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Guide for Thesis Research

• Introduction to the Thesis Process
• Project Planning
• Literature Review
• Theoretical Frameworks
• Research Methodology
• GC Honors Program Theses
• Thesis Submission Instructions This link opens in a new window
• Accessing Guilford Theses from 1898 to 2020 This link opens in a new window

Basics of Methodology

Research is a process of inquiry that is carried out in a pondered, organized, and strategic manner. In order to obtain high quality results, it is important to understand methodology.

Research methodology refers to how your project will be designed, what you will observe or measure, and how you will collect and analyze data. The methods you choose must be appropriate for your field and for the specific research questions you are setting out to answer.

A strong understanding of methodology will help you:

• apply appropriate research techniques
• design effective data collection instruments
• analyze and interpret your data
• develop well-founded conclusions

Below, you will find resources that mostly cover general aspects of research methodology. In the left column, you will find resources that specifically cover qualitative, quantitative, and mixed methods research.

General Works on Methodology

Qualitative Research

Quantitative Research

Mixed Methods Research

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• Last Updated: Jan 23, 2024 4:31 PM
• URL: https://library.guilford.edu/thesis-guide

Writing the Research Methodology Section of Your Thesis

This article explains the meaning of research methodology and the purpose and importance of writing a research methodology section or chapter for your thesis paper. It discusses what to include and not include in a research methodology section, the different approaches to research methodology that can be used, and the steps involved in writing a robust research methodology section.

What is a thesis research methodology?

A thesis research methodology explains the type of research performed, justifies the methods that you chose   by linking back to the literature review , and describes the data collection and analysis procedures. It is included in your thesis after the Introduction section . Most importantly, this is the section where the readers of your study evaluate its validity and reliability.

What should the research methodology section in your thesis include?

• The aim of your thesis
• An outline of the research methods chosen (qualitative, quantitative, or mixed methods)
• Background and rationale for the methods chosen, explaining why one method was chosen over another
• Methods used for data collection and data analysis
• Materials and equipment used—keep this brief
• Difficulties encountered during data collection and analysis. It is expected that problems will occur during your research process. Use this as an opportunity to demonstrate your problem-solving abilities by explaining how you overcame all obstacles. This builds your readers’ confidence in your study findings.
• A brief evaluation of your research explaining whether your results were conclusive and whether your choice of methodology was effective in practice

What should not be included in the research methodology section of your thesis?

• Irrelevant details, for example, an extensive review of methodologies (this belongs in the literature review section) or information that does not contribute to the readers’ understanding of your chosen methods
• A description of basic procedures
• Excessive details about materials and equipment used. If an extremely long and detailed list is necessary, add it as an appendix

Types of methodological approaches

The choice of which methodological approach to use depends on your field of research and your thesis question. Your methodology should establish a clear relationship with your thesis question and must also be supported by your  literature review . Types of methodological approaches include quantitative, qualitative, or mixed methods. 

Quantitative studies generate data in the form of numbers   to count, classify, measure, or identify relationships or patterns. Information may be collected by performing experiments and tests, conducting surveys, or using existing data. The data are analyzed using  statistical tests and presented as charts or graphs. Quantitative data are typically used in the Sciences domain.

For example, analyzing the effect of a change, such as alterations in electricity consumption by municipalities after installing LED streetlights.

The raw data will need to be prepared for statistical analysis by identifying variables and checking for missing data and outliers. Details of the statistical software program used (name of the package, version number, and supplier name and location) must also be mentioned.

Qualitative studies gather non-numerical data using, for example, observations, focus groups, and in-depth interviews.   Open-ended questions are often posed. This yields rich, detailed, and descriptive results. Qualitative studies are usually   subjective and are helpful for investigating social and cultural phenomena, which are difficult to quantify. Qualitative studies are typically used in the Humanities and Social Sciences (HSS) domain.

For example, determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays.

The raw data will need to be prepared for analysis by coding and categorizing ideas and themes to interpret the meaning behind the responses given.

Mixed methods use a combination of quantitative and qualitative approaches to present multiple findings about a single phenomenon. T his enables triangulation: verification of the data from two or more sources.

Data collection

Explain the rationale behind the sampling procedure you have chosen. This could involve probability sampling (a random sample from the study population) or non-probability sampling (does not use a random sample).

For quantitative studies, describe the sampling procedure and whether statistical tests were used to determine the  sample size .

Following our example of analyzing the changes in electricity consumption by municipalities after installing LED streetlights, you will need to determine which municipal areas will be sampled and how the information will be gathered (e.g., a physical survey of the streetlights or reviewing purchase orders).

For qualitative research, describe how the participants were chosen and how the data is going to be collected.

Following our example about determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays, you will need to decide the criteria for inclusion as a study participant (e.g., women aged 20–70 years, bakeries, and bakery supply shops) and how the information will be collected (e.g., interviews, focus groups, online or in-person questionnaires, or video recordings) .

Data analysis

For quantitative research, describe what tests you plan to perform and why you have chosen them. Popular data analysis methods in quantitative research include:

• Descriptive statistics (e.g., means, medians, modes)
• Inferential statistics (e.g., correlation, regression, structural equation modeling)

For qualitative research, describe how the data is going to be analyzed and justify your choice. Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Grounded theory
• Interpretative phenomenological analysis (IPA)

Evaluate and justify your methodological choices

You need to convince the reader that you have made the correct methodological choices. Once again, this ties back to your thesis question and  literature review . Write using a persuasive tone, and use  rhetoric to convince the reader of the quality, reliability, and validity of your research.

Ethical considerations

• The young researcher should maintain objectivity at all times
• All participants have the right to privacy and anonymity
• Research participation must be voluntary
• All subjects have the right to withdraw from the research at any time
• Consent must be obtained from all participants before starting the research
• Confidentiality of data provided by individuals must be maintained
• Consider how the interpretation and reporting of the data will affect the participants

Tips for writing a robust thesis research methodology

• Determine what kind of knowledge you are trying to uncover. For example, subjective or objective, experimental or interpretive.
• A thorough literature review is the best starting point for choosing your methods.
• Ensure that there is continuity throughout the research process. The authenticity of your research depends upon the validity of the research data, the reliability of your data measurements, and the time taken to conduct the analysis.
• Choose a research method that is achievable. Consider the time and funds available, feasibility, ethics, and access and availability of equipment to measure the phenomenon or answer your thesis question correctly.
• If you are struggling with a concept, ask for help from your supervisor, academic staff members, or fellow students.

A thesis methodology justifies why you have chosen a specific approach to address your thesis question. It explains how you will collect the data and analyze it. Above all, it allows the readers of your study to evaluate its validity and reliability.

A thesis is the most crucial document that you will write during your academic studies. For professional thesis editing and thesis proofreading services, visit  Enago Thesis Editing for more information.

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Introduce your methodological approach , for example, quantitative, qualitative, or mixed methods.

Explain why your chosen approach is relevant to the overall research design and how it links with your  thesis question.

Justify your chosen method and why it is more appropriate than others.

Provide background information on methods that may be unfamiliar to readers of your thesis.

Introduce the tools that you will use for data collection , and explain how you plan to use them (e.g., surveys, interviews, experiments, or existing data).

Explain how you will analyze your results. The type of analysis used depends on the methods you chose. For example, exploring theoretical perspectives to support your explanation of observed behaviors in a qualitative study or using statistical analyses in a quantitative study.

Mention any research limitations. All studies are expected to have limitations, such as the sample size, data collection method, or equipment. Discussing the limitations justifies your choice of methodology despite the risks. It also explains under which conditions the results should be interpreted and shows that you have taken a holistic approach to your study.

What is the difference between methodology and methods? +

Methodology  refers to the overall rationale and strategy of your thesis project. It involves studying the theories or principles behind the methods used in your field so that you can explain why you chose a particular method for your research approach.  Methods , on the other hand, refer to how the data were collected and analyzed (e.g., experiments, surveys, observations, interviews, and statistical tests).

What is the difference between reliability and validity? +

Reliability refers to whether a measurement is consistent (i.e., the results can be reproduced under the same conditions).  Validity refers to whether a measurement is accurate (i.e., the results represent what was supposed to be measured). For example, when investigating linguistic and cultural guidelines for administration of the Preschool Language Scales, Fifth Edition (PLS5) in Arab-American preschool children, the normative sample curves should show the same distribution as a monolingual population, which would indicate that the test is valid. The test would be considered reliable if the results obtained were consistent across different sampling sites.

What tense is used to write the methods section? +

The methods section is written in the past tense because it describes what was done.

What software programs are recommended for statistical analysis? +

Recommended programs include Statistical Analysis Software (SAS) ,  Statistical Package for the Social Sciences (SPSS) ,  JMP ,  R software,  MATLAB , Microsoft Excel,  GraphPad Prism , and  Minitab .

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Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

Academic conferences are expensive and it can be tough finding the funds to go; this naturally leads to the question of are academic conferences worth it?

The term research instrument refers to any tool that you may use to collect, measure and analyse research data.

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An abstract and introduction are the first two sections of your paper or thesis. This guide explains the differences between them and how to write them.

Fabian’s in the final year of his PhD research at Maastricht University. His project is about how humans learn numbers and how hands might help that process; this is especially useful for children developing their maths skills.

Dr Dillon gained her PhD in Molecular Cancer Studies at the University of Manchester in 2015. She now works at a biotech company called HairClone, optimising treatments for androgenic alopecia.

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Think of yourself as a member of a jury, listening to a lawyer who is presenting an opening argument. You'll want to know very soon whether the lawyer believes the accused to be guilty or not guilty, and how the lawyer plans to convince you. Readers of academic essays are like jury members: before they have read too far, they want to know what the essay argues as well as how the writer plans to make the argument. After reading your thesis statement, the reader should think, "This essay is going to try to convince me of something. I'm not convinced yet, but I'm interested to see how I might be."

An effective thesis cannot be answered with a simple "yes" or "no." A thesis is not a topic; nor is it a fact; nor is it an opinion. "Reasons for the fall of communism" is a topic. "Communism collapsed in Eastern Europe" is a fact known by educated people. "The fall of communism is the best thing that ever happened in Europe" is an opinion. (Superlatives like "the best" almost always lead to trouble. It's impossible to weigh every "thing" that ever happened in Europe. And what about the fall of Hitler? Couldn't that be "the best thing"?)

A good thesis has two parts. It should tell what you plan to argue, and it should "telegraph" how you plan to argue—that is, what particular support for your claim is going where in your essay.

Steps in Constructing a Thesis

First, analyze your primary sources.  Look for tension, interest, ambiguity, controversy, and/or complication. Does the author contradict himself or herself? Is a point made and later reversed? What are the deeper implications of the author's argument? Figuring out the why to one or more of these questions, or to related questions, will put you on the path to developing a working thesis. (Without the why, you probably have only come up with an observation—that there are, for instance, many different metaphors in such-and-such a poem—which is not a thesis.)

Once you have a working thesis, write it down.  There is nothing as frustrating as hitting on a great idea for a thesis, then forgetting it when you lose concentration. And by writing down your thesis you will be forced to think of it clearly, logically, and concisely. You probably will not be able to write out a final-draft version of your thesis the first time you try, but you'll get yourself on the right track by writing down what you have.

Keep your thesis prominent in your introduction.  A good, standard place for your thesis statement is at the end of an introductory paragraph, especially in shorter (5-15 page) essays. Readers are used to finding theses there, so they automatically pay more attention when they read the last sentence of your introduction. Although this is not required in all academic essays, it is a good rule of thumb.

Anticipate the counterarguments.  Once you have a working thesis, you should think about what might be said against it. This will help you to refine your thesis, and it will also make you think of the arguments that you'll need to refute later on in your essay. (Every argument has a counterargument. If yours doesn't, then it's not an argument—it may be a fact, or an opinion, but it is not an argument.)

This statement is on its way to being a thesis. However, it is too easy to imagine possible counterarguments. For example, a political observer might believe that Dukakis lost because he suffered from a "soft-on-crime" image. If you complicate your thesis by anticipating the counterargument, you'll strengthen your argument, as shown in the sentence below.

Some Caveats and Some Examples

A thesis is never a question.  Readers of academic essays expect to have questions discussed, explored, or even answered. A question ("Why did communism collapse in Eastern Europe?") is not an argument, and without an argument, a thesis is dead in the water.

A thesis is never a list.  "For political, economic, social and cultural reasons, communism collapsed in Eastern Europe" does a good job of "telegraphing" the reader what to expect in the essay—a section about political reasons, a section about economic reasons, a section about social reasons, and a section about cultural reasons. However, political, economic, social and cultural reasons are pretty much the only possible reasons why communism could collapse. This sentence lacks tension and doesn't advance an argument. Everyone knows that politics, economics, and culture are important.

A thesis should never be vague, combative or confrontational.  An ineffective thesis would be, "Communism collapsed in Eastern Europe because communism is evil." This is hard to argue (evil from whose perspective? what does evil mean?) and it is likely to mark you as moralistic and judgmental rather than rational and thorough. It also may spark a defensive reaction from readers sympathetic to communism. If readers strongly disagree with you right off the bat, they may stop reading.

An effective thesis has a definable, arguable claim.  "While cultural forces contributed to the collapse of communism in Eastern Europe, the disintegration of economies played the key role in driving its decline" is an effective thesis sentence that "telegraphs," so that the reader expects the essay to have a section about cultural forces and another about the disintegration of economies. This thesis makes a definite, arguable claim: that the disintegration of economies played a more important role than cultural forces in defeating communism in Eastern Europe. The reader would react to this statement by thinking, "Perhaps what the author says is true, but I am not convinced. I want to read further to see how the author argues this claim."

A thesis should be as clear and specific as possible.  Avoid overused, general terms and abstractions. For example, "Communism collapsed in Eastern Europe because of the ruling elite's inability to address the economic concerns of the people" is more powerful than "Communism collapsed due to societal discontent."

Copyright 1999, Maxine Rodburg and The Tutors of the Writing Center at Harvard University

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• PhD/Doctorate

What are acceptable dissertation research methods?

August 16, 2023

Reading time:  3–4 minutes

Doctoral research is the cornerstone of a PhD program .

In order to write a dissertation, you must complete extensive, detailed research. Depending on your area of study, different types of research methods will be appropriate to complete your work.

“The choice of research method depends on the questions you hope to answer with your research,” says Curtis Brant, PhD, Capella University dean of research and scholarship.

Once you’ve identified your research problem, you’ll employ the methodology best suited for solving the problem.

There are two primary dissertation research methods: qualitative and quantitative.

Qualitative

Qualitative research focuses on examining the topic via cultural phenomena, human behavior or belief systems. This type of research uses interviews, open-ended questions or focus groups to gain insight into people’s thoughts and beliefs around certain behaviors and systems.

Dr. Brant says there are several approaches to qualitative inquiry. The three most routinely used include:

Generic qualitative inquiry. The researcher focuses on people’s experiences or perceptions in the real world. This often includes, but is not limited to, subjective opinions, attitudes and beliefs .

Case study. The researcher performs an in-depth exploration of a program, event, activity or process with an emphasis on the experience of one or more individuals. The focus of this kind of inquiry must be defined and often includes more than one set of data, such as interviews and field notes, observations or other qualitative data.

Phenomenological. The researcher identifies lived experiences associated with how an individual encounters and engages with the real world .

Qualitative research questions seek to discover:

• A participant’s verbal descriptions of a phenomenon being investigated
•  A researcher’s observations of the phenomenon being investigated
• An integrated interpretation of participant’s descriptions and researchers observations

Quantitative

Quantitative research involves the empirical investigation of observable and measurable variables. It is used for theory testing, predicting outcomes or determining relationships between and among variables using statistical analysis.

According to Dr. Brant, there are two primary data sources for quantitative research.

Surveys: Surveys involve asking people a set of questions, usually testing for linear relationships, statistical differences or statistical independence. This approach is common in correlation research designs.

Archival research (secondary data analysis). Archival research involves using preexisting data to answer research questions instead of collecting data from active human participants.

Quantitative research questions seek to address:

• Descriptions of variables being investigated
• Measurements of relationships between (at least two) variables
• Differences between two or more groups’ scores on a variable or variables

Which method should you choose?

Choosing a qualitative or quantitative methodology for your research will be based on the nature of the questions you ask, the preferred method in your field, the feasibility of the approach and other factors. Many programs offer doctoral mentors and support teams that can help guide you throughout the process.

Capella University offers PhD and professional doctorate degree programs ranging from business to education and health to technology. Learn more about Capella doctoral programs and doctoral support.

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Types of Theses

Three types of gallatin ma theses.

Each graduate student in the Gallatin School completes a final thesis as the culmination of their work toward a Master of Arts degree. The thesis may take one of three forms: a research thesis, an artistic thesis, or a project thesis. In each case, the thesis represents a synthesis of the student’s accumulated knowledge and skill and an opportunity to display the ideas, practices and skills learned through the program. While the master’s thesis, unlike a doctoral dissertation, does not have to create new knowledge or break new ground, it does display the student’s ability to go beyond the mere collection of information into synthesis, analysis, judgment and interpretation. Moreover, it should demonstrate the student’s familiarity with a substantial body of thought and literature and illustrate mastery of some self-chosen field of study.

Below you will find descriptions of the three types of theses: 

Research Thesis

Artistic thesis, project thesis.

Current MA students who are interested in seeing sample theses should consult the Gallatin Master's Thesis Archive , which is accessible with an NYU Net ID.

Students pursuing the research option produce and defend a substantial research essay, the thesis of which is demonstrably related to the student’s course of study and ongoing conversations with the primary adviser. The adviser and defense panelists are the ultimate arbiters of whether the thesis satisfies a reasonable understanding of a project worthy of the master’s degree. However, in general and at minimum, a successful Gallatin MA research thesis demonstrates sufficient mastery of relevant academic fields as well as a critical grasp of the scholarship and methods that currently define those fields. The thesis essay is a logically-constructed argument that presents its central points on the basis of research and critical interpretation. The sources and objects of study may cover the spectrum from archival materials to critical theory to statistical surveys and personal interviews, but the student should carefully choose sources in consultation with the primary adviser, and with reference to questions about what constitutes legitimate source within the student’s field(s). The research thesis essay must be more than a "review of the literature" but the demand for original findings is lower than that faced by doctoral candidates. Significantly original contributions are of course highly commendable, but the excellence of an MA research thesis essay may lie in its critical and creative synthesis, articulation of a fresh perspective on the work of others, or identification of new, research-based questions that themselves shed light on existing problems within fields. Generally speaking, the final research thesis essay should be at least 50 pages and not exceed 80 pages (not including appendices and bibliographic material). Students and advisers are encouraged to talk with the program's academic directors about these expectations whenever necessary.

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The artistic thesis is appropriate for those students who wish to display the creative process in the performing, visual or literary arts. A student might make a film or video; choreograph an evening of dance; act in a play; mount an exhibit of paintings; write a screenplay, novel, play or collection of short stories; or choose another artistic endeavor. The artistic thesis represents the culmination of a Gallatin arts concentration in which the student has studied the genre under consideration.

The artistic thesis comprises both the artistic project and three accompanying essays. Therefore, you should conceive of the artistic thesis as a unified piece composed of the creative work and the essays which enhance it. Members of the faculty committee will assess both the artistic work and the essays. The essays include:

• an academic research paper related to the field of artistic work;
• an essay on artistic aims and process;
• a technical essay.

Please note: The technical essay does not apply to those students who are submitting a literary work.

Some General Advice

Be careful to keep records and a log of the artistic project as it evolves. This information can be used in the Technical Essay.

If a student is writing a work of fiction, poems, a play, etc., for the thesis, the student will submit this work to their adviser and other readers along with the essays. However, if the student is presenting a performance, they will need to arrange to have their adviser and other members of their committee see the performance. The student is responsible for coordinating schedules and for notifying committee members so that everyone can view the piece. The student should notify the thesis reviewer of the date of the performance at least one month in advance. In the event that one or more of the committee cannot attend the scheduled event, the student should arrange to have the performance videotaped so people can see it later. Except in unusual circumstances, the student must submit the first draft of the thesis to their adviser no more than three months after the performance.

Essays for the Artistic Thesis

Background Research Essay

As stated above, this essay follows the description for the standard research essay. It is a scholarly endeavor and differs from the standard essay in terms of length and focus. The length is approximately 25 to 40 pages. The focus of the essay is related to the artistic work and explores some aspect of that work that the student wishes to study and develop through outside research. The essay might take the form of an analysis of a performance or literary genre; a history of an art form or phenomenon; a philosophical study of an aesthetic concept; or a critical/biographical analysis of the work of an influential artistic figure.

Artistic Aims Essay

In this essay, the student is required to articulate their goals in mounting their particular artistic project. For example, what was the student trying to accomplish in writing short stories, a screenplay, a novel, presenting an evening of dances or songs, making a film or mounting an art exhibit? What were the aesthetic choices made and why?  The student should also explain their approach to the artistic work (their style, genre, or school), any relevant influences on the work, how the student's training influenced their artistic choices, and the student's intentions for particular elements of the creative work. After the student has carefully and clearly articulated these goals, they need to explain how their actual artistic work meets the stated goals. The student should use examples from their artistic project to illustrate these ideas. This essay should be approximately 10-15 pages in length.

Technical Essay

This essay is a description of the steps the student actually took to physically mount their production.  The student will need to include such technical details as arranging for rehearsal and performance space; choosing the performers; finding/creating, costumes, materials, lights; raising funds and getting institutional support. This essay should be approximately 10 pages in length.

Students may submit a portfolio, if appropriate. This would consist of any material, such as photos, slides, fliers, programs, videotapes, audiotapes etc. which might constitute an appendix and which might be helpful to a fuller understanding of the thesis.

The project thesis consists of two elements: (1) the project, a professional activity designed and executed primarily by the student as a way of solving a problem, and (2) an accompanying essay about the project. This thesis is especially appropriate for students in such fields as business, education, social work or public administration. The project thesis may appeal to those students who are active in their profession and who take responsibility for the creation of some kind of program or practice.

Students should understand that the project cannot simply propose a professional activity; the design for such an activity must actually be carried out (at least in a pilot version) and evaluated. Some examples of projects: a student in education may develop and apply a new strategy for teaching reading to recent immigrants; a person working in a corporation may construct new methods for managing financial information; or a community worker in a settlement house may organize a group of local residents to combat drug abuse.

At each step, the student should be careful to keep in touch with their adviser and with any other expert who can help them in their process. The student should keep careful records of the process by taking detailed notes of conversations, meetings, interviews, etc.  If at all possible, the student should arrange to have the members of their committee, especially their adviser, witness the project first-hand: Visit the site, talk with key actors, watch the program in operation. (This direct contact is highly recommended, but not required.)

Essays for the Project Thesis

The project thesis essay may take a number of forms and include a range of information. It ought to discuss at least the following elements:

Consider the institutional or social context within which the project takes place. Describe the organization, the potential clientele or participants, and the larger environment (social, economic and political conditions surrounding the problem and the project).

Describe the particular problem or need that you address in the project. What causes that problem? How extensive is it? Have other attempts to solve the problem been made; if so, what were their shortcomings, and why are you trying another approach? Place the problem in its professional and academic context by referring to the appropriate literature. Program

Describe the goals and objectives of the project and what the student hoped to accomplish. Describe how the program was designed and structured; for example, what kinds of activities did participants engage in, and in what sequence? What kinds of resources and techniques were used? Justify the strategies and tactics used by citing appropriate professional and academic literatures.

Implementation

Describe how the plan was carried out. Use as much detail as needed to give the reader a sense of what actually happened, and to indicate the extent to which the reality matched the plan.

Describe the criteria for assessing the project and evaluation methods used. Justify the criteria and methods by referring to appropriate literatures. To what extent did the project accomplish the goals and objectives identified earlier?

Citing relevant literature and the practical contingencies of the project, explain why the project did or did not achieve its stated purposes. Describe the factors (political, social, organizational, financial, psychological, etc.) that contributed to the process and to the outcomes. What changes--either conceptual or practical--would the student make if they were to repeat or extend the project? What would the student leave in place? Describe what was learned from the project about the original problem and about the student's strategy and tactics. Also consider the professional and theoretical implications of the project.

If necessary, put relevant documentary materials (flyers, important correspondence, budgets, etc.) in appendices.

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Types of Theses

The following five types of theses are acceptable:

Investigative Thesis

The investigative thesis takes an in-depth look at a specific health problem or topic, describing its public health importance and analyzing it from a disciplined perspective. This thesis should include the following:

• Definition of the problem,
• Presentation of the study population and the methods by which data were acquired,
• Analysis of the results,
• Discussion of the implications of the results, and
• Recommendations.

Research Study Demonstrating Mastery of Methodology

This type of thesis requires sophisticated analysis and application. Consequently, students should be sure of their readiness to undertake it. This thesis should include the following:

• Statement of methodological problem;
• Comparison of available solutions, discussing the advantages and disadvantages of each; and
• Either (a) choice and application of one of the available solutions, or (b) development of a new solution with discussion of the advantages and disadvantages of that solution.

Administrative Case Study

An administrative thesis defines, describes, analyzes, and interprets an actual administrative, problem-solving activity undertaken during a student’s field work. A variety of standard case study formats may be employed. An administrative case study thesis should be planned in advance with appropriate techniques for systematic observation and recording of data as the project progresses. This thesis usually includes the following:

• Definition of the problem;
• Description of setting, structure, function, and relationships;
• Relationship of student to problem (authority and accountability);
• Procedural description (case description, process, outcome);
• Analysis of events with reference to theory; and
• Assessment of the administrative solution.

Program Analysis, Evaluation, or Projection

This type of thesis examines either retrospectively or prospectively some particular health problem. This thesis should include the following:

• Definition of the problem that the program addresses,
• Statement of program goals and objectives, and
• Target population (characteristics, distribution, levels of protection, morbidity);
• Historical information, goals, politics;
• Resources and use of resources (acceptability, accessibility);
• Basis of intervention, data on knowledge, attitudes and practices;
• Cost analysis; and
• Specification of further data needs.

Special Project

This type of thesis incorporates a product useful in the teaching or practice of public health such as a curriculum, syllabus, or course for a school program or on-the-job training; specific educational aids (perhaps a computer-assisted learning experience, a programmed instruction course, or a training manual); a movie, videotape, or slide package; a pamphlet for use in health information; a set of formal administrative guidelines to implement a law or administrative decision; or architectural plans for a health facility.

In addition to the product, the student must produce a written analysis that includes the following:

• A rationale for the product and the anticipated audience/users;
• Review of relevant literature;
• Reasons for the selection of the chosen medium/method, including relevant theory;
• Proposal for method to evaluate the product; and
• Discussion of the limitations of the product.

The special project may require review by the Committee on Academic Progress.

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Statistical Machine Learning Methods for Modelling, Imaging, and Monitoring the Brain

Campus location, principal supervisor, additional supervisor 1, year of award, department, school or centre, degree type, usage metrics.

• Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
• Ordinary differential equations, difference equations and dynamical systems
• Biomedical imaging

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Comparison of Soil Carbon Dynamics Between Restored Prairie and Agricultural Soils in the U.S. Midwest

Globally, soils hold more carbon than both the atmosphere and aboveground terrestrial biosphere combined. Changes in land use and land cover have the potential to alter soil carbon cycling throughout the soil profile, from the surface to meters deep, yet most studies focus only on the near surface impact ( 3 and C 4 photosynthetic pathway plant community composition. Comparative analysis of edaphic properties and soil carbon suggests that deep loess deposits in Nebraska permit enhanced water infiltration and SOC deposition to depths of ~100 cm in 60 years of prairie restoration. In Illinois, poorly drained, clay/lime rich soils on glacial till and a younger restored prairie age (15 years) restricted the influence of prairie restoration to the upper 30 cm. Comparing the δ 13 C values of SOC and SIC in each system demonstrated that SIC at each site is likely of lithogenic origin. This work indicates that the magnitude of influence of restoration management is dependent on edaphic properties inherited from geological and geomorphological controls. Future work should quantify root structures and redox properties to better understand the influence of rooting depth on soil carbon concentrations. Fast-cycling C dynamics can be assessed using continuous, in-situ CO 2 and O 2 soil gas concentration changes. The secondary objective of my thesis was to determine if manual, low temporal resolution gas sampling and analysis are a low cost and effective means of measuring soil O 2 and CO 2 , by comparing it with data from in-situ continuous (hourly) sensors. Manual analysis of soil CO 2 and O 2 from field replicates of buried gas collection cups resulted in measurement differences from the continuous sensors. Measuring CO2 concentration with manual methods often resulted in higher concentrations than hourly, continuous measurements across all sites. Additionally, O 2 concentrations measured by manual methods were higher than hourly values in the restored prairie and less in agricultural sites. A variety of spatial variability, pressure perturbations, calibration offsets, and system leakage influences on both analysis methods could cause the discrepancy.

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• Earth, Atmospheric and Planetary Sciences

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• West Lafayette

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• Environmental biogeochemistry
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Home » Research Design – Types, Methods and Examples

Research Design – Types, Methods and Examples

Table of Contents

Research Design

Definition:

Research design refers to the overall strategy or plan for conducting a research study. It outlines the methods and procedures that will be used to collect and analyze data, as well as the goals and objectives of the study. Research design is important because it guides the entire research process and ensures that the study is conducted in a systematic and rigorous manner.

Types of Research Design

Types of Research Design are as follows:

Descriptive Research Design

This type of research design is used to describe a phenomenon or situation. It involves collecting data through surveys, questionnaires, interviews, and observations. The aim of descriptive research is to provide an accurate and detailed portrayal of a particular group, event, or situation. It can be useful in identifying patterns, trends, and relationships in the data.

Correlational Research Design

Correlational research design is used to determine if there is a relationship between two or more variables. This type of research design involves collecting data from participants and analyzing the relationship between the variables using statistical methods. The aim of correlational research is to identify the strength and direction of the relationship between the variables.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This type of research design involves manipulating one variable and measuring the effect on another variable. It usually involves randomly assigning participants to groups and manipulating an independent variable to determine its effect on a dependent variable. The aim of experimental research is to establish causality.

Quasi-experimental Research Design

Quasi-experimental research design is similar to experimental research design, but it lacks one or more of the features of a true experiment. For example, there may not be random assignment to groups or a control group. This type of research design is used when it is not feasible or ethical to conduct a true experiment.

Case Study Research Design

Case study research design is used to investigate a single case or a small number of cases in depth. It involves collecting data through various methods, such as interviews, observations, and document analysis. The aim of case study research is to provide an in-depth understanding of a particular case or situation.

Longitudinal Research Design

Longitudinal research design is used to study changes in a particular phenomenon over time. It involves collecting data at multiple time points and analyzing the changes that occur. The aim of longitudinal research is to provide insights into the development, growth, or decline of a particular phenomenon over time.

Structure of Research Design

The format of a research design typically includes the following sections:

• Introduction : This section provides an overview of the research problem, the research questions, and the importance of the study. It also includes a brief literature review that summarizes previous research on the topic and identifies gaps in the existing knowledge.
• Research Questions or Hypotheses: This section identifies the specific research questions or hypotheses that the study will address. These questions should be clear, specific, and testable.
• Research Methods : This section describes the methods that will be used to collect and analyze data. It includes details about the study design, the sampling strategy, the data collection instruments, and the data analysis techniques.
• Data Collection: This section describes how the data will be collected, including the sample size, data collection procedures, and any ethical considerations.
• Data Analysis: This section describes how the data will be analyzed, including the statistical techniques that will be used to test the research questions or hypotheses.
• Results : This section presents the findings of the study, including descriptive statistics and statistical tests.
• Discussion and Conclusion : This section summarizes the key findings of the study, interprets the results, and discusses the implications of the findings. It also includes recommendations for future research.
• References : This section lists the sources cited in the research design.

Example of Research Design

An Example of Research Design could be:

Research question: Does the use of social media affect the academic performance of high school students?

Research design:

• Research approach : The research approach will be quantitative as it involves collecting numerical data to test the hypothesis.
• Research design : The research design will be a quasi-experimental design, with a pretest-posttest control group design.
• Sample : The sample will be 200 high school students from two schools, with 100 students in the experimental group and 100 students in the control group.
• Data collection : The data will be collected through surveys administered to the students at the beginning and end of the academic year. The surveys will include questions about their social media usage and academic performance.
• Data analysis : The data collected will be analyzed using statistical software. The mean scores of the experimental and control groups will be compared to determine whether there is a significant difference in academic performance between the two groups.
• Limitations : The limitations of the study will be acknowledged, including the fact that social media usage can vary greatly among individuals, and the study only focuses on two schools, which may not be representative of the entire population.
• Ethical considerations: Ethical considerations will be taken into account, such as obtaining informed consent from the participants and ensuring their anonymity and confidentiality.

How to Write Research Design

Writing a research design involves planning and outlining the methodology and approach that will be used to answer a research question or hypothesis. Here are some steps to help you write a research design:

• Define the research question or hypothesis : Before beginning your research design, you should clearly define your research question or hypothesis. This will guide your research design and help you select appropriate methods.
• Select a research design: There are many different research designs to choose from, including experimental, survey, case study, and qualitative designs. Choose a design that best fits your research question and objectives.
• Develop a sampling plan : If your research involves collecting data from a sample, you will need to develop a sampling plan. This should outline how you will select participants and how many participants you will include.
• Define variables: Clearly define the variables you will be measuring or manipulating in your study. This will help ensure that your results are meaningful and relevant to your research question.
• Choose data collection methods : Decide on the data collection methods you will use to gather information. This may include surveys, interviews, observations, experiments, or secondary data sources.
• Create a data analysis plan: Develop a plan for analyzing your data, including the statistical or qualitative techniques you will use.
• Consider ethical concerns : Finally, be sure to consider any ethical concerns related to your research, such as participant confidentiality or potential harm.

When to Write Research Design

Research design should be written before conducting any research study. It is an important planning phase that outlines the research methodology, data collection methods, and data analysis techniques that will be used to investigate a research question or problem. The research design helps to ensure that the research is conducted in a systematic and logical manner, and that the data collected is relevant and reliable.

Ideally, the research design should be developed as early as possible in the research process, before any data is collected. This allows the researcher to carefully consider the research question, identify the most appropriate research methodology, and plan the data collection and analysis procedures in advance. By doing so, the research can be conducted in a more efficient and effective manner, and the results are more likely to be valid and reliable.

Purpose of Research Design

The purpose of research design is to plan and structure a research study in a way that enables the researcher to achieve the desired research goals with accuracy, validity, and reliability. Research design is the blueprint or the framework for conducting a study that outlines the methods, procedures, techniques, and tools for data collection and analysis.

Some of the key purposes of research design include:

• Providing a clear and concise plan of action for the research study.
• Ensuring that the research is conducted ethically and with rigor.
• Maximizing the accuracy and reliability of the research findings.
• Minimizing the possibility of errors, biases, or confounding variables.
• Ensuring that the research is feasible, practical, and cost-effective.
• Determining the appropriate research methodology to answer the research question(s).
• Identifying the sample size, sampling method, and data collection techniques.
• Determining the data analysis method and statistical tests to be used.
• Facilitating the replication of the study by other researchers.
• Enhancing the validity and generalizability of the research findings.

Applications of Research Design

There are numerous applications of research design in various fields, some of which are:

• Social sciences: In fields such as psychology, sociology, and anthropology, research design is used to investigate human behavior and social phenomena. Researchers use various research designs, such as experimental, quasi-experimental, and correlational designs, to study different aspects of social behavior.
• Education : Research design is essential in the field of education to investigate the effectiveness of different teaching methods and learning strategies. Researchers use various designs such as experimental, quasi-experimental, and case study designs to understand how students learn and how to improve teaching practices.
• Health sciences : In the health sciences, research design is used to investigate the causes, prevention, and treatment of diseases. Researchers use various designs, such as randomized controlled trials, cohort studies, and case-control studies, to study different aspects of health and healthcare.
• Business : Research design is used in the field of business to investigate consumer behavior, marketing strategies, and the impact of different business practices. Researchers use various designs, such as survey research, experimental research, and case studies, to study different aspects of the business world.
• Engineering : In the field of engineering, research design is used to investigate the development and implementation of new technologies. Researchers use various designs, such as experimental research and case studies, to study the effectiveness of new technologies and to identify areas for improvement.

Advantages of Research Design

Here are some advantages of research design:

• Systematic and organized approach : A well-designed research plan ensures that the research is conducted in a systematic and organized manner, which makes it easier to manage and analyze the data.
• Clear objectives: The research design helps to clarify the objectives of the study, which makes it easier to identify the variables that need to be measured, and the methods that need to be used to collect and analyze data.
• Minimizes bias: A well-designed research plan minimizes the chances of bias, by ensuring that the data is collected and analyzed objectively, and that the results are not influenced by the researcher’s personal biases or preferences.
• Efficient use of resources: A well-designed research plan helps to ensure that the resources (time, money, and personnel) are used efficiently and effectively, by focusing on the most important variables and methods.
• Replicability: A well-designed research plan makes it easier for other researchers to replicate the study, which enhances the credibility and reliability of the findings.
• Validity: A well-designed research plan helps to ensure that the findings are valid, by ensuring that the methods used to collect and analyze data are appropriate for the research question.
• Generalizability : A well-designed research plan helps to ensure that the findings can be generalized to other populations, settings, or situations, which increases the external validity of the study.

Research Design Vs Research Methodology

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Research Day 2024: Inspiring Minds, Sharing Knowledge

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The Faculty of Dental Medicine and Oral Health Sciences 18th Annual Research Day took place on April 24 at the Centre Mont-Royal. With a record-breaking crowd of over 270 participants including researchers, dental medicine students, graduate students, and clinical and administrative staff, the event provided a dynamic platform for exchange, ideas, and discussion. The day was marked by a series of engaging presentations and discussions, showcasing the innovative research being conducted within the Faculty. Twenty three students had the opportunity to present their research through oral presentations, while 79 poster presentations were displayed and presented.

This year's keynote speakers were Eduardo Franco, Distinguished James McGill Professor and Director of the Division of Cancer Epidemiology, and Dr. Paul Zaslansky, Professor of Material Science in Dentistry in the department of Operative, Preventive and Pediatric Dentistry of the Charité Center for Craniofacial Sciences in Berlin. Professor Franco's presentation focused on the the uncertain future of academic publishing in the Sciences due to open access journals, which has shifted the costs of publishing from readers to authors and in turn democratized access to scientific knowledge. He explored the unintended consequences of this movement including attitudes on the role of peer review and the credibility of scientific publishing in the pursuit of profit, and the need for open access publications that move away from the profit driven model. 

Dr. Zaslansky's presentation "Radiation, radiography and bones: a love-hate relationship, especially at high resolutions" shed light on the advancements in using radiation for imaging bones and similar biomineralized tissues, taking into consideration the pros and cons of using research-grade tomographic methods.

The event also featured guest speaker Dr. Timothy J. Quirt talk about on the future of AI in dentistry. Dr. Quirt's insights into the integration of artificial intelligence in dental practices provided a glimpse into the potential future of dental medicine.

An award ceremony took place at the end of the day to recognize the excellence of Faculty student research posters and presentations.

Congratulations to all the winners!

• 1st place: Micaela Buchbinder, Kaitlin Chow, Gucci Ding, Amanda Janes, Ashima Razdan
• 2nd place: Saby Xavier, Jia Xin Li, Eric Ge, Babasola Sodipo
• 3rd place: Joey Chammas, Kenneth Drummond, Matthew Goldsmith, Vishwendra Singh
• 1st place: Megan Araujo
• 2nd place: David Bertrand
• 3rd place: Yue Ying
• Best Lightning Talk: Celine Agnes
• Best Publication: Xiang Ao, Eric Krochmalnek
• Knowledge Translation Award: Jax Norman
• GPR Resident Award: Aynaz Khodayari
• OMFS Resident Award: Ahmad Alali
• DMD Summer Research Student Award: Eric Krochmalnek

The Faculty's Research Day would not have been possible without the generous support of our sponsors and donors. We extend our heartfelt thanks to 123Dentist, the Réseau intersectoriel en santé buccodentaire et osseuse durable (RiSBOD), Sunstar, the Network for Canadian Oral Health Research, and Colgate-Palmolive.

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Household Debt Rose by $184 Billion in Q1 2024; Delinquency Transition Rates Increased Across All Debt Types

NEW YORK — The Federal Reserve Bank of New York’s Center for Microeconomic Data today issued its Quarterly Report on Household Debt and Credit . The report shows total household debt increased by $184 billion (1.1%) in the first quarter of 2024, to $17.69 trillion. The report is based on data from the New York Fed’s nationally representative Consumer Credit Panel .

The New York Fed also issued an accompanying Liberty Street Economics blog post examining credit card utilization and its relationship with delinquency. The Quarterly Report also includes a one-page summary of key takeaways and their supporting data points.

“In the first quarter of 2024, credit card and auto loan transition rates into serious delinquency continued to rise across all age groups,” said Joelle Scally, Regional Economic Principal within the Household and Public Policy Research Division at the New York Fed. “An increasing number of borrowers missed credit card payments, revealing worsening financial distress among some households.”

Mortgage balances rose by $190 billion from the previous quarter and was $12.44 trillion at the end of March. Balances on home equity lines of credit (HELOC) increased by $16 billion, representing the eighth consecutive quarterly increase since Q1 2022, and now stand at $376 billion. Credit card balances decreased by $14 billion to $1.12 trillion. Other balances, which include retail cards and consumer loans, also decreased by $11 billion. Auto loan balances increased by $9 billion, continuing the upward trajectory seen since 2020, and now stand at $1.62 trillion.

Mortgage originations continued increasing at the same pace seen in the previous three quarters, and now stand at $403 billion. Aggregate limits on credit card accounts increased modestly by $63 billion, representing a 1.3% increase from the previous quarter. Limits on HELOC grew by $30 billion and have grown by 14% over the past two years, after 10 years of observed declines.

Aggregate delinquency rates increased in Q1 2024, with 3.2% of outstanding debt in some stage of delinquency at the end of March. Delinquency transition rates increased for all debt types. Annualized, approximately 8.9% of credit card balances and 7.9% of auto loans transitioned into delinquency. Delinquency transition rates for mortgages increased by 0.3 percentage points yet remain low by historic standards.

Household Debt and Credit Developments as of Q1 2024

*Change from Q4 2023 to Q1 2024 ** Change from Q1 2023 to Q1 2024

Flow into Serious Delinquency (90 days or more delinquent)

About the Report

The Federal Reserve Bank of New York’s Household Debt and Credit Report provides unique data and insight into the credit conditions and activity of U.S. consumers. Based on data from the New York Fed’s Consumer Credit Panel , a nationally representative sample drawn from anonymized Equifax credit data, the report provides a quarterly snapshot of household trends in borrowing and indebtedness, including data about mortgages, student loans, credit cards, auto loans and delinquencies. The report aims to help community groups, small businesses, state and local governments and the public to better understand, monitor, and respond to trends in borrowing and indebtedness at the household level. Sections of the report are presented as interactive graphs on the New York Fed’s  Household Debt and Credit Report web page  and the full report is available for download.

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