Enough Already about “Black Box” Experiments: Studying Mediation Is More Difficult than Most Scholars Suppose

By Donald P. Green, Shang E. Ha, John G. Bullock. 2010

290 citations recorded by the source corpus.

Subfields: Political Science and International Relations, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/143d3618d26feaa8be68a3c7b4222dd004996b31

Citations in the corpus

• The Logic of Causal Inference (2010, unknown): “; Rubin, 2009; Kraemer et al., 2008; Fleming and DeMets, 1996; Green et al., 2010).”
• Beyond Total Effects: Exploring the Interplay of Personality and Attitudes in Affecting Turnout in the 2009 German Federal Election (2013, unknown): “This method of mediation analysis rests on several strong assumptions (Bullock et al. 2010; Bullock & Ha 2011; Coffman 2011; Green et al. 2010; Imai et al. 2011).”
• Identification, Inference and Sensitivity Analysis for Causal Mediation Effects (2010, unknown): “These possibilities, along with other obstacles encountered in applied research, have led some scholars to warn against the abuse of mediation analyses (Green et al., 2010).”
• Scaling Up What Works: Experimental Evidence on External Validity in Kenyan Education (2013, unknown): “As discussed by Imai, Keele, Tingley and Yamamoto (2011) and Green, Ha and Bullock (2010), there is no widely accepted empirical technique for establishing the role of intermediate outcome variables as part of a causal chain.”
• The Associative–Propositional Evaluation Model: Theory, Evidence, and Open Questions (2011, unknown): “This pattern was replicated in a study by Grumm et al. (2009) who tested the same predictions in the domain of self-evaluations.”
• The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011, unknown): “, 2007b) and much controversy has developed as to which strategy should be used in assessing the size of mediation effects (MacKinnon and Dwyer, 1993; Freedman et al., 1992; Molenberghs et al., 2002; MacKinnon et al., 2007b; Glynn, 2009; Green et al., 2010).”
• Cognitive Biases in Performance Evaluations (2016, unknown): “models of citizen satisfaction (James 2011a, 2011b; Van de Walle and Van Ryzin 2011; Van Ryzin 2013), but even in experimental designs it is difficult to identify causal mediation mechanisms between variables in the model (Green et al. 2010; Imai et al. 2011; Wang and Sobel 2013).”