Multivariate Statistics and Modelling in Psychology II

Annotation: Exploratory and confirmatory factor analysis in psychological research. Factor retrieval methods and rotation methods. Conditions for the application of factor analysis. Topics covered during the class: 1. What method of factor retrieval and rotation is appropriate for the specific task (data file)? 2. Is the data set suitable for a specific analysis? 3. Perform an analysis and draw reasonable conclusions. Literature: 1. Jackson, D. L., Gillaspy, J. A., Jr., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14(1), 6–23. https://doi.org/10.1037/a0014694 2. Achim, A. (2017). Testing the number of required dimensions in exploratory factor analysis. The Quantitative Methods for Psychology, 13(1), 64-74. 3. David Giles. (2002). Advanced Research Methods in Psychology. Routledge

Annotation: Linear and logistic regression. Regression analysis methods: standard, step method. Conditions of use, analysis and interpretation of results. Assessing the robustness of regression models. Topics covered during the class: 1. For which research designs is the appropriate regression analysis method suitable? Give examples from research on the topic of the doctoral thesis. 2. Which regression analysis method is appropriate for the specific task (data file)? Is the data set suitable for a specific analysis? Perform an analysis and draw reasonable conclusions. Literature: 1. David Giles. (2002). Advanced Research Methods in Psychology. Routledge. 2. Bürkner, P. C., & Vuorre, M. (2019). Ordinal regression models in psychology: A tutorial. Advances in Methods and Practices in Psychological Science, 2(1), 77-101. 3. The ultimate IBM® SPSS® Statistics guides. https://statistics.laerd.com/

Annotation: Methods of mediation and moderation analysis in psychological research. Development of theoretical models. Conditions for the use of methods, analysis and interpretation of results. Topics covered during the class: 1. Using a description of a specific task, create a theoretical model that involves mediation or moderation analysis. 2. Is the data set suitable for a specific analysis? Perform an analysis and draw reasonable conclusions. Literature: 1. Kline, R. B. (2015). The mediation myth. Basic and Applied Social Psychology, 37(4), 202-213. 2. Montoya, A. K. (2019). Moderation analysis in two-instance repeated measures designs: Probing methods and multiple moderator models. Behavior research methods, 51(1), 61-82. 3. Schoemann, A. M., Boulton, A. J., & Short, S. D. (2017). Determining power and sample size for simple and complex mediation models. Social Psychological and Personality Science, 8(4), 379-386. 4. Caron, P. O., & Valois, P. (2018). A computational description of simple mediation analysis. The Quantitative Methods for Psychology, 14(2), 147-158. 5. Caron, P. O., Valois, P., & Gellen-Kamel, A. (2020). Some computational descriptions of moderation analysis. The Quantitative Methods for Psychology, 16(1), 9-20. 6. MacKinnon, D. P., & Luecken, L. J. (2008). How and for whom? Mediation and moderation in health psychology. Health psychology, 27(2S), S99.

Annotation: Application of SEM in psychological research. Types of SEM models and their suitability in studies of different designs. Literature: 1. Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications. 2. Hoyle, R. H. (Ed.). (2012). Handbook of structural equation modeling. Guilford press. 3. Barbeau, K., Boileau, K., Sarr, F., & Smith, K. (2019). Path analysis in Mplus: A tutorial using a conceptual model of psychological and behavioral antecedents of bulimic symptoms in young adults. The Quantitative Methods for Psychology, 15(1), 38-53.

Annotation: Methodological challenges in modern quantitative data analysis in psychology. The content of practical class is adapted to the topics of the doctoral dissertation. Each doctoral student chooses one methodology question and prepares a presentation. Modern approaches to the problem of missing data. Meta-analysis methodology. Nonlinear regression models. Measurement constancy in different samples. The Simpson’s paradox. Statistical solutions in quantitative research of small samples. Topics covered during the class: 1. What methodological issues and advanced methods of quantitative data analysis are relevant in the chosen topic of the dissertation? 2. Choose a methodology topic and prepare a presentation based on a scientific article from a journal in the field of research methodology in psychology. Literature: 1. Savalei, V. (2019). A comparison of several approaches for controlling measurement error in small samples. Psychological Methods, 24(3), 352-370. doi:http://dx.doi.org.db.rsu.lv/10.1037/met0000181 2. Carter, E. C., Schönbrodt, F. D., Gervais, W. M., & Hilgard, J. (2019). Correcting for bias in psychology: A comparison of meta-analytic methods. Advances in Methods and Practices in Psychological Science, 2(2), 115-144.

Annotation: Research methodology of the doctoral thesis, research scheme, research questions, instruments, data analysis methods. Topics covered during the class: 1. Prepare and present the research methodology of the doctoral thesis (research scheme, research questions, instruments, data analysis methods). 2. Risk and threat assessment. Literature: 1. Coolican, H. (2018). Research methods and statistics in psychology. Routledge. 2. Scientific articles on the topic of the dissertation (Scopus and Web of Science).