Theory and Analysis of Total, Direct, and Indirect Causal Effects

Mayer A, Thoemmes F, Rose N, Steyer R, West SG (2014)
Multivariate Behavioral Research 49(5): 425-442.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Mayer, AxelUniBi; Thoemmes, Felix; Rose, Norman; Steyer, Rolf; West, Stephen G.
Abstract / Bemerkung
Mediation analysis, or more generally models with direct and indirect effects, are commonly used in the behavioral sciences. As we show in our illustrative example, traditional methods of mediation analysis that omit confounding variables can lead to systematically biased direct and indirect effects, even in the context of a randomized experiment. Therefore, several definitions of causal effects in mediation models have been presented in the literature (Baron & Kenny, 1986; Imai, Keele, & Tingley, 2010; Pearl, 2012). We illustrate the stochastic theory of causal effects as an alternative foundation of causal mediation analysis based on probability theory. In this theory we define total, direct, and indirect effects and show how they can be identified in the context of our illustrative example. A particular strength of the stochastic theory of causal effects are the causality conditions that imply causal unbiasedness of effect estimates. The causality conditions have empirically testable implications and can be used for covariate selection. In the discussion, we highlight some similarities and differences of the stochastic theory of causal effects with other theories of causal effects.
Erscheinungsjahr
2014
Zeitschriftentitel
Multivariate Behavioral Research
Band
49
Ausgabe
5
Seite(n)
425-442
ISSN
0027-3171
eISSN
1532-7906
Page URI
https://pub.uni-bielefeld.de/record/2955606

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Mayer A, Thoemmes F, Rose N, Steyer R, West SG. Theory and Analysis of Total, Direct, and Indirect Causal Effects. Multivariate Behavioral Research. 2014;49(5):425-442.
Mayer, A., Thoemmes, F., Rose, N., Steyer, R., & West, S. G. (2014). Theory and Analysis of Total, Direct, and Indirect Causal Effects. Multivariate Behavioral Research, 49(5), 425-442. https://doi.org/10.1080/00273171.2014.931797
Mayer, A., Thoemmes, F., Rose, N., Steyer, R., and West, S. G. (2014). Theory and Analysis of Total, Direct, and Indirect Causal Effects. Multivariate Behavioral Research 49, 425-442.
Mayer, A., et al., 2014. Theory and Analysis of Total, Direct, and Indirect Causal Effects. Multivariate Behavioral Research, 49(5), p 425-442.
A. Mayer, et al., “Theory and Analysis of Total, Direct, and Indirect Causal Effects”, Multivariate Behavioral Research, vol. 49, 2014, pp. 425-442.
Mayer, A., Thoemmes, F., Rose, N., Steyer, R., West, S.G.: Theory and Analysis of Total, Direct, and Indirect Causal Effects. Multivariate Behavioral Research. 49, 425-442 (2014).
Mayer, Axel, Thoemmes, Felix, Rose, Norman, Steyer, Rolf, and West, Stephen G. “Theory and Analysis of Total, Direct, and Indirect Causal Effects”. Multivariate Behavioral Research 49.5 (2014): 425-442.

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