Previous Cake Club target papers
π McNeish, D. (2025). How Do Psychologists Determine Whether a Measurement Scale Is Good? A Quarter-Century of Scale Validation with Hu & Bentler (1999). Annual Review of Psychology. https://doi.org/10.1146/annurev-psych-121924-104021
π° Sacher cake
π° Lemon meringue cake
π Wulff, D. U., & Mata, R. (2025). Escaping the jingle–jangle jungle: Increasing conceptual clarity in psychology using large language models. PsyArxiv. https://doi.org/10.31234/osf.io/ksuh8_v1
π° Raspberry cream cake
π° Caramel cake
π Echenique, F., & He, K. (2024). Screening p-hackers: Dissemination noise as bait. Proceedings of the National Academy of Sciences, 121(21), e2400787121. https://doi.org/10.1073/pnas.2400787121
π° Butter cream cake
π° Fruit curd cake
π Spiess, A.-N., RΓΆdiger, S., Schaks, M., Burdukiewicz, M., & Tellinghuisen, J. (2024). Scientific reasoning driven by influential data: Resuscitate dfstat! BioRXiv https://doi.org/https://doi.org/10.1101/2024.10.30.621016
π° Coconut Almond Flake Cake
Discussion summary (posted on PubPeer)
π Moshagen, M., Musch, J., & Erdfelder, E. (2012). A stochastic lie detector. Behavior Research Methods, 44, 222-231. https://doi.org/10.3758/s13428-011-0144-2
π° Cinnamon Rolls
π Stosic, M. D., Murphy, B. A., Duong, F., Fultz, A. A., Harvey, S. E., & Bernieri, F. (2024). Careless Responding: Why Many Findings Are Spurious or Spuriously Inflated. Advances in Methods and Practices in Psychological Science, 7(1), 25152459241231580. https://doi.org/10.1177/25152459241231581
π° Lemon & blueberry sponge
π Wulff, D. U., & Mata, R. (2023). Automated jingle–jangle detection: Using embeddings to tackle taxonomic incommensurability. https://doi.org/10.31234/osf.io/9h7aw
π° Argovian Carrot Cake
π John, Y. J., Caldwell, L., McCoy, D. E., & Braganza, O. (in press). Dead rats, dopamine, performance metrics, and peacock tails: proxy failure is an inherent risk in goal-oriented systems. Behavioral and Brain Sciences. https://doi.org/10.1017/S0140525X23002753
π° Chocolate sponge loaf
π McManus, R. M., Young, L., & Sweetman, J. (in press). Psychology is a property of persons, not averages or distributions: Confronting the group-to-person generalizability problem in experimental psychology. Advances in Methods and Practices in Psychological Science.
π° Blondie bites with peanuts and cholocate
π° Chocolate Swiss roll
π Haucke, M., Hoekstra, R., & Van Ravenzwaaij, D. (2021). When numbers fail: Do researchers agree on operationalization of published research? Royal Society Open Science, 8(9), 191354. https://doi.org/10.1098/rsos.191354
π° Armenian Perok
Discussion summary (posted on PubPeer)
π Murayama, K., & Jach, H. (2023). A critique of motivation constructs: Motivation as psychological construction, not the determinant of behavior (Preprint). PsyArxiv. https://doi.org/10.31234/osf.io/juxkh
π° Carrot cake
π° Stracciatella cake
π Kopalle, P. K., & Lehmann, D. R. (1997). Alpha inflation? The impact of eliminating scale items on Cronbach's alpha. Organizational Behavior and Human Decision Processes, 70(3), 189-197. https://doi.org/10.1006/obhd.1997.2702
π° Rhubarb strawberry cheesecake
π° Raspberry curd cake
π Cobb, C. L., Crumly, B., Montero-Zamora, P., Schwartz, S. J., & Martínez, C. R., Jr. (2023). The problem of miscitation in psychological science: Righting the ship. American Psychologist. Advance online publication. https://doi.org/10.1037/amp0001138
π° All cake records up to this paper were destroyed in a tragic fire accident.
π Bainbridge, T. F., Ludeke, S. G., & Smillie, L. D. (2022). Evaluating the Big Five as an organizing framework for commonly used psychological trait scales. Journal of Personality and Social Psychology, 122(4), 749–777. https://doi.org/10.1037/pspp0000395
π Zheng, S., & Becker, I. (2022). Presenting Suspicious Details in {User-Facing} E-mail Headers Does Not Improve Phishing Detection. In Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022) (pp. 253-271). https://dl.acm.org/doi/10.5555/3563609.3563623
π Hughes, S., Cummins, J., & Hussey, I. (2022). Effects on the Affect Misattribution Procedure are strongly moderated by influence awareness. Behavior Research Methods, 1-29. https://doi.org/10.3758/s13428-022-01879-4
π Flake, J. K., Davidson, I. J., Wong, O., & Pek, J. (2022). Construct validity and the validity of replication studies: A systematic review. American Psychologist. https://doi.org/10.31234/osf.io/369qj
π Burris, C. T. & Leitch, R. (2018). Harmful fun: Pranks and sadistic motivation. Motivation and Emotion, 42(1), 90–102. https://doi.org/10.1007/s11031-017-9651-5
π Akram, U., Drabble, J., Cau, G., Hershaw, F., Rajenthran, A., Lowe, M., Trommelen, C. & Ellis, J. G. (2020). Exploratory study on the role of emotion regulation in perceived valence, humour, and beneficial use of depressive internet memes in depression. Scientific Reports, 10, Artikel 899. https://doi.org/10.1038/s41598-020-57953-4
π Kramer, A. D. I., Guillory, J. E. & Hancock, J. T. (2014). Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences of the United States of America, 111(24), 8788–8790. https://doi.org/10.1073/pnas.1320040111
π Hodson, G. (2021). Construct jangle or construct mangle? Thinking straight about (nonredundant) psychological constructs. Journal of Theoretical Social Psychology, 00, 1– 15. https://doi.org/10.1002/jts5.120
π Dietvorst, B. J., Simmons, J. P. & Massey, C. (2015). Algorithm aversion: people erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126. https://doi.org/10.1037/xge0000033
π Fiedler, K., Harris, C. & Schott, M. (2018). Unwarranted inferences from statistical mediation tests – An analysis of articles published in 2015. Journal of Experimental Social Psychology, 75, 95–102. https://doi.org/10.1016/j.jesp.2017.11.008
π Kosinski, M. (2021). Facial recognition technology can expose political orientation from naturalistic facial images. Scientific Reports, 11, Artikel 100. https://doi.org/10.1038/s41598-020-79310-1
π Rule, J. S., Tenenbaum, J. B. & Piantadosi, S. T. (2020). The Child as Hacker. Trends in Cognitive Sciences, 24(11), 900–915. https://doi.org/10.1016/j.tics.2020.07.005
π LaziΔ, A. & Ε½eΕΎelj, I. (2021). A systematic review of narrative interventions: Lessons for countering anti-vaccination conspiracy theories and misinformation. Public Understanding of Science, 30(6), 644–670. https://doi.org/10.1177/09636625211011881
π Skjuve, M., Følstad, A., Fostervold, K. I. & Brandtzaeg, P. B. (2021). My Chatbot Companion - a Study of Human-Chatbot Relationships. International Journal of Human-Computer Studies, 149, Artikel 102601. https://doi.org/10.1016/j.ijhcs.2021.102601
π Scrivner, C., Johnson, J. A., Kjeldgaard-Christiansen, J. & Clasen, M. (2021). Pandemic practice: Horror fans and morbidly curious individuals are more psychologically resilient during the COVID-19 pandemic. Personality and Individual Differences, 168, Artikel 110397. https://doi.org/10.1016/j.paid.2020.110397
π Bechade, L., Duplessis, G. D. & Devillers, L. (2016). Empirical Study of Humor Support in Social Human-Robot Interaction. In N. Streitz & P. Markopoulos (Hrsg.), Distributed, Ambient and Pervasive Interactions (S. 305–316). Springer International Publishing. https://doi.org/10.1007/978-3-319-39862-4_28
π Andres, J., schraefel, m., Semertzidis, N., Dwivedi, B., Kulwe, Y. C., Kaenel, J. von & Mueller, F. F. (04212020). Introducing Peripheral Awareness as a Neurological State for Human-computer Integration. In R. Bernhaupt, F. '. Mueller, D. Verweij, J. Andres, J. McGrenere, A. Cockburn, I. Avellino, A. Goguey, P. Bjørn, S. Zhao, B. P. Samson & R. Kocielnik (Hrsg.), Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (S. 1–13). ACM. https://doi.org/10.1145/3313831.3376128
π Junker, A., Hutters, C., Reipur, D., Embøl, L., Nilsson, N. C. & Nordahl, R. (10252020). Virtual Womb. In D. Lamas, H. Sarapuu, I. Šmorgun & G. Berget (Hrsg.), Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society (S. 1–8). ACM. https://doi.org/10.1145/3419249.3420159
π Hoogeveen, S., Sarafoglou, A. & Wagenmakers, E.βJ. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully. Advances in Methods and Practices in Psychological Science, 3(3), 267–285. https://doi.org/10.1177/2515245920919667
π Venard, B. (2019). The determinants of individual cyber security behaviours: Qualitative research among French students. In 2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). https://doi.org/10.1109/CyberSA.2019.8899648
π Grames, E. M., Stillman, A. N., Tingley, M. W. & Elphick, C. S. (2019). An automated approach to identifying search terms for systematic reviews using keyword co-occurrence networks. Methods in Ecology and Evolution, 10(10), 1645–1654. https://doi.org/10.1111/2041-210X.13268
π Hussey, I. & Hughes, S. (2020). Hidden Invalidity Among 15 Commonly Used Measures in Social and Personality Psychology. Advances in Methods and Practices in Psychological Science, 3(2), 166–184. https://doi.org/10.1177/2515245919882903
π Talamas, S. N., Mavor, K. I. & Perrett, D. I. (2016). Blinded by Beauty: Attractiveness Bias and Accurate Perceptions of Academic Performance. PLOS ONE, 11(2), Artikel e0148284. https://doi.org/10.1371/journal.pone.0148284
π Wendt, C. S. & Berg, G. (2009). Nonverbal humor as a new dimension of HRI. In RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication, 183-188. https://doi.org/10.1109/ROMAN.2009.5326230
π Venkatanathan, J., Kostakos, V., Karapanos, E. & Gonçalves, J. (2014). Online Disclosure of Personally Identifiable Information with Strangers: Effects of Public and Private Sharing. Interacting with Computers, 26(6), 614–626. https://doi.org/10.1093/iwc/iwt058
π van der Lippe, T. & Lippényi, Z. (2020). Beyond Formal Access: Organizational Context, Working From Home, and Work–Family Conflict of Men and Women in European Workplaces. Social Indicators Research, 151(2), 383–402. https://doi.org/10.1007/s11205-018-1993-1
π Goodman, J. K., Cryder, C. E. & Cheema, A. (2013). Data Collection in a Flat World: The Strengths and Weaknesses of Mechanical Turk Samples. Journal of Behavioral Decision Making, 26(3), 213–224. https://doi.org/10.1002/bdm.1753
π Lu, L. & Gursoy, D. (2017). Does offering an organic food menu help restaurants excel in competition? An examination of diners’ decision-making. International Journal of Hospitality Management, 63, 72–81. https://doi.org/10.1016/j.ijhm.2017.03.004
π Halali, E., Meiran, N. & Shalev, I. (2017). Keep it cool: temperature priming effect on cognitive control. Psychological Research, 81(2), 343–354. https://doi.org/10.1007/s00426-016-0753-6
π Waytz, A., Dungan, J. & Young, L. (2013). The whistleblower's dilemma and the fairness–loyalty tradeoff. Journal of Experimental Social Psychology, 49(6), 1027–1033. https://doi.org/10.1016/j.jesp.2013.07.002
π Oppenheimer, D. M. (2006). Consequences of erudite vernacular utilized irrespective of necessity: problems with using long words needlessly. Applied Cognitive Psychology, 20(2), 139–156. https://doi.org/10.1002/acp.1178
π Watt, C. (2014). Precognitive dreaming: Investigating anomalous cognition and psychological factors. Journal of Parapsychology, 78(1), 115–125. https://www.research.ed.ac.uk/en/publications/precognitive-dreaming-investigating-anomalous-cognition-and-psych
π Rohrer, J. M. (2018). Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data. Advances in Methods and Practices in Psychological Science, 1(1), 27–42. https://doi.org/10.1177/2515245917745629