Symposium on Causality 2006 Jena University
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SMABS 2004 EAM Causal Effects

Department of methodology and evaluation research

Jena University


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Symposium:
"Analysis of causal effects in experimental and quasi-experimental designs"

From July 7 to 9, 2006 was held a conference at the "Altes Schloss Dornburg" near Jena.

Aim of the symposium were

  1. to present and discuss the state of the art in design and analysis of experiments and quasi-experiments from the perspectives of different research traditions and disciplines,
  2. to bring together the proponents of two research traditions, which deal with the design and analysis of experiments and quasi-experiments,
  3. to bring together different disciplines dealing with the analysis of causal effects.
Schloss Dornburg near Jena (Photograph: Scheere)

Organisational frame

There were 7 focus presentations, which were discussed and commented by two discussants. These was followed by an open discussion with all participants. Furthermore, there were some poster sessions, in which other participants have presented their work on the analysis of causal effects.

Focus presentations

Thomas D. Cook (Northwestern University, USA)
The strengths and limitations of empirical tests of the validity of non-experiments based on comparing their results to those of randomized experiments
Andrew Pickles (School of Medicine, University of Manchester, UK)
Causal Effects in the Generalized Linear Latent and Mixed Model
Chip Reichardt (University of Denver, USA)
The Principle of Parallelism in the Design of Studies to Estimate Treatment Effects
Donald B. Rubin (Dept. of Statistics, Harvard University, USA)
On the design, rather than the analysis, of observational studies
William R. Shadish (University of Merced, California, USA)
A Randomized Experiment Comparing Random to Nonrandom Assignment
Rolf Steyer (Dept. of Psychology, FSU Jena, Germany)
The analysis of individual causal effects: Some designs and first examples
Stephen G. West (Arizona State University, USA)
Rubin's and Campbell's perspectives on causality

Invited discussants


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