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[Online] GGS Workshop: Multilevel Modelling

Wann

10.08.2020 14:00 bis 24.08.2020 17:00 (Europe/Berlin / UTC200)

Wo

MS Teams (Access granted shortly prior to the course)

Name des Kontakts

Telefon des Kontakts

0641-99 21372

Teilnehmer

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.

Termin zum Kalender hinzufügen

iCal

Instructor: Professor Dr Elmar Schlüter
Dates:

August 10 & 24, 2 pm - 5 pm respectively

Participants:

 15
Course language: English
Registration Deadline:

July 31, 2020
ECTS: 3

 

 

Objectives

  • 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.

Further information is available in the syllabus "Multilevel Modelling".