In this episode, we discuss activism in science. How do political and personal values affect science? When is activism just part of the job? And should one be careful about activism in the classroom? Enjoy.

Shownotes:

• Frisby, C. L., Redding, R. E., & O’Donohue, W. T. (2023). Ideological and Political Bias in Psychology: An Introduction. In Ideological and Political Bias in Psychology: Nature, Scope, and Solutions (pp. 1-14). Cham: Springer International Publishing.
• McCaughey, M. (2023). The Trouble with Scholar-Activists. AAUP.
• McCaughey, M. (2024). Against Scholar Activists. The James G. Martin Center for Academic Renewal.
• Honeycutt, N., & Jussim, L. (2023). Political bias in the social sciences: A critical, theoretical, and empirical review. Ideological and Political Bias in Psychology: Nature, Scope, and Solutions, 97-146.
• Sargent, R. M. (2012). From Bacon to Banks: The vision and the realities of pursuing science for the common good. Studies in History and Philosophy of Science Part A, 43(1), 82-90.
• Weber, M. (1946). Science as a Vocation. In Science and the Quest for Reality (pp. 382-394). London: Palgrave Macmillan UK.

In this episode, we continue our discussion of replications. We talk about how to analyze replication studies, which studies are worth replicating, and what is the status of replications in other scientific disciplines.

Shownotes

• Mack, R. W. (1951). The Need for Replication Research in Sociology. American Sociological Review, 16(1), 93–94. https://doi.org/10.2307/2087978
• Smith, N. C. (1970). Replication studies: A neglected aspect of psychological research. American Psychologist, 25(10), 970–975. https://doi.org/10.1037/h0029774
• Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology (New edition). Cambridge Center for Behavioral.
• Ebersole, C. R., Mathur, M. B., Baranski, E., Bart-Plange, D.-J., Buttrick, N. R., Chartier, C. R., Corker, K. S., Corley, M., Hartshorne, J. K., IJzerman, H., Lazarević, L. B., Rabagliati, H., Ropovik, I., Aczel, B., Aeschbach, L. F., Andrighetto, L., Arnal, J. D., Arrow, H., Babincak, P., … Nosek, B. A. (2020). Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability. Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920958687
• Isager, P. M., van Aert, R. C. M., Bahník, Š., Brandt, M. J., DeSoto, K. A., Giner-Sorolla, R., Krueger, J. I., Perugini, M., Ropovik, I., van ’t Veer, A. E., Vranka, M., & Lakens, D. (2023). Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints. Psychological Methods, 28(2), 438–451. https://doi.org/10.1037/met0000438
• Aldhous, P. (2011). Journal rejects studies contradicting precognition. New Scientist. https://www.newscientist.com/article/dn20447-journal-rejects-studies-contradicting-precognition/
• Stanley, D. J., & Spence, J. R. (2014). Expectations for Replications: Are Yours Realistic? Perspectives on Psychological Science, 9(3), 305–318. https://doi.org/10.1177/1745691614528518
• Simonsohn, U. (2015). Small telescopes: Detectability and the evaluation of replication results. Psychological Science, 26(5), 559–569. https://doi.org/10.1177/0956797614567341
• Nosek, B.A., Errington, T.M. (2017) Reproducibility in Cancer Biology: Making sense of replications. eLife 6:e23383. https://doi.org/10.7554/eLife.23383

In the next two episodes, we will discuss replication studies, which are essential to building reliable scientific knowledge.

Shownotes

• Mack, R. W. (1951). The Need for Replication Research in Sociology. American Sociological Review, 16(1), 93–94. https://doi.org/10.2307/2087978
• Smith, N. C. (1970). Replication studies: A neglected aspect of psychological research. American Psychologist, 25(10), 970–975. https://doi.org/10.1037/h0029774
• Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology (New edition). Cambridge Center for Behavioral.
• Ebersole, C. R., Mathur, M. B., Baranski, E., Bart-Plange, D.-J., Buttrick, N. R., Chartier, C. R., Corker, K. S., Corley, M., Hartshorne, J. K., IJzerman, H., Lazarević, L. B., Rabagliati, H., Ropovik, I., Aczel, B., Aeschbach, L. F., Andrighetto, L., Arnal, J. D., Arrow, H., Babincak, P., … Nosek, B. A. (2020). Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability. Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920958687
• Isager, P. M., van Aert, R. C. M., Bahník, Š., Brandt, M. J., DeSoto, K. A., Giner-Sorolla, R., Krueger, J. I., Perugini, M., Ropovik, I., van ’t Veer, A. E., Vranka, M., & Lakens, D. (2023). Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints. Psychological Methods, 28(2), 438–451. https://doi.org/10.1037/met0000438
• Aldhous, P. (2011). Journal rejects studies contradicting precognition. New Scientist. https://www.newscientist.com/article/dn20447-journal-rejects-studies-contradicting-precognition/
• Stanley, D. J., & Spence, J. R. (2014). Expectations for Replications: Are Yours Realistic? Perspectives on Psychological Science, 9(3), 305–318. https://doi.org/10.1177/1745691614528518
• Simonsohn, U. (2015). Small telescopes: Detectability and the evaluation of replication results. Psychological Science, 26(5), 559–569. https://doi.org/10.1177/0956797614567341

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. M. (1980). Stigler’s Law of Eponymy*. Transactions of the New York Academy of Sciences, 39(1 Series II), 147–157. https://doi.org/10.1111/j.2164-0947.1980.tb02775.x
• Clarke, A. C. (Arthur C. (1962). Profiles of the future: An inquiry into the limits of the possible. New York : Bantam Books. http://archive.org/details/profilesoffuture00clar
• Brandolini’s Law: Based on a tweet, after reading Kahneman Thinking fast and slow: https://twitter.com/ziobrando/status/289635060758507521
• Preston, I. L. (1980). Researchers at the Federal Trade Commission—Peril and Promise. Current Issues and Research in Advertising, 3(1), 1–15.
• Twyman’s Law: “The more unusual or interesting the data, the more likely they are to have been the result of an error of one kind or another.” Earliest scholarly reference is in Journal of the Royal Statistical Society, Series A, Vol 138, No 4, 1975. The Teaching of Statistics by A. S. C. Ehrenberg.
• Bloch, A. (1990). Murphy's law complete: All the reasons why everything goes wrong. Arrow Books Limited.

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). Exposing omitted moderators: Explaining why effect sizes differ in the social sciences. Proceedings of the National Academy of Sciences, 121(12), e2306281121. https://doi.org/10.1073/pnas.2306281121
• Lakens, D., & Etz, A. J. (2017). Too True to be Bad: When Sets of Studies With Significant and Nonsignificant Findings Are Probably True. Social Psychological and Personality Science, 8(8), 875–881. https://doi.org/10.1177/1948550617693058

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). Toward a universal law of generalization for psychological science. Science, 237(4820), 1317–1323.