Kursleitung: Prof. Dr. Rolf Steyer
Sommersemester 2010, Workshop, Kurslänge: 11.75 Stunden, Sprache: Englisch, Thema: Analysis of causal effects
This course is an introduction to the stochastic theory of causality (Steyer et al. Springer: 2010), which is a generalization of the theory of causal effects in the tradition of J. Neyman and D. B. Rubin. All designs and models for the analysis are developed for the purpose of learning about conditional and/or average total, direct, and indirect effects. Unlike other courses on the analysis of treatment effects, it uses structural equation modeling (with or without latent variables) instead of analysis of variance techniques, the General Linear Model or related techniques.
This course is a synthesis of different traditions in methodology: Rubin's approach to causality, the Campbellian tradition of quasiexperimentation and internal validity, and structural equation modeling.
Although this workshop does not require experience and knowledge in structural equation modelling (SEM), we do not recommend this workshop as a first introduction to SEM, if the motivation is to have an introduction into SEM. For this purpose, I rather suggest our course "Introduction to latent variable modeling with Structural Equation Models using Mplus" held in April 2009 at the University of Jena. This and other courses are still available in the internet and on DVDs at: http://www.metheval.unijena.de/courses.
The course, "Analysis of Total, Direct, and Indirect Effects in Experiments and QuasiExperiments" aims at those who are interested in data analysis in experimental and quasiexperimental studies involving covariates such as one or several pretests, a discrete treatment variable, and one or several outcome variables.
Data analysis can be done with EffectLite, which is a program developed by Rolf Steyer and Ivailo Partchev, which will be provided to all participants. It analyzes a generalized multivariate analysis of variance and covariance. It creates LISREL and/or Mplus input files, reads and interprets the results, computes some statistics, and produces an output file containing the results that are most important for the analysis of total, direct, and indirect treatment effects. In the univariate case, EffectLite does not assume homogeneity of variances of the outcome variable between groups. In the multivariate case with two or more outcome variables it does not assume homogeneity of covariance matrices of the outcome variables between groups. Furthermore, it allows analyzing mean differences and adjusted means differences  aimed at estimating causal effects  between groups with respect to
The covariate(s) may also be qualitative (blocking factors). In this case, we estimate and test average effects for nonorthogonal analysis of variance designs, provided that the covariates are specified as qualitative indicator variables. If the covariates fulfil certain assumptions, the program estimates and tests the conditional and average causal effects.
In the course we will
Um die Videos anzuschauen, benötigen Sie den VLC media player, den Sie hier herunterladen können. Die Videos werden bereitgestellt über die Digitale Bibliothek Thüringen (dbt). Die grün verlinkten Videos und Materialien sind kostenfrei abrufbar. Klicken Sie auf den grünen Link, um das Video zu sehen oder die Datei herunterzuladen! Um alle Materialien und Videos abrufen zu können, müssen Sie sich einloggen.
Session  Videopresentation with slides  Blackboard pictures 

Friday, June 18, 2010 
Picture 01 Picture 02 Picture 03 Picture 04 Picture 05 Picture 06 Picture 07 Picture 08 Picture 09 Picture 10 Picture 11 Picture 12 Picture 13 Picture 14 Picture 15 Picture 16 Picture 17 Picture 18 Picture 19 Picture 20 Picture 21 Picture 22 Picture 23 Picture 24 Picture 25 

Session 01  Video with slides 01  
Session 02  Video with slides 02  
Session 03  Video with slides 03  
Session 04  Video with slides 04  
Saturday, June 19, 2010 

Session 05  Video with slides 05  
Session 06  Video with slides 06  
Session 07  Video with slides 07  
Session 08  Video with slides 08 
In Lisrelversions which had compiled before August, 29, 2007 there were a bug in the FIML option for multiple group analyses. Here you can get an updated version of the executable for the student edition of Lisrel 8.8 without this bug. If you wanted to have the updated executable for the full version of Lisrel, please contact the technical support from Scientific Software International, Inc.