Prüfungsliteratur für die mündlichen Masterprüfungen im FS26
Major Society & Choice

Es gilt zu beachten, dass alle folgenden Angaben ausschliesslich für die ausgewählte Prüfungsperiode gültig sind.

Fragen zur Prüfungsliteratur werden direkt mit den prüfungsberechtigten Personen geklärt.


Majorspezifische Literatur Society & Choice

 

Prüfungsliteratur der prüfungsberechtigten Personen (alphabetisch)

Prof. Dr. Rainer Greifeneder
  • Seery, M. D., & Quinton, W. J. (2016). Understanding resilience: From negative life events to everyday stressors. Advances in Experimental Social Psychology, 54, 181–245. https://doi.org/10.1016/bs.aesp.2016.02.002
  • Douglas, K. M., Uscinski, J. E., Sutton, R. M., Cichocka, A., Nefes, T., Ang, C. S., & Deravi, F. (2019). Understanding conspiracy theories. Political Psychology, 40, 3–35. https://doi.org/10.1111/pops.12568
  • Malle, B. F. (2022). Attribution theories (pp. 93–119). In D. Chadee (Ed.), Theories in social psychology (2nd ed.). https://doi.org/10.1002/9781394266616.ch4
  • Qualter, P., Vanhalst, J., Harris, R., Van Roekel, E., Lodder, G., Bangee, M., Maes, M., & Verhagen, M. (2015). Loneliness across the life span. Perspectives on Psychological Science, 10, 250–264. https://doi.org/10.1177/1745691615568999
Prof. Dr. Mirka Henninger
  • Schmalz, X., Biurrun Manresa, J., & Zhang, L. (2023). What is a Bayes factor? Psychological Methods, 28(3), 705–718. https://doi.org/10.1037/met0000421
  • Strobl, C., Malley, J., & Tutz, G. (2009). An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychological Methods, 14(4), 323–348. https://doi.org/10.1037/a0016973
  • McCormick, E. M., Byrne, M. L., Flournoy, J. C., Mills, K. L., & Pfeifer, J. H. (2023). The Hitchhiker’s guide to longitudinal models: A primer on model selection for repeated-measures methods. Developmental Cognitive Neuroscience, 63, 101281. https://doi.org/10.1016/j.dcn.2023.101281
  • Rubin, M. (2021). When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing. Synthese, 199(3), 10969–11000. https://doi.org/10.1007/s11229-021-03276-4 
Prof. Dr. Rui Mata
  • Franconeri, S. L., Padilla, L. M., Shah, P. D., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest, 22(3), 110-161. https://doi.org/10.1177/15291006211051956
  • Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007). Helping doctors and patients make sense of health statistics. Psychological Science in the Public Interest, 8(2), 53–96. https://doi.org/10.1111/j.1539-6053.2008.00033.x
  • Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2020). Citizens versus the Internet: Confronting digital challenges with cognitive tools. Psychological Science in the Public Interest, 21(3), 103-156. https://doi.org/10.1177/1529100620946707
  • Yarkoni, T., & Westfall, J. (2017). Choosing prediction over explanation in psychology: Lessons learned from machine learning. Perspectives on Psychological Science, 12(6), 1100-1122. https://doi.org/10.1177/1745691617693393 
Prof. Dr. Jörg Rieskamp
  • Rieskamp, J., Busemeyer, J. R., & Mellers, B. A. (2006). Extending the bounds of rationality: Evidence and theories of preferential choice. Journal of Economic Literature, 44(3), 631–661.
  • Benartzi, S., & Thaler, R. H. (1995). Myopic loss aversion and the equity premium puzzle. Quarterly Journal of Economics, 110, 73–92. https://doi.org/10.2307/2118511
  • Wilkinson, N., & Klaes, M. (2018). Behavioral game theory (pp. 350–396). In An introduction to behavioral economics. Palgrave.
  • Riedl, C., Kim, Y. J., Gupta, P., Malone, T. W., & Woolley, A. W. (2021). Quantifying collective intelligence in human groups. Proceedings of the National Academy of Sciences, USA, 118(21), e2005737118. https://doi.org/10.1073/pnas.2005737118
Prof. Dr. Lara Nikola Wolfers
  • Bayer, J. B., Triệu, P., & Ellison, N. B. (2020). Social media elements, ecologies, and effects. Annual Review of Psychology, 71(1), 471–497. https://doi.org/10.1146/annurev-psych-010419-050944
  • Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (2024). Social media use and adolescents’ well-being: Developing a typology of person-specific effect patterns. Communication Research, 51(6), 691–716. https://doi.org/10.1177/00936502211038196
  • Parry, D. A., Fisher, J. T., Mieczkowski, H., Sewall, C. J. R., & Davidson, B. I. (2022). Social media and well-being: A methodological perspective. Current Opinion in Psychology, 45, 101285. https://doi.org/10.1016/j.copsyc.2021.11.005
  • Walther, J., & Parks, M. (2002). Cues filtered out, cues filtered In: Computer-mediated communication and relationships. In M. L. Knapp & J. A. Daly (Hrsg.), Handbook of interpersonal communication (p. 529–563). SAGE.
  • Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in (pp. 529–563). In M. L. Knapp & J. A. Daly (Eds.), Handbook of interpersonal communication (3rd ed.). SAGE.

 


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