2019
DOI: 10.1177/0002764219859633
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Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms

Abstract: Behavioral scientists use mediation analysis to understand the mechanism(s) by which an effect operates and moderation analysis to understand the contingencies or boundary conditions of effects. Yet how effects operate (i.e., the mechanism at work) and their boundary conditions (when they occur) are not necessarily independent, though they are often treated as such. Conditional process analysis is an analytical strategy that integrates mediation and moderation analysis with the goal of examining and testing hy… Show more

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Cited by 631 publications
(472 citation statements)
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References 76 publications
(86 reference statements)
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“…However, these questions approach the represented dimension as closely as possible. Another possible weakness is that some of the mediator variables were ordinal, but the PROCESS macro uses ordinary least squares regression to handle these variables and predict linearity [56]. All participants were randomly selected from the population to minimize selection bias.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…However, these questions approach the represented dimension as closely as possible. Another possible weakness is that some of the mediator variables were ordinal, but the PROCESS macro uses ordinary least squares regression to handle these variables and predict linearity [56]. All participants were randomly selected from the population to minimize selection bias.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…The bootstrap mediation effect test method was adopted, and the conditional process model (Model 5) proposed by Andrew F. Hayes was used in tests ( Hayes and Rockwood, 2020 ):…”
Section: Resultsmentioning
confidence: 99%
“…First, descriptive analysis of the main variables and Pearson correlation analysis were performed ( Wang et al, 2017 ). Second, the independent variable, the intermediate variable, the adjusted variable, and the dependent variable in the corresponding boxes were selected in turn using the plug-in PROCESS, and Model 5 was selected with the sample size set to 5,000 ( Wang et al, 2017 ; Hayes and Rockwood, 2020 ). Next, the non-parametric percentile bootstrap method for bias correction was selected, and 95% confidence interval was calculated.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Linear regression was conducted to examine the factors associated with depression, and dummy variables were set for the variables with multi-classification. SPSS macros program (PROCESS v3.3) developed by Andrew F. Hayes was used to conduct to test the mediating effect of interpersonal trust[39]. All of the tests were two-tailed and a p-value of ≤ 0.05 was considered statistically significant.…”
mentioning
confidence: 99%