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On learning methods (or why PhD students should learn more than one method).

Writer's picture: Jason ThatcherJason Thatcher

I was recently asked to clarify my opinion on research methods.


My questioner noted that I said to do more than learn methods - but that meant they had to allocate more time to reading theory.



So what method to study?


My answer - it doesn’t matter - what matters is learning two well.


My questioner paused. Two?


This made me pause.


I was about to go down a rabbit hole.


In my field, we talk a lot about mixed-method work.


I see a lot of value in it - but - I don’t think everyone should master both qualitative and quantitative work.


One could also master two approaches to either stance on research.


What is important is to master two complementary methods and the ability to draw inferences across them.


Why?


Because in my field, we are using more and more mixed-method approaches to establishing association and causation between constructs - either in the main analysis or in the appendixes.


Given that faculty often struggle to find time to learn new methods, the more thoroughly you can master one or two methods - the better the foundation for your career.


So what does that mean?


Take time to survey your discipline and adjacent disciplines.


Ask what methods you see used in recent publications, what resources are available for you to learn the methods, and as best you can match them.


Then take to secure data needed to learn to apply them - it’s better to use actual data - bc it presents a more authentic learning experience.


You need to do more than learn how to run the analysis - you also need to learn how to design a study that fits each method - including the measurement of concepts.


What do you get out of it?


First, you learn how to pick up methods. By mastering two, you start building a capacity that comes in handy as your career unfolds.


Second, you are better able to describe a phenomenon. Even if your field demands just one monomethod study, you will be more able (and apt) to select a method that fits your research question.


Third, you can draw meta-inferences - from insight gleaned from the distinct advantages of each method.


Fourth, you can craft more persuasive arguments for audiences in practice and academia.


Finally, you will become more open-minded.


Through learning a second method, I found that I had to value and appreciate the challenge and solutions to different types of design and analysis.


It helped me see the benefits of many methods, including the unfamiliar.


I recognize that finding time to master many competencies can be challenging - but you will do better for a long academic career.


Best of luck.




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