Brands

Photo by Polina Tankilevitch

 

CBT versus counselling. Mental models versus mental rules. Bayesianism versus everything. There are lots of brand wars in psychology which stifle the development of theory and lead to tedious arguments. This does get recognised in print now and again. Here are some examples.

The first comes from a discussion of the ACT-R theory (Anderson, 2007, p. 19):

“… this book is not about ACT-R; rather I am using ACT-R as a tool to describe the mind. […] We may be proud of our ACT-R models and think they are better than others […] but we try not to lose track of the fact that they are just a way of describing what is really of interest.”

Later (p. 239) Anderson cites Herbert Simon, who complained that

“… ‘brand names’ tend to make difficult the analysis and comparison of […] mechanisms or the exchange of knowledge between research groups. […] Physicists did not divide quantum mechanics into the Heisenberg Brand, the Schrodinger Brand, and the Dirac brand.”

Another example, from sociology: a book on social class (Wright, 1997, p. 34):

“Readers who are highly skeptical of the Marxist tradition for whatever reasons might feel that there is no point in struggling through the numbers and graphs in the rest of this book. If the conceptual justifications for the categories are unredeemably flawed, it might be thought, the empirical results generated with those categories will be worthless. This would be, I think, a mistake. The empirical categories themselves can be interpreted in a Weberian or hybrid manner. […] As is usually the case in sociology, the empirical categories are underdetermined by the theoretical frameworks within which they are generated or interpreted.”

References

Anderson, J. R. (2007). How can the human mind occur in the physical universe? Oxford University Press

Wright, E. O. (1997). Class counts: student edition. Cambridge University Press.

“Usefulness” in psychometrics

“Consider, for example, instrumentalism. This view does not invoke truth but usefulness as the primary criterion for the adequacy of scientific theories and measurements. However, we are surely not seriously considering the idea that we have to rule out rivals to the hypothesis that intelligence tests are useful. The Wechsler Adult Intelligence Scale (WAIS; Wechsler, 1955) comes in a big heavy box, which is very useful to hit people on the head with, but the hypothesis that the WAIS is valid for inflicting physical injury is certainly not the kind of hypothesis we are interested in.”

Borsboom, D., Mellenbergh, G.J., & Van Heerden (2004, p. 1065).  The concept of validity. Psychological Review, 111, 1061-1071.

On methodology

“I did not make a deliberate decision to adopt a particular methodology: I had the good fortune to work alongside gifted colleagues from backgrounds in different disciplines, and their various techniques seemed to be producing results. With hindsight, I should describe how one learns from both experiments and intelligent software in terms of the distinction that philosophers draw between the correspondence and the coherence theories of truth. An assertion is true according to the first theory if it corresponds to some state of affairs in the world; true according to the second if it coheres with a set of assertions constituting a general body of knowledge. Experiments provide information about correspondence with the facts, but they exert a dangerous pull in the direction of empirical pedantry, where the only things that count are facts, no matter how limited their purview. Computer programs provide information about the coherence of a set of assumptions, but they exert a dangerous pull in the direction of systematic delusion, where all that counts is internal consistency, no matter how remote from reality. Give up one approach and you turn into a Gradgrind, the teacher in Dicken’s novel Hard Times, whose only concern is with the facts; give up the other and you become an architect for the Flat Earth Society. Those, at least, are the dangers.”

From the prologue to Mental Models by Philip Johnson-Laird

John Fox on SEM

From an Appendix to An R and S-PLUS Companion to Applied Regression:

“A cynical view of SEMs is that their popularity in the social sciences reflects the legitimacy that the models appear to lend to causal interpretation of observational data, when in fact such interpretation is no less problematic than for other kinds of regression models applied to observational data. A more charitable interpretation is that SEMs are close to the kind of informal thinking about causal relationships that is common in social-science theorizing, and that, therefore, these models facilitate translating such theories into data analysis.”