sample thesis title for descriptive research

The Savvy Scientist

Experiences of a London PhD student and beyond

Thesis Title: Examples and Suggestions from a PhD Grad

Graphic of a researcher writing, perhaps a thesis title

When you’re faced with writing up a thesis, choosing a title can often fall to the bottom of the priority list. After all, it’s only a few words. How hard can it be?!

In the grand scheme of things I agree that picking your thesis title shouldn’t warrant that much thought, however my own choice is one of the few regrets I have from my PhD . I therefore think there is value in spending some time considering the options available.

In this post I’ll guide you through how to write your own thesis title and share real-world examples. Although my focus is on the PhD thesis, I’ve also included plenty of thesis title examples for bachelor’s and master’s research projects too.

Hopefully by the end of the post you’ll feel ready to start crafting your own!

Why your thesis title is at least somewhat important

It sounds obvious but your thesis title is the first, and often only, interaction people will have with your thesis. For instance, hiring managers for jobs that you may wish to apply for in the future. Therefore you want to give a good sense of what your research involved from the title.

Many people will list the title of their thesis on their CV, at least for a while after graduating. All of the example titles I’ve shared below came from my repository of academic CVs . I’d say roughly 30% of all the academics on that page list their thesis title, which includes academics all the way up to full professor.

Your thesis title could therefore feature on your CV for your whole career, so it is probably worth a bit of thought!

My suggestions for choosing a good thesis title

Make it descriptive of the research so it’s immediately obvious what it is about! Most universities will publish student theses online ( here’s mine! ) and they’re indexed so can be found via Google Scholar etc. Therefore give your thesis a descriptive title so that interested researchers can find it in the future.
Don’t get lost in the detail . You want a descriptive title but avoid overly lengthy descriptions of experiments. Unless a certain analytical technique etc was central to your research, I’d suggest by default* to avoid having it in your title. Including certain techniques will make your title, and therefore research, look overly dated, which isn’t ideal for potential job applications after you graduate.
The title should tie together the chapters of your thesis. A well-phrased title can do a good job of summarising the overall story of your thesis. Think about each of your research chapters and ensure that the title makes sense for each of them.
Be strategic . Certain parts of your work you want to emphasise? Consider making them more prominent in your title. For instance, if you know you want to pivot to a slightly different research area or career path after your PhD, there may be alternative phrasings which describe your work just as well but could be better understood by those in the field you’re moving into. I utilised this a bit in my own title which we’ll come onto shortly.
Do your own thing. Having just laid out some suggestions, do make sure you’re personally happy with the title. You get a lot of freedom to choose your title, so use it however you fancy. For example, I’ve known people to use puns in their title, so if that’s what you’re into don’t feel overly constrained.

*This doesn’t always hold true and certainly don’t take my advice if 1) listing something in your title could be a strategic move 2) you love the technique so much that you’re desperate to include it!

Thesis title examples

To help give you some ideas, here are some example thesis titles from Bachelors, Masters and PhD graduates. These all came from the academic CVs listed in my repository here .

Bachelor’s thesis title examples

Hysteresis and Avalanches Paul Jager , 2014 – Medical Imaging – DKFZ Head of ML Research Group – direct link to Paul’s machine learning academic CV

The bioenergetics of a marine ciliate, Mesodinium rubrum Holly Moeller , 2008 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor – direct link to Holly’s marine biology academic CV

Functional syntactic analysis of prepositional and causal constructions for a grammatical parser of Russian Ekaterina Kochmar , 2008 – Computer Science – University of Bath Lecturer Assistant Prof – direct link to Ekaterina’s computer science academic CV

Master’s thesis title examples

Creation of an autonomous impulse response measurement system for rooms and transducers with different methods Guy-Bart Stan , 2000 – Bioengineering – Imperial Professor – direct link to Guy-Bart’s bioengineering academic CV

Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters Adrian Vasile Dalca , 2012 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist – direct link to Adrian’s machine learning academic CV

The detection of oil under ice by remote mode conversion of ultrasound Eric Yeatman , 1986 – Electronics – Imperial Professor and Head of Department – direct link to Eric’s electronics academic CV

Ensemble-Based Learning for Morphological Analysis of German Ekaterina Kochmar , 2010 – Computer Science – University of Bath Lecturer Assistant Prof – direct link to Ekaterina’s computer science academic CV

VARiD: A Variation Detection Framework for Color-Space and Letter-Space Platforms Adrian Vasile Dalca , 2010 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist – direct link to Adrian’s machine learning academic CV

Identification of a Writer’s Native Language by Error Analysis Ekaterina Kochmar , 2011 – Computer Science – University of Bath Lecturer Assistant Prof – direct link to Ekaterina’s computer science academic CV

On the economic optimality of marine reserves when fishing damages habitat Holly Moeller , 2010 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor – direct link to Holly’s marine biology academic CV

Sensitivity Studies for the Time-Dependent CP Violation Measurement in B 0 → K S K S K S at the Belle II-Experiment Paul Jager , 2016 – Medical Imaging – DKFZ Head of ML Research Group – direct link to Paul’s machine learning academic CV

PhD thesis title examples

Spatio-temporal analysis of three-dimensional real-time ultrasound for quantification of ventricular function Esla Angelini – Medicine – Imperial Senior Data Scientist – direct link to Elsa’s medicine academic CV

The role and maintenance of diversity in a multi-partner mutualism: Trees and Ectomycorrhizal Fungi Holly Moeller , 2015 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor – direct link to Holly’s marine biology academic CV

Bayesian Gaussian processes for sequential prediction, optimisation and quadrature Michael Osborne , 2010 – Machine Learning – Oxford Full Professor – direct link to Michael’s machine learning academic CV

Global analysis and synthesis of oscillations: a dissipativity approach Guy-Bart Stan , 2005 – Bioengineering – Imperial Professor – direct link to Guy-Bart’s bioengineering academic CV

Coarse-grained modelling of DNA and DNA self-assembly Thomas Ouldridge , 2011– Bioengineering – Imperial College London Senior Lecturer / Associate Prof – direct link to Thomas’ bioengineering academic CV

4D tomographic image reconstruction and parametric maps estimation: a model-based strategy for algorithm design using Bayesian inference in Probabilistic Graphical Models (PGM) Michele Scipioni , 2018– Biomedical Engineer – Harvard Postdoctoral Research Fellow – direct link to Michele’s biomedical engineer academic CV

Error Detection in Content Word Combinations Ekaterina Kochmar , 2016 – Computer Science – University of Bath Lecturer Assistant Prof – direct link to Ekaterina’s computer science academic CV

Genetic, Clinical and Population Priors for Brain Images Adrian Vasile Dalca , 2016 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist – direct link to Adrian’s machine learning academic CV

Challenges and Opportunities of End-to-End Learning in Medical Image Classification Paul Jager , 2020 – Medical Imaging – DKFZ Head of ML Research Group – direct link to Paul’s machine learning academic CV

K 2 NiF 4 materials as cathodes for intermediate temperature solid oxide fuel cells Ainara Aguadero , 2006 – Materials Science – Imperial Reader – direct link to Ainara’s materials science academic CV

Applications of surface plasmons – microscopy and spatial light modulation Eric Yeatman , 1989 – Electronics – Imperial Professor and Head of Department – direct link to Eric’s electronics academic CV

Geometric Algorithms for Objects in Motion Sorelle Friedler , 2010 – Computer science – Haverford College Associate Professor – direct link to Sorelle’s computer science academic CV .

Geometrical models, constraints design, information extraction for pathological and healthy medical image Esla Angelini – Medicine – Imperial Senior Data Scientist – direct link to Elsa’s medicine academic CV

Why I regret my own choice of PhD thesis title

I should say from the outset that I assembled my thesis in quite a short space of time compared to most people. So I didn’t really spend particularly long on any one section, including the title.

However, my main supervisor even spelled out for me that once the title was submitted to the university it would be permanent. In other words: think wisely about your title.

What I started with

Initially I drafted the title as something like: Three dimensional correlative imaging for cartilage regeneration . Which I thought was nice, catchy and descriptive.

I decided to go for “correlative imaging” because, not only did it describe the experiments well, but it also sounded kind of technical and fitting of a potential pivot into AI. I’m pleased with that bit of the title.

What I ended up with

Before submitting the title to the university (required ahead of the viva), I asked my supervisors for their thoughts.

One of my well intentioned supervisors suggested that, given that my project didn’t involve verifying regenerative quality, I probably shouldn’t state cartilage regeneration . Instead, they suggested, I should state what I was experimenting on (the materials) rather than the overall goal of the research (aid cartilage regeneration efforts).

With this advice I dialled back my choice of wording and the thesis title I went with was:

Three dimensional correlative imaging for measurement of strain in cartilage and cartilage replacement materials

Reading it back now I’m reminder about how less I like it than my initial idea!

I put up basically no resistance to the supervisor’s choice, even though the title sounds so much more boring in my opinion. I just didn’t think much of it at the time. Furthermore, most of my PhD was actually in a technique which is four dimensional (looking at a series of 3D scans over time, hence 4D) which would have sounded way more sciency and fitting of a PhD.

What I wish I’d gone with

If I had the choice again, I’d have gone with:

Four-dimensional correlative imaging for cartilage regeneration

Which, would you believe it, is exactly what it states on my CV…

Does the thesis title really matter?

In all honesty, your choice of thesis title isn’t that important. If you come to regret it, as I do, it’s not the end of the world. There are much more important things in life to worry about.

If you decide at a later stage that you don’t like it you can always describe it in a way that you prefer. For instance, in my CV I describe my PhD as I’d have liked the title to be. I make no claim that it’s actually the title so consider it a bit of creative license.

Given that as your career progresses you may not even refer back to your thesis much, it’s really not worth stressing over. However, if you’re yet to finalise your thesis title I do still think it is worth a bit of thought and hopefully this article has provided some insights into how to choose a good thesis title.

My advice for developing a thesis title

Draft the title early. Drafting it early can help give clarity for the overall message of your research. For instance, while you’re assembling the rest of your thesis you can check that the title encompasses the research chapters you’re included, and likewise that the research experiments you’re including fall within what the title describes. Drafting it early also gives more time you to think it over. As with everything: having a first draft is really important to iterate on.
Look at some example titles . Such as those featured above!
If you’re not sure about your title, ask a few other people what they think . But remember that you have the final say!

I hope this post has been useful for those of you are finalising your thesis and need to decide on a thesis title. If you’ve enjoyed this article and would like to hear about future content (and gain access to my free resource library!) you can subscribe for free here:

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18 Descriptive Research Examples

Descriptive research examples and definition, explained below

Descriptive research involves gathering data to provide a detailed account or depiction of a phenomenon without manipulating variables or conducting experiments.

A scholarly definition is:

“Descriptive research is defined as a research approach that describes the characteristics of the population, sample or phenomenon studied. This method focuses more on the “what” rather than the “why” of the research subject.” (Matanda, 2022, p. 63)

The key feature of descriptive research is that it merely describes phenomena and does not attempt to manipulate variables nor determine cause and effect .

To determine cause and effect , a researcher would need to use an alternate methodology, such as experimental research design .

Common approaches to descriptive research include:

Cross-sectional research : A cross-sectional study gathers data on a population at a specific time to get descriptive data that could include categories (e.g. age or income brackets) to get a better understanding of the makeup of a population.
Longitudinal research : Longitudinal studies return to a population to collect data at several different points in time, allowing for description of changes in categories over time. However, as it’s descriptive, it cannot infer cause and effect (Erickson, 2017).

Methods that could be used include:

Surveys: For example, sending out a census survey to be completed at the exact same date and time by everyone in a population.
Case Study : For example, an in-depth description of a specific person or group of people to gain in-depth qualitative information that can describe a phenomenon but cannot be generalized to other cases.
Observational Method : For example, a researcher taking field notes in an ethnographic study. (Siedlecki, 2020)

Descriptive Research Examples

1. Understanding Autism Spectrum Disorder (Psychology): Researchers analyze various behavior patterns, cognitive skills, and social interaction abilities specific to children with Autism Spectrum Disorder to comprehensively describe the disorder’s symptom spectrum. This detailed description classifies it as descriptive research, rather than analytical or experimental, as it merely records what is observed without altering any variables or trying to establish causality.

2. Consumer Purchase Decision Process in E-commerce Marketplaces (Marketing): By documenting and describing all the factors that influence consumer decisions on online marketplaces, researchers don’t attempt to predict future behavior or establish causes—just describe observed behavior—making it descriptive research.

3. Impacts of Climate Change on Agricultural Practices (Environmental Studies): Descriptive research is seen as scientists outline how climate changes influence various agricultural practices by observing and then meticulously categorizing the impacts on crop variability, farming seasons, and pest infestations without manipulating any variables in real-time.

4. Work Environment and Employee Performance (Human Resources Management): A study of this nature, describing the correlation between various workplace elements and employee performance, falls under descriptive research as it merely narrates the observed patterns without altering any conditions or testing hypotheses.

5. Factors Influencing Student Performance (Education): Researchers describe various factors affecting students’ academic performance, such as studying techniques, parental involvement, and peer influence. The study is categorized as descriptive research because its principal aim is to depict facts as they stand without trying to infer causal relationships.

6. Technological Advances in Healthcare (Healthcare): This research describes and categorizes different technological advances (such as telemedicine, AI-enabled tools, digital collaboration) in healthcare without testing or modifying any parameters, making it an example of descriptive research.

7. Urbanization and Biodiversity Loss (Ecology): By describing the impact of rapid urban expansion on biodiversity loss, this study serves as a descriptive research example. It observes the ongoing situation without manipulating it, offering a comprehensive depiction of the existing scenario rather than investigating the cause-effect relationship.

8. Architectural Styles across Centuries (Art History): A study documenting and describing various architectural styles throughout centuries essentially represents descriptive research. It aims to narrate and categorize facts without exploring the underlying reasons or predicting future trends.

9. Media Usage Patterns among Teenagers (Sociology): When researchers document and describe the media consumption habits among teenagers, they are performing a descriptive research study. Their main intention is to observe and report the prevailing trends rather than establish causes or predict future behaviors.

10. Dietary Habits and Lifestyle Diseases (Nutrition Science): By describing the dietary patterns of different population groups and correlating them with the prevalence of lifestyle diseases, researchers perform descriptive research. They merely describe observed connections without altering any diet plans or lifestyles.

11. Shifts in Global Energy Consumption (Environmental Economics): When researchers describe the global patterns of energy consumption and how they’ve shifted over the years, they conduct descriptive research. The focus is on recording and portraying the current state without attempting to infer causes or predict the future.

12. Literacy and Employment Rates in Rural Areas (Sociology): A study aims at describing the literacy rates in rural areas and correlating it with employment levels. It falls under descriptive research because it maps the scenario without manipulating parameters or proving a hypothesis.

13. Women Representation in Tech Industry (Gender Studies): A detailed description of the presence and roles of women across various sectors of the tech industry is a typical case of descriptive research. It merely observes and records the status quo without establishing causality or making predictions.

14. Impact of Urban Green Spaces on Mental Health (Environmental Psychology): When researchers document and describe the influence of green urban spaces on residents’ mental health, they are undertaking descriptive research. They seek purely to understand the current state rather than exploring cause-effect relationships.

15. Trends in Smartphone usage among Elderly (Gerontology): Research describing how the elderly population utilizes smartphones, including popular features and challenges encountered, serves as descriptive research. Researcher’s aim is merely to capture what is happening without manipulating variables or posing predictions.

16. Shifts in Voter Preferences (Political Science): A study describing the shift in voter preferences during a particular electoral cycle is descriptive research. It simply records the preferences revealed without drawing causal inferences or suggesting future voting patterns.

17. Understanding Trust in Autonomous Vehicles (Transportation Psychology): This comprises research describing public attitudes and trust levels when it comes to autonomous vehicles. By merely depicting observed sentiments, without engineering any situations or offering predictions, it’s considered descriptive research.

18. The Impact of Social Media on Body Image (Psychology): Descriptive research to outline the experiences and perceptions of individuals relating to body image in the era of social media. Observing these elements without altering any variables qualifies it as descriptive research.

Descriptive vs Experimental Research

Descriptive research merely observes, records, and presents the actual state of affairs without manipulating any variables, while experimental research involves deliberately changing one or more variables to determine their effect on a particular outcome.

De Vaus (2001) succinctly explains that descriptive studies find out what is going on , but experimental research finds out why it’s going on /

Simple definitions are below:

Descriptive research is primarily about describing the characteristics or behaviors in a population, often through surveys or observational methods. It provides rich detail about a specific phenomenon but does not allow for conclusive causal statements; however, it can offer essential leads or ideas for further experimental research (Ivey, 2016).
Experimental research , often conducted in controlled environments, aims to establish causal relationships by manipulating one or more independent variables and observing the effects on dependent variables (Devi, 2017; Mukherjee, 2019).

Experimental designs often involve a control group and random assignment . While it can provide compelling evidence for cause and effect, its artificial setting might not perfectly mirror real-worldly conditions, potentially affecting the generalizability of its findings.

These two types of research are complementary, with descriptive studies often leading to hypotheses that are then tested experimentally (Devi, 2017; Zhao et al., 2021).

Benefits and Limitations of Descriptive Research

Descriptive research offers several benefits: it allows researchers to gather a vast amount of data and present a complete picture of the situation or phenomenon under study, even within large groups or over long time periods.

It’s also flexible in terms of the variety of methods used, such as surveys, observations, and case studies, and it can be instrumental in identifying patterns or trends and generating hypotheses (Erickson, 2017).

However, it also has its limitations.

The primary drawback is that it can’t establish cause-effect relationships, as no variables are manipulated. This lack of control over variables also opens up possibilities for bias, as researchers might inadvertently influence responses during data collection (De Vaus, 2001).

Additionally, the findings of descriptive research are often not generalizable since they are heavily reliant on the chosen sample’s characteristics.

See More Types of Research Design Here

De Vaus, D. A. (2001). Research Design in Social Research . SAGE Publications.

Devi, P. S. (2017). Research Methodology: A Handbook for Beginners . Notion Press.

Erickson, G. S. (2017). Descriptive research design. In New Methods of Market Research and Analysis (pp. 51-77). Edward Elgar Publishing.

Gresham, B. B. (2016). Concepts of Evidence-based Practice for the Physical Therapist Assistant . F.A. Davis Company.

Ivey, J. (2016). Is descriptive research worth doing?. Pediatric nursing , 42 (4), 189. ( Source )

Krishnaswamy, K. N., Sivakumar, A. I., & Mathirajan, M. (2009). Management Research Methodology: Integration of Principles, Methods and Techniques . Pearson Education.

Matanda, E. (2022). Research Methods and Statistics for Cross-Cutting Research: Handbook for Multidisciplinary Research . Langaa RPCIG.

Monsen, E. R., & Van Horn, L. (2007). Research: Successful Approaches . American Dietetic Association.

Mukherjee, S. P. (2019). A Guide to Research Methodology: An Overview of Research Problems, Tasks and Methods . CRC Press.

Siedlecki, S. L. (2020). Understanding descriptive research designs and methods. Clinical Nurse Specialist , 34 (1), 8-12. ( Source )

Zhao, P., Ross, K., Li, P., & Dennis, B. (2021). Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach . SAGE Publications.

Dave Cornell (PhD)

Dr. Cornell has worked in education for more than 20 years. His work has involved designing teacher certification for Trinity College in London and in-service training for state governments in the United States. He has trained kindergarten teachers in 8 countries and helped businessmen and women open baby centers and kindergartens in 3 countries.

Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 25 Positive Punishment Examples
Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 25 Dissociation Examples (Psychology)
Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 15 Zone of Proximal Development Examples
Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ Perception Checking: 15 Examples and Definition

Chris Drew (PhD)

This article was peer-reviewed and edited by Chris Drew (PhD). The review process on Helpful Professor involves having a PhD level expert fact check, edit, and contribute to articles. Reviewers ensure all content reflects expert academic consensus and is backed up with reference to academic studies. Dr. Drew has published over 20 academic articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education and holds a PhD in Education from ACU.

Chris Drew (PhD) #molongui-disabled-link 25 Positive Punishment Examples
Chris Drew (PhD) #molongui-disabled-link 25 Dissociation Examples (Psychology)
Chris Drew (PhD) #molongui-disabled-link 15 Zone of Proximal Development Examples
Chris Drew (PhD) #molongui-disabled-link Perception Checking: 15 Examples and Definition

1 thought on “18 Descriptive Research Examples”

Very nice, educative article. I appreciate the efforts.

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Political Science

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Public Opinion Transition in China: Evidence from Weibo (2022)
Gender and Co-sponsorship in U.S. Congress (2017)
Accessing Social Influences of Congressmen with Keyword Network (2016)
How presidential election in 2016 affects the stock market – A Twitter sentiment analysis perspective (2016)
Assessing Assessors: A Study on Anti-Corruption Strategies in New York City’s Property Tax System (2016)
Demographic Trends in Virginia 2013
The determinants of Party and Coalition Identification in Chile: The effect of long and short-term factors (2013)
Radical Moderation: Factors Affecting Support for Islamic Extremism (2012)
Accommodationists versus Hardliners in Slovakia: Correlates of Public Opinion on Selected Foreign Policy Topics 2004 - 2010 (2012)
Measurement and Belief: Determinants of Federal Funding for Public Diplomacy Programs (2010)
Consumerism and Political Connectedness in Socialist Czechoslovakia (2010) - History
Civilizations and Social Tolerance: A Multi-Level Analysis of 58 Countries (2008)
How Does the 1965 Immigration Act Matter? (2006)
7200 Revolutions per Minute: An Economic Analysis of the Struggle between the Recording Industry and Peer-to-Peer File Sharing Networks (2005)
Classifying Myers-Briggs Personality Type based on Text (2021)
Hiding Behind the Computer Screen: Imposter Phenomenon in the Tech Industry (2022)
Relation between dark tourism on-site experience and visitors’ satisfaction (2022)
Evaluating the Impact of Self-perceptions of Creativity and DemographicFactors on Arts Participation: Evidence from the United States (2021)
Running head: QUEER HAPPINESS AND SUPPORTExamining Happiness in LGBTQ+ People and its Relationshipwith Worsened Parental Relationships After Coming Out (2021)
The Impact of Donating Behavior on the Level of Happiness (2021)
Birds of a Feather, or Do Opposites Attract? THE IMPACT OF PERSONALITY TRAITS ON CONSTRAINT AND HOMOPHILY WITHIN SOCIAL NETWORKS (2017)
Predicting Social Value Orientation from Personal Information and Survey Metadata (2017)
All the Feels: Sentiment Analysis Between Emoji and Text (2017)
Social Media Interface and the Next Generation Cognitive Mapping in New York City (2016)
Is Prospective Memory Ability Flexible? Manipulating Value to Increase Goal Significance (2011)
Will a Nation Be Happier with a More Even Income Distribution? (2007)
Behavioral Extensions to the Topology of Fear: A Gedankenexperimen (2007)
Psychological Control and Preschoolers' Externalizing and Internalizing Behaviors in China (2003)
Prevalence and success of diversity-and-inclusion projects on education crowdfunding platform (2022)
Does gentrification cause the displacement of urban black populations? (2022)
Feedback and Gender in the Workplace: Should You Expect Equal Evaluation from Men and Women? (2021)
What are the determinants for art practitioners to choose self-employment? (2022)
An empirical research for studying the influence of star popularity on the box office of movies (2022)
Couple Dissolution Between Couples Who Meet Offline Versus Couples Who Meet Offline (2021)
Masculine Men Who Wear Makeup: Exploring the Evolving Masculinity (2021)
Do Individual Or Environmental Factors Play a Greater Role in Shaping the Intentions of Female High School Students to Enrol in STEM (2021) Programmes in University?:Evidence from the High School Longitudinal Study of 2009 (2021)
COVID-19 Information Narrative Beliefs Across Social Media Platforms (2021)
Spatial Wage Penalty for Young Mothers: Exploring the Discrepancy of Education Return between Metro and Non-metro Areas (2016)
Inequality Matters: A new Empirical Framework for Studying the Impact of Rising Socioeconomic Inequality on the Poor (2016)
Immigration, Income, and Occupation: Peruvian Immigrants in the Chilean Labor Market (2014)
Preferring France's 35-Hour Workweek: The Effects of Media on Work-Life Balance Preference Formation (2014)
The Effect of College Education on Individual Social Trust in the United States– An Examination of the Causal Mechanisms (2013)
Socio-economic Inequality and Socio-emotional Relationship Quality: Cause and effect? (2013)
Examination of the Relationship between mother's employment status and one's family gender role attitudes (2012)
A Study of Materialism Level among Mid-Atlantic residents (2012)
Relation Recombination - A Sociological Patent Analysis (2012)
The Relationship between Religious Attitudes and Concern for the Environment (2012)
Marrying Down: The Gender Gap in Post-Secondary Completion & Education Hypogamy between 1960 and 2010 (2012)
2.0 Social Networks Have an Impact on our Real Lives (2011)
Evidence of Ethnic Solidarity in Marriage Patterns of Hmong and Sino-Vietnamese in United States (2011)
What Explains the Racial Disparity in Employment Discrimination Case Outcomes? (2010)
Reading Race: The Changing Views of Human Difference in American History Textbooks, 1870-1930 (2010)
Satisfaction with Life (2010)
Entering the "Real World": An Empirical Investigation of College Graduates' Satisfaction with Life (2010)
The Relationship between the Establishment of Marine Protected Areas and Biomass Productivity of Municipal Fisheries in the Philippines (2010)
Performance Surveys, Citizen Respondents, and Satisfaction of Public Services: An Analysis of NYC Feedback Citywide Customer Survey (2009)
Analysis of Job Retention Programs of the Center for Employment Opportunities of the Formerly Incarcerated (2009)
The Intergenerational Transfer of Human Capital: The Role of Grandparents' Education in Grandchildren's Cognitive Abilities (2009)
Are Homicide Trends Fads? Diffusion Analysis of the Urban-rural Spillover Effects on Homicide Incidents from 1960-1990 in the South Atlantic States (2008)
Rejection Sensitivity and the Contagious Effect of Mood Regulation in Romantic Couples (2008)
Women and the Homeostasis of the Inmate Population
An Examination of the Relationship between Government Funding Allocation and Services Provided by Nonprofit Organizations in Brooklyn and the Bronx, 1997-2000 (2007)
The Concurrent Validity of Maternal Self-report: The Impact of Social Desirability on Substance Use and Prenatal Care (2006)
The Effect of Housing Programs on the Economic Outcomes: Utilizing Observation Study Results from Minnesota Family Investment Program (2005)
The Influences of Physician Attributes on Cesarean Likelihood (2004)
Effects of Unemployment, Female Labor Force Participation, and Divorce on Suicide in Turkey: A Durkheimian Evaluation in a non-Western Milieu (2004)
An Experimental Study of the Small World Problem (2002)
The Relationship between Welfare Participation and Social Support (2002)
Sound and Silence: A Structural Analysis of Conversation Topics (2002)
A Reexamination of the Police and Crime Relationship: The New Role Community Policing Plays in Crime Prevention (2001)
DNA Evidence in Court: Jurors, Statistical Training, and Pre-instruction in the Procedural Law (2001)
The Role of Race in Education: An Analysis of Children in Brazil (2001)

Statistics/Computer Science

Predicting Spotify's songs' popularity (2022)
Hiding Behind the Computer Screen: Imposter Phenomenon in the Tech Industry (2021)
An Unsupervised Learning Approach to Address Crime in Mexico, 2012 – 2016 (2017)
Imputation of a variable completely unobserved in one wave of a panel: father’s earnings in the Fragile Families and Child Wellbeing Study (2016)

An Analysis of Pairwise Preference (2016)

Measuring Political Risk and Market Returns (2014)
Which Yelp Reviews will be Voted Useful?- Predicting the Number of Useful Votes Yelp Reviews will get using Machine Learning Algorithms (2014)
Polities and Size: Legitimizing or Limiting? (2013)
The Role of Domain Knowledge in Environmental Concern and Willingness-to-Pay for Environmental Protection: Results from a U.S. Survey of Public Opinion (2013)
The Power to Judge: Social Power Influences Moral Judgments of Simple and Complex Transgressions (2013)
A Time Series Analysis of Crime Rates and Concern for Crime in the United States: 1973-2010 (2012)
TV Gets Social: Evaluating Social Media Data to Explain Variability among Nielsen TV Ratings (2012)
Unit Root or Mean Reversion in Stock Index: Evidence from Nigeria (2010)
Homogeneity in Political Discussion Networks and its Factors (2007)
Why Shift Policy? (2006)
Point Detection for Poisson Disorder - Application in Earthquake Occurrence in Northern California, 1910 - 1999 (2004)
Stock Volatility and Economic Activity: A Causal Analysis (2004)
Strategic Information Transmission in Lobbying (2003)
Economic Theory and Happiness in Mexico: An Extension (2001)
Sales Forecasting Methods: A Consumer Products Company's Perspective (2001)
Soccer Teams Need to Win at Home: The Fans that Increase those Chances (2001)
The impact of school management on student performance (2022)
An investigation of the relationship between educational attainment and COVID-19 vaccination hesitancy in the US (2022)
Does Accountability Help or HinderSchools?: The Mississippi School Accountability Model and its Effect on School Performance (2021)
The Relationship between Education and Health (2021)
Quantifying Variation in American School Safety with Explainable Machine Learning:An Application of Machine Learning Feature Importances for the Social Sciences (2021)
Age, Gender, and Comorbidities Affect Prevalence of Dyscalculia and Dyslexia, A Large-Scale Study of Specific Learning Disabilities Among Chinese Children (2021)
Validation of Fitbit for use in Objective Measurement of Physical Activity and Sleep in Children and Adults (2014)
Do Experienced Principals Fare Better? Estimates of Principal Value-Added (2014)
Beyond the Test Score Gap: Non-Cognitive Skills, High School Graduation, and Post-Secondary Employment (2012)
The Impact of the Level of Native Language Proficiency on the Literacy Achievement of English Language Leisures (2012)
The Effect of School Building Design on Student Achievement (2011)
Measuring Universal Primary Education Using Household Survey Data: The Case of the Millennium Villages Project (2011)
An Additional Burden for Urban Schools: Teacher Transfer Policies and School Performance (2011)
Evaluating Dual Enrollment Programs: Do Location and Instructor Matter? (2010)
A Multi-level Growth-curve Analysis of the Association between Student Body Composition and English Literacy Development among Language Minority Students in New York City Public Schools (2010)
Methods Supporting Policies in Education Reform (2010)
Have Inclusionary Policies in Higher Education Really Helped?: Looking at College Accessibility and the College-wage Premium, 1962-2007 (2010)
NCLB and Curriculum Standards: What Really Impacts Teachers' Decisions to Leave the Profession? (2010)
Exploring the Relationship between Video Games and Academic Achievement via Cross-sectional and Longitudinal Analyses (2009)
Racial Disparities in Collegiate Cognitive Gains: A Multi-level Analysis of Institutional Influences on Learning and its Equitable Distribution (2009)
Hoping for Higher Ed: The Differential Effects of Parental Expectations of Education Attainment (2009)
The Impact of Family Communication on Risk Behavior among Boston Public High School Students (2009)
Path Towards an Attainable Future: The Effect of College Access Programs on High School Dropout (2009)
Traditional vs. Non-traditional College Students and Future Job Satisfaction: A Statistical Approach (2008)
A Multi-level Analysis of Student Assignment to Out-of-field and Uncertified High School Math Teachers: Implications for Educational Equity and Access (2008)
The Impact of Obesity on Education (2005)
The Gender Gap in Standardized Math Tests: Do the Gender Gaps in Math Self-concept and Other Affective Variables Contribute to the Gender Gap in Scores? (2004)
An Alternative Approach to Selection Bias in School Choice: Using Propensity Score Matching to Examine School Sector and Teacher Quality Impact on Educational Outcomes (2003)

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Writing Clear Science

Learn to write clearly and succinctly, without sacrificing the accuracy of your topic..

How to write good research paper titles

sample thesis title for descriptive research

Your title is the first and most important step in engaging your reader. It should be concise, interesting and summarise the essential content of the document. Any title that is lengthy, overly complex, ambiguous or misleading can turn away prospective readers. This writing guide gives an overview of the different types of titles and explains the essential steps in designing your title.

Title structure

Titles can be sentence fragments, complete sentences or compound sentences with the second sentence typically following a colon.

To help the paper appear in search results, it is common practice to place keywords in the title. Keywords used in the title should be placed in the beginning in case only a fragment of the title appears in the search results.

Terms used to describe types of titles

Common terms used to describe different types of research paper titles are Descriptive, declarative, interrogative, suggestive, humorous and combination titles.

Descriptive titles or indicative titles

Descriptive titles state the subject, topic, design, purpose or methods of the project. For example:

‘Effects of natural forest and tree plantations on leaf-litter frog assemblages in Southern Brazil.’ ( Cicheleiro et al. 2021 ).
‘An efficient incremental learning mechanism for tracking concept drift in spam filtering.’ ( Jyh-Jian et al. 2017 ).

Declarative or Informative titles

These titles give the main findings or result of the study. For example:

‘Novel flight style and light wings boost flight performance of tiny beetles.’ ( Farisenkov et al 2022 ).
‘Cause of hypereosinophilia shows itself after 6 years: Loa loa.’ ( Hicks et al. 2022 ).

There is some concern that presenting the results or conclusions in the title of a paper will appear presumptive: that titles containing a definitive statement or final conclusion of a study, might prove problematic if that finding is later disproved.

Some journals prefer informative titles. For example, the Journal of Clinical Epidemiology has “… an editorial policy of “more informative titles” (MITs) that crisply and concisely tell our readers what our authors found in their research. A MIT states the study type and summarizes its key findings, using the past tense for individual studies and the present tense for systematic reviews .” The idea is that titles for small individual studies should be written in past tense to allow future studies to overrule or disagree with their findings, while titles should be written in present tense for studies that are unlikely to be over-ruled by later studies: i.e. literature reviews. Some research has also demonstrated that “articles with short titles describing the results are cited more often.” ( Paiva et al. 2012 ).

Interrogative titles

Interrogative titles or titles phrased as a question. The use of questions in titles can create interest by making the reader immediately wonder what the answer might be. It is also a concise way of presenting the research topic.

For example:

‘Does adding video and subtitles to an audio lesson facilitate its comprehension?’ ( Zheng et al. 2022 ).
‘Microbial defenses against mobile genetic elements and viruses: Who defends whom from what?’ ( Eduardo et al. 2022 ).

Suggestive titles

These are titles that are slightly ambiguous or overly brief to hint or suggest what the findings might be, presumably to create suspense to entice the reader to find out what the answer is. For example:

‘Drawing to improve metacomprehension accuracy’. ( Thiede et al. 2022 ).
‘The puzzle of high temperature superconductivity in layered iron pnictides and chalcogenides.’ ( Johnston 2010 ).

Humorous or colloquial title

These are titles that hope to attract interest through humour or common-use sayings, colloquialism or metaphors. These types of titles can be used to good effect. However, be mindful that colloquialisms might not make sense to readers from different language or cultural backgrounds.

For example:

‘miR miR on the wall, who's the most malignant medulloblastoma miR of them all?’ ( Wang et al 2018 ).
‘One ring to multiplex them all’ ( Torres-Company 2017 ).
‘Sauropod farts warmed the planet.’ ( Marshall 2012 ).

Combination titles

Combination titles are those that include a combination of different types listed above.

The following example uses a colloquialism in the key title with the findings mentioned in the sub-title:

‘Standing out in a crowd: Intraspecific variability in dorsal patterning allows for photo-identification of a threatened anuran.’ ( Gould et al. 2021 ).

The following example has the following structure: ‘Topic: results of study’

Plastic Pollution in the World's Oceans: More than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at Sea ( Eriksen et al. 2014 ).

Which type is better?

There are conflicting views which type of title is better. There are arguments for and against different types, with research findings presenting the pros and cons of different types of title. Before you decide which is best, first look at how titles are commonly structured in recently published journals within your discipline.

Essential steps in designing your title

The following steps will help you design your document title.

1. Read the Instructions to Authors

Once you have selected a journal, review the types of titles recently published and read the Instructions to Authors to learn what the journal requires for paper titles. Instructions regarding titles are often brief. For example:

- Elsevier’s Guide for Authors “Title - Concise and informative. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible.”

- Plos One Submission Guidelines state that titles should be “…Specific, descriptive, concise, and comprehensible to readers outside the field.” and “…written in sentence case (only the first word of the text, proper nouns, and genus names are capitalized). Avoid specialist abbreviations if possible. For clinical trials, systematic reviews, or meta-analyses, the subtitle should include the study design.”

2. Consider your audience

Although the expected audience is broadly set by the scope of the journal, you still need to identify who will be interested in your paper. Who is your target audience? Are they scientists who mostly work in your field or will they include researchers from other disciplines? Consider what aspects of your project would attract your target audience and whether or not you can include these in your title.

3. Decide what aspects of your study to include in your title

As outlined above (Types of titles) decide whether you want to describe the process (descriptive) the result (informative) the research question or problem (integrative) or a combination of these factors.

Description of methods and study design

Titles of research papers, reports and conference proceedings often contain standard research methods. For example:

‘Plant-based diets and incident cardiovascular disease and all-cause mortality in African Americans: A cohort study.’ ( Weston et al. 2022 ).
‘Using scale modelling to assess the prehistoric acoustics of Stonehenge.’ ( Cox et al. 2020 ).
‘The use of chronosequences in studies of ecological succession and soil development.’ ( Walker et al 2010 ).

Description of study subjects and location

Titles often just describe the key study subject, and also often including habitat or location. For example:

‘Making (remote) sense of lianas.’ ( van der Heijden 2022 ).
‘The vulnerability of native rangeland plant species to global climate change in the West Asia and North African regions’ ( Ouled Belgacem & Louhaichi 2013 ).

How specific or general should your title be?

Your title should be unique to your project. Hopefully, no one else is writing a paper exactly the same as you, and your title should reflect this. If your title is too broad or general, then you may give the impression that the study is larger than it is or that it is a literature review. This is when it is important to make a distinction between ‘topic’ (general) and ‘title’ (specific). Unless you are writing a literature review or presenting a large-scale study, don’t give your research topic as your title.

Including information on the scope of the study will also help the reader understand the magnitude of your study and from this, the importance and implications of the findings. In the following example, “in highway bridges” gives the scope of the study:

‘Finite element based fatigue assessment of corrugated steel web beams in highway bridges.’ ( Wang & Wang 2015 ).

Avoid making your title too long with too much specific detail. For example, perhaps this title is too long:

‘Use of open-text responses to recode categorical survey data on postpartum contraception use among women in the United States: A mixed-methods inquiry of Pregnancy Risk Assessment Monitoring System data.’ ( Richards et al, 2022 ).

4. Consider your reader’s behaviour

Assume your reader only has a short time to decide if your title is relevant and that they will only review the abstract if the title interests them. Titles that include standard procedures, common cause-effect scenarios or well-known research topics, might be overlooked in preference for titles describing unique approaches or interesting findings.

5. Check that your title is clear and easy to read

Your main message must be clear. Your titles don’t have to be grammatically-complete sentences, but make sure they make sense, especially if you have tried to shorten them by cutting out words. Don’t sacrifice clarity for brevity by making your title obscure.

Beware of using adjectival-noun strings in your titles. This is when authors try and be more concise by placing too many adjectives in front a single noun making it difficult to decipher whether each adjective is actually modifying the root noun or another word in the adjectival-noun string. Take an example from a student report: ‘ Australian insecticide control failure .’ (Anon.) This might be interpreted as:

The failure of insecticide to control something in Australia.
The failure of Australian insecticide to control something somewhere else.
The failure to control [the use of] Australian insecticide.

Another unclear example: ‘Post head emergence spring radiative frost damage of winter cereals.’ (Anon.) It could be made even longer: ‘Winter cereal post head emergence spring radiative frost damage.’

6. Check your title length

The shorter the title, the easier it will be to read but only to a certain point. Too short and you risk sacrificing your meaning. Also, If you leave out too much detail, the title may appear too general and mislead the reader. If the reader has to guess what the meaning, you increase the chance of losing them. Check that your title is not too ambiguous, cryptic or inadvertently misleading. An ambiguous media release example:

‘Lupins show healthy potential for increased human consumption.’ ( Australian Food News 2008 ).

7. Check that your title is concise

Titles can be made more concise by removing unnecessary repetition and detail. Common research phrases can be removed without affecting the meaning or structure of the title. Examples of these research phrases include ‘The influence of...’, ‘The role of..’, ‘Effects of..’, ‘Observations of..,’ ‘Studies on...’

For example: ‘Annual variation in the distribution of summer snowdrifts in the Kosciuszko alpine area, Australia, and its effect on the composition and structure of alpine vegetation.’ ( Edmonds et al. 2006 ) [25 words] could be reduced to: “Distribution of summer snowdrifts influences composition and structure of Kosciuszko alpine vegetation, Australia” [13 words].

8. Ways to make your title more interesting

Ask a question

By writing a title in the form of a question you are immediately inviting the reader to think. For example:

‘Whose shoulders is health research standing on? Determining the key actors and contents of the prevailing biomedical research agenda.’ ( Testoni et al. 2021 ).

Be humorous or focus on the unusual or unexpected

Mildly humorous titles immediately engage the reader while unusual or unexpected tiles create curiosity.

‘On human odour, malaria mosquitoes, and Limburger cheese.’ ( Knols 1996 ).

Final considerations

My key advice is, ensure your title is concise, easy to read (for your target audience), not too long and adequately reflects your study’s design or purpose (not too general or too specific).

Is it hard to read?
If it is a question, does it make your reader wonder what the answer is?
If it is a summary of your methods, are these methods unique or reveal a fresh approach or are they just standard and well-known and therefore unlikely to stand-out?
If it is the answer or conclusion to your problem, are you risking letting the reader think they now don’t need to read the paper? Or might your conclusion-title be a way to hook your reader into finding out more about your study?
Does it create interest or curiosity?

Any suggestions or comments please email [email protected]

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Descriptive Research Designs: Types, Examples & Methods

One of the components of research is getting enough information about the research problem—the what, how, when and where answers, which is why descriptive research is an important type of research. It is very useful when conducting research whose aim is to identify characteristics, frequencies, trends, correlations, and categories.

This research method takes a problem with little to no relevant information and gives it a befitting description using qualitative and quantitative research method s. Descriptive research aims to accurately describe a research problem.

In the subsequent sections, we will be explaining what descriptive research means, its types, examples, and data collection methods.

What is Descriptive Research?

Descriptive research is a type of research that describes a population, situation, or phenomenon that is being studied. It focuses on answering the how, what, when, and where questions If a research problem, rather than the why.

This is mainly because it is important to have a proper understanding of what a research problem is about before investigating why it exists in the first place.

For example, an investor considering an investment in the ever-changing Amsterdam housing market needs to understand what the current state of the market is, how it changes (increasing or decreasing), and when it changes (time of the year) before asking for the why. This is where descriptive research comes in.

What Are The Types of Descriptive Research?

Descriptive research is classified into different types according to the kind of approach that is used in conducting descriptive research. The different types of descriptive research are highlighted below:

Descriptive-survey

Descriptive survey research uses surveys to gather data about varying subjects. This data aims to know the extent to which different conditions can be obtained among these subjects.

For example, a researcher wants to determine the qualification of employed professionals in Maryland. He uses a survey as his research instrument , and each item on the survey related to qualifications is subjected to a Yes/No answer.

This way, the researcher can describe the qualifications possessed by the employed demographics of this community.

Descriptive-normative survey

This is an extension of the descriptive survey, with the addition being the normative element. In the descriptive-normative survey, the results of the study should be compared with the norm.

For example, an organization that wishes to test the skills of its employees by a team may have them take a skills test. The skills tests are the evaluation tool in this case, and the result of this test is compared with the norm of each role.

If the score of the team is one standard deviation above the mean, it is very satisfactory, if within the mean, satisfactory, and one standard deviation below the mean is unsatisfactory.

Descriptive-status

This is a quantitative description technique that seeks to answer questions about real-life situations. For example, a researcher researching the income of the employees in a company, and the relationship with their performance.

A survey will be carried out to gather enough data about the income of the employees, then their performance will be evaluated and compared to their income. This will help determine whether a higher income means better performance and low income means lower performance or vice versa.

Descriptive-analysis

The descriptive-analysis method of research describes a subject by further analyzing it, which in this case involves dividing it into 2 parts. For example, the HR personnel of a company that wishes to analyze the job role of each employee of the company may divide the employees into the people that work at the Headquarters in the US and those that work from Oslo, Norway office.

A questionnaire is devised to analyze the job role of employees with similar salaries and who work in similar positions.

Descriptive classification

This method is employed in biological sciences for the classification of plants and animals. A researcher who wishes to classify the sea animals into different species will collect samples from various search stations, then classify them accordingly.

Descriptive-comparative

In descriptive-comparative research, the researcher considers 2 variables that are not manipulated, and establish a formal procedure to conclude that one is better than the other. For example, an examination body wants to determine the better method of conducting tests between paper-based and computer-based tests.

A random sample of potential participants of the test may be asked to use the 2 different methods, and factors like failure rates, time factors, and others will be evaluated to arrive at the best method.

Correlative Survey

Correlative surveys are used to determine whether the relationship between 2 variables is positive, negative, or neutral. That is, if 2 variables say X and Y are directly proportional, inversely proportional or are not related to each other.

Examples of Descriptive Research

There are different examples of descriptive research, that may be highlighted from its types, uses, and applications. However, we will be restricting ourselves to only 3 distinct examples in this article.

Comparing Student Performance:

An academic institution may wish 2 compare the performance of its junior high school students in English language and Mathematics. This may be used to classify students based on 2 major groups, with one group going ahead to study while courses, while the other study courses in the Arts & Humanities field.

Students who are more proficient in mathematics will be encouraged to go into STEM and vice versa. Institutions may also use this data to identify students’ weak points and work on ways to assist them.

Scientific Classification

During the major scientific classification of plants, animals, and periodic table elements, the characteristics and components of each subject are evaluated and used to determine how they are classified.

For example, living things may be classified into kingdom Plantae or kingdom animal is depending on their nature. Further classification may group animals into mammals, pieces, vertebrae, invertebrae, etc.

All these classifications are made a result of descriptive research which describes what they are.

Human Behavior

When studying human behaviour based on a factor or event, the researcher observes the characteristics, behaviour, and reaction, then use it to conclude. A company willing to sell to its target market needs to first study the behaviour of the market.

This may be done by observing how its target reacts to a competitor’s product, then use it to determine their behaviour.

What are the Characteristics of Descriptive Research?

The characteristics of descriptive research can be highlighted from its definition, applications, data collection methods, and examples. Some characteristics of descriptive research are:

Quantitativeness

Descriptive research uses a quantitative research method by collecting quantifiable information to be used for statistical analysis of the population sample. This is very common when dealing with research in the physical sciences.

Qualitativeness

It can also be carried out using the qualitative research method, to properly describe the research problem. This is because descriptive research is more explanatory than exploratory or experimental.

Uncontrolled variables

In descriptive research, researchers cannot control the variables like they do in experimental research.

The basis for further research

The results of descriptive research can be further analyzed and used in other research methods. It can also inform the next line of research, including the research method that should be used.

This is because it provides basic information about the research problem, which may give birth to other questions like why a particular thing is the way it is.

Why Use Descriptive Research Design?

Descriptive research can be used to investigate the background of a research problem and get the required information needed to carry out further research. It is used in multiple ways by different organizations, and especially when getting the required information about their target audience.

Define subject characteristics :

It is used to determine the characteristics of the subjects, including their traits, behaviour, opinion, etc. This information may be gathered with the use of surveys, which are shared with the respondents who in this case, are the research subjects.

For example, a survey evaluating the number of hours millennials in a community spends on the internet weekly, will help a service provider make informed business decisions regarding the market potential of the community.

Measure Data Trends

It helps to measure the changes in data over some time through statistical methods. Consider the case of individuals who want to invest in stock markets, so they evaluate the changes in prices of the available stocks to make a decision investment decision.

Brokerage companies are however the ones who carry out the descriptive research process, while individuals can view the data trends and make decisions.

Descriptive research is also used to compare how different demographics respond to certain variables. For example, an organization may study how people with different income levels react to the launch of a new Apple phone.

This kind of research may take a survey that will help determine which group of individuals are purchasing the new Apple phone. Do the low-income earners also purchase the phone, or only the high-income earners do?

Further research using another technique will explain why low-income earners are purchasing the phone even though they can barely afford it. This will help inform strategies that will lure other low-income earners and increase company sales.

Validate existing conditions

When you are not sure about the validity of an existing condition, you can use descriptive research to ascertain the underlying patterns of the research object. This is because descriptive research methods make an in-depth analysis of each variable before making conclusions.

Conducted Overtime

Descriptive research is conducted over some time to ascertain the changes observed at each point in time. The higher the number of times it is conducted, the more authentic the conclusion will be.

What are the Disadvantages of Descriptive Research?

Response and Non-response Bias

Respondents may either decide not to respond to questions or give incorrect responses if they feel the questions are too confidential. When researchers use observational methods, respondents may also decide to behave in a particular manner because they feel they are being watched.

The researcher may decide to influence the result of the research due to personal opinion or bias towards a particular subject. For example, a stockbroker who also has a business of his own may try to lure investors into investing in his own company by manipulating results.
A case-study or sample taken from a large population is not representative of the whole population.
Limited scope:The scope of descriptive research is limited to the what of research, with no information on why thereby limiting the scope of the research.

What are the Data Collection Methods in Descriptive Research?

There are 3 main data collection methods in descriptive research, namely; observational method, case study method, and survey research.

1. Observational Method

The observational method allows researchers to collect data based on their view of the behaviour and characteristics of the respondent, with the respondents themselves not directly having an input. It is often used in market research, psychology, and some other social science research to understand human behaviour.

It is also an important aspect of physical scientific research, with it being one of the most effective methods of conducting descriptive research . This process can be said to be either quantitative or qualitative.

Quantitative observation involved the objective collection of numerical data , whose results can be analyzed using numerical and statistical methods.

Qualitative observation, on the other hand, involves the monitoring of characteristics and not the measurement of numbers. The researcher makes his observation from a distance, records it, and is used to inform conclusions.

2. Case Study Method

A case study is a sample group (an individual, a group of people, organizations, events, etc.) whose characteristics are used to describe the characteristics of a larger group in which the case study is a subgroup. The information gathered from investigating a case study may be generalized to serve the larger group.

This generalization, may, however, be risky because case studies are not sufficient to make accurate predictions about larger groups. Case studies are a poor case of generalization.

3. Survey Research

This is a very popular data collection method in research designs. In survey research, researchers create a survey or questionnaire and distribute it to respondents who give answers.

Generally, it is used to obtain quick information directly from the primary source and also conducting rigorous quantitative and qualitative research. In some cases, survey research uses a blend of both qualitative and quantitative strategies.

Survey research can be carried out both online and offline using the following methods

Online Surveys: This is a cheap method of carrying out surveys and getting enough responses. It can be carried out using Formplus, an online survey builder. Formplus has amazing tools and features that will help increase response rates.
Offline Surveys: This includes paper forms, mobile offline forms , and SMS-based forms.

What Are The Differences Between Descriptive and Correlational Research?

Before going into the differences between descriptive and correlation research, we need to have a proper understanding of what correlation research is about. Therefore, we will be giving a summary of the correlation research below.

Correlational research is a type of descriptive research, which is used to measure the relationship between 2 variables, with the researcher having no control over them. It aims to find whether there is; positive correlation (both variables change in the same direction), negative correlation (the variables change in the opposite direction), or zero correlation (there is no relationship between the variables).

Correlational research may be used in 2 situations;

(i) when trying to find out if there is a relationship between two variables, and

(ii) when a causal relationship is suspected between two variables, but it is impractical or unethical to conduct experimental research that manipulates one of the variables.

Below are some of the differences between correlational and descriptive research:

Definitions :

Descriptive research aims is a type of research that provides an in-depth understanding of the study population, while correlational research is the type of research that measures the relationship between 2 variables.

Characteristics :

Descriptive research provides descriptive data explaining what the research subject is about, while correlation research explores the relationship between data and not their description.

Predictions :

Predictions cannot be made in descriptive research while correlation research accommodates the possibility of making predictions.

Descriptive Research vs. Causal Research

Descriptive research and causal research are both research methodologies, however, one focuses on a subject’s behaviors while the latter focuses on a relationship’s cause-and-effect. To buttress the above point, descriptive research aims to describe and document the characteristics, behaviors, or phenomena of a particular or specific population or situation.

It focuses on providing an accurate and detailed account of an already existing state of affairs between variables. Descriptive research answers the questions of “what,” “where,” “when,” and “how” without attempting to establish any causal relationships or explain any underlying factors that might have caused the behavior.

Causal research, on the other hand, seeks to determine cause-and-effect relationships between variables. It aims to point out the factors that influence or cause a particular result or behavior. Causal research involves manipulating variables, controlling conditions or a subgroup, and observing the resulting effects. The primary objective of causal research is to establish a cause-effect relationship and provide insights into why certain phenomena happen the way they do.

Descriptive Research vs. Analytical Research

Descriptive research provides a detailed and comprehensive account of a specific situation or phenomenon. It focuses on describing and summarizing data without making inferences or attempting to explain underlying factors or the cause of the factor.

It is primarily concerned with providing an accurate and objective representation of the subject of research. While analytical research goes beyond the description of the phenomena and seeks to analyze and interpret data to discover if there are patterns, relationships, or any underlying factors.

It examines the data critically, applies statistical techniques or other analytical methods, and draws conclusions based on the discovery. Analytical research also aims to explore the relationships between variables and understand the underlying mechanisms or processes involved.

Descriptive Research vs. Exploratory Research

Descriptive research is a research method that focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. This type of research describes the characteristics, behaviors, or relationships within the given context without looking for an underlying cause.

Descriptive research typically involves collecting and analyzing quantitative or qualitative data to generate descriptive statistics or narratives. Exploratory research differs from descriptive research because it aims to explore and gain firsthand insights or knowledge into a relatively unexplored or poorly understood topic.

It focuses on generating ideas, hypotheses, or theories rather than providing definitive answers. Exploratory research is often conducted at the early stages of a research project to gather preliminary information and identify key variables or factors for further investigation. It involves open-ended interviews, observations, or small-scale surveys to gather qualitative data.

Read More – Exploratory Research: What are its Method & Examples?

Descriptive Research vs. Experimental Research

Descriptive research aims to describe and document the characteristics, behaviors, or phenomena of a particular population or situation. It focuses on providing an accurate and detailed account of the existing state of affairs.

Descriptive research typically involves collecting data through surveys, observations, or existing records and analyzing the data to generate descriptive statistics or narratives. It does not involve manipulating variables or establishing cause-and-effect relationships.

Experimental research, on the other hand, involves manipulating variables and controlling conditions to investigate cause-and-effect relationships. It aims to establish causal relationships by introducing an intervention or treatment and observing the resulting effects.

Experimental research typically involves randomly assigning participants to different groups, such as control and experimental groups, and measuring the outcomes. It allows researchers to control for confounding variables and draw causal conclusions.

Related – Experimental vs Non-Experimental Research: 15 Key Differences

Descriptive Research vs. Explanatory Research

Descriptive research focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. It aims to describe the characteristics, behaviors, or relationships within the given context.

Descriptive research is primarily concerned with providing an objective representation of the subject of study without explaining underlying causes or mechanisms. Explanatory research seeks to explain the relationships between variables and uncover the underlying causes or mechanisms.

It goes beyond description and aims to understand the reasons or factors that influence a particular outcome or behavior. Explanatory research involves analyzing data, conducting statistical analyses, and developing theories or models to explain the observed relationships.

Descriptive Research vs. Inferential Research

Descriptive research focuses on describing and summarizing data without making inferences or generalizations beyond the specific sample or population being studied. It aims to provide an accurate and objective representation of the subject of study.

Descriptive research typically involves analyzing data to generate descriptive statistics, such as means, frequencies, or percentages, to describe the characteristics or behaviors observed.

Inferential research, however, involves making inferences or generalizations about a larger population based on a smaller sample.

It aims to draw conclusions about the population characteristics or relationships by analyzing the sample data. Inferential research uses statistical techniques to estimate population parameters, test hypotheses, and determine the level of confidence or significance in the findings.

Related – Inferential Statistics: Definition, Types + Examples

Conclusion

The uniqueness of descriptive research partly lies in its ability to explore both quantitative and qualitative research methods. Therefore, when conducting descriptive research, researchers have the opportunity to use a wide variety of techniques that aids the research process.

Descriptive research explores research problems in-depth, beyond the surface level thereby giving a detailed description of the research subject. That way, it can aid further research in the field, including other research methods .

It is also very useful in solving real-life problems in various fields of social science, physical science, and education.

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What is descriptive research?

Last updated

5 February 2023

Reviewed by

Cathy Heath

Descriptive research is a common investigatory model used by researchers in various fields, including social sciences, linguistics, and academia.

Read on to understand the characteristics of descriptive research and explore its underlying techniques, processes, and procedures.

Analyze your descriptive research

Dovetail streamlines analysis to help you uncover and share actionable insights

Descriptive research is an exploratory research method. It enables researchers to precisely and methodically describe a population, circumstance, or phenomenon.

As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses . This can be reported using surveys , observational studies, and case studies. You can use both quantitative and qualitative methods to compile the data.

Besides making observations and then comparing and analyzing them, descriptive studies often develop knowledge concepts and provide solutions to critical issues. It always aims to answer how the event occurred, when it occurred, where it occurred, and what the problem or phenomenon is.

Characteristics of descriptive research

The following are some of the characteristics of descriptive research:

Quantitativeness

Descriptive research can be quantitative as it gathers quantifiable data to statistically analyze a population sample. These numbers can show patterns, connections, and trends over time and can be discovered using surveys, polls, and experiments.

Qualitativeness

Descriptive research can also be qualitative. It gives meaning and context to the numbers supplied by quantitative descriptive research .

Researchers can use tools like interviews, focus groups, and ethnographic studies to illustrate why things are what they are and help characterize the research problem. This is because it’s more explanatory than exploratory or experimental research.

Uncontrolled variables

Descriptive research differs from experimental research in that researchers cannot manipulate the variables. They are recognized, scrutinized, and quantified instead. This is one of its most prominent features.

Cross-sectional studies

Descriptive research is a cross-sectional study because it examines several areas of the same group. It involves obtaining data on multiple variables at the personal level during a certain period. It’s helpful when trying to understand a larger community’s habits or preferences.

Carried out in a natural environment

Descriptive studies are usually carried out in the participants’ everyday environment, which allows researchers to avoid influencing responders by collecting data in a natural setting. You can use online surveys or survey questions to collect data or observe.

Basis for further research

You can further dissect descriptive research’s outcomes and use them for different types of investigation. The outcomes also serve as a foundation for subsequent investigations and can guide future studies. For example, you can use the data obtained in descriptive research to help determine future research designs.

Descriptive research methods

There are three basic approaches for gathering data in descriptive research: observational, case study, and survey.

You can use surveys to gather data in descriptive research. This involves gathering information from many people using a questionnaire and interview .

Surveys remain the dominant research tool for descriptive research design. Researchers can conduct various investigations and collect multiple types of data (quantitative and qualitative) using surveys with diverse designs.

You can conduct surveys over the phone, online, or in person. Your survey might be a brief interview or conversation with a set of prepared questions intended to obtain quick information from the primary source.

Observation

This descriptive research method involves observing and gathering data on a population or phenomena without manipulating variables. It is employed in psychology, market research , and other social science studies to track and understand human behavior.

Observation is an essential component of descriptive research. It entails gathering data and analyzing it to see whether there is a relationship between the two variables in the study. This strategy usually allows for both qualitative and quantitative data analysis.

Case studies

A case study can outline a specific topic’s traits. The topic might be a person, group, event, or organization.

It involves using a subset of a larger group as a sample to characterize the features of that larger group.

You can generalize knowledge gained from studying a case study to benefit a broader audience.

This approach entails carefully examining a particular group, person, or event over time. You can learn something new about the study topic by using a small group to better understand the dynamics of the entire group.

Types of descriptive research

There are several types of descriptive study. The most well-known include cross-sectional studies, census surveys, sample surveys, case reports, and comparison studies.

Case reports and case series

In the healthcare and medical fields, a case report is used to explain a patient’s circumstances when suffering from an uncommon illness or displaying certain symptoms. Case reports and case series are both collections of related cases. They have aided the advancement of medical knowledge on countless occasions.

The normative component is an addition to the descriptive survey. In the descriptive–normative survey, you compare the study’s results to the norm.

Descriptive survey

This descriptive type of research employs surveys to collect information on various topics. This data aims to determine the degree to which certain conditions may be attained.

You can extrapolate or generalize the information you obtain from sample surveys to the larger group being researched.

Correlative survey

Correlative surveys help establish if there is a positive, negative, or neutral connection between two variables.

Performing census surveys involves gathering relevant data on several aspects of a given population. These units include individuals, families, organizations, objects, characteristics, and properties.

During descriptive research, you gather different degrees of interest over time from a specific population. Cross-sectional studies provide a glimpse of a phenomenon’s prevalence and features in a population. There are no ethical challenges with them and they are quite simple and inexpensive to carry out.

Comparative studies

These surveys compare the two subjects’ conditions or characteristics. The subjects may include research variables, organizations, plans, and people.

Comparison points, assumption of similarities, and criteria of comparison are three important variables that affect how well and accurately comparative studies are conducted.

For instance, descriptive research can help determine how many CEOs hold a bachelor’s degree and what proportion of low-income households receive government help.

Pros and cons

The primary advantage of descriptive research designs is that researchers can create a reliable and beneficial database for additional study. To conduct any inquiry, you need access to reliable information sources that can give you a firm understanding of a situation.

Quantitative studies are time- and resource-intensive, so knowing the hypotheses viable for testing is crucial. The basic overview of descriptive research provides helpful hints as to which variables are worth quantitatively examining. This is why it’s employed as a precursor to quantitative research designs.

Some experts view this research as untrustworthy and unscientific. However, there is no way to assess the findings because you don’t manipulate any variables statistically.

Cause-and-effect correlations also can’t be established through descriptive investigations. Additionally, observational study findings cannot be replicated, which prevents a review of the findings and their replication.

The absence of statistical and in-depth analysis and the rather superficial character of the investigative procedure are drawbacks of this research approach.

Descriptive research examples and applications

Several descriptive research examples are emphasized based on their types, purposes, and applications. Research questions often begin with “What is …” These studies help find solutions to practical issues in social science, physical science, and education.

Here are some examples and applications of descriptive research:

Determining consumer perception and behavior

Organizations use descriptive research designs to determine how various demographic groups react to a certain product or service.

For example, a business looking to sell to its target market should research the market’s behavior first. When researching human behavior in response to a cause or event, the researcher pays attention to the traits, actions, and responses before drawing a conclusion.

Scientific classification

Scientific descriptive research enables the classification of organisms and their traits and constituents.

Measuring data trends

A descriptive study design’s statistical capabilities allow researchers to track data trends over time. It’s frequently used to determine the study target’s current circumstances and underlying patterns.

Conduct comparison

Organizations can use a descriptive research approach to learn how various demographics react to a certain product or service. For example, you can study how the target market responds to a competitor’s product and use that information to infer their behavior.

Bottom line

A descriptive research design is suitable for exploring certain topics and serving as a prelude to larger quantitative investigations. It provides a comprehensive understanding of the “what” of the group or thing you’re investigating.

This research type acts as the cornerstone of other research methodologies . It is distinctive because it can use quantitative and qualitative research approaches at the same time.

What is descriptive research design?

Descriptive research design aims to systematically obtain information to describe a phenomenon, situation, or population. More specifically, it helps answer the what, when, where, and how questions regarding the research problem rather than the why.

How does descriptive research compare to qualitative research?

Despite certain parallels, descriptive research concentrates on describing phenomena, while qualitative research aims to understand people better.

How do you analyze descriptive research data?

Data analysis involves using various methodologies, enabling the researcher to evaluate and provide results regarding validity and reliability.

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Child Care and Early Education Research Connections

Descriptive research studies.

Descriptive research is a type of research that is used to describe the characteristics of a population. It collects data that are used to answer a wide range of what, when, and how questions pertaining to a particular population or group. For example, descriptive studies might be used to answer questions such as: What percentage of Head Start teachers have a bachelor's degree or higher? What is the average reading ability of 5-year-olds when they first enter kindergarten? What kinds of math activities are used in early childhood programs? When do children first receive regular child care from someone other than their parents? When are children with developmental disabilities first diagnosed and when do they first receive services? What factors do programs consider when making decisions about the type of assessments that will be used to assess the skills of the children in their programs? How do the types of services children receive from their early childhood program change as children age?

Descriptive research does not answer questions about why a certain phenomenon occurs or what the causes are. Answers to such questions are best obtained from randomized and quasi-experimental studies . However, data from descriptive studies can be used to examine the relationships (correlations) among variables. While the findings from correlational analyses are not evidence of causality, they can help to distinguish variables that may be important in explaining a phenomenon from those that are not. Thus, descriptive research is often used to generate hypotheses that should be tested using more rigorous designs.

A variety of data collection methods may be used alone or in combination to answer the types of questions guiding descriptive research. Some of the more common methods include surveys, interviews, observations, case studies, and portfolios. The data collected through these methods can be either quantitative or qualitative. Quantitative data are typically analyzed and presenting using descriptive statistics . Using quantitative data, researchers may describe the characteristics of a sample or population in terms of percentages (e.g., percentage of population that belong to different racial/ethnic groups, percentage of low-income families that receive different government services) or averages (e.g., average household income, average scores of reading, mathematics and language assessments). Quantitative data, such as narrative data collected as part of a case study, may be used to organize, classify, and used to identify patterns of behaviors, attitudes, and other characteristics of groups.

Descriptive studies have an important role in early care and education research. Studies such as the National Survey of Early Care and Education and the National Household Education Surveys Program have greatly increased our knowledge of the supply of and demand for child care in the U.S. The Head Start Family and Child Experiences Survey and the Early Childhood Longitudinal Study Program have provided researchers, policy makers and practitioners with rich information about school readiness skills of children in the U.S.

Each of the methods used to collect descriptive data have their own strengths and limitations. The following are some of the strengths and limitations of descriptive research studies in general.

Study participants are questioned or observed in a natural setting (e.g., their homes, child care or educational settings).

Study data can be used to identify the prevalence of particular problems and the need for new or additional services to address these problems.

Descriptive research may identify areas in need of additional research and relationships between variables that require future study. Descriptive research is often referred to as "hypothesis generating research."

Depending on the data collection method used, descriptive studies can generate rich datasets on large and diverse samples.

Limitations:

Descriptive studies cannot be used to establish cause and effect relationships.

Respondents may not be truthful when answering survey questions or may give socially desirable responses.

The choice and wording of questions on a questionnaire may influence the descriptive findings.

Depending on the type and size of sample, the findings may not be generalizable or produce an accurate description of the population of interest.

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80+ Great Research Titles Examples in Various Academic Fields

Coming up with a research title for an academic paper is one of the most challenging parts of the writing process. Even though there is an unlimited quantity of research titles to write about, knowing which one is best for you can be hard. We have done the research for you and compiled eighty examples of research titles to write on. Additionally, we have divided the research titles examples into sections to make them easier to choose.

Research Study Examples of Current Events

Examples of research topics on ethics, title of research study examples on health, research paper title examples on social concerns, examples of research title on art and culture, example of research interest in religion, samples of research study topics on technology, research examples of environmental studies, good research title examples on history, specific topic examples regarding education, research title examples for students on family, food, and nutrition, research problems examples computer science, samples of research title about business marketing and communications, sample of research study topics in women’s studies, research problem example on politics, what are some examples of research paper topics on law, final words about research titles.

When it comes to choosing a good sample research title, research is one of the best tips you can get. By reading widely, including your school notes and scholarly articles, you will have a problem/line of interest examples in research. Then, you can derive any question from areas that appear to have a knowledge gap and proceed with researching the answer. As promised, below are eighty research title examples categorized into different areas, including social media research topics .

Discuss the peculiar policies of a named country – for example, discuss the impacts of the one-child policy of China.
Research on the influence of a named political leader, say a president, on the country they governed and other countries around. For instance, you can talk about how Trump’s presidency has changed international relations.
Conduct an analysis of a particular aspect of two named countries – for example, the history of the relationship between the U.S. and North Korea.
Compare the immigration laws in two or more named countries – for example, discuss how the immigration laws in the U.S. compares with other countries.
Discuss how the Black Lives Matter movement has affected the view and discussions about racism in the United States.
Enumerate the different ways the government of the United States can reduce deaths arising from the unregulated use of guns.
Analyze the place of ethics in medicine or of medical practitioners. For instance, you can discuss the prevalence of physician-assisted suicides in a named country. You may also talk about the ethicality of such a practice and whether it should be legal.
Explain how recent research breakthroughs have affected that particular field – for instance, how stem cell research has impacted the medical field.
Explain if and why people should be able to donate organs in exchange for money.
Discuss ethical behaviors in the workplace and (or) the educational sector. For example, talk about whether or not affirmative action is still important or necessary in education or the workplace.
Weigh the benefits and risks of vaccinating children and decide which one outweighs the other. Here, you might want to consider the different types of vaccinations and the nature and frequency of associated complications.
Investigate at least one of the health issues that currently pose a threat to humanity and which are under investigation. These issues can include Alzheimer’s, cancer, depression, autism, and HIV/AIDS. Research how these issues affect individuals and society and recommend solutions to alleviate cost and suffering.
Study some individuals suffering from and under treatment for depression. Then, investigate the common predictors of the disease and how this information can help prevent the issue.

Tip : To make this example of a research title more comprehensive, you can focus on a certain age range – say, teenagers.

Discuss whether or not free healthcare and medication should be available to people and the likely implications.
Identify and elucidate different methods or programs that have been most effective in preventing or reducing teen pregnancy.
Analyze different reasons and circumstances for genetic manipulation and the different perspectives of people on this matter. Then, discuss whether or not parents should be allowed to engineer designer babies.
Identify the types of immigration benefits, including financial, medical, and education, your country provides for refugees and immigrants. Then, discuss how these benefits have helped them in settling down and whether more or less should be provided.
Discuss the acceptance rate of the gay community in your country or a specific community. For example, consider whether or not gay marriage is permitted if they can adopt children, and if they are welcome in religious gatherings.
Explore and discuss if terrorism truly creates a fear culture that can become a society’s unintended terrorist.
Consider and discuss the different techniques one can use to identify pedophiles on social media.

Tip : Social issues research topics are interesting, but ensure you write formally and professionally.

Investigate the importance or lack of importance of art in primary or secondary education. You can also recommend whether or not it should be included in the curriculum and why.

Tip : You can write on this possible research title based on your experiences, whether positive or negative.

Discuss the role of illustration in children’s books and how it facilitates easy understanding in children. You may focus on one particular book or select a few examples and compare and contrast.
Should the use of art in books for adults be considered, and what are the likely benefits?
Compare and contrast the differences in art from two named cultural Renaissance – for instance, the Northern Renaissance and the Italian Renaissance.
Investigate how sexism is portrayed in different types of media, including video games, music, and film. You can also talk about whether or not the amount of sexism portrayed has reduced or increased over the years.
Explore different perspectives and views on dreams; are they meaningful or simply a game of the sleeping mind? You can also discuss the functions and causes of dreams, like sleeping with anxiety, eating before bed, and prophecies.
Investigate the main reasons why religious cults are powerful and appealing to the masses, referring to individual cases.
Investigate the impact of religion on the crime rate in a particular region.

Tip : Narrow down this research title by choosing to focus on a particular age group, say children or teenagers, or family. Alternatively, you can focus on a particular crime in the research to make the paper more extensive.

Explore reasons why Martin Luther decided to split with the Catholic church.
Discuss the circumstances in Siddhartha’s life that led to him becoming the Buddha.

Tip : It is important to remove sentiments from your research and base your points instead on clear evidence from a sound study. This ensures your title of research does not lead to unsubstantiated value judgments, which reduces the quality of the paper.

Discuss how the steel sword, gunpowder, biological warfare, longbow, or atomic bomb has changed the nature of warfare.

Tip : For this example of the research problem, choose only one of these technological developments or compare two or more to have a rich research paper.

Explore the changes computers, tablets, and smartphones have brought to human behaviors and culture, using published information and personal experience.

Tip : Approach each research study example in a research paper context or buy research paper online , giving a formal but objective view of the subject.

Are railroads and trains primary forces in the industrialization, exploitation, and settlement of your homeland or continent?
Discuss how the use of fossil fuels has changed or shaped the world.

Tip : Narrow down this title of the research study to focus on a local or particular area or one effect of fossil fuels, like oil spill pollution.

Discuss what progress countries have made with artificial intelligence. You can focus on one named country or compare the progress of one country with another.
Investigate the factual status of global warming – that is, is it a reality or a hoax? If it is a reality, explore the primary causes and how humanity can make a difference.
Conduct in-depth research on endangered wildlife species in your community and discuss why they have become endangered. You can also enumerate what steps the community can take to prevent these species from going extinct and increase their chances of survival.
Investigate the environmental soundness of the power sources in your country or community. Then, recommend alternative energy sources that might be best suited for the area and why.
Consider an area close to wildlife reserves and national parks, and see whether oil and mineral exploration has occurred there. Discuss whether this action should be allowed or not, with fact-backed reasons.
Investigate how the use and abolishment of DDT have affected the population of birds in your country.

Tip : Each example research title requires that you consult authoritative scientific reports to improve the quality of your paper. Furthermore, specificity and preciseness are required in each example of research title and problem, which only an authority source can provide.

Discuss the importance of a major historical event and why it was so important in the day. These events can include the assassination of John F. Kennedy or some revolutionary document like the Magna Carta.
Consider voyagers such as the Vikings, Chinese, as well as native populations and investigate whether Columbus discovered America first.
Choose a named historical group, family, or individual through their biographies, examining them for reader responses.
Research people of different cultural orientations and their responses to the acts of others who live around them.
Investigate natural disasters in a named country and how the government has responded to them. For example, explore how the response of the New Orleans government to natural disasters has changed since Hurricane Katrina.

Tip : Focus this research title sample on one particular country or natural disaster or compare the responses of two countries with each other.

Explore the educational policy, “no child left behind,” investigating its benefits and drawbacks.
Investigate the concept of plagiarism in the twenty-first century, its consequences, and its prevalence in modern universities. Take a step further to investigate how and why many students don’t understand the gravity of their errors.
Do in-depth research on bullying in schools, explaining the seriousness of the problem in your area in particular. Also, recommend actions schools, teachers, and parents can take to improve the situation if anything.
Explore the place of religion in public schools; if it has a place, explain why, and if it does not, explain why not.
Does a student’s financial background have any effect on his or her academic performance? In this sample research title, you can compare students from different financial backgrounds, from wealthy to average, and their scores on standardized tests.
Is spanking one’s child considered child abuse; if so, why? In this research problem example for students, consider whether or not parents should be able to spank their children.
Investigate the relationship between family health and nutrition, focusing on particular nutrition. This example of the title of the research study, for instance, can focus on the relationship between breastfeeding and baby health.
Elucidate on, if any, the benefits of having a home-cooked meal and sitting down as a family to eat together.
Explore the effect of fast-food restaurants on family health and nutrition, and whether or not they should be regulated.
Research local food producers and farms in your community, pinpointing how much of your diet is acquired from them.

Tip : These are great research titles from which you can coin research topics for STEM students .

Compare and contrast the two major operating systems: Mac and Windows, and discuss which one is better.

Tip : This title of the research study example can lead to strong uninformed opinions on the matter. However, it is important to investigate and discuss facts about the two operating systems, basing your conclusions on these.

Explain the effect of spell checkers, autocorrect functions, and grammar checkers on the writing skills of computer users. Have these tools improved users’ writing skills or weakened them?

Tip : For this example of title research, it is better to consider more than one of these tools to write a comprehensive paper.

Discuss the role(s) artificial intelligence is playing now or will likely play in the future as regards human evolution.
Identify and investigate the next groundbreaking development in computer science (like the metaverse), explaining why you believe it will be important.
Discuss a particular trendsetting technological tool, like blockchain technology, and how it has benefited different sectors.

Tip : For this research title example, you may want to focus on the effect of one tool on one particular sector. This way, you can investigate this example of research and thesis statement about social media more thoroughly and give as many details as possible.

Consider your personal experiences as well as close friends’ and families experiences. Then, determine how marketing has invaded your lives and whether these impersonal communications are more positive than negative or vice versa.
Investigate the regulations (or lack thereof) that apply to marketing items to children in your region. Do you think these regulations are unfounded, right, or inadequate?
Investigate the merits and demerits of outsourcing customer services; you can compare the views of businesses with those of their customers.
How has the communication we do through blog sites, messaging, social media, email, and other online platforms improved interpersonal communications if it has?
Can understanding culture change the way you do business? Discuss how.

Tip : Ensure you share your reasoning on this title of the research study example and provide evidence-backed information to support your points.

Learn everything you can about eating disorders like bulimia and anorexia, as well as their causes, and symptoms. Then, investigate and discuss the impact of its significance and recommend actions that might improve the situation.
Research a major development in women’s history, like the admission of women to higher institutions and the legalization of abortion. Discuss the short-term and (or) long-term implications of the named event or development.
Discuss gender inequality in the workplace – for instance, the fact that women tend to earn less than men for doing the same job. Provide specific real-life examples as you explain the reasons for this and recommend solutions to the problem.
How have beauty contests helped women: have they empowered them in society or objectified them?

Tip : You may shift the focus of this topic research example to female strippers or women who act in pornographic movies.

Investigate exceptional businesswomen in the 21st century; you can focus on one or compare two or more.

Tip : When writing on the title of a research example related to women, avoid using persuasion tactics; instead, be tactful and professional in presenting your points.

Discuss the unique nature and implications of Donald Trump’s presidency on the United States and the world.
Investigate the conditions and forces related to the advent and rise of Nazi Germany. Shift the focus of this title research example on major wars like WWI or the American Civil War.
Is the enormous amount of money spent during election campaigns a legitimate expense?
Investigate a named major political scandal that recently occurred in your region or country. Discuss how it started, how its news spread, and its impacts on individuals in that area.
Discuss the impacts British rule had on India.
Investigate the rate of incarceration in your region and compare it with that of other countries or other regions.
Is incarcerating criminals an effective solution in promoting the rehabilitation of criminals and controlling crime rates?
Consider various perspectives on the issue of gun control and coin several argumentative essay topics on the matter.
Why do drivers continue to text while driving despite legal implications and dire consequences?
Discuss the legality of people taking their own lives due to suffering from a debilitating terminal disease.

Each example of the research title provided in this article will make for a rich, information-dense research paper. However, you have a part to play in researching thoroughly on the example of the research study. To simplify the entire process for you, hiring our writing services is key as you wouldn’t have to worry about choosing topics. Our team of skilled writers knows the right subject that suits your research and how to readily get materials on them.

500+ Quantitative Research Titles and Topics

Table of Contents

Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology , economics , and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas to explore, from analyzing data on a specific population to studying the effects of a particular intervention or treatment. In this post, we will provide some ideas for quantitative research topics that may inspire you and help you narrow down your interests.

Quantitative Research Titles

Quantitative Research Titles are as follows:

Business and Economics

“Statistical Analysis of Supply Chain Disruptions on Retail Sales”
“Quantitative Examination of Consumer Loyalty Programs in the Fast Food Industry”
“Predicting Stock Market Trends Using Machine Learning Algorithms”
“Influence of Workplace Environment on Employee Productivity: A Quantitative Study”
“Impact of Economic Policies on Small Businesses: A Regression Analysis”
“Customer Satisfaction and Profit Margins: A Quantitative Correlation Study”
“Analyzing the Role of Marketing in Brand Recognition: A Statistical Overview”
“Quantitative Effects of Corporate Social Responsibility on Consumer Trust”
“Price Elasticity of Demand for Luxury Goods: A Case Study”
“The Relationship Between Fiscal Policy and Inflation Rates: A Time-Series Analysis”
“Factors Influencing E-commerce Conversion Rates: A Quantitative Exploration”
“Examining the Correlation Between Interest Rates and Consumer Spending”
“Standardized Testing and Academic Performance: A Quantitative Evaluation”
“Teaching Strategies and Student Learning Outcomes in Secondary Schools: A Quantitative Study”
“The Relationship Between Extracurricular Activities and Academic Success”
“Influence of Parental Involvement on Children’s Educational Achievements”
“Digital Literacy in Primary Schools: A Quantitative Assessment”
“Learning Outcomes in Blended vs. Traditional Classrooms: A Comparative Analysis”
“Correlation Between Teacher Experience and Student Success Rates”
“Analyzing the Impact of Classroom Technology on Reading Comprehension”
“Gender Differences in STEM Fields: A Quantitative Analysis of Enrollment Data”
“The Relationship Between Homework Load and Academic Burnout”
“Assessment of Special Education Programs in Public Schools”
“Role of Peer Tutoring in Improving Academic Performance: A Quantitative Study”

Medicine and Health Sciences

“The Impact of Sleep Duration on Cardiovascular Health: A Cross-sectional Study”
“Analyzing the Efficacy of Various Antidepressants: A Meta-Analysis”
“Patient Satisfaction in Telehealth Services: A Quantitative Assessment”
“Dietary Habits and Incidence of Heart Disease: A Quantitative Review”
“Correlations Between Stress Levels and Immune System Functioning”
“Smoking and Lung Function: A Quantitative Analysis”
“Influence of Physical Activity on Mental Health in Older Adults”
“Antibiotic Resistance Patterns in Community Hospitals: A Quantitative Study”
“The Efficacy of Vaccination Programs in Controlling Disease Spread: A Time-Series Analysis”
“Role of Social Determinants in Health Outcomes: A Quantitative Exploration”
“Impact of Hospital Design on Patient Recovery Rates”
“Quantitative Analysis of Dietary Choices and Obesity Rates in Children”

Social Sciences

“Examining Social Inequality through Wage Distribution: A Quantitative Study”
“Impact of Parental Divorce on Child Development: A Longitudinal Study”
“Social Media and its Effect on Political Polarization: A Quantitative Analysis”
“The Relationship Between Religion and Social Attitudes: A Statistical Overview”
“Influence of Socioeconomic Status on Educational Achievement”
“Quantifying the Effects of Community Programs on Crime Reduction”
“Public Opinion and Immigration Policies: A Quantitative Exploration”
“Analyzing the Gender Representation in Political Offices: A Quantitative Study”
“Impact of Mass Media on Public Opinion: A Regression Analysis”
“Influence of Urban Design on Social Interactions in Communities”
“The Role of Social Support in Mental Health Outcomes: A Quantitative Analysis”
“Examining the Relationship Between Substance Abuse and Employment Status”

Engineering and Technology

“Performance Evaluation of Different Machine Learning Algorithms in Autonomous Vehicles”
“Material Science: A Quantitative Analysis of Stress-Strain Properties in Various Alloys”
“Impacts of Data Center Cooling Solutions on Energy Consumption”
“Analyzing the Reliability of Renewable Energy Sources in Grid Management”
“Optimization of 5G Network Performance: A Quantitative Assessment”
“Quantifying the Effects of Aerodynamics on Fuel Efficiency in Commercial Airplanes”
“The Relationship Between Software Complexity and Bug Frequency”
“Machine Learning in Predictive Maintenance: A Quantitative Analysis”
“Wearable Technologies and their Impact on Healthcare Monitoring”
“Quantitative Assessment of Cybersecurity Measures in Financial Institutions”
“Analysis of Noise Pollution from Urban Transportation Systems”
“The Influence of Architectural Design on Energy Efficiency in Buildings”

Quantitative Research Topics

Quantitative Research Topics are as follows:

The effects of social media on self-esteem among teenagers.
A comparative study of academic achievement among students of single-sex and co-educational schools.
The impact of gender on leadership styles in the workplace.
The correlation between parental involvement and academic performance of students.
The effect of mindfulness meditation on stress levels in college students.
The relationship between employee motivation and job satisfaction.
The effectiveness of online learning compared to traditional classroom learning.
The correlation between sleep duration and academic performance among college students.
The impact of exercise on mental health among adults.
The relationship between social support and psychological well-being among cancer patients.
The effect of caffeine consumption on sleep quality.
A comparative study of the effectiveness of cognitive-behavioral therapy and pharmacotherapy in treating depression.
The relationship between physical attractiveness and job opportunities.
The correlation between smartphone addiction and academic performance among high school students.
The impact of music on memory recall among adults.
The effectiveness of parental control software in limiting children’s online activity.
The relationship between social media use and body image dissatisfaction among young adults.
The correlation between academic achievement and parental involvement among minority students.
The impact of early childhood education on academic performance in later years.
The effectiveness of employee training and development programs in improving organizational performance.
The relationship between socioeconomic status and access to healthcare services.
The correlation between social support and academic achievement among college students.
The impact of technology on communication skills among children.
The effectiveness of mindfulness-based stress reduction programs in reducing symptoms of anxiety and depression.
The relationship between employee turnover and organizational culture.
The correlation between job satisfaction and employee engagement.
The impact of video game violence on aggressive behavior among children.
The effectiveness of nutritional education in promoting healthy eating habits among adolescents.
The relationship between bullying and academic performance among middle school students.
The correlation between teacher expectations and student achievement.
The impact of gender stereotypes on career choices among high school students.
The effectiveness of anger management programs in reducing violent behavior.
The relationship between social support and recovery from substance abuse.
The correlation between parent-child communication and adolescent drug use.
The impact of technology on family relationships.
The effectiveness of smoking cessation programs in promoting long-term abstinence.
The relationship between personality traits and academic achievement.
The correlation between stress and job performance among healthcare professionals.
The impact of online privacy concerns on social media use.
The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
The relationship between teacher feedback and student motivation.
The correlation between physical activity and academic performance among elementary school students.
The impact of parental divorce on academic achievement among children.
The effectiveness of diversity training in improving workplace relationships.
The relationship between childhood trauma and adult mental health.
The correlation between parental involvement and substance abuse among adolescents.
The impact of social media use on romantic relationships among young adults.
The effectiveness of assertiveness training in improving communication skills.
The relationship between parental expectations and academic achievement among high school students.
The correlation between sleep quality and mood among adults.
The impact of video game addiction on academic performance among college students.
The effectiveness of group therapy in treating eating disorders.
The relationship between job stress and job performance among teachers.
The correlation between mindfulness and emotional regulation.
The impact of social media use on self-esteem among college students.
The effectiveness of parent-teacher communication in promoting academic achievement among elementary school students.
The impact of renewable energy policies on carbon emissions
The relationship between employee motivation and job performance
The effectiveness of psychotherapy in treating eating disorders
The correlation between physical activity and cognitive function in older adults
The effect of childhood poverty on adult health outcomes
The impact of urbanization on biodiversity conservation
The relationship between work-life balance and employee job satisfaction
The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating trauma
The correlation between parenting styles and child behavior
The effect of social media on political polarization
The impact of foreign aid on economic development
The relationship between workplace diversity and organizational performance
The effectiveness of dialectical behavior therapy in treating borderline personality disorder
The correlation between childhood abuse and adult mental health outcomes
The effect of sleep deprivation on cognitive function
The impact of trade policies on international trade and economic growth
The relationship between employee engagement and organizational commitment
The effectiveness of cognitive therapy in treating postpartum depression
The correlation between family meals and child obesity rates
The effect of parental involvement in sports on child athletic performance
The impact of social entrepreneurship on sustainable development
The relationship between emotional labor and job burnout
The effectiveness of art therapy in treating dementia
The correlation between social media use and academic procrastination
The effect of poverty on childhood educational attainment
The impact of urban green spaces on mental health
The relationship between job insecurity and employee well-being
The effectiveness of virtual reality exposure therapy in treating anxiety disorders
The correlation between childhood trauma and substance abuse
The effect of screen time on children’s social skills
The impact of trade unions on employee job satisfaction
The relationship between cultural intelligence and cross-cultural communication
The effectiveness of acceptance and commitment therapy in treating chronic pain
The correlation between childhood obesity and adult health outcomes
The effect of gender diversity on corporate performance
The impact of environmental regulations on industry competitiveness.
The impact of renewable energy policies on greenhouse gas emissions
The relationship between workplace diversity and team performance
The effectiveness of group therapy in treating substance abuse
The correlation between parental involvement and social skills in early childhood
The effect of technology use on sleep patterns
The impact of government regulations on small business growth
The relationship between job satisfaction and employee turnover
The effectiveness of virtual reality therapy in treating anxiety disorders
The correlation between parental involvement and academic motivation in adolescents
The effect of social media on political engagement
The impact of urbanization on mental health
The relationship between corporate social responsibility and consumer trust
The correlation between early childhood education and social-emotional development
The effect of screen time on cognitive development in young children
The impact of trade policies on global economic growth
The relationship between workplace diversity and innovation
The effectiveness of family therapy in treating eating disorders
The correlation between parental involvement and college persistence
The effect of social media on body image and self-esteem
The impact of environmental regulations on business competitiveness
The relationship between job autonomy and job satisfaction
The effectiveness of virtual reality therapy in treating phobias
The correlation between parental involvement and academic achievement in college
The effect of social media on sleep quality
The impact of immigration policies on social integration
The relationship between workplace diversity and employee well-being
The effectiveness of psychodynamic therapy in treating personality disorders
The correlation between early childhood education and executive function skills
The effect of parental involvement on STEM education outcomes
The impact of trade policies on domestic employment rates
The relationship between job insecurity and mental health
The effectiveness of exposure therapy in treating PTSD
The correlation between parental involvement and social mobility
The effect of social media on intergroup relations
The impact of urbanization on air pollution and respiratory health.
The relationship between emotional intelligence and leadership effectiveness
The effectiveness of cognitive-behavioral therapy in treating depression
The correlation between early childhood education and language development
The effect of parental involvement on academic achievement in STEM fields
The impact of trade policies on income inequality
The relationship between workplace diversity and customer satisfaction
The effectiveness of mindfulness-based therapy in treating anxiety disorders
The correlation between parental involvement and civic engagement in adolescents
The effect of social media on mental health among teenagers
The impact of public transportation policies on traffic congestion
The relationship between job stress and job performance
The effectiveness of group therapy in treating depression
The correlation between early childhood education and cognitive development
The effect of parental involvement on academic motivation in college
The impact of environmental regulations on energy consumption
The relationship between workplace diversity and employee engagement
The effectiveness of art therapy in treating PTSD
The correlation between parental involvement and academic success in vocational education
The effect of social media on academic achievement in college
The impact of tax policies on economic growth
The relationship between job flexibility and work-life balance
The effectiveness of acceptance and commitment therapy in treating anxiety disorders
The correlation between early childhood education and social competence
The effect of parental involvement on career readiness in high school
The impact of immigration policies on crime rates
The relationship between workplace diversity and employee retention
The effectiveness of play therapy in treating trauma
The correlation between parental involvement and academic success in online learning
The effect of social media on body dissatisfaction among women
The impact of urbanization on public health infrastructure
The relationship between job satisfaction and job performance
The effectiveness of eye movement desensitization and reprocessing therapy in treating PTSD
The correlation between early childhood education and social skills in adolescence
The effect of parental involvement on academic achievement in the arts
The impact of trade policies on foreign investment
The relationship between workplace diversity and decision-making
The effectiveness of exposure and response prevention therapy in treating OCD
The correlation between parental involvement and academic success in special education
The impact of zoning laws on affordable housing
The relationship between job design and employee motivation
The effectiveness of cognitive rehabilitation therapy in treating traumatic brain injury
The correlation between early childhood education and social-emotional learning
The effect of parental involvement on academic achievement in foreign language learning
The impact of trade policies on the environment
The relationship between workplace diversity and creativity
The effectiveness of emotion-focused therapy in treating relationship problems
The correlation between parental involvement and academic success in music education
The effect of social media on interpersonal communication skills
The impact of public health campaigns on health behaviors
The relationship between job resources and job stress
The effectiveness of equine therapy in treating substance abuse
The correlation between early childhood education and self-regulation
The effect of parental involvement on academic achievement in physical education
The impact of immigration policies on cultural assimilation
The relationship between workplace diversity and conflict resolution
The effectiveness of schema therapy in treating personality disorders
The correlation between parental involvement and academic success in career and technical education
The effect of social media on trust in government institutions
The impact of urbanization on public transportation systems
The relationship between job demands and job stress
The correlation between early childhood education and executive functioning
The effect of parental involvement on academic achievement in computer science
The effectiveness of cognitive processing therapy in treating PTSD
The correlation between parental involvement and academic success in homeschooling
The effect of social media on cyberbullying behavior
The impact of urbanization on air quality
The effectiveness of dance therapy in treating anxiety disorders
The correlation between early childhood education and math achievement
The effect of parental involvement on academic achievement in health education
The impact of global warming on agriculture
The effectiveness of narrative therapy in treating depression
The correlation between parental involvement and academic success in character education
The effect of social media on political participation
The impact of technology on job displacement
The relationship between job resources and job satisfaction
The effectiveness of art therapy in treating addiction
The correlation between early childhood education and reading comprehension
The effect of parental involvement on academic achievement in environmental education
The impact of income inequality on social mobility
The relationship between workplace diversity and organizational culture
The effectiveness of solution-focused brief therapy in treating anxiety disorders
The correlation between parental involvement and academic success in physical therapy education
The effect of social media on misinformation
The impact of green energy policies on economic growth
The relationship between job demands and employee well-being
The correlation between early childhood education and science achievement
The effect of parental involvement on academic achievement in religious education
The impact of gender diversity on corporate governance
The relationship between workplace diversity and ethical decision-making
The correlation between parental involvement and academic success in dental hygiene education
The effect of social media on self-esteem among adolescents
The impact of renewable energy policies on energy security
The effect of parental involvement on academic achievement in social studies
The impact of trade policies on job growth
The relationship between workplace diversity and leadership styles
The correlation between parental involvement and academic success in online vocational training
The effect of social media on self-esteem among men
The impact of urbanization on air pollution levels
The effectiveness of music therapy in treating depression
The correlation between early childhood education and math skills
The effect of parental involvement on academic achievement in language arts
The impact of immigration policies on labor market outcomes
The effectiveness of hypnotherapy in treating phobias
The effect of social media on political engagement among young adults
The impact of urbanization on access to green spaces
The relationship between job crafting and job satisfaction
The effectiveness of exposure therapy in treating specific phobias
The correlation between early childhood education and spatial reasoning
The effect of parental involvement on academic achievement in business education
The impact of trade policies on economic inequality
The effectiveness of narrative therapy in treating PTSD
The correlation between parental involvement and academic success in nursing education
The effect of social media on sleep quality among adolescents
The impact of urbanization on crime rates
The relationship between job insecurity and turnover intentions
The effectiveness of pet therapy in treating anxiety disorders
The correlation between early childhood education and STEM skills
The effect of parental involvement on academic achievement in culinary education
The impact of immigration policies on housing affordability
The relationship between workplace diversity and employee satisfaction
The effectiveness of mindfulness-based stress reduction in treating chronic pain
The correlation between parental involvement and academic success in art education
The effect of social media on academic procrastination among college students
The impact of urbanization on public safety services.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

200+ Funny Research Topics

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Descriptive Research Examples
Descriptive Research
(PDF) A descriptive study of inaccuracy in article titles on
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Descriptive Research Methodology Examples / Chapter 3 Research Design

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PhD Thesis Defense. Konstantin Makarenko
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Effective ways of writing Thesis / Research Article
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COMMENTS

Thesis Title: Examples and Suggestions from a PhD Grad
Master's thesis title examples. Creation of an autonomous impulse response measurement system for rooms and transducers with different methods. Guy-Bart Stan, 2000 - Bioengineering - Imperial Professor - direct link to Guy-Bart's bioengineering academic CV. Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters.
18 Descriptive Research Examples (2024)
Benefits of Descriptive Research: Limitations of Descriptive Research: Rich Data: Provides a comprehensive and detailed profile of the subject or issue through rich data, offering a thorough understanding (Gresham, 2016). Lack of Control: Cannot control variables or external factors, potentially influencing the accuracy and reliability of the data. Basis for Further Research: Helps to identify ...
Sample Thesis Titles
Sample Thesis Titles. Completing a thesis is the capstone experience of the QMSS program. Students take this opportunity to apply the tools and methodologies developed through their coursework to questions of particular interest to them. The list of theses below demonstrates the broad array of substantive subject areas to which our graduates ...
Research Paper Title
Research Paper Title. Research Paper Title is the name or heading that summarizes the main theme or topic of a research paper.It serves as the first point of contact between the reader and the paper, providing an initial impression of the content, purpose, and scope of the research.A well-crafted research paper title should be concise, informative, and engaging, accurately reflecting the key ...
The different types of titles with examples
The different types of titles with examples. 1. Noun phrases that describe the topic of study. Also known as descriptive or neutral, this is by far the most common type of title, especially in scientific research. Typically, a noun phrase is used to convey what the study is, without revealing its findings. It can be an effective way to cram all ...
Descriptive Research
Revised on June 22, 2023. Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what, where, when and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables.
Qualitative Description as an Introductory Method to Qualitative
Thesis title Research Question(s) Adams (2015) ... • Helps researchers decide what a reasonable sample size is when applying qualitative interviews as a method of data collection • Provides rationale as to when and why a researcher ... A qualitative descriptive research study [Master's thesis]. University of Ottawa. https://hdl.handle.net ...
How to write good research paper titles
The following steps will help you design your document title. 1. Read the Instructions to Authors. Once you have selected a journal, review the types of titles recently published and read the Instructions to Authors to learn what the journal requires for paper titles. Instructions regarding titles are often brief.
Descriptive Research Design
Revised on 10 October 2022. Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what, where, when, and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables.
What Is a Thesis?
A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master's program or a capstone to a bachelor's degree. Writing a thesis can be a daunting experience. Other than a dissertation, it is one of the longest pieces of writing students typically complete.
Descriptive Research Design
As discussed earlier, common research methods for descriptive research include surveys, case studies, observational studies, cross-sectional studies, and longitudinal studies. Design your study: Plan the details of your study, including the sampling strategy, data collection methods, and data analysis plan.
What is Descriptive Research? Definition, Methods, Types and Examples
Descriptive research is a methodological approach that seeks to depict the characteristics of a phenomenon or subject under investigation. In scientific inquiry, it serves as a foundational tool for researchers aiming to observe, record, and analyze the intricate details of a particular topic. This method provides a rich and detailed account ...
Dissertation & Thesis Outline
Dissertation & Thesis Outline | Example & Free Templates. Published on June 7, 2022 by Tegan George.Revised on November 21, 2023. A thesis or dissertation outline is one of the most critical early steps in your writing process.It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding the specifics of your dissertation topic and showcasing its relevance to ...
Descriptive Research Designs: Types, Examples & Methods
Some characteristics of descriptive research are: Quantitativeness. Descriptive research uses a quantitative research method by collecting quantifiable information to be used for statistical analysis of the population sample. This is very common when dealing with research in the physical sciences. Qualitativeness.
Descriptive Research: Design, Methods, Examples, and FAQs
Descriptive research is a common investigatory model used by researchers in various fields, including social sciences, linguistics, and academia. To conduct effective research, you need to know a scenario's or target population's who, what, and where. Obtaining enough knowledge about the research topic is an important component of research.
Descriptive Research Studies
Descriptive research may identify areas in need of additional research and relationships between variables that require future study. Descriptive research is often referred to as "hypothesis generating research." Depending on the data collection method used, descriptive studies can generate rich datasets on large and diverse samples. Limitations:
80+ Exceptional Research Titles Examples in Different Areas
Examples of Research Topics on Ethics. Enumerate the different ways the government of the United States can reduce deaths arising from the unregulated use of guns. Analyze the place of ethics in medicine or of medical practitioners. For instance, you can discuss the prevalence of physician-assisted suicides in a named country.
500+ Quantitative Research Titles and Topics
Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology, economics, and other fields where researchers aim to understand human behavior and phenomena through statistical analysis.
Prize-Winning Thesis and Dissertation Examples
Prize-Winning Thesis and Dissertation Examples. Published on September 9, 2022 by Tegan George.Revised on July 18, 2023. It can be difficult to know where to start when writing your thesis or dissertation.One way to come up with some ideas or maybe even combat writer's block is to check out previous work done by other students on a similar thesis or dissertation topic to yours.
(PDF) Descriptive Research Designs
A descriptive study design is a research method that observes and describes the behaviour of subjects from a scientific viewpoint with regard to variables of a situation (Sharma, 2019). Here, the ...
A Descriptive, Survey Research Study of The Student Characteristics
A DESCRIPTIVE, SURVEY RESEARCH STUDY OF THE STUDENT CHARACTERISTICS INFLUENCING THE FOUR THEORETICAL SOURCES OF MATHEMATICAL SELF-EFFICACY OF COLLEGE FRESHMEN Tonja Motley Locklear University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits you. Recommended Citation
Sample Descriptive Research Title
Sample Descriptive Research Title - Free download as Word Doc (.doc / .docx), PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site.
Thesis & Dissertation Title Page
The title page (or cover page) of your thesis, dissertation, or research paper should contain all the key information about your document. It usually includes: Dissertation or thesis title. Your name. The type of document (e.g., dissertation, research paper) The department and institution. The degree program (e.g., Master of Arts)
PDF A Descriptive Study on the Preparation of Student Teachers to ...
The purpose of the study was to describe the degree to which the involved agricultural education programs prepared their students to work with diverse populations. The study also examined attitudes and beliefs of the student teachers regarding diversity. The results of the study suggest that this group of student teachers was not adequately ...