[Online] GGS Workshop: Multilevel Modelling
10.08.2020 um 14:00 bis
24.08.2020 um 17:00
|Wo||MS Teams (Access granted shortly prior to the course)|
This course is designed for application-oriented participants who are familiar with the basics of multivariate data analysis (e.g. conducting and interpreting a multivariate regression analysis) and would now like to expand their scope.
|Instructor:||Professor Dr Elmar Schlüter|
August 10 & 24, 2 pm - 5 pm respectively
July 31, 2020
The primary objective of this course is to provide participants with a proper understanding and the
practical skills necessary for applying linear regression modelling techniques to hierarchically ordered
multilevel data structures. Core topics of the course include random intercept & slope models,
contextual effect models, cross-level interaction models, and further topics. In order to put these
different techniques to practice, participants will become proficient in the use of the SPSS and/or
Mplus statistical software. Throughout the course, emphasis lies on ways of achieving an adequate
balance between theoretical assumptions, methods of data analysis, and interpretation of the results.
To facilitate the transfer of theoretical knowledge into participants' own research, a large part of the
course will be devoted to systematic exercises using freely available survey data. Participants are
encouraged, however, to also use their own data.