Universität Wien
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230150 UE EC: Moderation and Mediation analysis (2017S)

3.00 ECTS (1.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 40 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 27.04. 09:15 - 12:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 04.05. 09:15 - 12:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 11.05. 09:15 - 12:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG
  • Thursday 18.05. 09:15 - 12:15 PC-Raum 1 Schenkenstraße 8-10, 1.UG

Information

Aims, contents and method of the course

This is an interdisciplinary data analysis seminar in workshop form focused on the application of principles of linear modeling in the context of linear regression analysis to exploring questions about mediated (i.e., indirect) and moderated (i.e., interaction) effects. We will spend part of the course talking about partitioning effects into direct and indirect components and how to quantify and test hypotheses about indirect effects, part talking about estimating, testing, and probing interactions in linear models, and part integrating moderation and mediation as ?conditional process analysis? by discussing and how to conceptualize and test the contingencies of a mechanism (?moderated mediation?) and whether moderated effects are mediated (mediated moderation). Computer applications will focus on SPSS using off-the-shelf code and various macros that facilitate the analysis. It is assumed that you have taken a course in multiple regression and have done well or are otherwise comfortable with the principles of multiple regression analysis (a review of this principles will be offered in the first class of the course). No knowledge of matrix algebra is required or assumed.

By the end of this course, participants will be able to:
- interpret the results of basic moderation and mediation models within regression framework
- know how test competing theories of mechanisms statistically through the comparison of indirect effects in models with multiple mediators,
- have the ability to visualize and probe interactions in regression models in order to interpret interaction effects in the appropriate ways,
- have learned how to estimate the contingencies of mechanisms through the computation and inference about conditional indirect effects,
- and use SPSS PROCESS Macro to run and understand moderation, mediation, and conditional process models.

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list

Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.

Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect
effects in simple mediation models. Behavior Research Methods, Instruments, and
Computers, 36, 717-731.

Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41, 924-936.

Hayes, A. F., Glynn, C. J., & Huge, M. E. (2012). Cautions in the interpretation of coefficients and hypothesis tests in linear models with interactions. Communication
Methods, and Measures, 6, 1-12.

Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Assessing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185-227.

Association in the course directory

Last modified: Mo 07.09.2020 15:39