Workshops: Course information

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.

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.

For further information, please visit the website of the Symposium on Causality 2006.

In order to view the videos, you need the VLC media player which you can download here. The videos are hosted at the Digitale Bibliothek Thüringen (dbt). The green linked videos and materials are for free. Click the green link to watch the video or download the file! In order to access all materials and videos, you need to log in.

Videos

	Thursday, July 6	Friday, July 7	Saturday, July 8	Sunday, July 9
09:00 - 10:00		Focus lecture Cook Video 01 Video 01 with slides	Focus lecture Steyer Video 05 Video 05 with slides	Focus lecture West Video 09
10:00 - 10:40		Invited discussion (Chacon-Mosoco & Rubin) Video 01 Video 01 with slides	Invited discussion (Erdfelder & West) Video 05 Video 05 with slides	Invited discussion (Cook, Markus & Rubin) Video 09 Video of discussion by Keith A. Markus with slides
10:40 - 11:10		Open discussion Video 01 Video 01 with slides	Open discussion Video 05 Video 05 with slides	Open discussion Video 09
11:10 - 11:30		Coffee break	Coffee break	Coffee break
11:30 - 12:30		Poster session Pohl & Vautier Video 02 Video 02 with slides	Poster session Höfler, Iseler, Nagengast & Partchev Video 06 Video 06 with slides	Poster session Sanduvete Chaves et al., Hartenstein & Orth et al. Video 10 Video 10 with slides
12:30 - 14:00		Lunch break	Lunch break	Lunch break
14:00 - 15:00		Focus lecture Rubin Video 03 Video 03 with slides	Focus lecture Reichardt Video 07 Video 07 with slides	General discussion Video 11
15:00 - 15:40		Invited discussion (Cook & Steyer) Video 03 Video 03 with slides	Invited discussion (Pickles & Rässler) Video 07 Video 07 with slides	General discussion Video 11
15:40 - 16:10		Open discussion Video 03 Video 03 with slides	Open discussion Video 07 Video 07 with slides	General discussion Video 11
16:10 - 16:30		Coffee break	Coffee break
16:30 - 17:30		Focus lecture Pickles Video 04 Video 04 with slides	Focus lecture Shadish Video 08 Video 08 with slides	Excursion to Weimar
17:30 - 18:10		Invited discussion (Fitzenberger & Shadish) Video 04 Video 04 with slides	Invited discussion (Reichardt & Wegscheider) Video 08 Video 08 with slides
18:10 - 18:40		Open discussion Video 04 Video 04 with slides	Open discussion Video 08 Video 08 with slides
19:00				Farewell dinner
19:30	Welcome reception		Conference dinner
20:30		Guided tour through Jena

Material related to the contributions

Focus presentations

Thomas D. Cook

• Within-Study Comparisons of Experiments and Non-Experiments: What the Findings Imply for the Validity of Different Kinds of Observational Study

Andrew Pickles

• Causal Effects in the Generalized Linear Latent and Mixed Model: gllamm

Chip Reichardt

• The Principle of Parallelism in the Design of Studies to Estimate Treatment Effects
• A Typology of Strategies for Ruling Out Threats to Validity

Donald B. Rubin

• The Design (Versus The Analysis) Of Evaluations From Observational Studies: Parallels With The Design Of Randomized Experiments

William R. Shadish

• A Randomized Experiment Comparing Randomized to Nonrandomized Experiments

Rolf Steyer

• The analysis of individual and average causal effects: Basic principles and some applications
• Invited discussion to Rubin's focus lecture
• Analyzing Individual and Average Causal Effects via Structural Equation Models
• Causal Effects in Between-Group Experiments and Quasi-Experiments
• EffectLite at www.statlite.com

Stephen G. West

• Causal Inference and Generalization in Field Settings: Experimental and Quasi-Experimental Designs (14 MB!)

Discussions

Karl Wegscheider

• A Randomized Experiment Comparing Random Nonrandom Assignment - Comment by Karl Wegscheider

Poster sessions

Sven Hartenstein

• Abstract: Likehood ratio tests as robust alternative to (M)ANOVA F-tests in analysing average treatment effects. Results of a simulation study.
• Poster: Likehood ratio tests as robust alternative to (M)ANOVA F-tests in analysing average treatment effects. Results of a simulation study.

Michael Höfler

• Abstract: The Bradford Hill considerations on causality: a counterfactual perspective

Albrecht Iseler

• Abstract: Why base a Definition of Causal Effects on Expectations?

Benjamin Nagengast

• Abstract: A didactic tool for teaching the theory of individual and average causal effects
• Poster: A didactic tool for teaching the theory of individual and average causal effects
• Excelsheet

Ulrich Orth et al.

• Abstract: Anger and Posttraumatic Stress Disorder: A Causal Analysis with Longitudinal Data

Steffi Pohl

• Abstract: Modeling method effects as individual treatment effects: The method effect model - A new model for analyzing MTMM data
• Poster: Modeling method effects as individual treatment effects: The method effect model - A new model for analyzing MTMM data

Susana Sanduvete Chaves et al.

• Abstract: Causal Analysis In Training Program Evaluation

Stéphane Vautier

• Abstract: A general true-score model with individual causal effects for test-retest data
• Poster: A general true-score model with individual causal effects for test-retest data