Kurse: Kursinformationen

  Methods of Evaluation Research II: Probability and Causality

Kursleitung: Prof. Dr. Rolf Steyer

Sommersemester 2016, Kurs, Sprache: Englisch, Thema: Methods of evaluation research

This lecture is a second course in probability and causality. In the first course the emphasis was on data analysis with EffectLiteR, a computer program for the analysis of conditional and average effects. The probabilistic theory of causal effects was treated but not in much details. In this second course, the focus is on the probabilistic theory of causal effects. It is based on the book "Probability and causality" that is currently in preparation.

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Literature

Causal Effects

• Campbell, D. T. & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research on Teaching. In N. L. Gage (Ed.), Handbook of research on teaching. Chicago: Rand McNally.
• West, S. G., Biesanz, J. C. & Pitts, S. C. (2000), Causal inference and generalization in field settings. Experimental and quasi-experimental designs. In H. T. Reis and C. M. Judd (eds.), Handbook of research methods in social and personality psychology. Cambridge University Press.
• Steyer, R. (2003). Wahrscheinlichkeit und Regression. Berlin: Springer. (Kapitel 15 - 17)
• Steyer, R. (2004). Was wollen und was können wir durch empirische Kausalforschung erfahren? In E. Erdfelder & J. Funke (Hrsg.), Allgemeine Psychologie und deduktivistische Methodologie (pp.127-147). Göttingen: Vandenhoek und Ruprecht.
• Steyer, R. (2005). Analyzing Individual and Average Causal Effects via Structural Equa­tion Models. Methodology-European Journal of Research Methods in the Behavio­ral and Social Sciences, 1, 39-54.
• Steyer, R. & Partchev, I. (2006). Manual for EffectLite: A Program for the Uni- and Multivariate Analysis of Unconditional, Conditional and Average Mean Differences Between Groups.
• Pohl, S., Steyer, R. & Kraus, K. (2008). Modelling method effects as individual causal effects. Journal of the Royal Statistical Society. Series A, 171, 41--63.
• Steyer, R., Partchev, I., Kröhne, U., Nagengast, B., & Fiege, C. (in preparation). Probability and Causality.
• Steyer, R., Nagel, W., Partchev, I., & Mayer, A. (in preparation). Probability and Regression.

Download of the relevant examination / lecture relevant literature (only for students of the lectures)