Universität Wien

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

3.00 ECTS (1.00 SWS), SPL 23 - Soziologie
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 40 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Mindestanforderungen und Beurteilungsmaßstab

Prüfungsstoff

Literatur

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.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:39