research methodology for phd

How To Choose Your Research Methodology

Qualitative vs quantitative vs mixed methods.

By: Derek Jansen (MBA). Expert Reviewed By: Dr Eunice Rautenbach | June 2021

Without a doubt, one of the most common questions we receive at Grad Coach is “ How do I choose the right methodology for my research? ”. It’s easy to see why – with so many options on the research design table, it’s easy to get intimidated, especially with all the complex lingo!

In this post, we’ll explain the three overarching types of research – qualitative, quantitative and mixed methods – and how you can go about choosing the best methodological approach for your research.

Overview: Choosing Your Methodology

Understanding the options – Qualitative research – Quantitative research – Mixed methods-based research

Choosing a research methodology – Nature of the research – Research area norms – Practicalities

1. Understanding the options

Before we jump into the question of how to choose a research methodology, it’s useful to take a step back to understand the three overarching types of research – qualitative , quantitative and mixed methods -based research. Each of these options takes a different methodological approach.

Qualitative research utilises data that is not numbers-based. In other words, qualitative research focuses on words , descriptions , concepts or ideas – while quantitative research makes use of numbers and statistics. Qualitative research investigates the “softer side” of things to explore and describe, while quantitative research focuses on the “hard numbers”, to measure differences between variables and the relationships between them.

Importantly, qualitative research methods are typically used to explore and gain a deeper understanding of the complexity of a situation – to draw a rich picture . In contrast to this, quantitative methods are usually used to confirm or test hypotheses . In other words, they have distinctly different purposes. The table below highlights a few of the key differences between qualitative and quantitative research – you can learn more about the differences here.

• Uses an inductive approach
• Is used to build theories
• Takes a subjective approach
• Adopts an open and flexible approach
• The researcher is close to the respondents
• Interviews and focus groups are oftentimes used to collect word-based data.
• Generally, draws on small sample sizes
• Uses qualitative data analysis techniques (e.g. content analysis , thematic analysis , etc)
• Uses a deductive approach
• Is used to test theories
• Takes an objective approach
• Adopts a closed, highly planned approach
• The research is disconnected from respondents
• Surveys or laboratory equipment are often used to collect number-based data.
• Generally, requires large sample sizes
• Uses statistical analysis techniques to make sense of the data

Mixed methods -based research, as you’d expect, attempts to bring these two types of research together, drawing on both qualitative and quantitative data. Quite often, mixed methods-based studies will use qualitative research to explore a situation and develop a potential model of understanding (this is called a conceptual framework), and then go on to use quantitative methods to test that model empirically.

In other words, while qualitative and quantitative methods (and the philosophies that underpin them) are completely different, they are not at odds with each other. It’s not a competition of qualitative vs quantitative. On the contrary, they can be used together to develop a high-quality piece of research. Of course, this is easier said than done, so we usually recommend that first-time researchers stick to a single approach , unless the nature of their study truly warrants a mixed-methods approach.

The key takeaway here, and the reason we started by looking at the three options, is that it’s important to understand that each methodological approach has a different purpose – for example, to explore and understand situations (qualitative), to test and measure (quantitative) or to do both. They’re not simply alternative tools for the same job. 

Right – now that we’ve got that out of the way, let’s look at how you can go about choosing the right methodology for your research.

2. How to choose a research methodology

To choose the right research methodology for your dissertation or thesis, you need to consider three important factors . Based on these three factors, you can decide on your overarching approach – qualitative, quantitative or mixed methods. Once you’ve made that decision, you can flesh out the finer details of your methodology, such as the sampling , data collection methods and analysis techniques (we discuss these separately in other posts ).

The three factors you need to consider are:

• The nature of your research aims, objectives and research questions
• The methodological approaches taken in the existing literature
• Practicalities and constraints

Let’s take a look at each of these.

Factor #1: The nature of your research

As I mentioned earlier, each type of research (and therefore, research methodology), whether qualitative, quantitative or mixed, has a different purpose and helps solve a different type of question. So, it’s logical that the key deciding factor in terms of which research methodology you adopt is the nature of your research aims, objectives and research questions .

But, what types of research exist?

Broadly speaking, research can fall into one of three categories:

• Exploratory – getting a better understanding of an issue and potentially developing a theory regarding it
• Confirmatory – confirming a potential theory or hypothesis by testing it empirically
• A mix of both – building a potential theory or hypothesis and then testing it

As a rule of thumb, exploratory research tends to adopt a qualitative approach , whereas confirmatory research tends to use quantitative methods . This isn’t set in stone, but it’s a very useful heuristic. Naturally then, research that combines a mix of both, or is seeking to develop a theory from the ground up and then test that theory, would utilize a mixed-methods approach.

Let’s look at an example in action.

If your research aims were to understand the perspectives of war veterans regarding certain political matters, you’d likely adopt a qualitative methodology, making use of interviews to collect data and one or more qualitative data analysis methods to make sense of the data.

If, on the other hand, your research aims involved testing a set of hypotheses regarding the link between political leaning and income levels, you’d likely adopt a quantitative methodology, using numbers-based data from a survey to measure the links between variables and/or constructs .

So, the first (and most important thing) thing you need to consider when deciding which methodological approach to use for your research project is the nature of your research aims , objectives and research questions. Specifically, you need to assess whether your research leans in an exploratory or confirmatory direction or involves a mix of both.

The importance of achieving solid alignment between these three factors and your methodology can’t be overstated. If they’re misaligned, you’re going to be forcing a square peg into a round hole. In other words, you’ll be using the wrong tool for the job, and your research will become a disjointed mess.

If your research is a mix of both exploratory and confirmatory, but you have a tight word count limit, you may need to consider trimming down the scope a little and focusing on one or the other. One methodology executed well has a far better chance of earning marks than a poorly executed mixed methods approach. So, don’t try to be a hero, unless there is a very strong underpinning logic.

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Factor #2: The disciplinary norms

Choosing the right methodology for your research also involves looking at the approaches used by other researchers in the field, and studies with similar research aims and objectives to yours. Oftentimes, within a discipline, there is a common methodological approach (or set of approaches) used in studies. While this doesn’t mean you should follow the herd “just because”, you should at least consider these approaches and evaluate their merit within your context.

A major benefit of reviewing the research methodologies used by similar studies in your field is that you can often piggyback on the data collection techniques that other (more experienced) researchers have developed. For example, if you’re undertaking a quantitative study, you can often find tried and tested survey scales with high Cronbach’s alphas. These are usually included in the appendices of journal articles, so you don’t even have to contact the original authors. By using these, you’ll save a lot of time and ensure that your study stands on the proverbial “shoulders of giants” by using high-quality measurement instruments .

Of course, when reviewing existing literature, keep point #1 front of mind. In other words, your methodology needs to align with your research aims, objectives and questions. Don’t fall into the trap of adopting the methodological “norm” of other studies just because it’s popular. Only adopt that which is relevant to your research.

Factor #3: Practicalities

When choosing a research methodology, there will always be a tension between doing what’s theoretically best (i.e., the most scientifically rigorous research design ) and doing what’s practical , given your constraints . This is the nature of doing research and there are always trade-offs, as with anything else.

But what constraints, you ask?

When you’re evaluating your methodological options, you need to consider the following constraints:

• Data access
• Equipment and software
• Your knowledge and skills

Let’s look at each of these.

Constraint #1: Data access

The first practical constraint you need to consider is your access to data . If you’re going to be undertaking primary research , you need to think critically about the sample of respondents you realistically have access to. For example, if you plan to use in-person interviews , you need to ask yourself how many people you’ll need to interview, whether they’ll be agreeable to being interviewed, where they’re located, and so on.

If you’re wanting to undertake a quantitative approach using surveys to collect data, you’ll need to consider how many responses you’ll require to achieve statistically significant results. For many statistical tests, a sample of a few hundred respondents is typically needed to develop convincing conclusions.

So, think carefully about what data you’ll need access to, how much data you’ll need and how you’ll collect it. The last thing you want is to spend a huge amount of time on your research only to find that you can’t get access to the required data.

Constraint #2: Time

The next constraint is time. If you’re undertaking research as part of a PhD, you may have a fairly open-ended time limit, but this is unlikely to be the case for undergrad and Masters-level projects. So, pay attention to your timeline, as the data collection and analysis components of different methodologies have a major impact on time requirements . Also, keep in mind that these stages of the research often take a lot longer than originally anticipated.

Another practical implication of time limits is that it will directly impact which time horizon you can use – i.e. longitudinal vs cross-sectional . For example, if you’ve got a 6-month limit for your entire research project, it’s quite unlikely that you’ll be able to adopt a longitudinal time horizon. 

Constraint #3: Money

As with so many things, money is another important constraint you’ll need to consider when deciding on your research methodology. While some research designs will cost near zero to execute, others may require a substantial budget .

Some of the costs that may arise include:

• Software costs – e.g. survey hosting services, analysis software, etc.
• Promotion costs – e.g. advertising a survey to attract respondents
• Incentive costs – e.g. providing a prize or cash payment incentive to attract respondents
• Equipment rental costs – e.g. recording equipment, lab equipment, etc.
• Travel costs
• Food & beverages

These are just a handful of costs that can creep into your research budget. Like most projects, the actual costs tend to be higher than the estimates, so be sure to err on the conservative side and expect the unexpected. It’s critically important that you’re honest with yourself about these costs, or you could end up getting stuck midway through your project because you’ve run out of money.

Constraint #4: Equipment & software

Another practical consideration is the hardware and/or software you’ll need in order to undertake your research. Of course, this variable will depend on the type of data you’re collecting and analysing. For example, you may need lab equipment to analyse substances, or you may need specific analysis software to analyse statistical data. So, be sure to think about what hardware and/or software you’ll need for each potential methodological approach, and whether you have access to these.

Constraint #5: Your knowledge and skillset

The final practical constraint is a big one. Naturally, the research process involves a lot of learning and development along the way, so you will accrue knowledge and skills as you progress. However, when considering your methodological options, you should still consider your current position on the ladder.

Some of the questions you should ask yourself are:

• Am I more of a “numbers person” or a “words person”?
• How much do I know about the analysis methods I’ll potentially use (e.g. statistical analysis)?
• How much do I know about the software and/or hardware that I’ll potentially use?
• How excited am I to learn new research skills and gain new knowledge?
• How much time do I have to learn the things I need to learn?

Answering these questions honestly will provide you with another set of criteria against which you can evaluate the research methodology options you’ve shortlisted.

So, as you can see, there is a wide range of practicalities and constraints that you need to take into account when you’re deciding on a research methodology. These practicalities create a tension between the “ideal” methodology and the methodology that you can realistically pull off. This is perfectly normal, and it’s your job to find the option that presents the best set of trade-offs.

Recap: Choosing a methodology

In this post, we’ve discussed how to go about choosing a research methodology. The three major deciding factors we looked at were:

• Exploratory
• Confirmatory
• Combination
• Research area norms
• Hardware and software
• Your knowledge and skillset

If you have any questions, feel free to leave a comment below. If you’d like a helping hand with your research methodology, check out our 1-on-1 research coaching service , or book a free consultation with a friendly Grad Coach.

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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15 kinds of research methodologies for phd. pupils, basic research.

Pure research or fundamental research or basic research zooms on enhancing scientific knowledge for the exhaustive understanding of a topic or certain natural phenomena, essentially in natural sciences; knowledge that is obtained for the purpose of knowledge it is called fundamental research.

1.Applied research

Research that covers real life applications of the natural sciences; aimed at offering an answer to particular practical issues and develops novel technologies

2.Fixed research versus flexible research

In fixed research, the design of the study is fixed prior to the main phase of data gathering; moreover, fixed designs are essentially theoretical. Variables that need to be controlled and measured need to be known in advance and they are measured quantitatively.

3.Quantitative research and qualitative research

Quantitative research denotes gauging phenomena in various grades; on the other hand, qualitative research sometimes deems Boolean measurements alone; solution can be studied qualitatively for its appropriateness. However, comparison between candidate solutions requires quantitative observation.

4.Experimental research and non-experimental research

In an experimental design , operationalize the variables to be measured; moreover, operationalize in the best manner. Consider the study expectations, outcome measurement, variable measurement, and the methods to answer research questions.

Think of the practical limitations such as the availability of data-sets and experimental set-ups that represent actual scenarios.

5.Exploratory research and confirmatory research

Confirmatory research tests a priori hypotheses—outcome predictions done prior to the measurement stage. Such a priori hypotheses are usually derived from a theory or the results of previous studies.

Exploratory research generates a posteriori hypotheses by investigating a data-set and ascertaining potential connection between variables.

6.Explanatory research or casual research

Causal research is also called explanatory research ; conducted to ascertain the extent and type of cause-effect relationships. Causal research are conducted to evaluate effects of specific changes on existing norms, various processes etc.

7.Descriptive research

Descriptive research is the available statement of affairs; researcher has no control over variable. Descriptive studies are characterised as simply an effort to ascertain, define or recognize.  Not “why it is that way” nor “how it came to be,” which is the objective of analytical research.

8.Historical research

Historical research explores and explains the meanings, phases and traits of a phenomena or process at a certain phase of time in the past; historical research is a research strategy from the research of history.

9.Casual comparative research

Also called as “ex-post facto” research (In Latin, implies “after the fact”); researchers determine the causes or consequences of differences that already exist between or among groups of individuals.

An effort to ascertain a causative relationship between an independent variable and a dependent variable; relationship between the independent variable and dependent variable are usually a suggested relationship (not proved yet) because you do not have complete control over the independent variable

10.Correlational research

Correlational research is a form of non-experimental research technique wherein a researcher measures 2 variables and assesses the statistical connection between them with no influence from any external variable.

The correlation between two variables is given through correlation coefficient, which is a statistical measure that calculates the strength of the relationship between two variables that is a value measured between -1 and +1.

11.Evaluation research method

Evaluation research technique is known as program evaluation and refers to a research purpose instead of a particular technique; objective is to assess the effect of social involvements such as new treatment techniques, innovations in services, etc.

A form of applied research to have some real-world effect. Methods such as surveys and experiments are used in evaluation research.

12.Formative and summative evaluation

While learning is in progress, formative assessment offers feedback and information; measures participant’s progress and also assess researcher’s own progress as well.

For example, when implementing a new program, you can determine whether or not the activity should be used again (or modified) with the help of observation and/or surveying.

Summative assessment happens after the learning has ended and offers info and feedback to sum up the process; essentially, no formal learning is happening at this phase other than incidental learning which might take place through the completion of program.

13.Diagnostic research

Descriptive research studies define the characteristics of a particular individual, or of a group.

Studies showing whether certain variables are linked are examples of diagnostic research.

Researcher defines what he or she wants to measure and finds adequate methods for measuring it along with a clear description of ‘population’.

Aim is to obtain complete and accurate information. And the researcher plans the procedure carefully.

14.Prognostic research

Prognostic research (specifically in clinical research) examines chosen predictive variables and risk factors; prognostic research assesses influence on the outcome of a disease. Clinicians have a better understanding of the history of the ailment.

This understanding facilitates clinical decision-making via providing apt treatment alternatives and helps to predict accurate disease outcomes.

Assessing prognostic studies involves ascertaining the internal validity of the study design and assessing the effects of bias or systemic errors.

15.Action research

A systematic inquiry for improving and/or honing researchers’ actions. Researchers find it an empowering experience.

Action research has positive result for various reasons; most important is that action research is pertinent to the research participants.

Relevance is assured because the aim of each research project is ascertained by the researchers, who are also the main beneficiaries of the research observations.

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PhD in Research Methodology

Use numbers and data to drive systematic change in education.

A number is not simply a number in our research methodology program. Here, unlike in math or statistics, numbers are not the final answer. With a PhD in Research Methodology, you can work in educational and institutional research, using numbers to tell the story of the human experience and create meaningful change.

Our commitment to you

Upon graduation with a PhD in research methodology from Loyola, you will possess the following knowledge, skills, and professional values necessary to commence a career as an institutional researcher, evaluator, college professor, or researcher at large professional organizations, testing companies, or consulting agencies that provide educational evaluation services.

You will develop expertise in evaluation, statistics, and measurement, and recognize when research findings are being misrepresented or data misused. Our expert faculty will train you in both qualitative and quantitative methodology, including applied statistics and psychometrics. You'll also learn how numbers relate to action, policy, and advocacy.

You will be able to critically evaluate bodies of knowledge from a variety of methodological traditions, use a variety of software programs to implement analyses, and conduct all stages of a research study in applied settings. Plus, you'll participate in a required consulting experience, where you'll conduct a research study and then provide consulting advice to a researcher or organization.

Professional Values

We strive to ensure that our graduates never lose sight of the humanity that number reflect, and become responsible researchers whose conclusions align with their findings. You will engage in ethical, just, and culturally competent research practices.

Program Faculty

Our dedicated Research Methodology Faculty are experts in their fields who will support students throughout each stage of the program.

Program Length

Students typically take up to two or three courses each term and up to two courses during the summer, and completion times for this degree vary with the topic of each student's dissertation. The typical length for this program is five years.

Continuous Enrollment Doctoral students in research methodology are required to maintain continuous enrollment during their program of studies. This means that during each semester of each academic year (excluding Summer Sessions), each student must enroll in at least one course. A formal  leave of absence  may be granted upon request and the approval of the School of Education’s Associate Dean of Student Academic Services.

Admission Requirements

Interested in applying? Check out the  PhD Research Methodology application requirements .

• For  application  related questions,  contact Graduate Enrollment Management . 
• For  program structure and academics  related questions, contact:  Ken Fujimoto , Program Chair

Tuition, Financial Aid and Scholarships

The School of Education and Loyola's Financial Aid Office are committed to helping students secure the necessary financial resources to make their education at Loyola affordable. You can learn more on the  Financial Assistance  page.

How long will it take to finish the program?

Five years is about the average length of time, especially if the student is not full-time. However a full-time student who transfers the maximum 30 credit hours from another university could complete the PhD in as few as three years. Please note that a maximum of six years is allowed to complete your coursework and dissertation.

Much will depend upon how many courses a student is able to take during any given term. Since the minimum is 20 courses, one should count on two or three years of coursework, another year for taking and passing comprehensive exams and developing a proposal, and at least one more year for the dissertation research. 

What can I do with a degree in research methodology?

This degree offers many professional opportunities. Recent graduates work at research firms, testing companies, professional associations or accrediting agencies, nonprofits, and in higher education, including institutional research.

How is the consulting experience structured?

The consulting experience is fulfilled by providing research or statistical consulting. Students, in consultation with their advisor, will determine the form of the consulting. For example, some students have provided statistical analysis assistance to faculty members or other doctoral students at the university, working on a research team with a faculty member in the School of Education. Others have completed a project associated with the student's full-time employment.

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Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

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See an example

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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Ph.D. in Qualitative and Quantitative Research Methodology

Qualitative and quantitative research methodology, (formerly ph.d. in inquiry methodology).

This unique program enables students to focus on quantitative research, qualitative research, or an integrated program of study.

The flexible curriculum enables you to delve deeply into your chosen area of interest, from statistical modeling to ethnography, from discourse and narrative analysis to psychometrics and assessment.

Yet our program is rigorous enough to ensure that all graduates are able to meaningfully contribute to the study of social and behavioral research.

Application Deadlines

Admission requirements.

The Graduate Studies Office will accept unofficial transcripts and self-reported test scores for admission reviews. Any admission made with these documents would be conditioned on receipt of official documents, which should be provided as soon as possible.

Note: If you are currently enrolled or have applied in the past year, you are eligible for a reduced application fee of $35. Learn more »

• Bachelor’s degree from an accredited institution
• Minimum undergraduate GPA of 2.75 out of 4.00
• Personal statement
• Resume (required from international students only)
• Three letters of recommendation
• Minimum 79 TOEFL score or minimum 6.5 IELTS score or minimum 115 Duolingo score (international students only)

Learn more about how to apply

Program Requirements

• Ph.D. in Qualitative and Quantitative Research Methodology – (formerly Ph.D. in Inquiry Methodology) Program Requirements

Per credit hour

*Does not include fees, which will vary depending on the number of credits enrolled. Find more information and calculate your expected costs at Student Central .

• Learn about the variety of fellowships and assistantships available to graduate students.
• Visit Student Central for information about financial assistance.
• Consult your employer about the availability of tuition reimbursement or tuition assistance programs.
• Active duty military, veterans, and military families should visit the Center for Veteran and Military Students to take full advantage of available financial assistance and educational benefits.

Qualifying Examination

At the completion of course work and before the dissertation, doctoral students specializing in Inquiry Methodology will need to pass a qualifying exam in the form of portfolio of work and an oral examination. This examination is tailored to the student's program of study. All students with a minor in education must also take a minor qualifying examination. Some departments outside of the School of Education waive the minor qualifying examination, under certain conditions.

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As a student you will have the opportunity to focus on methodology through theory and practice that cuts across a divide in qualitative and quantitative methods.

We are dedicated to advancing the understanding of social inquiry, especially with respect to the field of education, and we imagine these possibilities to be necessarily inclusive of methods typically disenfranchised from one another.

This 90-credit hour degree program requires students to spend at least two consecutive semesters on campus. Up to 30 credit hours may be transferred from another institution.

A 12-credit hour minor is also available to doctoral students majoring in other disciplines.

David Rutkowski ED 4234 drutkows@iu.edu (812) 856-8384

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The Essence of Research Methodology

A Concise Guide for Master and PhD Students in Management Science

• Jan Jonker 0 ,
• Bartjan Pennink 1

Nijmegen School of Management, Radbound University Nijmegen, Nijmegen, Netherlands

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Fac. Bedrijfskunde, Rijksuniversiteit Groningen, Groningen, Netherlands

Concise introduction to different research approaches in management science

Instructions how to select an appropriate method given a particular research question

Boxes with exercises and checklists

Extensive comparative glossary of methodology terms and notions

Includes supplementary material: sn.pub/extras

87k Accesses

23 Citations

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Table of contents (10 chapters)

Front matter, looking at research.

• Jan Jonker, Bartjan W. Pennink

The Essence of Methodology

Conceptual models, quantitative research, qualitative research, assessing your research, acting and organising, elaborating your own research design, comparative glossary, back matter.

• Applied Business Research
• Management Studies
• Qualitative Research Methods
• Quantitative Research Methods
• Research Methodology
• Research Methods
• organization

Bartjan Pennink

Book Title : The Essence of Research Methodology

Book Subtitle : A Concise Guide for Master and PhD Students in Management Science

Authors : Jan Jonker, Bartjan Pennink

DOI : https://doi.org/10.1007/978-3-540-71659-4

Publisher : Springer Berlin, Heidelberg

eBook Packages : Business and Economics , Business and Management (R0)

Copyright Information : Springer-Verlag Berlin Heidelberg 2009

Hardcover ISBN : 978-3-540-71658-7 Published: 11 March 2010

Softcover ISBN : 978-3-642-42478-6 Published: 14 November 2014

eBook ISBN : 978-3-540-71659-4 Published: 10 March 2010

Edition Number : 1

Number of Pages : XIX, 171

Topics : Business and Management, general

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2023-2024 Academic Catalog

Loyola university chicago, 2023-2024 catalog.

The Academic Catalog is the official listing of courses, programs of study, academic policies and degree requirements for Loyola University Chicago. It is published every year in advance of the next academic year.

School and Academic Centers and Institutes

Undergraduate academic standards and regulations, arrupe academic standards and regulations, professional license disclosures, accreditation, research methodology (phd).

Use numbers and data to drive systematic change in education

A number is not simply a number in our research methodology program. Here, unlike in math or statistics, numbers are not the final answer. With a PhD in Research Methodology, you can work in educational and institutional research, using numbers to tell the story of the human experience and create meaningful change.

The PhD in Research Methodology requires 60cr hours, the completion of a research portfolio, and a dissertation. Students also participate in a consulting experience, where they conduct a research study and provide consulting assistance to a researcher or organization.

Required Courses

Comprehensive assessment.

A Comprehensive Research Portfolio is required. The portfolio contains three items: a) a report on a research consulting experience, b) a research paper demonstrating the candidates understanding of all phases in the research process and the ability to analyze and interpret data from a research study, and c) a literature review of an issue in the candidate's area of concentration.

Dissertation

A dissertation, as well as an oral defense of the dissertation, is required. Once completed, the final dissertation must be submitted to a publicly accessible database according to Graduate School policy.

Graduate & Professional Standards and Regulations

Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supercede school policies.

Learning Outcomes

You will be able to critically evaluate bodies of knowledge from a variety of methodological traditions, use a variety of software programs to implement analyses, and conduct all stages of a research study in applied settings. Plus, you'll participate in a required consulting experience, where you'll conduct a research study and then provide consulting advice to a researcher or organization.

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PhD in Qualitative Research and Evaluation Methodologies

If you have a deep interest in the methodological, theoretical, and ethical procedures and challenges inherent to social science research and evaluation, this is a program for you. Our students contribute to the methodological and theoretical development of qualitative research and program evaluation.

Our program prepares research methodologists to study and develop theories and methods for conducting empirical and conceptual social science research and evaluation in education and other social science fields. Specifically, this program develops scholars and methodologists who are prepared to contribute to the advancement of innovative theories and methods used in qualitative research and program evaluation.

• Focus on qualitative methodologies with interdisciplinary topics
• Open to students with a variety of educational backgrounds and experiences
• Small cohorts support individual faculty attention and mentorship

Video: Overview of Programs Offered by the Qualitative Research Program

Video: Meet the Qualitative Research Faculty

The organization of the research and evaluation methods degree program recognizes the wide variety of specialties in which you might develop research agendas.

Our mission is to build your capacity to contribute methodological expertise to collaborative research efforts through real-world opportunities in which you develop and practice the skills needed in your area of emphasis. As a result of this experience, you will have a broad knowledge of research methods along with specific expertise in a focused methodology. You can use this knowledge to pursue careers as research methodologists and evaluation specialists in higher education, corporations, and non-profit agencies.

The Ph.D. degree is a 54-credit hour degree program in which students engage in advanced study of qualitative theories and methods, mixed methods, and approaches to evaluation.

• Core Coursework - 21 hours
• Research Seminar - 3 hours
• Elective Coursework - 18 hours
• Internship - 6 hours
• Doctoral hours Minimum of - 3 hours
• Dissertation Minimum of - 3 hours
• TOTAL - 54 hours

Part 1: Apply to the University of Georgia

The Graduate School handles admission for all graduate programs at the University of Georgia, including those in the College of Education. The Graduate School website contains important details about the application process, orientation, and many other useful links to guide you through the process of attending UGA at the graduate level.

Start A Graduate School Application

Part 2: Apply to the Ph.D. in Qualitative Research and Evaluation Methodologies

Please upload the following materials in your online application:

• Personal statement
• Curriculum vitae
• Writing sample (20-25 pages maximum)

Summary of Application Materials

Both the Graduate School and the academic department review application materials simultaneously. The Graduate School then reviews the department’s recommendation and makes the final determination on admission. As an applicant you will receive a formal letter regarding your admission from the Office of Graduate Admissions. You must be admitted to a program to be eligible to register for courses. Admission is granted for a specific semester and is validated by registration for that semester. Applicants must be admitted to the Graduate School before they are eligible to register. International applicants whose primary language is not English must submit scores from the TOEFL or IELTS tests in addition to a Certificate of Finances form. No application will be considered until all materials are received. To apply to the Ph.D. in Qualitative Research and Evaluation Methodologies, applicants must have completed a master’s degree. GRE scores are required for all applications.

Personal Statement

The program requires a personal statement, usually in the form of a letter of 2 to 3 pages, describing your background, work and research experience, interests in research and/or evaluation methodologies, and career aspirations. Specifically, you should be sure to address the following questions:

• What experience or background do you have in research methodologies?
• Why are you interested in the study of qualitative or evaluation methodologies?
• What research or evaluation questions do you hope to pursue, and why?
• In what way will the study of research or evaluation methodologies shape your career?

Writing Sample

You are required to submit a sample of formal writing (20-25 pages maximum). Scholarly or academic writing is preferred whether or not it has been published. If you have not published, recent course papers or work-related reports are appropriate.

Admissions Interviews

After a review of applications, selected applicants will be interviewed by the Ph.D. in Research and Evaluation Methodologies (REM) Admissions Committee early in the Spring semester for a subsequent Fall semester admission.

Deadline To Apply

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Additional Resources

Please use our online form if you have any questions for the department. Please be as specific as possible so that we may quickly assist you.

The College’s programs are taught by dedicated faculty who are experts in a range of areas and are passionate about helping students succeed both in their programs and professionally.

Meet the Faculty View Affiliated Faculty

Most graduate students at UGA are not assigned to a faculty advisor until after admittance. A close working relationship with your advisor is paramount to progressing through your program of study.

Almost all in-state students begin their studies at UGA paying limited tuition or fees. Please note that these amounts are subject to change and are meant to give prospective students an idea of the costs associated with a degree at the University of Georgia College of Education.

Students may qualify for a variety of assistantships, scholarships, and other financial awards to help offset the cost of tuition, housing, and other expenses.

Tuition Rates   Browse Financial Aid

In this program, you will take focused coursework with individual attention from faculty mentors .

Each semester, you will also take part in a seminar that brings together faculty in the qualitative research program to discuss topics of relevance to scholarship and teaching in qualitative research methodologies in higher education.

See for yourself how much UGA College of Education has to offer! Schedule a tour of campus to learn more about the UGA student experience.

Schedule A Visit

Useful Links

• Affiliate Faculty
• Course List
• Graduate Handbook
• Summary of Materials Required by Area of Emphasis
• Projected QUAL Course Schedule
• Qualitative Research Program Community Practices

Testimonials

What first attracted me to the Qualitative Research and Evaluation Ph.D. program was the balance it offers between the philosophy of science and the practical application of research and evaluation. The program’s faculty members are amazing at supporting students’ learning, and at pushing us to be creative, deep thinking, and daring as we explore methodologies. Nuria Jaumot-Pascual, Doctoral Student

My path through the Qualitative Research and Evaluation Ph.D. program had me exploring the depths of qualitative research rarely visited by researchers in the health sciences but that have been essential in my current position as Senior Research Associate at Evidera. Now I find myself often referencing qualitative research theory and history when selecting strategies for new studies or when arranging trainings across my organization. Moreover, the breadth of interests across students in the program provided unique perspectives that enriched my journey. Most of all though, I am impressed with how well the faculty helped guide me through the program, making theory, history, and applied work relevant for my own career goals. Sean Halpin, Former Doctoral Student

I really discovered the world of qualitative research with the Qualitative Research and Evaluation Methodologies Ph.D. program, and the instructors made me adore it. Their support for the students’ learning was so impeccable. They had genial ways to encourage students to think outside the box and to be creative from every point of view, especially when it comes to methodologies. Bidossessi Mariano Ghislain Dossou Kpanou, Former Doctoral Student

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• CORRESPONDENCE
• 02 April 2024

How can we make PhD training fit for the modern world? Broaden its philosophical foundations

• Ganesh Alagarasan 0

Indian Institute of Science Education and Research, Tirupati, India.

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You have highlighted how PhD training assessment has stagnated, despite evolving educational methodologies (see Nature 613 , 414 (2023) and Nature 627 , 244; 2024 ). In particular, you note the mismatch between the current PhD journey and the multifaceted demands of modern research and societal challenges.

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Nature 628 , 36 (2024)

doi: https://doi.org/10.1038/d41586-024-00969-x

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Sister Cells Reveal Cancer’s Fate

A new method traces treatment resistant cells and predicts drugs that can make them more susceptible to cancer therapy..

Aparna is a freelance science writer with a PhD in bioinformatics and genomics at Harvard University. Her writing has also appeared in The Philadelphia Inquirer, Popular Science, PBS NOVA, and more.

View full profile.

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ABOVE: Sister cells have similar molecular profiles, which researchers leveraged to measure different cellular traits in parallel. © iStock, Rost-9D

C ancer is notoriously hard to treat. In part, this is because the cells making up a tumor are heterogeneous, expressing different genes and molecules that determine their response to treatment. Even if a treatment kills most cancer cells, one survivor is enough for the cancer to persist.

As scientists struggled to find these treatment-resistant cells, they turned to an unexpected tool: sister cells. While human sisters may share clothes or toys, sister cells share their gene expression profiles, which could hint at whether the cells are treatment resistant.

In a study published in Nature Communications , researchers at the University of Helsinki presented a new method called ReSisTrace that utilizes sister cells to identify the molecular states driving treatment resistance in cancer cell lines. 1 Guided by these resistance signatures, the researchers devised a method to predict drugs that would sensitize the cells to treatment. 

“We can have data [on] both drug sensitivity and transcriptomics at the single-cell level,” said Jing Tang , a bioinformatician at the University of Helsinki and coauthor of the study. “This is unique and novel, and not available by using other techniques.”

Tang and Anna Vähärautio , a cancer biologist at the University of Helsinki and coauthor of the study, wanted to develop a method that combined lineage tracing—the process of tracking cell fate and offspring—with the ability to profile gene expression in individual cells. However, measuring gene expression in a cell typically destroys it, so scientists cannot trace its lineage at the same time. Enter sister cells: a way to achieve both goals in parallel.

Vähärautio's team devised a method to insert unique DNA barcodes into an ovarian cancer cell line using lentiviral transduction. Then, they allowed the cells to undergo a single division to each produce two sister cells, which they found had similar gene expression profiles. The researchers split the pool of cells in half: in one half, they measured gene expression by single cell RNA-sequencing (scRNA-seq) to construct a picture of each cell’s state, and in the other half, they tested whether the cells responded to certain common cancer treatments.

Using the treatment-resistant cells’ barcodes, the researchers matched them with their sister cells in the pre-treatment pool and analyzed their gene expression profiles. This comparison helped them identify genes that might have caused the cell to evade being killed. 

At first, the researchers tried to focus on individual genes, but they soon realized this approach might not be enough. “We don't know if [the genes] are really driving the resistance or if they are secondary effects,” Vähärautio said. This inspired the team to search the whole transcriptome for broader gene expression signatures of treatment sensitivity or resistance. Vähärautio and Tang suspected that these signatures could even help predict additional drugs that could sensitize the cells to a subsequent treatment.

Using published gene expression data collected from cell lines treated with a variety of compounds, Tang’s team identified potential drugs that could push treatment-resistant cells’ gene expression toward that of treatment-responsive cells. 2 By doing so, the added drug could prime the cells to respond to cancer treatment. Using computational models, the researchers predicted that administering pevonedistat—a drug that inhibits an enzyme involved in protein degradation—before carboplatin chemotherapy would make the cancer cell line that they were studying easier to kill. They tested their predictions and found that pevonedistat pretreatment, and many other predicted compounds, worked synergistically with common cancer therapies to kill the cancer cells. 

These findings came as a pleasant surprise to Vähärautio, and they convinced Tang that this could be a new approach for developing more effective cancer treatments to overcome drug resistance. 

Amy Brock , a bioengineer at the University of Texas at Austin who was not involved in this study, noted that the authors defined gene expression signatures by comparing all resistant cells to all sensitive cells, but that there might be even more patterns hidden in individual resistant cells. “It would be interesting to further examine whether sister cells become resistant via common or distinct mechanisms,” Brock said.

Brock hopes that, with a slew of similar methods to track cell lineages and single-cell gene expression , researchers will now focus on applying these tools to better understand how cells evade specific treatments. 3,4 Vähärautio and Tang are now applying their method to more sample types, including cancer organoids and acute myeloid leukemia cell lines. But Vähärautio thinks this method could even be useful for studying how cells’ states influence their fates in other contexts, such as development or responses to chemicals. With the computational models for drug prediction, ReSisTrace could even identify ways to change these fates.

“I think the method is really widely applicable and can be used to study many different cell state and fate connections,” Vähärautio said.

• Dai J, et al. Tracing back primed resistance in cancer via sister cells . Nat Commun . 2024;15(1):1158.
• Subramanian A, et al. A next generation connectivity map: L1000 platform and the first 1,000,000 profiles . Cell . 2017;171(6):1437-1452.
• Oren Y, et al. Cycling cancer persister cells arise from lineages with distinct programs . Nature . 2021;596(7873):576-582.
• Gutierrez C, et al. Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment . Nat Cancer . 2021;2(7):758-772.

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• MyU : For Students, Faculty, and Staff

CSE DSI Machine Learning Seminar with Renbo Zhao

Frank-wolfe-type methods for minimizing log-homogenous self-concordant barriers.

We present and analyze a new Frank–Wolfe method for minimizing a theta-log-homogenous self-concordant barriers, with applications including positron emission tomography, D-optimal design, TV-regularized Poisson image de-blurring, quantum state tomography. The iteration complexity of our method is essentially O(\theta^2/\epsilon), which recovers that obtained by Khachiyan (1996) on the D-optimal design problem. In addition, we also present and analyze an away-step variant of our proposed Frank–Wolfe method, and we show the global linear convergence of this method. When specialized to the D-optimal design problem, this settles an open problem in Ahipasaoglu, Sun and Todd (2008).

Renbo Zhao is Assistant Professor of Business Analytics in the Tippie College of Business, University of Iowa. He received his PhD in PhD in Operations Research from MIT.

Keller Hall 3-180 and via Zoom .

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