Conditional process modeling: Using structural equation modeling to examine contingent causal processes.

By Andrew F. Hayes, Kristopher J Preacher. 2013

495 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/accc9d46ff40ef07ea5b380030b018428aa8a94a

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Citations in the corpus

Accuracy of Parameter Estimates and Confidence Intervals in Moderated Mediation Models (2017, background): “In the third step, following Preacher et al. (2007), Hayes and Preacher (2013), and Hayes (in press), we estimate the moderated mediation effect of X on Y at various levels of moderator W to probe the moderated mediation effect.”
Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. (2017, methodology): “Hayes (2013; Hayes & Preacher, 2013) introduced the term conditional process analysis to refer to the collection of analytical strategies that focuses on examining the contingencies of mechanisms and test hypotheses about how processes can vary between people or across contexts.”
When Family Supportive Supervisors Meet Employees’ Need for Caring: Implications for Work–Family Enrichment and Thriving (2018, methodology): “All hypotheses were tested using a conditional process analysis program, PROCESS, which computes ordinary least square regressions to test for direct and indirect effects (Hayes & Preacher, 2013).”
Moderated Mediation Analysis Using Bayesian Methods (2015, background): “…to have two types of effects, namely, moderated mediation (moderation of a mediation effect or conditional indirect effects) and mediated moderation (mediation of a moderation effect, Edwards & Lambert, 2007; Hayes, 2013; Hayes & Preacher, 2013; MacKinnon, 2008; Muller, Judd, & Yzerbyt, 2005).”
Stakeholder pressure and CSR adoption: The mediating role of organizational culture for Chinese companies (2016, methodology): “For comparative purposes, the PROCESS model of SEM suggested by Hayes and Preacher (2013) is used to conduct the mediation test.”
Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms (2020, methodology): “Although conditional process analysis is a relatively new term, introduced into the literature in 2013 (Hayes & Preacher, 2013; also in the first edition of Hayes, 2018a), the idea of analytically combining moderation and mediation is not new.”
Look at Me! Look at Me! Conspicuous Brand Usage, Self-Brand Connection, and Dilution (2013, methodology): “Because H2 represents a conditional process model (Hayes and Preacher 2013), we tested the prediction using the PROCESS SPSS application provided by Hayes (2013).”
Consistency Matters! How and When Does Corporate Social Responsibility Affect Employees’ Organizational Identification? (2016, methodology): “A bias-corrected accelerated bootstrap 95 per cent CI for the product of these paths that does not include zero provides evidence of a significant conditional indirect effect (Hayes, 2013; Hayes and Preacher, 2013).”
Unpacking the effects of culture on school leadership and teacher learning in China (2020, methodology): “Consistent with prior moderation mediation studies (Cheung and Lau, 2017; Hayes and Preacher, 2013), we used bootstrapping to analyze the moderating effects of teacher power distance orientation on the mediation model at three levels of power distance ( 1 standard deviation, mean, and þ1 standard…”
Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation (2018, methodology): “In that case, other inferential methods could be used instead, such as a Monte Carlo CI (see Hayes & Preacher, 2013).”
The influence of prosocial motivation and civility on work engagement:The mediating role of thriving at work (2018, methodology): “Third, PROCESS macros (Hayes & Preacher, 2013) was used to test the hypotheses.”