The Relative Trustworthiness of Inferential Tests of the Indirect Effect in Statistical Mediation Analysis

By Andrew F. Hayes, Michael Scharkow. Psychology Science, 2013

2,339 citations recorded by the source corpus.

Subfields: Applied Psychology, General Decision Sciences, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/88da1b6e05a049a3b57d679c1f10e70af85c793a

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Citations in the corpus

Determining Power and Sample Size for Simple and Complex Mediation Models (2017, methodology): “Thus, researchers interested in balancing power and Type I error rate to test the indirect effect should consider the Monte Carlo confidence interval (Hayes & Scharkow, 2013).”
Educationism and the irony of meritocracy: negative attitudes of higher educated people towards the less educated (2017, methodology): “We tested mediation by examining the joint signi ﬁ cance of the IV to mediator path and the mediator to DV path (Fritz, Taylor, & MacKinnon, 2012; Hayes & Scharkow, 2013; MacKinnon, Lockwood, Ho ﬀ man, West, & Sheets, 2002).”
Two-condition within-participant statistical mediation analysis: A path-analytic framework. (2017, methodology): “As a consequence, mediation is now assessed by a single test of the indirect effect rather than multiple tests, one for each step in the chain of effects linking X to Y (Hayes & Scharkow, 2013; MacKinnon, Fritz, Williams, & Lockwood, 2007; Preacher & Selig, 2012).”
Reducing, and bridging, the psychological distance of climate change (2020, methodology): “Using boot (Canty & Ripley, 2019), we tested all relations for significance by applying bootstrapped confidence intervals with 1,000 samples in addition to considering p-values (Hayes & Scharkow, 2013).”
Common Beliefs and Reality About PLS (2014, background): “Among them, the percentile bootstrap confidence interval is a good compromise (Hayes & Scharkow, 2013).”
Gender and leadership emergence: A meta‐analysis and explanatory model (2018, background): “…(a) a test of joint significance (i.e., both paths X→M and M→Y are statistically significant; Mackinnon, Lockwood, Hoffman, West, & Sheets, 2002), and (b) a test of the indirect effects (i.e., the product of path X→Mmultiplied by path M→Y is statistically significant; Hayes & Scharkow, 2013).”
Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique (2021, neutral): “In view of the fact that the Bootstrap method is more accurate than the successive stepwise test method and the Sobel method to calculate the confidence interval of the coefficient product, and has a higher test force [67], this study uses Bootstrap method to test the mediating effect.”
Transformational Leadership, Transactional Leadership, and Employee Creativity in Entrepreneurial Firms (2018, methodology): “To test Hypothesis 5a, we adopted the Preacher, Ruker, and Hayes (2007) and Hayes and Scharkow (2013) approach to test the moderated mediation effect of the conceptual model.”