Choosing a research method for a Masters dissertation is not simply about finding the easiest option. Literature reviews, quantitative, qualitative and mixed methods each create different challenges, from ethical approval and recruitment to data analysis, systematic searching and synthesis. Your research question and the existing literature should guide the choice.

Is a literature review easier than empirical research?

Literature reviews are often thought to be easier because you do not need ethical approval, participant recruitment or data collection. However, they can be demanding because you need to search for literature systematically, understand both quantitative and qualitative research, and synthesise different methods and findings into one cohesive document.

Empirical research can look more intimidating, particularly when participant recruitment is involved. However, you can focus on mastering a specific research method, and careful recruitment and data collection planning can make the process more manageable.

Literature reviews may be administratively simpler but demand greater theoretical competence and familiarity with research methods. Empirical studies involve more administrative work but allow you to focus your learning on specific methods. Neither is universally easier.

Which literature review methods are easiest for Masters research?

There is a clearer distinction between literature review methods in terms of difficulty.

Non-systematic narrative reviews are the easiest, but they lack the rigour typically expected at Masters level. Realist reviews are not beginner-friendly because they require familiarity with the method and philosophical traditions such as realism and critical realism.

Policy reviews can work well at Masters level, particularly if you have extensive awareness of relevant documents or professional access to organisations and stakeholders.

Rapid reviews and scoping reviews are generally well suited to Masters-level research. They do not usually require complex statistical tests, although systematic searching, selection and justification of inclusion and exclusion criteria can be challenging.

Systematic reviews are probably the most difficult. A poorly executed systematic review does not count as one, so the standard is high. Meta-analyses and meta-ethnographies add further analytical complexity, while narrative synthesis can make a systematic review more manageable.

Which quantitative research methods are easiest for Masters students?

Survey methods are the most common quantitative approach at postgraduate level. They are relatively easy to create, distribute and manage, but academic rigour still requires justified sample sizes and appropriate testing of reliability and validity.

Secondary data analysis can also be convenient because you do not need to collect the data yourself. However, access can become a problem, particularly with private datasets, where formal permission and a data management and ethical handling plan may be required.

Observational and cross-sectional studies are manageable when measurements and data collection are properly aligned with your research goals. Access to participants and collecting enough data to avoid superficial findings can be the main challenges.

Quasi-experimental studies are harder to execute because they involve more complex logistics, heightened ethical concerns and statistical challenges such as confounding variables.

Which qualitative research methods are easiest for Masters research?

Interviews are one of the most popular qualitative methods in the UK universities where I teach. They are relatively easy to organise, but effective interviewing requires well-designed questions and the ability to respond analytically during the interview. Interviews can also generate a large amount of data to analyse.

Focus groups are more difficult logistically because several participants need to be available at the same time. They also require facilitation skills. When managed well, however, focus groups can produce rich, focused data and reveal patterns that might take more effort to identify through interviews.

Some qualitative methodologies are better avoided at Masters level, particularly for students who are new to research. Critical realism can be conceptually dense, while phenomenology is often used superficially without reaching the necessary depth. Narrative and general constructivist approaches are more accessible. Ethnography and case studies can also demand large or multiple datasets, whereas a single data source may be sufficient for beginners.

Should you use a mixed methods research design?

Mixed methods research combines different research approaches, but I often dissuade students from using it because the study can frequently focus on one method instead.

However, mixed methods can work well if you already have expertise in one research approach and want to explore the other while still leveraging your existing strengths. It can allow you to learn from the research process while making use of what you already know.

The main concern is manageability. You need to be able to handle the amount of data generated by different research approaches, as well as the difficulty of synthesising those different types of data into a coherent study.

How should you choose a research method for your Masters dissertation?

Research methods should ultimately be decided by the research gaps and the available literature. These should tell you what method or methods are needed for you to contribute knowledge to the field. Only then should you consider how easy the method will be for you to carry out.

Ease will vary between students depending on their skills, experience and circumstances. There are also methods that may be unsuitable at Masters level, particularly for beginners.

Sometimes you can reposition your research idea slightly to create a stronger rationale for a research method you want to use. However, that rationale needs to hold. If it does not, you do not have a viable study.

If you're applying this to your own research and want a second pair of eyes: research support