Finding Meaning in Research

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Gregg Henriques' Tree of Knowledge System

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I very much enjoyed recent exchange on Psychotherapy Brown Bag. I find myself frequently thinking of the implications of our approach to research and how it contributes to our understanding of psychology.

Intuition is, by no means, useless. A half-century ago, Karl Popper (1959) gave an answer to this that today remains powerfully compelling. Intuition, inductive reasoning, and philosophical theories are extremely valuable as the first step of a multi-step process. He termed this step the "context of discovery." His point was that we need creative thought, outside-the-box thinking, and alternative perspectives in order to drive progress, but that our thoughts, no matter how elegant, can not be the end point. We need to follow up this stage with deductive reasoning - testing our theories to see which ones are backed up by facts and which ones are clouded by flawed reasoning.

In this sense, science becomes a series of competing theories, each of which builds upon the past and corrects a variety of prior errors. No theory is pefect, most if not all are eventually overturned by others, and progress continues. Our progress, however, is marked by the evidence supporting our claims, not by the strength of our beliefs in our cause without reflection upon the evidence for its validity.

Not only can our interpretations effect how we see and use a research finding, but the assumptions we bring to the research effects our choice of hypothesis and measurement target. Wood et al.(2009) pre-publication manuscript has gotten much press inappropriately proclaiming that positive affirmations may in fact harm those those most in need, those with low self-esteem. As I stated in an article I wrote about these conclusions, there was I believe an error in one of the basic assumptions of the research. Wood and her colleagues assumed negative feelings after affirmations demonstrated harm. A review of basic theory might have captured what I believe was actually happening, the subjects were beginning a process of extinguishing their conditioned negative emotional response.

It seems researchers have drifted away from embedding their investigations in theory. Few authors seem willing to delve into the grand theoretical formulations as a basis for their research. For that reason, it's difficult to apply the results to much more than the specifics of the research setting. You've been discussing intuition as it impacts research. I think theory serves as a check on intuition.

I think one of the most important recent grand psychological theories was Henriques "Tree of Knowledge", yet I've caught little written about it since 2003 other than my humble attempt. I think this model provides us with a framework for these sorts of discussions. The link between psychology's investigation of the mind and interpreting the meaning of behavior (The Justification Hypothesis) is where data meets intuition, where research interfaces with theory. Ever since studying psychometrics I've integrated the concept of validity and reliability into my thinking about the theoretical interpretation of data. Reliable data that that is consistent wwith the hypothesis of the study, (predictive validity) set in a meaningful context (content and construct validity), give us an opportunity to further our understanding of the meaning of human behavior in it's cultural context (construct validity). Yet I've never seen the concepts applied outside of psychometrics where they certainly seem to belong. Perhaps its again related to researchers reluctance to bringing a theoretical discussion to their research.

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1 Comments

Another great article - and we truly enjoyed the exchange on PBB as well.

Your point is such a good one. In the very first days of graduate schools, we were introduced to the idea of a nomological network (Cronbach & Meehl, 1955). The nomological net represents all of the findings relevant to your hypotheses - data that contextualizes your own results. A good a priori hypothesis, they said, must fit within a nomological net, which justifies you investigation. If you are looking at an entirely new topic, your net will be smaller and your conclusions more tempered. If you are building upon more well established ideas, on the other hand, your net will be immense and you must check your data to ensure that it fits within its confines.

Without a nomological net, we are simply making empty assumptions without investigating whether or not our ideas actually reflect the world around us. For entirely novel ideas, this is reasonable enough, but like Popper said, it can only serve as the very beginning - a call to further action in later research - and not the basis for firm conclusions.

It's unfortunate that - at least in my opinion - these concepts are so abstract and difficult to convey because they are immensely important. Thinking back to the first days of learning about these concepts, I remember being horrified by reading about them, but not I am grateful that I was forced to do so!

Here's a better description of the net:
http://en.wikipedia.org/wiki/Nomological_network

Thanks for writing this - I'm really enjoying this site.

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