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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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Causal Effects
 Campbell, D. T. & Stanley, J. C. (1963). Experimental and QuasiExperimental 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 quasiexperimental 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.127147). Göttingen: Vandenhoek und Ruprecht.
 Steyer, R. (2005). Analyzing Individual and Average Causal Effects via Structural Equation Models. MethodologyEuropean Journal of Research Methods in the Behavioral and Social Sciences, 1, 3954.
 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, 4163.
 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)


