Causal Inference in Educational Research: Approaches, Assumptions and Limitations
Research output: Working paper › Working papers
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Causal Inference in Educational Research : Approaches, Assumptions and Limitations. / Berger, Stefanie; Hammer, Svenja; Hartmann, Stefan et al.
Mainz : Johannes Gutenberg-Universität Mainz, 2013. (KoKoHs Working Papers; No. 4).Research output: Working paper › Working papers
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TY - UNPB
T1 - Causal Inference in Educational Research
T2 - Approaches, Assumptions and Limitations
AU - Berger, Stefanie
AU - Hammer, Svenja
AU - Hartmann, Stefan
AU - Joachim, Cora
AU - Lösch, Thomas
PY - 2013
Y1 - 2013
N2 - The Working Paper gives an overview about the topic of causal inference, covered in the Institute on Statistical Analysis for Education Policy organized by the American Educational Research Association in spring 2013. Because randomized experiments are often difficult to implement into large-scale studies in educational research, inference on the causality of different treatments (e.g. different teaching approaches) is limited. This paper discusses the possibilities to draw causal inferences in non-randomized experiments, and provides an introduction to different analytical approaches, namely propensity score analysis, sensitivity analysis and the regression discontinuity approach. The main idea behind each procedure is explained, advantages and limitations are discussed.
AB - The Working Paper gives an overview about the topic of causal inference, covered in the Institute on Statistical Analysis for Education Policy organized by the American Educational Research Association in spring 2013. Because randomized experiments are often difficult to implement into large-scale studies in educational research, inference on the causality of different treatments (e.g. different teaching approaches) is limited. This paper discusses the possibilities to draw causal inferences in non-randomized experiments, and provides an introduction to different analytical approaches, namely propensity score analysis, sensitivity analysis and the regression discontinuity approach. The main idea behind each procedure is explained, advantages and limitations are discussed.
KW - Educational science
KW - Casual inference
KW - propensity score
KW - Sensitivity analysis
KW - regression discontinuity
M3 - Working papers
T3 - KoKoHs Working Papers
BT - Causal Inference in Educational Research
PB - Johannes Gutenberg-Universität Mainz
CY - Mainz
ER -