Nullius in Verba

Smith, N. C. (1970). Replication studies: A neglected aspect of psychological research. American Psychologist, 25(10), 970–975. https://doi.org/10.1037/h0029774

In this episode, we discuss a fun mix of eponymous laws, which are laws named after individuals who postulate them.    Shownotes Campbell, D. T. (1979). Assessing the impact of planned social change. Evaluation and Program Planning, 2(1), 67–90. https://doi.org/10.1016/0149-7189(79)90048-X Merton, R. K. (1995). The Thomas Theorem and the Matthews Effect. Social Forces, 74(2), 379–422. Stigler, S....

In this final episode of the three-part series on the Philosophical Psychology lectures by Paul Meehl, we discuss lectures 6-8, which cover the ten obfuscating factors in "soft areas" of psychology and a host of advice Meehl provides for researchers, reviewers, editors, and educators on how to improve practice.    Shownotes Krefeld-Schwalb, A., Sugerman, E. R., & Johnson, E. J. (2024). Exposin...

In this episode, we continue the discussion of Meehl's Philosophy of Psychology course, focusing on lectures 3 , 4 , and 5 .    Shownotes The quote "Don't make a mockery of honest ad-hockery" is probably from Clark Glymour: https://en.wikipedia.org/wiki/Clark_Glymour Good, I. J. (1965). The Estimation of Probabilities: An Essay on Modern Bayesian Methods. M.I.T. Press. Shepard, R. N. (1987). Towar...

Faust, D., & Meehl, P. E. (1992). Using scientific methods to resolve questions in the history and philosophy of science: Some illustrations. Behavior Therapy, 23(2), 195–211. https://doi.org/10.1016/S0005-7894(05)80381-8

Video lectures: https://meehl.umn.edu/video   Faust, D., & Meehl, P. E. (1992). Using scientific methods to resolve questions in the history and philosophy of science: Some illustrations. Behavior Therapy, 23(2), 195–211. https://doi.org/10.1016/S0005-7894(05)80381-8 Serlin, R. C., & Lapsley, D. K. (1985). Rationality in psychological research: The good-enough principle. American Psycholog...

In advance of the next three episodes discussing the Philosophical Psychology lectures by Paul E. Meehl, we present a brief reading from his autobiography in A history of psychology in autobiography. Meehl, P. E. (1989). Paul E. Meehl. In G. Lindzey (Ed.), A history of psychology in autobiography (Vol. 8, pp. 337–389). Stanford, CA: Stanford University Press.

In this episode, we discuss objectivity and disinterestedness in science. We talk about norms, values, interests, and objectivity in research practice, peer review, and hiring decisions. Is it possible to be completely objective? Is objectivity a feature of epistemic products or epistemic processes? And most importantly, how would you objectively rate this podcast?   Shownotes Armstrong, J. S. (19...

In this episode, we discuss the role of criticism in science. When is criticism constructive as opposed to obsessive? What are the features of fair and useful scientific criticism? And should we explicitly teach junior researchers to both give and accept criticism?   Shownotes: Babbage, C. (1830). Reflections on the Decline of Science in England: And on Some of Its Causes. Prasad, Vinay, and John...

In this episode, we continue discussing Dubin’s 8-step method for theory building. We discuss the measurement of theoretical constructs, using logical propositions to make falsifiable predictions from theories, and the importance of specifying boundary conditions.    Shownotes Jaccard, J., & Jacoby, J. (2010). Theory Construction and Model-building Skills: A Practical Guide for Social Scientis...

In this episode we discussed the 8-step method of theory building proposed by Robin Dubin in his classic 1969 book Theory Building.   Shownotes Dubin, R. (1969). Theory building. Free Press. http://catalog.hathitrust.org/api/volumes/oclc/160506.html Lynham, S. A. (2002). Quantitative Research and Theory Building: Dubin’s Method. Advances in Developing Human Resources, 4(3), 242–276. https://doi.or...

In this episode, we discuss the barriers to cumulative science, including inconsistent measurement tools, overreliance on single studies, and the large volume of research publications. Can replications, interdisciplinary collaborations, and prospective meta-analyses help us solve this issue? Can AI solve all our problems?  And do most scientists treat their theories like toothbrushes?   Shownotes...

A reading of: Forscher, B. K. (1963). Chaos in the Brickyard. Science, 142(3590), 339–339. https://doi.org/10.1126/science.142.3590.339

In today’s episode, we continue our conversation about preregistration. How flexible can we be when we preregister, without increasing flexibility in our analysis? How well do people preregister, and what does a good preregistration look like? And how do we deal with deviations from preregistrations?   Shownotes   Dubin, R. (1969). Theory building. Free Press. His full quote is: "There is no more...

In this two part episode we discuss the fine art of preregistration. We go back into the history of preregistration, its evolution, and current use. Do we preregister to control the Type 1 error rate, or to show that we derived our prediction from theory a priori? Can and should we preregister exploratory or secondary data analysis? And how severe is the issue of severe testing?   Shownotes Clinic...

In the first episode of 2024, we discuss the double-edged sword: reverence to authority. Should scientists respect others on whose shoulders they stand? Or should they be wary of appeal to authority? How should scientists deal with other sources of authority in science, like for example, the government or academic societies? And how can we differentiate true expertise from mere authority?  Enjoy. ...

The Fixation of Belief. Charles S. Peirce. Popular Science Monthly 12 (November 1877), 1-15. http://peirce.org/writings/p107.html  

In this second installment of The Anticreativity Letters, we continue discussing the Tempter's tactics for stifling creativity and how to overcome them. 

In the first of a two-part episode, we discuss The Anticreativity Letters by Richard Nisbett, in which a senior "tempter" advises a junior tempter on ways to prevent a young psychologist from being a productive and creative scientist. Nisbett, R. E. (1990). The anticreativity letters: Advice from a senior tempter to a junior tempter. American Psychologist, 45(9), 1078–1082. BMJ Christmas issue: ht...

A reading of: Nisbett, R. E. (1990). The anticreativity letters: Advice from a senior tempter to a junior tempter. American Psychologist, 45(9), 1078–1082. https://doi.org/10.1037/0003-066X.45.9.1078

In today’s episode, we discuss the role of mentorship in academia. What are the characteristics of a good mentor-mentee relationship? What are the qualities of good mentors and good mentees? Does mentorship play a role in the development of scientific knowledge? And could mentors and mentees benefit from couples therapy? Note: D.I.H.C is pronounced 'dick' but this is meant to be a family-friendly...

In this episode, we discuss the role of trust in science. Why should we verify but trust other scientists? What are the prerequisites for building trust within the scientific community? Who is ultimately responsible for verifying our claims and practices that bolster those claims? And should we give personality tests to everyone who enters academia?   Shownotes Hardwig, J. (1991). The role of trus...

In advance of our episode Verify but Trust, a reading of John Hardwig's paper The Role of Trust in Science.  Hardwig, J. (1991). The role of trust in knowledge. The Journal of Philosophy, 88(12), 693–708.

In today’s episode, we discuss the peer review process---its history, its present, and its future. How does peer review work? How long has it existed in its current form? Should reviews be open and signed? Should reviewers be paid for their hard labor? Should we just abandon the peer review process, or does it have a positive role to play?    Shownotes Peer Community in Registered Reports: https:/...

In this episode, we discuss Quantifauxcation , described by statistician Philip Stark as “situations in which a number is, in effect, made up, and then is given credence merely because it is quantitative.” We give examples of quantifauxcation in psychology, including errors of the third kind. We spend the second half of the podcast discussing how to develop quantitative measures that are meaningfu...