Advice to empiricists from Alan Grafen

20 08 2014

Spotted in Grafen, A. (1987). Measuring sexual selection: why bother.

advicefield





Some claims psychology students might benefit from discussing

18 08 2014
  1. It’s okay if participants see the logic underlying a self-report questionnaire, e.g., can guess what the subscales are. It’s a self-report questionnaire — how else are they going to complete the thing? (Related: lie scales — too good to be true?)
  2. Brain geography is not sufficient to make psychology a science.
  3. Going beyond proportion of variance “explained” probably is necessary for psychology to become a science.
  4. People learn stuff. It’s worth explicitly thinking about this, especially for complex activities like reasoning and remembering. How much of psychology is the study of cultural artifacts? (Not necessarily a criticism.)
  5. Fancy data analysis is nice but don’t forget to look at descriptives.
  6. We can’t completely know another’s mind, not even with qualitative methods.
  7. Observation presupposes theory (and unarticulated prejudice is the worst kind of theory).
  8. Most metrics in psychology are arbitrary, e.g., what are the units of PHQ-9?
  9. Latent variables don’t necessarily represent unitary psychological constructs. (Related: “general intelligence” isn’t itself an explanation for anything; it’s a statistical re-representation of correlations and these correlations need to be explained.)
  10. Averages are useful but the rest of the distribution is important too.




Individuals versus aggregrates

5 08 2014

“Winwood Reade is good upon the subject,” said Holmes. “He remarks that, while the individual man is an insoluble puzzle, in the aggregate he becomes a mathematical certainty. You can, for example, never foretell what any one man will do, but you can say with precision what an average number will be up to. Individuals vary, but percentages remain constant. So says the statistician.”

The Sign of Four by Sir Arthur Conan Doyle (hat-tip MP)





Did You Used to be R.D. Laing? (Full Documentary)

3 08 2014





“… something more besides [psycho]analysis…”

31 07 2014

“When the ego has taken its defensive measures against an affect for the purpose of avoiding unpleasure, something more besides analysis is required to undo them, if the result is to be permanent. This child must learn to tolerate larger and larger quantities of unpleasure without immediately having recourse to his defense mechanisms. It must, however, be admitted that theoretically it is the business of education rather than of analysis to teach him this lesson.”
—Anna Freud (1966, pp. 64-65)

Reference

Freud, A. (1966). The ego and the mechanisms of defense (revised ed.). New York: International Universities Press.





Hypotheses for forces affecting use of routine outcomes monitoring in psychotherapy

27 07 2014

Big diagram in PDF over there





Famous female statisticians

27 07 2014

(Updated 1 Aug 2014 at 12:05 BST)

One of my day jobs is teaching psychology students how to do data analysis. Occasionally I quote famous statisticians—for instance to illustrate ways of thinking about analysis, the subjective nature of modeling data, and other fun things—so tend to mention the likes of William Gosset (Guinness), George Box (all models are wrong), and Bruno de Finetti (probabilities don’t exist).

Most—often all—of my students are women. Most of my current collection of quotations are from men. This is a problem. So, I’m currently looking for examples of famous female statisticians (broadly interpreted; including data scientists, economists, quantitative social scientists). Here’s my current list. Suggestions for others would be most welcome, especially if you have a quotation I can use!

Quotations—work in progress

“The newly mathematized statistics became a fetish in fields that wanted to be sciences. During the 1920s, when sociology was a young science, quantification was a way of claiming status, as it became also in economics, fresh from putting aside its old name of political economy, and in psychology, fresh from a separation from philosophy. In the 1920s and 1930s even the social anthropologists counted coconuts.”
—Deirdre McCloskey, The Trouble with Mathematics and Statistics in Economics

“The Cabinet Ministers, the army of their subordinates… have for the most part received a university education, but no education in statistical method. We legislate without knowing what we are doing. The War Office has some of the finest statistics in the world. What comes of them? Little or nothing. Why? Because the Heads do not know how to make anything of them. Our Indian statistics are really better than those of England. Of these no use is made in administration. What we want is not so much (or at least not at present) an accumulation of facts, as to teach men who are to govern the country the use of statistical facts.”
—Florence Nightingale in a letter to Benjamin Jowett, from Kopf, E. W. (1916). Florence Nightingale as statistician. Publications of the American Statistical Association, 15(116), 388–404.

“To understand God’s thoughts we must study statistics, for these are the measure of His purpose.”
—Florence Nightingale

“The statistician who supposes that his main contribution to the planning of an experiment will involve statistical theory, finds repeatedly that he makes his most valuable contribution simply by persuading the investigator to explain why he wishes to do the experiment.”
—Gertrude M Cox

“It is no use, as statisticians, our being sniffy about the slapdash methods of many sociologists unless we are prepared to try to guide them into more scientifically acceptable thought. To do this, there must be interaction between them and us.”
—Stella V Cunliffe (1976, p. 9). Interaction. Journal of the Royal Statistical Society. Series A (General), 139, 1–19.

Thanks…

… to everyone who sent suggestions; more still welcome, especially quotations (it turns out to be hard work mining someone’s work to find nice quotes!)








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