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Hypothesis Based vs. Grounded Theory

By: Margarita Rayzberg
Filed in: Cultural Studies
I don’t have an academic background in theory. My undergraduate degree was in international business at a practice-oriented university where the only primary texts I was ever required to read were annual reports. Learning how to manipulate theory was and remains one of the reasons I chose CCT. But the application of theory, as any other tool, is continually evolving which makes mastering it that much more difficult.

Most of my classes, regardless of content, have taken what I would call a “hypothesis based” approach to theory: you start with one and try to explain some baffling phenomenon using it. And if there are externalities, well, then you try to figure out what doesn’t fit and why it doesn’t. I find this to be a fruitful approach; the fact that “evidence” might not completely adhere to a theory makes for additional interesting research. This method also implies legitimacy. Often, these theories were created by individuals who have taken the time to seriously examine our world. They are time and context tested. They are grand, elegant, and self-contained and therefore lend themselves to analyses with the same characteristics.

Lately, however, I am witnessing an increasing interest in grounded theory. Bear with my Wikipedia explanation of this, as I have never actually used this approach, not in any real way. In grounded theory, instead of beginning with a theoretical framework which is then applied to the studied phenomenon, one begins with data collections. This data is then analyzed using codes, concepts, and categories which lead to the formation of a theory. It is an iterative process which often involves many people. I see the advantages of this approach. It may not be as clean as the former, but it is emergent and collaborative. It seems to allow for more creativity, brainstorming, and ultimately, a truer process of the “creation of meaning”.

At this point I am impartial to either method. But as I think about my thesis and my potential future in academia, I wonder which approach I prefer. What are other advantages and disadvantages of each approach? Might it be that one lends itself more to certain disciplines that the other? Or are they so fundamentally different they create conflict in the way that we approach research?

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marmar1028's picture
Vitak's picture

If deduction and induction were locked in a death match...

As a former thesis writer and one now immersed in this sort of quandary on a regular basis, I thought I might chime in. The deduction (from general to specific) versus induction (specific to general) debate has gone on and will continue to go on, as if one was better than the other. There is no "right" way to conduct research, of course, and the two tend to be cyclical, one leading to the other, leading back to the first, all throughout the research process.

For a thesis, either could be employed. You first start out with a question, something you are curious (and hopefully passionate) about, something you want to know the answer to, something no one else has answered yet. The next step is the tricky one. You could either begin by researching to find out what other people have said about your question, how they tried to answer related questions, etc. Or, you could go out and attempt to observe your question in action in the real world. In some cases, however, this may be difficult, if not impossible.

The most important factor, regardless of the method you follow, is theory. All research should be based in theory; if one doesn't exist specifically about your topic, maybe you should create and test your own. Most likely, however, there are dozens of theories that deal with your topic, if not at the micro level, then most definitely at the macro. I was looking at relationships on Facebook, so I looked to Goffman's theories of presence and Granovetter's work on social ties, and then applied them to my research questions.

While one is not necessarily better than the other, I prefer deduction. Theory can be scary and overwhelming, but the more you immerse yourself in it, the clearer understanding you will have of why things happen the way they happen. If you're lucky, you might even find a situation where the theory does not always apply, or even a new application for the theory.

And that, I must say, feels really great.

The Third Way - Agent Based Modeling or Computational Social Sci

Besides deduction (physics, math, economics) and induction (sociology, political science) there is a third way of doing research (sometimes referred to as the third way of doing science) and that is to grow it artificial life. For example, using a computer program that utilizes heterogenous adaptive (ie learning) agents, simple rules, goals and bounded rationality you can model and test a hypothesis. It's really an interesting way to analyze phenomenon and it's particularly well suited for complex adaptive systems that at the micro level are simple but have complex emergent phenomenon.
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