Top 100 Research Methodology Project Topics
Research methodology might sound like a fancy term, but it’s simply the way researchers go about investigating a question or problem. Think of it as a roadmap for your project, guiding you through the steps to find answers. It’s crucial to pick the right methodology because it determines how you collect and analyze data, which affects the reliability of your findings. So, let’s check 100 research methodology project topics below.
Types of Research Methodologies
Table of Contents
There are mainly three types of research methodologies: quantitative, qualitative, and mixed-methods.
Quantitative Research Methodology
Quantitative research focuses on collecting numerical data and analyzing it statistically. It’s great for measuring things objectively.
For instance, if you’re studying how many people prefer coffee over tea, quantitative research can provide concrete numbers.
Qualitative Research Methodology
Qualitative research, on the other hand, dives deep into understanding people’s experiences, feelings, and behaviors. It’s like peeling an onion layer by layer to reveal the underlying emotions and motivations.
For example, if you want to explore why some students struggle with math, qualitative research can uncover personal stories and perspectives.
Mixed-Methods Research
Sometimes, researchers use a combination of quantitative and qualitative methods, known as mixed-methods research.
This approach offers a more comprehensive understanding of a topic by blending numerical data with rich narratives. It’s like having the best of both worlds.
Factors Influencing Choice of Research Methodology
Several factors influence the choice of research methodology:
- Nature of the research question: Is it about measuring something objectively or understanding complex human behaviors?
- Availability of resources: Do you have access to the tools and expertise needed for a particular methodology?
- Time constraints: How much time do you have to conduct the research?
- Ethical considerations: Are there any ethical concerns related to your research methods?
Steps Involved in Research Methodology for Project Topics
Regardless of the chosen methodology, research typically follows these steps:
- Problem Definition: Clearly define the research question or problem you want to address.
- Literature Review: Explore existing research and theories related to your topic to build a solid foundation.
- Selection of Research Design: Choose the appropriate methodology based on your research question and objectives.
- Data Collection: Gather relevant data using surveys, interviews, observations, or experiments.
- Data Analysis: Analyze the collected data using statistical tools (for quantitative research) or thematic analysis (for qualitative research).
- Interpretation of Results: Draw conclusions based on your analysis and discuss their implications.
Best Practices in Research Methodology for Project Topics
To ensure the quality and integrity of your research, follow these best practices:
- Ensuring validity and reliability of data: Use reliable measurement tools and sampling techniques to minimize errors.
- Ethical considerations in research: Obtain informed consent from participants, protect their privacy, and avoid any form of deception.
- Proper documentation and citation: Keep detailed records of your research process and cite all sources properly to avoid plagiarism.
- Peer review and feedback: Seek feedback from peers and experts in your field to improve the quality of your research.
- The impact of online surveys on response rates and data quality.
- Comparing the effectiveness of focus groups and individual interviews in marketing research.
- Analyzing the ethical considerations of using social media data for research.
- Exploring the potential of big data analytics in social science research.
- Evaluating the reliability and validity of mixed-methods research approaches.
- Examining the role of cultural sensitivity in international research projects.
- Investigating the challenges and opportunities of conducting research in conflict zones.
- Analyzing the effectiveness of different strategies for recruiting research participants.
- Exploring the use of action research methodologies in addressing real-world problems.
- Evaluating the impact of researcher bias on the research process and outcomes.
- Investigating the potential of citizen science for collecting and analyzing data.
- Exploring the use of virtual reality in conducting research studies.
- Analyzing the ethical considerations of conducting research with vulnerable populations.
- Evaluating the effectiveness of different strategies for disseminating research findings.
- Examining the role of storytelling in qualitative research.
- Investigating the use of visual methods in research, such as photography and video.
- Analyzing the challenges and opportunities of conducting longitudinal research studies.
- Exploring the use of case studies in research projects.
- Evaluating the effectiveness of different strategies for coding and analyzing qualitative data.
- Examining the role of theory in research design and analysis.
- Investigating the use of discourse analysis methodologies in research.
- Analyzing the strengths and limitations of quantitative research methods.
- Exploring the use of experimental research designs in social science research.
- Evaluating the effectiveness of different sampling techniques in research.
- Examining the role of research ethics committees in ensuring the ethical conduct of research.
- Investigating the challenges and opportunities of conducting research online.
- Analyzing the impact of social media on public perceptions of research.
- Exploring the use of gamification in research to increase participant engagement.
- Evaluating the effectiveness of different strategies for data visualization.
- Examining the role of open access in making research findings available to a wider audience.
- Investigating the challenges and opportunities of interdisciplinary research collaborations.
- Analyzing the impact of political and economic factors on research funding.
- Exploring the use of participatory action research methodologies to empower communities.
- Evaluating the effectiveness of different strategies for knowledge mobilization.
- Examining the role of research in informing policy and practice.
- Investigating the use of artificial intelligence in research methodologies.
- Analyzing the ethical considerations of using facial recognition technology in research.
- Exploring the potential of blockchain technology to improve data security and transparency in research.
- Evaluating the effectiveness of different strategies for engaging with stakeholders in research projects.
- Examining the role of reflexivity in qualitative research.
- Investigating the use of narrative inquiry methodologies in research.
- Analyzing the strengths and limitations of case studies as a research method.
- Exploring the use of secondary data analysis in research projects.
- Evaluating the effectiveness of different strategies for managing and storing research data.
- Examining the role of research assistants in the research process.
- Investigating the challenges and opportunities of conducting research in developing countries.
- Analyzing the impact of climate change on research methodologies.
- Exploring the use of citizen science for environmental monitoring.
- Evaluating the effectiveness of different strategies for conducting research with indigenous communities.
- Examining the role of research in promoting social justice.
- Investigating the historical development of research methodologies.
- Analyzing the impact of technological advancements on research practices.
- Exploring the use of mixed methods research approaches in different disciplines.
- Evaluating the effectiveness of different strategies for managing research projects.
- Examining the role of research funders in shaping research agendas.
- Investigating the challenges and opportunities of conducting research across different cultures.
- Analyzing the impact of language barriers on research communication.
- Exploring the use of collaborative online platforms for conducting research.
- Evaluating the effectiveness of different strategies for promoting research skills development.
- Examining the role of research misconduct in undermining public trust in research.
- Investigating the challenges and opportunities of conducting research with children.
- Analyzing the impact of research on mental health and well-being.
- Exploring the use of arts-based research methodologies.
- Evaluating the effectiveness of different strategies for recruiting and retaining research participants.
- Examining the role of research networks in supporting researchers.
- Investigating the challenges and opportunities of conducting research in the private sector.
- Exploring the use of open science practices to promote research transparency and reproducibility.
- Evaluating the effectiveness of different strategies for mentoring and supporting early-career researchers.
- Examining the role of research misconduct in retracting scientific articles.
- Investigating the challenges and opportunities of data sharing in research.
- Analyzing the impact of open data initiatives on scientific progress.
- Exploring the use of crowdsourcing in research to gather data and solve problems.
- Evaluating the effectiveness of different strategies for promoting research impact.
- Examining the role of alternative research metrics in evaluating the quality of research.
- Investigating the use of bibliometrics to analyze research trends and identify emerging areas.
- Analyzing the impact of research on public policy and decision-making.
- Exploring the use of participatory research methodologies to empower communities.
- Evaluating the effectiveness of different strategies for communicating research findings to the public.
- Examining the role of social media in disseminating research findings.
- Analyzing the impact of humanitarian aid on research practices in developing countries.
- Exploring the use of research methodologies to address global challenges, such as climate change and poverty.
- Evaluating the effectiveness of different strategies for building research capacity in developing countries.
- Examining the role of international research collaborations in promoting global research excellence.
- Investigating the challenges and opportunities of conducting research in the field of artificial intelligence.
- Analyzing the ethical considerations of using autonomous robots in research.
- Exploring the potential of artificial intelligence to automate research tasks.
- Evaluating the effectiveness of different strategies for mitigating the risks of bias in artificial intelligence-powered research.
- Examining the role of research in shaping the future of work.
- Investigating the impact of automation on research jobs.
- Exploring the use of new technologies to improve research efficiency and productivity.
- Evaluating the effectiveness of different strategies for developing transferable skills for researchers.
- Examining the role of lifelong learning in maintaining research expertise.
- Investigating the impact of research funding cuts on research quality and innovation.
- Exploring the use of alternative funding models, such as crowdfunding and philanthropy, to support research.
- Evaluating the effectiveness of different strategies for advocating for increased research funding.
- Examining the role of research universities in driving innovation and economic growth.
- Investigating the impact of research on social and cultural change.
- Exploring the future of research methodologies in an ever-changing world.
Examples of Research Methodology Project Topics
Here are some examples of project topics suited for different research methodologies:
Quantitative Research Topics
- The impact of social media usage on mental health among teenagers.
- Factors influencing customer satisfaction in the hospitality industry.
Qualitative Research Topics
- Exploring the experiences of first-generation college students.
- Understanding the challenges faced by small business owners during the COVID-19 pandemic.
Mixed-Methods Research Topics
- Assessing the effectiveness of a school bullying prevention program .
- Investigating the relationship between exercise habits and stress levels among working adults.
Research methodology is like a compass that guides you through the journey of inquiry. By understanding the different types of methodologies, factors influencing their choice, and best practices, you can embark on your research methodology project topics journey with confidence.
Remember, the key to successful research lies in asking the right questions and choosing the appropriate methodology to find the answers.
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Guide to Research Methods
About the guide
This guide will
- Introduce you to a range of research methods
- Help you think about the value and limitations of different research methods
- Identify when to use alternative research methods
You should use the guide
- After or while you establish your research questions (See the Guide to Research Questions )
- When you are completing your Research Design Framework
- When you are thinking about who you want to talk to and why (See the Guide to Sampling )
You should print or read this guide
These slides are set up so that they can be printed back to back (two/four sided) to give:
- A short hand overview about when to use each method
- A summary of the method, what it’s good for and limitations (linking to other slides in this pack)
Choosing research methods
When you need to think about which method is best in theory and in practice
Choosing Research Methods
Providing a rationale for the methods you choose to use and how you employ them.
- What are your research goals? If you are looking to influence experts or policy makers, quantitative approaches will add weight to your findings. If you are looking to understand problems, inform innovation or develop a prototype, look at qualitative methods or user research
- What are your research questions? If they begin with ‘explore’ or ‘what’ look at qualitative methods (talking). If they begin with ‘identify’ or ‘why’ look at quantitative (see guide to research questions )
- What research traditions exist? You may choose to follow or challenge them. Think about whether you want your research to be noted for its quality and robustness or creative approach and unique insights
- What are your/your teams skills? You may not be an expert in the most appropriate method so consider asking for other team members or commissioning out research
- Who are you research participants? Think about your relationship to participants (especially if you are doing qualitative research) and how they will respond to you and the method. Consider if they are often consulted or surveyed and whether if could be helpful or unhelpful to stick with their comfort zone or not.
Using online tools
When you need to decide which tools to use for research
What to think about when choosing a tool to conduct research
- What’s the cost to the research quality ? Most tools are ‘freemium’, use a basic version for free. BUT these are designed to annoy you to pay to do good research. Consider privacy settings, data access, storage and value for money. Survey tools will have no option to filter participants (if yes/no answer this q), a 10Q limit, no branding. Mapping/visualisations are published online and open source tools aren’t always user friendly
- Start with user needs, understand the context and think about everyone. Consider what technology they have, how they will access the tool and what they need to do this. Do they have internet, data, time?
- Be creative: Online tools may not be designed for research, but Google Forms, Trello, Workflowy and Slack are all valuable collaboration tools. Twitter and Facebook polls may increase participation in research. However, think about what they are missing, what they can’t do and pilot your analysis approach first
- See what’s out there: This online sheet of Applied Social Research Guides and Resources includes a list of online tools for research and evaluation to test. Those widely used for your research method or sector are likely to be the best starting point. Some tools allow you to do research (see Tags for Twitter data capture), analyse it or present it in new ways (see Raw Graph s for data visualisation)
Contents: Methods summary
- Structured Interviews : When you want to gain a broad range of perspectives about specific questions
- Semi-Structured Interviews : When you want to gain in-depth insights about broad questions
- Unstructured Interviews : When you want to gain in-depth insights about a complex research topics
- Telephone Interviews : A tool for when you want to interview people quickly and easily
- Guerilla Interviews : When you want to carry out user research or explore general perspectives quickly
- Contextual Interviews : When you want to understand actions and particular experiences indepth and in context
- Focus Groups : When you want to understand shared experiences and different perspectives
- Participant Observation : When you want to ‘learn by doing’ or observe social interactions and behaviour
- Ethnography : When you want to experience social practices, interactions and behaviour with minimal influence
- Surveys: When you want to generate numerical data about the scale of people’s opinions and feelings
- Mixed Methods: When one method cannot fully answer your main research question
- User Research : When you want to learn about the behaviours and motivations of your target audience
- Service Design Research : When you want to design a service to meet people’s needs.
- Content Analysis : When you want to understand public discourse through secondary or online data
- Workshops : When you want to engage stakeholders in research, generate ideas or codesign solutions
- Usability tests : When you want to test prototypes or learn about problems with an existing service
Find out more
How to do good…
- Applied social research: A curated online sheet of Applied Social Research Guides and Resources
- Surveys : Guide to creating questions here and here , build on existing data/questions , analysis guide
- Interviews : A nice overview here which includes how to structure an interview
- User research : The GDS for intro guides and DisAmbiguity blog
- Service design: This is Service Design Doing has great tools and formats for workshops
Inspiration for emerging research methods and creative formats for research
- Ethnography and mixed methods presented well: Ikea At Home Report
- User mapping techniques as a social research method NPC Report
- User Research to understand domestic abuse experiences and the potential for technology Tech Vs Abuse
- Using Twitter data for social research Demos
- Data visualisation as a tool for research communication - Nesta data visualisation and Women’s Aid Map
- Data journalism and data storytelling - Guardian reading the riots
- An online games to shift perspective on a social problem - Financial Times Uber Story
- Content analysis to map trends - Nesta analysed creative skills in job adverts
- Issue mapping online - networks of websites and people on Twitter - Warwick University Issue Mapping
Structured Interviews
When you want to gain a broad range of perspectives about specific questions
Also consider
Semi-structured interviews
A conversation with a set structure (a script of fixed questions) and specific purpose. Can be a method to undertake a survey or called a ‘directed’ interview.
- Asking standardised questions across many participants makes data easier to analyse and compare
- Giving participants a clear guide about what you want to learn from them
- Topics that would be too complex to capture in a questionnaire tick box/short response
- Respondents with limited time, who want to consider responses in advance or do not want to write
- The quality of the interview is less dependent on the interviewer and their rapport with the interviewee
Limitations (and how to avoid or what to consider instead)
- The structure prevents participants from bringing in other ideas (consider semi-structured interviews )
- Whilst quicker to conduct and analyse than semi-structured interviews, they are still resource intensive and only possible to do with limited numbers of people (consider questionnaires online - see surveys )
Semi-Structured Interviews
When you want to gain in-depth insights about broad questions
Participant Observation
User research
Focus groups
Semi-Structured interviews
Conversation with a structure (set of open questions) and clear purpose. Also called directed interviews.
- Exploring a range of perspectives on research questions, engaging experts and getting buy-in to research
- Gaining in-depth insights about how people feel or interpret complex issues
- Topics which are sensitive, difficult to express in writing or to articulate views about in a survey
- Allowing participants to respond in their words, framing what they see as important
Limitations
- Quality can depend on interviewer skills and put people on the spot (consider setting topics in advance)
- The set-up affects the quality of engagement and discussion (consider location, relationship with the interviewee and whether you should do a face to face or Telephone/Online interview )
- Time consuming to do, analyse and compare (consider Structured Interviews or Focus groups )
- Can lack validity as evidence (consider Surveys )
- Explore what people say, think and remember, not what they actually do (consider Participant Observation contextual interviews or User Research ) or shared perspectives (consider Focus groups )
- Easy to provide too much structure and prevent open exploration of a topic (see unstructured interviews )
Unstructured Interviews
When you want to gain in-depth insights about a complex research topics
Contextual interviews
Unstructured interviews
A loosely structured open conversation guided by research topics (also called non-directed interviews)
- Very exploratory research and broad research questions
- Letting the participant guide the interview according to their priorities and views
- In-depth and broad discussion about a person's expertise, experiences and opinions
- Participant can feel like the they are not saying the ‘right’ thing (explain technique and rationale well)
- Whilst useful for expert interviews, an unstructured approach can give the impression that the interviewer is unprepared, lacks knowledge or the research purpose is unclear (consider semi-structured interviews )
- Interviews are longer, resource intensive and only smaller numbers are possible (consider focus groups )
- Generates in-depth insights that are difficult to analyse and compare
- A lack of structure can encourage participants to focus in-depth on one thing they are positive about or know very well in-depth (consider using desk research to inform the interview topics)
Guerilla Interviews
When you want to carry out user research or explore general perspectives quickly and easily
An ‘impromptu’ approach to interviewing, often talking to real people on the street or at a key site
- Gaining immediate responses to a tool or design and insights into a problem
- Informal method means participants can be more relaxed and open
- Speaking to a lot of people, simply, quickly and cheaply about one key question
- User research and user experience of interacting with digital products
- Speaking to people for convenience (users are available in a single place and time) introduces sample bias (but you can add more targeting and profiling of participants, see the Guide to Sampling )
- The lack of formal structure can mean that you miss important questions or insights
- Findings are often unreliable and not generalisable because they rely on a single type of user
- Difficult to understand complexity or gain contextual insights
Telephone / online interviews
A tool for when you want to interview people quickly and easily
Telephone or Online interviews
A tool to conduct an interview (it is not a method in itself) which is not in person/ face to face
- Conducting interviews without the costs of travel and meeting time (often shorter)
- Expert and stakeholder interviews, when you already know the participant well or they are short of time
- Taking notes and looking up information whilst interviewing is less disruptive than in person, easy to record
- Sending informed consent information and interview questions in advance
- Can be difficult to undertake an engaging interview (hard to build rapport on the phone)
- Often need to be shorter and put alongside other meetings
What method are you using?
- Structured interviews : When you want to gain a broad range of perspectives about specific questions
- Semi-structured interviews : When you want to gain in-depth insights about broad questions
- Unstructured interviews : When you want to gain in-depth insights about a complex research topics
Further guides to Interviews : A nice overview here , including how to structure an interview
Contextual Interview
When you want to understand actions and particular experiences in-depth and in context
Ethnography
Interviews conducted with people in a situational context relevant to the research question; also known as contextual inquiry.
- Understanding what happens, experiences and emotions whilst interacting with a tool, service or event.
- Easier for research participants to show rather than explain, participants are active and engaged
- Uncover what happens, what people do, how they behave in the moment, rather than how they remember this and give meaning to these responses later.
- Open and flexible method giving depth of insights about a tool or specific interaction
- Time and resource intensive for the researcher
- Each context is unique - making it difficult to generalise from or to answer broader research questions about experiences (consider semi-structured interviews )
- The researcher influences the interactions and events (consider ethnography or participant observation )
When you want to understand shared experiences and different perspectives
Focus Groups
An organised discussion with a group of participants, led by a facilitator around a few key topics
- Gaining several perspectives about the same topic quickly
- Research contexts and topics where familiarity between participants can generate discussion about similar experiences (or different ones) which may not arise in a one to one interview
- When attitudes, feelings and beliefs are more likely to be revealed in social gathering and interactions
- Including tasks and creative methods to elicit views (e.g. shared ranking of importance of statements)
- Difficult to identify the individual view from the group view (consider semi-structured interviews )
- Group dynamics will affect the conversation focus and participation levels of different members
- The role of the moderator is very significant. Good levels of group leadership and interpersonal skill are required to moderate a group successfully.
- The group set-up is an ‘artificial’ social setting and discussion (consider Participant Observation )
Participant observation
When you want to ‘learn by doing’ and observe social interactions and behaviour
Participant observation/ shadowing
The researcher immerses themselves in lives of participants as an ‘observer’ of their behaviours, practices and interactions. A type of ethnography. The people being observed know about the research.
- Understanding everyday behaviours, interactions and practice in the context that they occur
- Gaining an intuitive understanding of what happens in practice and what this means for those involved
- Allowing research participants to show you what they do, when they can’t describe and remember this well
- Establishing topics for further investigation through more structured or focused research methods
- If explicit (shadowing for example) the research situation is still ‘artificial’
- Your audience may not respect it and can be difficult to generalise from (consider mixed methods)
- The quality of the data is dependent on the researchers’ skills and relationships with participants
When you want to experience social practices, interactions and behaviour with minimal influence on what happens
The systematic study of a group of people or cultures to understand behaviours and interactions. The researcher becomes an ‘insider’. It is a way of presenting research findings, as well as a method, which can include participant observation, document analysis and visual methods.
- When you need to be an ‘insider’ to fully access the research context (such as organisational cultures)
- Presenting how everyday behaviours, interactions and practice occur in context
- Gaining an in-depth knowledge of your research context, participants and social relationships
- When little is known about a research context or topic
- If covert (at a conference or workplace for example) it has implications for informed consent
- If explicit (shadowing for example) the researcher’s presence can affect the interactions and findings
Example use case : Ikea At Home research study to understand how people feel about their home
When you want to generate numerical data about the scale of people’s opinions and feelings
Mixed Methods
A process of systematically collecting information from a large number of different people. Responses are summarised as statistics (online surveys automate this analysis for you).
- Targeting specific types of research participant and providing data about their views
- If designed well, they can be quick, simple and non intrusive for research participants
- Findings can have more credibility than other methods because of their breadth
- Describing, measuring and understanding (a basic questionnaire)
- Statistical analysis, modelling cause and effect (large scale survey designed to represent the population)
- Can raise more questions about what happens and why, lack depth of insight (consider mixed methods )
- Hard to design well and require a lot of time upfront and data skills to analyse the results
- Low completion rates and people feel ‘over surveyed’ (consider incentives )
- Assumes people will be honest and sufficiently aware of the research context to provide credible answers.
Further information: A great guide to creating questions here and here , build on existing data/questions here
When one research method cannot fully answer your main research question
Mixed methods
Combining different methods to answer your research questions, can be a mix of quantitative or qualitative methods or both. It may mean working with different types of data, research designs or being part of a research team (covering different research disciplines)
- Overcoming the limitation of relying on a single research method or approach
- Triangulating findings (i.e. using an additional method) can give them more validity
- Accessing different types of research participants
- A more holistic understanding about how, why and the extent to which something happens
- Answering different types of research questions about frequency and perceptions
- Giving findings more validity and influence because of the range of data and insights
- Requires a broader range of skills and more time to deliver, analyse and report on
- Research design must have strong sequencing (when each method is used and analysed , why) to make the most of a mixed methods approach - not always possible in a tight timescale or short research project
User Research
When you want to learn about people’s needs, behaviours and motivations for using a service
Service Design
S emi-Structured Interviews
Usability testing
A research approach employed to understand users and their needs, motivations and behaviours, primarily to inform service design.
- User-centered design processes which look to ensure services meet the needs of their audience
- Gaining specific insights into how a person interacts with a digital tool or service
- Exploring general needs, behaviours and motivations for a specific target group using a range of services
- Focus on a tool or service can prevent wider analysis, relevance and applicability
- Research can lack credibility due to small numbers, set up, documentation (often highly specific focus)
- Can overlook those who do not use a service for a whole range of reasons
What method?
- User research involves any method which looks at who users are, the problems they face, what they are trying to do and how they use existing services. This can create user personas, user journeys and user experience maps. It largely includes qualitative research methods.
When you want to design a service to meet people’s needs, including planning, organising, infrastructure, communication and components)
A research approach employed in the activity of planning and organising of people, infrastructure, communication and material components of a service, in order to improve quality and interaction.
- Gaining a holistic picture of all components (infrastructure, people, organisations, culture) affecting how a person interacts with a service
- Service design often begins with user research but participants in research include all those involved in delivering (not just using) a service, such as employees and stakeholders in an organisation as well as looking at the context and system which affect how a service works and its effectiveness
Content analysis
When you want to understand public discourse through secondary or online data
A systematic process of classifying and interpreting documents, text or images to analyse key discourses (their meaning) or to quantify patterns (such as word frequencies). This can be done manually or it can be automated.
- Exploring the focus of messages, text or imagery and change over time
- Secondary data sources, such as archives, online social media data (such as Tweets) and news articles
- Gaining a qualitative or quantitative insights about key messages
- Focuses on public and documented interpretations of events and experiences
- Documents are not exhaustive and not all are accessible (or available online/freely)
- Qualitative coding is time intensive to manually classify, reliant on researcher interpretation
- Automated coding for key words can miss nuances and difficult to produce meaningful findings
When you want to engage stakeholders in research, generate ideas or codesign solutions
Also consider:
A tool to undertake research. It is an interactive session, often taking a full day, in which research participants sor stakeholders work intensively on an issue or question. The process can combine elements of qualitative research, brainstorming or problem solving.
- Engaging stakeholders - building empathy with and understanding of research findings
- Understanding problems or prototyping solutions, linked to user research and service design approaches
- Participatory research, allowing participants to shape agendas and outcomes
- Creative, collaborative and engaging activities to build rapport and understanding with participants
- Participatory design, enabling participants to co-design solutions which work for them
- Highly dependent on the right people attending and the facilitation skills
- Can be a lot of time and effort to coordinate a workshop effectively and analyse findings
- The immersive and collaborative environment makes it difficult to document effectively
- Collaborative solutions may duplicate existing problems or solutions
When you want to test prototypes or learn about problems with an existing service
A user research method where you watch participants try to complete specific tasks using your service. Moderated testing involve interaction with the research participant, asking them to explain what they are doing, thinking and feeling. Unmoderated testing is completed alone by the participant.
- Identify any usability issues with a digital service - for example, problems with the language or layout
- Seeing if users understand what they need to do in order to complete designated tasks
- Generating ideas to improve a prototype of existing digital service
- Assessing user experience
- Focus is not on ‘natural’ use (consider contextual interviews , participant observation , ethnography )
- Data is about a specific design and interaction with a tool at that moment
- Findings cannot be generalised or applicable more broadly to understand users and behaviours
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[Updated 2023] Top 20 PowerPoint Templates to Devise a Systematic Research Methodology
Kritika Saini
Developing a systematic research methodology is essential for conducting effective investigations. It ensures clarity, rigor, validity, replicability, ethical integrity, and efficiency in the research process. It serves as a roadmap that guides researchers through the study, enabling them to generate reliable findings and contribute to the advancement of knowledge in their respective fields.
Research Methodology Templates to Conduct Rigorous and Reliable Research
By following a well-structured approach, you can enhance the efficiency of your research and produce meaningful results. Therefore, SlideTeam brings you a collection of content-ready and custom-made PPT templates to help you save time by providing pre-designed structures and frameworks for research methodologies. You can customize these templates to fit your specific projects, eliminating the need to create a methodology from scratch.
This time-saving aspect allows you to focus more on the actual research process. Secondly, these ready-made templates provide you with consistency and standardization in methodologies. They ensure that essential elements are included and organized in a logical manner, making it easier for readers and reviewers to understand and evaluate the research. They also serve as a helpful guide, ensuring that researchers cover all necessary components and follow best practices. They provide a clear and structured format for learning about research methodologies and help researchers develop a systematic approach to their work. Overall, research methodology templates streamline the process, enhance consistency, and serve as educational resources for researchers at various levels of expertise.
Browse the collection below and ensure that your methodology is comprehensive and well-written.
Let's begin!
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Template 1: Research method PPT Template
Save time and ensure consistency with our research methodology template. Designed to streamline your research process, our content-ready template provides a pre-designed structure and framework for developing your methodology section. Use this actionable PPT to focus more on conducting your research while ensuring that all essential elements are covered and organized in a logical manner. Enhance your efficiency and maintain consistency with our research methodology template.
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FAQs on Research Methodology
What are the four types of research methodology.
The four types of research methodology commonly used in academic and scientific studies are:
Descriptive Research: This type aims to describe and document the characteristics, behavior, and phenomena of a particular subject or population. It focuses on gathering information and providing an accurate portrayal of the research topic.
Experimental Research: This approach involves the manipulation and control of variables to establish cause-and-effect relationships. It often includes the use of control groups and random assignment to test hypotheses and draw conclusions.
Correlational Research: This methodology examines the statistical relationship between two or more variables without direct manipulation. It aims to identify patterns and associations between variables to understand their degree of relationship.
Qualitative Research: This approach focuses on exploring and understanding the subjective experiences, perspectives, and meanings attributed by individuals or groups. It involves methods such as interviews, observations, and analysis of textual or visual data to uncover insights and interpretations.
What are the 3 main methodological types of research?
The three main methodological types of research are:
Quantitative Research: This approach involves the collection and analysis of numerical data to uncover patterns, relationships, and statistical trends. It focuses on objective measurements, often utilizing surveys, experiments, and statistical analysis to quantify and generalize findings.
Qualitative Research: This methodology aims to understand the subjective experiences, meanings, and social contexts associated with a research topic. It relies on non-numerical data, such as interviews, observations, and textual analysis, to explore in-depth perspectives, motivations, and behavior.
Mixed-Methods Research: This type of research integrates both quantitative and qualitative approaches, combining the strengths of both methodologies. It involves collecting and analyzing both numerical and non-numerical data to gain a comprehensive understanding of the research problem. Mixed-methods research can provide a more nuanced picture by capturing both statistical trends and rich contextual information.
What are the 7 basic research methods?
There are several research methods commonly used in academic and scientific studies. While the specific categorization may vary, here are seven basic research methods:
Experimental Research: Involves controlled manipulation of variables to establish cause-and-effect relationships.
Survey Research: Utilizes questionnaires or interviews to collect data from a sample population to gather insights and opinions.
Observational Research: Involves systematic observation of subjects in their natural environment to gather qualitative or quantitative data.
Case Study Research: In-depth analysis of a particular individual, group, or phenomenon to gain insights and generate detailed descriptions.
Correlational Research: Examines the statistical relationship between variables to identify patterns and associations.
Qualitative Research: Focuses on understanding subjective experiences, meanings, and social contexts through interviews, observations, and textual analysis.
Action Research: Involves collaboration between researchers and participants to address real-world problems and generate practical solutions.
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Lecture Notes on Research Methodology
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Presentation on theme: "Lecture Notes on Research Methodology"— Presentation transcript:
Introduction to Research Methodology
Sabine Mendes Lima Moura Issues in Research Methodology PUC – November 2014.
Today Concepts underlying inferential statistics
Richard M. Jacobs, OSA, Ph.D.
Research Methodology Lecture 1.
Chapter 12 Inferential Statistics Gay, Mills, and Airasian
Sample Design.
Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning,
Magister of Electrical Engineering Udayana University September 2011
Chapter 1: Introduction to Statistics
RESEARCH A systematic quest for undiscovered truth A way of thinking
Research Methodology.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
Research Seminars in IT in Education (MIT6003) Quantitative Educational Research Design 2 Dr Jacky Pow.
PROCESSING OF DATA The collected data in research is processed and analyzed to come to some conclusions or to verify the hypothesis made. Processing of.
Academic Research Academic Research Dr Kishor Bhanushali M
Question paper 1997.
Chapter 6: Analyzing and Interpreting Quantitative Data
Module III Multivariate Analysis Techniques- Framework, Factor Analysis, Cluster Analysis and Conjoint Analysis Research Report.
Chapter 7 Measuring of data Reliability of measuring instruments The reliability* of instrument is the consistency with which it measures the target attribute.
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- Research Methods
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Education Standards
Radford university.
Learning Domain: Social Work
Standard: Basic Research Methodology
Lesson 10: Sampling in Qualitative Research
Lesson 11: qualitative measurement & rigor, lesson 12: qualitative design & data gathering, lesson 1: introduction to research, lesson 2: getting started with your research project, lesson 3: critical information literacy, lesson 4: paradigm, theory, and causality, lesson 5: research questions, lesson 6: ethics, lesson 7: measurement in quantitative research, lesson 8: sampling in quantitative research, lesson 9: quantitative research designs, powerpoint slides: sowk 621.01: research i: basic research methodology.
The twelve lessons for SOWK 621.01: Research I: Basic Research Methodology as previously taught by Dr. Matthew DeCarlo at Radford University. Dr. DeCarlo and his team developed a complete package of materials that includes a textbook, ancillary materials, and a student workbook as part of a VIVA Open Course Grant.
The PowerPoint slides associated with the twelve lessons of the course, SOWK 621.01: Research I: Basic Research Methodology, as previously taught by Dr. Matthew DeCarlo at Radford University.
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introduction to research methodology
Related Papers
Egesa Romans
According to Mugenda & Mugenda (2010), research is process of carrying out a diligent inquiry or a critical examination of a given phenomenonexhaustive study that follows some logical sequence. Mouly defines research as a process of arriving at effective solutions to problems through systematic collection, analysis and interpretation of data. Research also involves a critical analysis of existing conclusions or theories with regard to newly discovered facts Research is the continued search for knowledge and understanding of the world around us. Clifford Woody argues that research is the process of designing and redefining problems, formulating hypothesis or suggested solutions, collecting, organizing and evaluating data, making deductions and reaching conclusions and carefully testing the conclusions to determine whether they fit the formulated hypothesis.
Educational Journal
Ganizani Nkhambule
In the simplest of terms, the research definition is a process of seeking out knowledge. This knowledge can be new, or it can support an already known fact. The purpose of research is to inform and is based on collected and analyzed data. This exploration occurs systematically, where it is either tested or investigated to add to a body of knowledge. Research is a systematic and scientific approach to understanding the world around us. It is a process of inquiry that involves the collection and analysis of data to answer questions or solve problems.
Bakhtawer Zain
Satyajit Behera
Akshay Jain
Research may be very broadly defined as systematic gathering of data and information and its analysis for advancement of knowledge in any subject. research attempts to find answer intellectual and practical questions through application of systematic methods. Types of research can be classified in many different ways.
Research is any original and systematic investigation undertaken to increase knowledge and understanding and to establish facts and principles. It comprises the creation of ideas and generation of new knowledge that lead to new and improved insights and the development of new material, devices, products and processes. The word " research " perhaps originates from the old French word recerchier that meant to 'search again'. It implicitly assumes that the earlier search was not exhaustive and complete and hence a repeated search is called for.
Oscar Masaka
adreanne ormond
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Home » Research Methodology – Types, Examples and writing Guide
Research Methodology – Types, Examples and writing Guide
Table of Contents
Research Methodology
Definition:
Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.
Structure of Research Methodology
Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:
I. Introduction
- Provide an overview of the research problem and the need for a research methodology section
- Outline the main research questions and objectives
II. Research Design
- Explain the research design chosen and why it is appropriate for the research question(s) and objectives
- Discuss any alternative research designs considered and why they were not chosen
- Describe the research setting and participants (if applicable)
III. Data Collection Methods
- Describe the methods used to collect data (e.g., surveys, interviews, observations)
- Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
- Detail any procedures or instruments used for data collection
IV. Data Analysis Methods
- Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
- Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
- Detail any procedures or software used for data analysis
V. Ethical Considerations
- Discuss any ethical issues that may arise from the research and how they were addressed
- Explain how informed consent was obtained (if applicable)
- Detail any measures taken to ensure confidentiality and anonymity
VI. Limitations
- Identify any potential limitations of the research methodology and how they may impact the results and conclusions
VII. Conclusion
- Summarize the key aspects of the research methodology section
- Explain how the research methodology addresses the research question(s) and objectives
Research Methodology Types
Types of Research Methodology are as follows:
Quantitative Research Methodology
This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.
Qualitative Research Methodology
This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.
Mixed-Methods Research Methodology
This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.
Case Study Research Methodology
This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.
Action Research Methodology
This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.
Experimental Research Methodology
This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.
Survey Research Methodology
This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.
Grounded Theory Research Methodology
This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.
Research Methodology Example
An Example of Research Methodology could be the following:
Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults
Introduction:
The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.
Research Design:
The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.
Participants:
Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.
Intervention :
The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.
Data Collection:
Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.
Data Analysis:
Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.
Ethical Considerations:
This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.
Data Management:
All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.
Limitations:
One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.
Conclusion:
This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.
How to Write Research Methodology
Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:
- Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
- Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
- Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
- Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
- Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
- Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
- Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
- Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.
When to Write Research Methodology
Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.
The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.
The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.
Applications of Research Methodology
Here are some of the applications of research methodology:
- To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
- To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
- To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
- To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
- To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
- To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
- To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
- To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
- To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.
Purpose of Research Methodology
Research methodology serves several important purposes, including:
- To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
- To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
- To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
- To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
- To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.
Advantages of Research Methodology
Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:
- Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
- Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
- Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
- Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
- Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
- Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
- Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
- Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.
Research Methodology Vs Research Methods
About the author.
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Home Blog Presentation Ideas How to Create and Deliver a Research Presentation
How to Create and Deliver a Research Presentation
Every research endeavor ends up with the communication of its findings. Graduate-level research culminates in a thesis defense , while many academic and scientific disciplines are published in peer-reviewed journals. In a business context, PowerPoint research presentation is the default format for reporting the findings to stakeholders.
Condensing months of work into a few slides can prove to be challenging. It requires particular skills to create and deliver a research presentation that promotes informed decisions and drives long-term projects forward.
Table of Contents
What is a Research Presentation
Key slides for creating a research presentation, tips when delivering a research presentation, how to present sources in a research presentation, recommended templates to create a research presentation.
A research presentation is the communication of research findings, typically delivered to an audience of peers, colleagues, students, or professionals. In the academe, it is meant to showcase the importance of the research paper , state the findings and the analysis of those findings, and seek feedback that could further the research.
The presentation of research becomes even more critical in the business world as the insights derived from it are the basis of strategic decisions of organizations. Information from this type of report can aid companies in maximizing the sales and profit of their business. Major projects such as research and development (R&D) in a new field, the launch of a new product or service, or even corporate social responsibility (CSR) initiatives will require the presentation of research findings to prove their feasibility.
Market research and technical research are examples of business-type research presentations you will commonly encounter.
In this article, we’ve compiled all the essential tips, including some examples and templates, to get you started with creating and delivering a stellar research presentation tailored specifically for the business context.
Various research suggests that the average attention span of adults during presentations is around 20 minutes, with a notable drop in an engagement at the 10-minute mark . Beyond that, you might see your audience doing other things.
How can you avoid such a mistake? The answer lies in the adage “keep it simple, stupid” or KISS. We don’t mean dumbing down your content but rather presenting it in a way that is easily digestible and accessible to your audience. One way you can do this is by organizing your research presentation using a clear structure.
Here are the slides you should prioritize when creating your research presentation PowerPoint.
1. Title Page
The title page is the first thing your audience will see during your presentation, so put extra effort into it to make an impression. Of course, writing presentation titles and title pages will vary depending on the type of presentation you are to deliver. In the case of a research presentation, you want a formal and academic-sounding one. It should include:
- The full title of the report
- The date of the report
- The name of the researchers or department in charge of the report
- The name of the organization for which the presentation is intended
When writing the title of your research presentation, it should reflect the topic and objective of the report. Focus only on the subject and avoid adding redundant phrases like “A research on” or “A study on.” However, you may use phrases like “Market Analysis” or “Feasibility Study” because they help identify the purpose of the presentation. Doing so also serves a long-term purpose for the filing and later retrieving of the document.
Here’s a sample title page for a hypothetical market research presentation from Gillette .
2. Executive Summary Slide
The executive summary marks the beginning of the body of the presentation, briefly summarizing the key discussion points of the research. Specifically, the summary may state the following:
- The purpose of the investigation and its significance within the organization’s goals
- The methods used for the investigation
- The major findings of the investigation
- The conclusions and recommendations after the investigation
Although the executive summary encompasses the entry of the research presentation, it should not dive into all the details of the work on which the findings, conclusions, and recommendations were based. Creating the executive summary requires a focus on clarity and brevity, especially when translating it to a PowerPoint document where space is limited.
Each point should be presented in a clear and visually engaging manner to capture the audience’s attention and set the stage for the rest of the presentation. Use visuals, bullet points, and minimal text to convey information efficiently.
3. Introduction/ Project Description Slides
In this section, your goal is to provide your audience with the information that will help them understand the details of the presentation. Provide a detailed description of the project, including its goals, objectives, scope, and methods for gathering and analyzing data.
You want to answer these fundamental questions:
- What specific questions are you trying to answer, problems you aim to solve, or opportunities you seek to explore?
- Why is this project important, and what prompted it?
- What are the boundaries of your research or initiative?
- How were the data gathered?
Important: The introduction should exclude specific findings, conclusions, and recommendations.
4. Data Presentation and Analyses Slides
This is the longest section of a research presentation, as you’ll present the data you’ve gathered and provide a thorough analysis of that data to draw meaningful conclusions. The format and components of this section can vary widely, tailored to the specific nature of your research.
For example, if you are doing market research, you may include the market potential estimate, competitor analysis, and pricing analysis. These elements will help your organization determine the actual viability of a market opportunity.
Visual aids like charts, graphs, tables, and diagrams are potent tools to convey your key findings effectively. These materials may be numbered and sequenced (Figure 1, Figure 2, and so forth), accompanied by text to make sense of the insights.
5. Conclusions
The conclusion of a research presentation is where you pull together the ideas derived from your data presentation and analyses in light of the purpose of the research. For example, if the objective is to assess the market of a new product, the conclusion should determine the requirements of the market in question and tell whether there is a product-market fit.
Designing your conclusion slide should be straightforward and focused on conveying the key takeaways from your research. Keep the text concise and to the point. Present it in bullet points or numbered lists to make the content easily scannable.
6. Recommendations
The findings of your research might reveal elements that may not align with your initial vision or expectations. These deviations are addressed in the recommendations section of your presentation, which outlines the best course of action based on the result of the research.
What emerging markets should we target next? Do we need to rethink our pricing strategies? Which professionals should we hire for this special project? — these are some of the questions that may arise when coming up with this part of the research.
Recommendations may be combined with the conclusion, but presenting them separately to reinforce their urgency. In the end, the decision-makers in the organization or your clients will make the final call on whether to accept or decline the recommendations.
7. Questions Slide
Members of your audience are not involved in carrying out your research activity, which means there’s a lot they don’t know about its details. By offering an opportunity for questions, you can invite them to bridge that gap, seek clarification, and engage in a dialogue that enhances their understanding.
If your research is more business-oriented, facilitating a question and answer after your presentation becomes imperative as it’s your final appeal to encourage buy-in for your recommendations.
A simple “Ask us anything” slide can indicate that you are ready to accept questions.
1. Focus on the Most Important Findings
The truth about presenting research findings is that your audience doesn’t need to know everything. Instead, they should receive a distilled, clear, and meaningful overview that focuses on the most critical aspects.
You will likely have to squeeze in the oral presentation of your research into a 10 to 20-minute presentation, so you have to make the most out of the time given to you. In the presentation, don’t soak in the less important elements like historical backgrounds. Decision-makers might even ask you to skip these portions and focus on sharing the findings.
2. Do Not Read Word-per-word
Reading word-for-word from your presentation slides intensifies the danger of losing your audience’s interest. Its effect can be detrimental, especially if the purpose of your research presentation is to gain approval from the audience. So, how can you avoid this mistake?
- Make a conscious design decision to keep the text on your slides minimal. Your slides should serve as visual cues to guide your presentation.
- Structure your presentation as a narrative or story. Stories are more engaging and memorable than dry, factual information.
- Prepare speaker notes with the key points of your research. Glance at it when needed.
- Engage with the audience by maintaining eye contact and asking rhetorical questions.
3. Don’t Go Without Handouts
Handouts are paper copies of your presentation slides that you distribute to your audience. They typically contain the summary of your key points, but they may also provide supplementary information supporting data presented through tables and graphs.
The purpose of distributing presentation handouts is to easily retain the key points you presented as they become good references in the future. Distributing handouts in advance allows your audience to review the material and come prepared with questions or points for discussion during the presentation.
4. Actively Listen
An equally important skill that a presenter must possess aside from speaking is the ability to listen. We are not just talking about listening to what the audience is saying but also considering their reactions and nonverbal cues. If you sense disinterest or confusion, you can adapt your approach on the fly to re-engage them.
For example, if some members of your audience are exchanging glances, they may be skeptical of the research findings you are presenting. This is the best time to reassure them of the validity of your data and provide a concise overview of how it came to be. You may also encourage them to seek clarification.
5. Be Confident
Anxiety can strike before a presentation – it’s a common reaction whenever someone has to speak in front of others. If you can’t eliminate your stress, try to manage it.
People hate public speaking not because they simply hate it. Most of the time, it arises from one’s belief in themselves. You don’t have to take our word for it. Take Maslow’s theory that says a threat to one’s self-esteem is a source of distress among an individual.
Now, how can you master this feeling? You’ve spent a lot of time on your research, so there is no question about your topic knowledge. Perhaps you just need to rehearse your research presentation. If you know what you will say and how to say it, you will gain confidence in presenting your work.
All sources you use in creating your research presentation should be given proper credit. The APA Style is the most widely used citation style in formal research.
In-text citation
Add references within the text of your presentation slide by giving the author’s last name, year of publication, and page number (if applicable) in parentheses after direct quotations or paraphrased materials. As in:
The alarming rate at which global temperatures rise directly impacts biodiversity (Smith, 2020, p. 27).
If the author’s name and year of publication are mentioned in the text, add only the page number in parentheses after the quotations or paraphrased materials. As in:
According to Smith (2020), the alarming rate at which global temperatures rise directly impacts biodiversity (p. 27).
Image citation
All images from the web, including photos, graphs, and tables, used in your slides should be credited using the format below.
Creator’s Last Name, First Name. “Title of Image.” Website Name, Day Mo. Year, URL. Accessed Day Mo. Year.
Work cited page
A work cited page or reference list should follow after the last slide of your presentation. The list should be alphabetized by the author’s last name and initials followed by the year of publication, the title of the book or article, the place of publication, and the publisher. As in:
Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. New York, NY: ABC Publications.
When citing a document from a website, add the source URL after the title of the book or article instead of the place of publication and the publisher. As in:
Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. Retrieved from https://www.smith.com/climate-change-and-biodiversity.
1. Research Project Presentation PowerPoint Template
A slide deck containing 18 different slides intended to take off the weight of how to make a research presentation. With tons of visual aids, presenters can reference existing research on similar projects to this one – or link another research presentation example – provide an accurate data analysis, disclose the methodology used, and much more.
Use This Template
2. Research Presentation Scientific Method Diagram PowerPoint Template
Whenever you intend to raise questions, expose the methodology you used for your research, or even suggest a scientific method approach for future analysis, this circular wheel diagram is a perfect fit for any presentation study.
Customize all of its elements to suit the demands of your presentation in just minutes.
3. Thesis Research Presentation PowerPoint Template
If your research presentation project belongs to academia, then this is the slide deck to pair that presentation. With a formal aesthetic and minimalistic style, this research presentation template focuses only on exposing your information as clearly as possible.
Use its included bar charts and graphs to introduce data, change the background of each slide to suit the topic of your presentation, and customize each of its elements to meet the requirements of your project with ease.
4. Animated Research Cards PowerPoint Template
Visualize ideas and their connection points with the help of this research card template for PowerPoint. This slide deck, for example, can help speakers talk about alternative concepts to what they are currently managing and its possible outcomes, among different other usages this versatile PPT template has. Zoom Animation effects make a smooth transition between cards (or ideas).
5. Research Presentation Slide Deck for PowerPoint
With a distinctive professional style, this research presentation PPT template helps business professionals and academics alike to introduce the findings of their work to team members or investors.
By accessing this template, you get the following slides:
- Introduction
- Problem Statement
- Research Questions
- Conceptual Research Framework (Concepts, Theories, Actors, & Constructs)
- Study design and methods
- Population & Sampling
- Data Collection
- Data Analysis
Check it out today and craft a powerful research presentation out of it!
A successful research presentation in business is not just about presenting data; it’s about persuasion to take meaningful action. It’s the bridge that connects your research efforts to the strategic initiatives of your organization. To embark on this journey successfully, planning your presentation thoroughly is paramount, from designing your PowerPoint to the delivery.
Take a look and get inspiration from the sample research presentation slides above, put our tips to heart, and transform your research findings into a compelling call to action.
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Research Methodology
Aug 20, 2014
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Research Methodology. Introduction to Research Methodology. Stages of Research Project. Chapter 1: Introduction Chapter 2: Literature Review Chapter 3: Methodology Chapter 4: Data Analysis and Interpretation of Findings Chapter 5: Discussion and conclusion. Why do we research?.
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- highest contributor
- human resource managers
- data collection
- better employees job satisfaction
- direct relationship
- adequate solutions
Presentation Transcript
Research Methodology Introduction to Research Methodology
Stages of Research Project • Chapter 1: Introduction • Chapter 2: Literature Review • Chapter 3: Methodology • Chapter 4: Data Analysis and Interpretation of Findings • Chapter 5: Discussion and conclusion
Why do we research? • To acquire information/knowledge • Research – a particular way of knowing • Emphasis on systematic investigation • Scientific method- collecting observations in a systematic and objective manner • Identify problem • Generate Objectives/hypotheses/RQ • Collect data • Determine whether or not the hypotheses are supported. • Researches that use non-scientific method • Historical, etnography
Types of researches (by purpose) • Basic research (Fundamental Research) • Concerned with fundamental and theoretical questions. • A foundation upon which others can develop applications and solutions • while basic research may not appear to be helpful in the real world, it can direct us toward practical applications in the long run. • E.g. A study on job rotation impact (positive and negative impact) on employees.
Applied research • concerned with finding solutions to practical problems and putting these solutions to work in order to help others • E.g. Action Research on Best Job Rotation practices for Academic Institution
Chap.1: Introduction • Research Introduction and background • Problem statement • Objectives (main & specific objective) • Hypotheses or research questions • Theoretical/conceptual framework (quantitative only) • Variables definition (quantitative only) • Definition of terms (include operational definition) • Contribution/Significance/important of research • Limitation of research
Choosing a research topic • 2 things to be considered • Level of interest • Topic of interest will motivate one to do research on it • Choosing the wrong topic – you might end up or fail to discover some interesting value. • Feasibility • Your capability to complete a research conducted – e.g. data collection and analysis, report writing • Always take a research as you want to unveil a mystery
Getting ideas for researchers • Yourself (observation on a particular phenomena/experiences) • Discussion with expert in the field • Journal articles • Academic books (based on research work) • Proceeding and conference papers • Thesis, dissertation, final year project • Organizational Report (e.g statistic) • Others (Internet, Newspapers/magazines
Preparing a Problem Statement • A problem statement is a clear concise description of the issues (or problems) that need to be addressed by a researcher. • The primary purpose of a problem statement is to focus the attention of the researcher. • A research-worthy problem statement is the description of an active challenge (i.e. problem) faced by a researcher that does not have adequate solutions or theoretical foundation. • Should briefly address the question: What is the problem that the research will address?
More… • Define a problem or a gap that need to be researched to find a solution • Justify the need for a research • These gaps are discovered through journal articles (refer to limitations or suggestions in journal articles) • Sometimes a problem is discovered through: • personal experience of a researcher or a research sponsor • phenomena that happens around us.
Example of a problem statement • No known study that has looked into this specific topic. - exploratory research • There are only few studies that address this issue but most of the studies were done in Western countries especially in the United States(Mueller, 1998; Adruce, 2002; Adam, 2008) – Confirmatory research • There are several research works in this specific area but the findings are not consistent. Therefore, there is a need to do further research in this area – Confirmatory research
Continue … • There are several research works that have looked into a direct relationship between smoking habit and cancer; however, no known research has specifically looked into a mediator/moderator effect of a third variable (types of food consumed) • This incident (eg. Tsunami) has never happened in Malaysia, therefore, there is a need to study the post Tsunami effects in the affected region of Malaysia. • Most of the previous research in this area were done using qualitative method; therefore, there is a need to use quantitative/experimental method to test the preposition/ hypothesis.
Continue • Most of the previous research in this area were done using quantitative method; therefore, there is a need to use qualitative/experimental method to validate the findings.
How to prepare the Objective for the study • Based on the Problem Statement mentioned earlier • It is a statement that explains what the study will focus on • There are two types of objective • Main (This study is interested in studying the employees behavior related to job rotation amongst support staff) • Specific (to study the relation ship between job rotation and job satisfaction)
Hypothesis or research question • The purpose is to refine the objective of the study and make it easier to understand what we want to study • When to use Hypothesis or research question • Phenomena has been studied before and to test the findings we use hypotheses testing (e.g There is a relationship between job rotation and job satisfaction) • If no known study has been done in that specific area we should use research question instead (e.g Is there any relationship between job rotation and job satisfaction? • When can we use hypothesis even if there is no know research done in a specific area? • Experimental research
Theoretical/conceptual framework • Only to be used in quantitative study. • There is no need for theoretical/conceptual framework in a Qualitative study
Employees Satisfaction Based on Maslow Hierarchy of Needs Thory Basic Needs (Salary, Benefits) Job Satisfaction Job Security Peer Support
Hypothesis • There is a relationship between Basic Needs and Employees Job Satisfaction • Better Job Security will result in Better Employees Job Satisfaction • There is a relationship between work environment and employees job Satisfaction • RQ if there is no hypothesis • Which of the above factors rank the highest contributor to job satisfaction?
Successful Organization Based on Systems Theory Employees Performance External Environment Management Capability Organization Performance Services Provided
Definition of Terms used in your study • Dictionary definition • Defined by dictionary • Operational definition • An operational definition defines something (e.g. a variable, term, or object) in terms of the specific process or set of validation tests used to determine its presence and quantity.
Continue… • Theoretical Definition • A theoretical definition relies on the acceptance of theories and so it does not simply reduce to a set of observationsLike the theories that build them, theoretical definitions also improve as scientific understanding grows
Research Contribution • Contributions • theory/concept/model/hypothesis/proposition or knowledge in the field • Methodology • Research Framework (statement of problem, objective, hypothesis, research question) • Instrument (questionnaire, interview guide, observation guide etc.) • Data Collected • Data Analysis Framework • Practitioner and community
Contribution toward theory and knowledge • This study is expected to contribute toward a theory (e.g. diffusion of innovation) related to the use of technology in organization because findings from previous studies implicate lack of consistencies either in supporting or refuting the theory. • Use of ICT in organization is a developing area and not many studies have really studied Malaysian organizations pertaining to their employees usage of ICT
Contribution toward Methodology • Since not many research were done in this area before, the Research Framework (statement of problem, objective, Hypothesis and Research Questions) use in this study could be use by future researcher who wanted to replicate this study. • The Instrument (questionnaire, interview guide, observation guide etc.) used in this research could be used for future research in the same area.
Contribution toward Practitioner and community • Findings from this research especially on the office and environmental factors that ensure success in job rotation should be a good guide to Human Resource Managers. • Finding from this research should also inform the community of employees in the organization on the important of office and environmental factors to ensure success in job rotation practices.
Limitation of the Study • Topical/subject/field limitation (limited to study of HRD and not on Psychology or management aspect of human resource) • Methodological limitation (Data collection method) • Population and Sample • Time Frame • Area/place of research • Resources Limitation (for example Literature Review is limited to Emerald online database)
Chap. 2:Literature Review • Gather all related and relevant findings from previous studies. • Introduction to the Chapter • Discussion on Theories, models, concepts and philosophy related to the research • Discussion on previous studies related to the topics. Guided by the specific objectives in the study. • Summary of the chapter
What is a Lit Review • What it is not • Not an essay • Not just a mere summary or annotated bibliography or abstract • What it is • Reflection of previous studies • Improve understanding on topic of interest • Status of works done in similar area • Updating you on what have been done in the past
How to do a Literature Review • Locate all related Previous Works on same topic to update you on what have been done. • Highlight the status of Previous research and finding Gaps or opportunities (availability, strength, weaknesses) • Uncertainties and doubts in previous findings • Limitations of previous studies that need to be dealt with • Methodological limitation • Geographical location • Time factor
Chap. 3:Methodology • Research Framework (Qualitative, Quantitative or Experimental) • Place and time of study • Population under study • Unit of analysis • Sample/respondent/informant (qualitative) • Sampling method and sampling framework • Method of Data Collection • Survey using Questionnaire (quantitative) • Interview (qualitative) • Document Analysis • Observation Technique • Determining method of data collection for each objective/research question/hypothesis
Methodology… continue • Research Instrument • Pre-Test and pilot test (quantitative) • Validity and reliability issues • Equipments (video, audio recorder etc.) to be used during data collections • Consent Form • Research Schedules and Timelines
Research Framework • Quantitative (mostly using Deductive Reasoning) - Confirmatory • to research questions that are best answered by collecting and analyzing numerical data (using statistical) • Qualitative (mostly using inductive Reasoning) – Exploratory • Mixed Method – Qualitative and Quantitative • To research questions that are best answered by giving descriptions on how one understand and interpret various aspects in their surroundings • Experimental (mostly using Deductive Reasoning) – Looking at Cause & Effect
Place and Time of Study • To be determined – provide justification • Determined also time to conduct the study because both place and time could determine the outcome of the study
Population and Sample • Determine the population where the study will be conducted • Identify the unit of analysis (individual or group) • Determine the sampling method (simple random method, cluster, stratified, systematic, purposeful/convenient, snow balling etc.) to be used and design the sampling framework
Main types of research methodologies • Survey - Quantitative • Experimental – Quantitative, Qualitative • Correlation - Quantitative • Case study – Quantitative, Qualitative • Historical - Qualitative • Ethnography – Qualitative
Chap. 4 Data Analysis and Interpretation • Present your analysis of data – summarize the relevant findings that are crucial to your study.
Chap. 5 Discussion • Interpret your data to meaningful information that is understandable. • Discussion and comparison with previous studies (focusing on similarities or differences in term of result)
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Research Methodology PPT | Presentation | PDF
Research Methodology PPT |Presentation | PDF: Generally, research is a search for apprehension and research is also explained as a systematic search and a scientific search for data on a particular topic. In other words, research is also called as a skill of scientific investigation. It is a technical term and an academic activity which collects information, organize information and evaluate information. Well, research is a genuine contribution to the present apprehension for its development.
Objectives of Research:
Research discover solutions to problems by applying the procedures of science, the important objective of the research is to discover the hidden truth. Distinct studies of research have distinct objectives and few common objectives are as follows:
- The foremost objective is to achieve thorough knowledge and also understanding with an observed circumstance.
- The second one is to define the frequency of distinct things.
- The next is to test a statement which is assumed to be genuine and that statement is about the casual relationship between variables.
- The last one is to accurately describe the characteristics of a specific individual or a group or a situation.
Research Proposal PPT: Definition and Components
Types of Research:
There are five important types of research and those are as follows:
- Descriptive vs. Analytical
- Applied vs. Fundamental
- Quantitative vs. Qualitative
- Conceptual vs. Empirical
- Few other types of research
- Descriptive vs. Analytical: the surveys and fact-finding investigations of distinct types come under descriptive research. In analytical research, a researcher has to avail data which already exists and has to make an accurate evaluation.
- Applied vs. Fundamental: the objectives of the applied research are to search an answer for the difficulty which is facing by a firm or a society. Theory’s formulation and interference of general principles with particulars are related to fundamental research. The feature of collecting knowledge for the sake of knowledge is best suited to fundamental research.
- Quantitative vs. Qualitative: quantitative measurement of few characteristics which are explained in quantities is nothing but the quantitative research. Well, qualitative research is related to the parameter of quality.
Fig1: Qualitative Information Collections Tools
Fig2: Quantitative Information Collection Tools
4. Conceptual vs. Empirical: the conceptual research is concerned with ideas and theories. Empirical research is perfect when we have the proof which explains that few variables generate a change on other variables in some way or the other.
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5. Few other types of research: Other research type includes few changes when compared with the types of research explained above and those changes occur by depending on the current conditions. So, in this category we can think of the following research:
- Longitudinal research
- Laboratory research
- Simulation research
- Diagnostic research
- Historical research
The Significance of Research:
Few vital avenues of research are as follows:
- The foremost importance of research is that the research on present concepts and theories aid to recognize the applications and range of them.
- It furnishes guidelines for solving difficulties.
- It plays a vital role in business and in industries to increase gain and productivity and also to enhance the quality of goods.
- It leads to the recognizing of modern materials, modern living things and much more.
- The social research aids in searching solutions to social difficulties.
- Research leads to the modern lifestyle and fills it with glory and happiness.
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Research Methodology:
Research methodology is nothing but a systematic way of solving a difficulty. It is the science which studies about carried out procedures of research like describing the research work, explaining the research work and also predicting. All these parameters together are called as a research methodology. It is also explained as a method of study through which we can gain knowledge. Its main objective is to give a work plan about research.
The Importance of Research Methodology:
Designing a methodology is necessary for the difficulty which is going to be solved and the researcher has to do this thing. Research methodology is important because researcher should not only know about the problem but also about the method of solving it. The below points explain us the role of methodology in solving the difficulty, they are:
- It aids in selecting the best method to solve the problem.
- It tells about the output of selected method and its accuracy.
- It aids in knowing the efficiency of the method.
Also See: 14 Principles of Management PPT and PDF
Various Stages of Research:
The various stages involved in research are as below:
- Selecting the topic of research
- Explaining the research problem
- Survey of literature
- Reference collection
- Assessment of present status of selected topic
- Hypotheses and its formulation
- Design of research
- Real investigation
- Analysis of information
- Result’s interpretation
- Report of research
Sociology PPT: Definition, Types, Advantages and Disadvantages
Content of PDF for Research Methodology PPT Presentation
- Introduction
- What is Research Methodology
- Research Methods
- Data Analysis Methods
- Why do research?
- Nature of Research
- What is ‘not’ Research?
- Stages of the research process
- Disadvantages
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Utility of Computational Toxicology at FDA Center for Tobacco Products in Evaluation of Potential Hazards Due to Ingredients in Tobacco Products
2023 FDA Science Forum
FDA's Predictive Toxicology Roadmap outlines key strategies by which new approach methodologies (NAMs), including computational toxicology methods, help shift from animal-derived toxicity results to reliable predictive models that evaluate toxicant hazard characterizations. Computational toxicology offers great promise for supporting hazard assessments of chemicals when associated toxicological data is limited, equivocal or absent. Within the Division of Nonclinical Science (DNCS), Office of Science (OS), Center for Tobacco Products (CTP), the Nonclinical Computational Toxicology Program (NCTP) conducts and translates computational toxicology assessments to evaluate their future role and utility in the toxicology review of new tobacco products. The NCTP seeks to advance regulatory science of tobacco products by including computational toxicology tools, training, and research in the synthesis of evidence regarding respiratory, mutagenic, genotoxic, and carcinogenic hazards associated with ingredients and constituents. The need for computational assessment of tobacco-associated chemicals is based on the scientific assessment of a given chemical’s hazard data or any associated information submitted in a tobacco product application. Computational toxicology models are under constant evaluation for their reliability and validity by NCTP. These methods assist the triage of chemicals towards translation to toxicology assessment with the support of expert judgment. Each computational prediction is evaluated by NCTP using raw computational outputs, supporting data from models, and associated empirical data to make an overall data call or to evaluate submitted data calls. The applied use of computational toxicology tools in DNCS demonstrates that these approaches are useful for identifying potential hazards associated with chemical constituents in tobacco products. Based on applied-use scenarios, NCTP developed frameworks and workflows for triaging chemicals for computational assessment, evaluating and interpreting predictions, and recording and reporting data summaries. Strategies are under development to ensure validation and improve predictivity of applied computational toxicology models and to construct fit-for-purpose training datasets to achieve improved tobacco hazard assessments. DNCS engages in computational toxicology to provide innovative, reliable, and efficient NAMs to support traditional toxicology hazard assessments in the regulatory environment. NCTP aspires to bring data-driven computational approaches to the forefront, augmenting the quality and efficiency of the toxicological assessment of tobacco product associated hazards.
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- Half of Latinas Say Hispanic Women’s Situation Has Improved in the Past Decade and Expect More Gains
Methodology
Table of contents.
- Assessing the progress of Hispanic women in the last 10 years
- Views of Hispanic women’s situation in the next 10 years
- Views on the gender pay gap
- Latinas’ educational attainment
- Latinas’ labor force participation
- Latinas’ earnings
- Latinas as breadwinners in their relationships
- Bachelor’s degrees among Latinas
- Labor force participation rates among Latinas
- Occupations among working Latinas
- Earnings among Latinas
- Latinas as breadwinners in 2022
- Appendix: Supplemental charts and tables
- Acknowledgments
- The American Trends Panel survey methodology
- Methodology for the analysis of the Current Population Survey
The American Trends Panel (ATP), created by Pew Research Center, is a nationally representative panel of randomly selected U.S. adults. Panelists participate via self-administered web surveys. Panelists who do not have internet access at home are provided with a tablet and wireless internet connection. Interviews are conducted in both English and Spanish. The panel is being managed by Ipsos.
Data in this report is drawn from ATP Wave 138, conducted from Nov. 6 to Nov. 19, 2023, among a sample of U.S. adults who identify as Hispanic. A total of 5,078 panelists responded out of 8,720 who were sampled, for a response rate of 61% (AAPOR RR3). This included 1,524 respondents from the ATP and an additional 3,554 from Ipsos’ KnowledgePanel (KP). The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 1%. The break-off rate among panelists who logged on to the survey and completed at least one item is 3%. The margin of sampling error for the full sample of 5,078 respondents is plus or minus 2.0 percentage points.
Panel recruitment
The ATP was created in 2014, with the first cohort of panelists invited to join the panel at the end of a large, national, landline and cellphone random-digit-dial survey that was conducted in both English and Spanish. Two additional recruitments were conducted using the same method in 2015 and 2017, respectively. Across these three surveys, a total of 19,718 adults were invited to join the ATP, of whom 9,942 (50%) agreed to participate.
In August 2018, the ATP switched from telephone to address-based sampling (ABS) recruitment. A study cover letter and a pre-incentive are mailed to a stratified, random sample of households selected from the U.S. Postal Service’s Delivery Sequence File. This Postal Service file has been estimated to cover as much as 98% of the population, although some studies suggest that the coverage could be in the low 90% range. 2 Within each sampled household, the adult with the next birthday is asked to participate. Other details of the ABS recruitment protocol have changed over time but are available upon request. 3
We have recruited a national sample of U.S. adults to the ATP approximately once per year since 2014. In some years, the recruitment has included additional efforts (known as an “oversample”) to boost sample size with underrepresented groups. For example, Hispanic adults, Black adults and Asian adults were oversampled in 2019, 2022 and 2023, respectively.
Across the six address-based recruitments, a total of 23,862 adults were invited to join the ATP, of whom 20,917 agreed to join the panel and completed an initial profile survey. Of the 30,859 individuals who have ever joined the ATP, 11,936 remained active panelists and continued to receive survey invitations at the time this survey was conducted.
The American Trends Panel never uses breakout routers or chains that direct respondents to additional surveys.
Sample design
The overall target population for this survey was noninstitutionalized persons ages 18 and older living in the U.S., including Alaska and Hawaii who identify as Hispanic. All eligible members of the ATP and a random subsample of eligible members from Ipsos’ KnowledgePanel were invited to participate in this wave.
Questionnaire development and testing
The questionnaire was developed by Pew Research Center in consultation with Ipsos. The web program was rigorously tested on both PC and mobile devices by the Ipsos project management team and Pew Research Center researchers. The Ipsos project management team also populated test data that was analyzed in SPSS to ensure the logic and randomizations were working as intended before launching the survey.
All ATP respondents were offered a post-paid incentive for their participation. ATP respondents could choose to receive the post-paid incentive in the form of a check or a gift code to Amazon.com or could choose to decline the incentive. Incentive amounts ranged from $5 to $20 depending on whether the respondent belongs to a part of the population that is harder or easier to reach. Differential incentive amounts were designed to increase panel survey participation among groups that traditionally have low survey response propensities.
Ipsos operates an ongoing modest incentive program for KnowledgePanel to encourage participation and create member loyalty. The incentive program includes special raffles and sweepstakes with both cash rewards and other prizes to be won. Typically, panel members are assigned no more than one survey per week. On average, panel members complete two to three surveys per month with durations of 10 to 15 minutes per survey. An additional incentive is usually provided for longer surveys. For this survey, during the last few days of data collection, KnowledgePanel members who self-identified as Black were offered 10,000 points (equivalent to $10) in addition to the regular incentive program in an attempt to boost the number of responses from panel members who identified as Black American.
Data collection protocol
The data collection field period for this survey was Nov. 6 to Nov. 19, 2023. Postcard notifications were mailed to all ATP panelists with a known residential address on Nov. 6.
Invitations were sent out in two separate launches: soft launch and full launch. Sixty ATP panelists and 409 KP panelists were included in the soft launch, which began with an initial invitation sent on Nov 6. The ATP panelists chosen for the initial soft launch were known responders who had completed previous ATP surveys within one day of receiving their invitation. All remaining English- and Spanish-speaking sampled panelists were included in the full launch and were sent an invitation on Nov. 7.
All panelists with an email address received an email invitation and up to four email reminders if they did not respond to the survey. All ATP panelists who consented to SMS messages received an SMS invitation and up to four SMS reminders.
Data quality checks
To ensure high-quality data, the Center’s researchers performed data quality checks to identify any respondents showing clear patterns of satisficing. This includes checking for whether respondents left questions blank at very high rates or always selected the first or last answer presented. As a result of this checking, six respondents were removed from the survey dataset prior to weighting and analysis. Another four respondents were removed from the survey dataset after providing feedback that they were not Hispanic, and therefore not eligible for the survey.
The ATP data is weighted in a multistep process that accounts for multiple stages of sampling and nonresponse that occur at different points in the survey process. First, each panelist begins with a base weight that reflects their probability of selection for their initial recruitment survey. These weights are then rescaled and adjusted to account for changes in the design of ATP recruitment surveys from year to year. Finally, the weights are calibrated to align with the population benchmarks in the accompanying table to correct for nonresponse to recruitment surveys and panel attrition. If only a subsample of panelists was invited to participate in the wave, this weight is adjusted to account for any differential probabilities of selection.
Among the panelists who completed the survey, this weight is then calibrated again to align with the population benchmarks identified in the accompanying table and trimmed at the 1st and 99th percentiles to reduce the loss in precision stemming from variance in the weights. Sampling errors and tests of statistical significance take into account the effect of weighting.
The following table shows the unweighted sample sizes and the error attributable to sampling that would be expected at the 95% level of confidence for different groups in the survey.
Sample sizes and sampling errors for other subgroups are available upon request. In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.
Dispositions and response rates
This report’s demographic analysis is based on microdata from the U.S. Census Bureau’s and Bureau of Labor Statistics’ 2003, 2008, 2013, 2018 and 2023 Current Population Survey Monthly and Annual Social and Economic Supplement (ASEC) data series, provided through the Integrated Public Use Microdata Series (IPUMS) from the University of Minnesota.
The ASEC data series was used to create the following measures:
- Those participating in the labor force either were at work; held a job but were temporarily absent from work due to factors like vacation or illness; were seeking work; or were temporarily laid off from a job in the week before taking the Current Population Survey. In this report, the labor force participation rate is shown only for civilians ages 25 to 64.
- The phrases living with children or living with their own child describe individuals living with at least one of their own stepchildren, adopted children or biological children, regardless of the children’s ages. The phrases not living with children or not living with their own child describe individuals who have no children or whose children do not live with them.
- Occupation and occupational groups describe the occupational category of someone’s current job, or – if unemployed – most recent job. In this report we measure occupation among civilians participating in the labor force. Occupational groups are adapted from the U.S. Census Bureau’s occupation classification list from 2018 onward .
- Breadwinners refer to those living with a spouse or partner, both ages 25 to 64, who make over 60% of their and their partner’s combined, positive income from all sources. Those in egalitarian relationships make 40% to 60% of the combined income. For those who make less than 40% of the combined income, their spouse or partner is the breadwinner . This analysis was conducted among both opposite-sex and same-sex couples.
The CPS Monthly microdata series was used only to calculate median hourly wages for those ages 25 to 64 years old and who were not self-employed. Medians were calculated for the whole year by considering all wages reported in that year, regardless of month. Median wages for years prior to 2023 were then adjusted to June 2023 dollars using the Chained Consumer Price Index for All Urban Consumers for June of each year.
- AAPOR Task Force on Address-based Sampling. 2016. “ AAPOR Report: Address-based Sampling .” ↩
- Email [email protected] . ↩
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Research Methods Lesson Infographics
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Studying science sounds amazing, as its many fields and branches tell us how and why life is as it is. Research methods are very important, and if you're giving a presentation on this matter, you'll probably need to show lots of data. Use graphs, maps, tables and overview diagrams to support your lecture in a visual way with this selection of editable infographics, whose elements are very thematic!
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Researchers develop method to monitor patients with spinal muscular atrophy using sound waves
by Friedrich–Alexander University Erlangen–Nurnberg
Spinal muscular atrophy (SMA) is a terrible disease in which a genetic mutation causes certain nerves responsible for sending signals to muscles to degenerate. This leads to muscles wasting away, and many patients have died a painful death due to this rare condition. Genetic treatments have only been available for a few years.
Now, a team led by Emmanuel Nedoschill, Ferdinand Knieling and Adrian Regensburger from the Translational Pediatrics working group at the Department of Pediatrics and Adolescent Medicine at Uniklinikum Erlangen have devised an elaborate procedure that shows promising results when used in combination with these treatments: short laser pulses create sound waves that then provide images of the muscle tissue.
The have published a paper on their findings in the journal Med .
"This method is similar to ultrasound scans that have been in use for a long time already," explains Nedoschill. "In just a few minutes, a scan taken outside the body can provide an image of the condition of the muscles inside the body."
One major advantage of this optical-acoustic imaging method is that even small children tend to cooperate without too much fuss as it is a non-surgical procedure that does not involve swallowing or injecting contrast agent or the like. That not only makes it easier for the medical team, it also improves the situation for the children and their parents during their stay at hospital.
The situation is usually incredibly stressful for those affected anyway. The disease is caused by only a slight change in the genome in the blueprint for a protein named "SNM," but the lack of this protein leads to the degeneration of certain nerves that are responsible for transferring signals to muscle cells. The affected muscles waste away. Lay persons can find it very upsetting to be faced with discussions on the consequences and the various ways in which the disease can progress.
One category is the "walkers," who are still capable of taking a few steps by themselves. The situation for the "sitters" is considerably worse. Without help, they are only capable of sitting, but cannot stand up by themselves. Worst of all, however, are the "non-sitters," who are not even able to sit anymore. If the muscles that are required for swallowing or breathing are affected, the disease can have fatal consequences.
Luckily, only 1 in approximately 10,000 newborns has the SNM genetic mutation. However, the suffering of those who are affected is so great that any improvement to the treatments available constitutes a major breakthrough, as is the case with the treatment known as "optoacoustic imaging" or "OAI" researched at the Department of Pediatrics and Adolescent Medicine at Uniklinikum Erlangen.
These treatments, which have only been available for a few years now, have led to significant breakthroughs in this disorder which was largely untreatable beforehand. Notable improvements have even been achieved in the most severe cases referred to as "non-sitters."
However, until now the only way to keep track of this success involves strenuous movement tests, that can last for several days. The very nature of the tests can also jeopardize their objectivity. Some people may make more effort than others, leading to better results in some children than in others. The mood of the children can also vary day to day, influencing the results of the tests.
The OAI procedure with its short laser pulses using near infrared light can significantly increase the objectivity of these observations. These pulses of light heat the affected tissue, which then emits sound waves that can give important information on the various structures within the patient's body. Tissue, for example, consists of collagen proteins that return a different spectrum of sound waves than muscles or fatty tissue.
"In muscles, we can identify the spectrum of hemoglobin in red blood cells that is responsible for transporting oxygen to the organism and removing carbon dioxide," explains Nedoschill. The more muscle cells there are and the more active they are, the more oxygen they require to do their job.
If the researcher from Uniklinikum Erlangen sees a lot of hemoglobin, he knows that this means that the muscle mass is considerable. On the other hand, if muscles are wasting away and becoming replaced with connective tissue, the three-dimensional images show how the disease is progressing and leading to greater quantities of collagen, thereby documenting the wasting of muscle mass.
This provides doctors such as Nedoschill with a tool that is as quick and easy to use as an ultrasound scan and delivers impressive images of how muscles and connective tissue come and go.
The research conducted in Erlangen based on tracking hemoglobin has indicated that children suffering from SMA have considerably less muscle tissue than the healthy control group. After receiving the life-saving genetic therapy, however, the concentration of hemoglobin increases, the muscles that had wasted away start to recover and the ultrasound signals soon start to be similar to those from healthy organisms.
Thanks to research at the Department of Pediatrics and Adolescent Medicine in Erlangen, a relatively straightforward tool is now available for monitoring the progress of the muscle-wasting disease and the success of treatment.
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Using AI to improve building energy use and comfort
University of Waterloo researchers have developed a new method that can lead to significant energy savings in buildings. The team identified 28 major heat loss regions in a multi-unit residential building with the most severe ones being at wall intersections and around windows. A potential energy savings of 25 per cent is expected if 70 per cent of the discovered regions are fixed.
Building enclosures rely on heat and moisture control to avoid significant energy loss due to airflow leakage, which makes buildings less comfortable and more costly to maintain. This problem will likely be compounded by climate change due to volatile temperature fluctuations. Since manual inspection is time-consuming and infrequently done due to a lack of trained personnel, energy inefficiency becomes a widespread problem for buildings.
Researchers at Waterloo, which is a leader in sustainability research and education and a catalyst for environmental innovation, solutions and talent, created an autonomous, real-time platform to make buildings more energy efficient. The platform combines artificial intelligence, infrared technology, and a mathematical model that quantifies heat flow to better identify areas of heat loss in buildings.
Using the new method, the researchers conducted an advanced study on a multi-unit residential building in the extreme climate of Canadian prairies, where elderly residents reported discomfort and higher electricity bills due to increased demand for heating in their units. Using AI tools, the team trained the program to examine thermal images in real time, achieving 81 percent accuracy in detecting regions of heat loss in the building envelope.
"The almost 10 per cent increase in accuracy with this AI-based model is impactful, as it enhances occupants' comfort as well as reduces energy bills," said Dr. Mohamad Araji, director of Waterloo's Architectural Engineering Program and head of the Symbiosis Lab, an interdisciplinary group at the university that specializes in developing innovative building systems and building more environmentally friendly buildings.
The new AI tools helped to remove the element of human error in examining the results and increased the speed of getting the data analyzed by a factor of 12 compared to traditional building inspection methods.
Future expansions to this work will include utilizing drones equipped with cameras to inspect high-rise buildings.
"The hope is that our methodology can be used to analyze buildings and lead to millions in energy savings in a much faster way than previously possible," Araji said.
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Materials provided by University of Waterloo . Note: Content may be edited for style and length.
Journal Reference :
- Ali Waqas, Mohamad T. Araji. Machine learning-aided thermography for autonomous heat loss detection in buildings . Energy Conversion and Management , 2024; 304: 118243 DOI: 10.1016/j.enconman.2024.118243
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May 13, 2024
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Smaller laser facility uses new method to exceed previous record for proton acceleration
by Simon Schmitt, Helmholtz Association of German Research Centres
The Helmholtz-Zentrum Dresden-Rossendorf (HZDR) has made a significant advance in laser plasma acceleration. By employing an innovative method, a research team managed to substantially exceed the previous record for proton acceleration.
For the first time, they achieved energies that so far have only seemed possible at much larger facilities. As the research group reports in the journal Nature Physics , promising applications in medicine and materials science have now become much likelier.
Laser plasma acceleration opens up interesting perspectives: compared to conventional accelerators, it holds the promise of more compact, more energy-efficient facilities—because instead of employing powerful radio waves to get particles moving, the new technology uses lasers to accelerate them.
The principle is that extremely short but high-intensity laser pulses fire on wafer-thin foils. The light heats up the material to such an extent that countless electrons emerge from it while the atomic cores remain in place.
As the electrons are negatively charged and the atomic cores are positive, a strong electric field is formed between them for a short time. This field can catapult a proton pulse over only a few micrometers to energies that would require substantially longer distances using conventional accelerator technology.
This technology, however, is still at the research stage: so far, it has only been possible to achieve proton energies of up to 100 MeV and only by using extremely large laser systems of which there are just a few in the world.
In order to achieve similarly high accelerator energies with smaller laser facilities and shorter pulses the team of HZDR physicists Karl Zeil and Tim Ziegler pursued a new approach. They harness a property of laser flashes that is generally seen as a flaw. "A pulse's energy doesn't kick in immediately, which would be the ideal case," reports Ziegler. "Instead, a little of the laser energy rushes ahead of it, like a kind of vanguard."
Suddenly transparent
In the new concept, it is this light rushing ahead that plays a key role. When it hits a specially manufactured plastic foil in a vacuum chamber , it can change it in a specific way. "The foil expands due to the influence of the light and gets ever hotter and thinner," Ziegler explains. "The foil effectively melts during the heating process."
This has a positive impact on the primary pulse which follows on immediately: The foil, which would otherwise largely reflect the light, suddenly becomes transparent which allows the primary pulse to penetrate more deeply into the material that it did in previous experiments.
"The result is that a complex cascade of acceleration mechanisms is triggered in the material," says Ziegler, "causing the protons contained in the film to be accelerated much more than they were by our DRACO laser."
Whereas the facility previously achieved proton energies of approximately 80 MeV, it can now generate 150 MeV—almost double. To achieve this record, the team had to conduct a series of experiments to approach the perfect interaction parameters, for example regarding the optimum thickness of the films used.
When analyzing the measurement data, the research group discovered that the accelerated particle beam had another pleasing property: The high-energy protons exhibit a narrow energy distribution, meaning that, figuratively speaking, they are all about equally fast—an advantageous feature for later applications—for which high, uniform proton energies are extremely beneficial.
Advantage: Energy efficiency
One of these applications is to investigate new radiobiological concepts for precise, gentle tumor treatment. Using this method, very high doses of radiation are applied for a very short period. For these studies, up to now, large-scale conventional therapy accelerators have mainly been used which are only available at a few centers in Germany and which are, of course, prioritized for patient treatment.
The new HZDR procedure now renders the use of compact laser systems more likely, enabling additional research groups to access these investigations and facilitate radiation scenarios, that conventional systems cannot deliver. "Moreover, today's facilities need a lot of power," says Ziegler. "Based on laser plasma acceleration they could be much more economical."
The procedure could also be used for the efficient generation of neutrons. The laser flashes can be employed to produce short, intense neutron pulses, which are of interest for use in science and technology as well as for materials analysis.
Here, too, plasma accelerators promise to significantly expand the previous fields of application. But first of all, the scientists want to refine the new method and understand it better. Among other things, they want to cooperate with other laboratories to control the process more precisely and make the technology more available. And further records are also on the agenda: energies of more than 200 MeV seem entirely possible.
Journal information: Nature Physics
Provided by Helmholtz Association of German Research Centres
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