Introduction to mediation, moderation, and conditional process analysis :
By Andrew F. Hayes, names. 2015
3,634 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/862dd61cccad6b39ffe890557db19a6356bbe8ca
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Citations in the corpus
- Disclosing the persuasive nature of advergames: moderation effects of mood on brand responses via persuasion knowledge (2015, methodology): “To test the hypotheses, moderated mediation analyses were conducted using the PROCESS macro (Hayes 2013, Model 7).”
- Alignment Versus Monitoring: An Examination of the Effect of the CSR Committee and CSR-Linked Executive Compensation on CSR Performance (2021, methodology): “(1) CSR_Performancei,t = 0 + 1CSR_Committeei,t + 2Controlsi,t + i (2) CSR_Performancei,t = 0 + 1CSR_Compensationi,t + 2Controlsi,t + i 1 3 Two regression models are used to test H3 on mediation (Hayes, 2018) and H4, models (3) and (4), as follows.”
- Warmth and conformity: The effects of ambient temperature on product preferences and financial decisions☆ (2014, methodology): “The bootstrapping (Hayes, 2013; Zhao, Lynch, & ambient temperature on product preferences and financial decisions, Journal of Chen, 2010) results showed that participants' perceptions of social closeness to others mediated temperature's positive effect on conformity (based on 5000 samples), with a…”
- Story Perspective and Character Similarity as Drivers of Identification and Narrative Persuasion (2016, unknown): “Subsequently, a conditional multiple mediator analysis employing Hayes’ (2013) PROCESS macro (model 7; 10,000 bootstraps, 95% confidence interval) was employed with identification with lawyer and identification with widow as mediators, difference in perceived similarity as moderator, while…”
- Compassion for climate change victims and support for mitigation policy (2016, unknown): “Significant results emerged from PROCESS Model 15 (10,000 bootstrap resamples, 95% bias corrected confidence interval) from Hayes (2013), which tests for moderation on mediator / outcome path, such that the indirect effect through self-reported compassion was significant for moderates and…”
- Leaning Out: How Negative Recruitment Experiences Shape Women’s Decisions to Compete for Executive Roles (2017, methodology): “We examined the model outlined in panel 2A using the Process macro in SPSS (model 6; Hayes, 2008), and results are presented in table 7, panel A.”
- Influence of Transformational Leadership on Employees’ Innovative Work Behavior in Sustainable Organizations: Test of Mediation and Moderation Processes (2019, methodology): “Therefore, we used SPSS macro process [135] to test the serial mediation (Table 3) and moderation by representing transformational leadership as an independent variable, trust in a leader and work engagement as mediating variables, and innovative work behavior as a dependent variable.”
- To have in order to do: Exploring the effects of consuming experiential products on well-being (2015, unknown): “To examine the support for H4 in Study 3, we used the Hayes PROCESS macro to conduct regression analyses aimed at understanding the significant indirect paths (Model 4; see Hayes, 2013).”
- The Relationship Between Automatic Thoughts and Irrational Beliefs Predicting Anxiety and Depression (2017, unknown): “Mediational analysis was run using Hayes (2013) PROCESS module, which is an add-on macro to SPSS that calculates statistical mediation using either single or multiple mediators.”
- The longitudinal impact of a job crafting intervention (2017, unknown): “To test this hypothesis, we used Hayes’ PROCESS macro (Hayes, 2013) Model 4.”
- Advancing sustainable consumption in the UK and China: the mediating effect of pro-environmental self-identity (2015, unknown): “To test the proposed relationships in the conceptual model (Figure 1), a simple mediation model (Hayes, 2013) was employed.”
- Psychological Capital and Career Outcomes among Final Year University Students: the Mediating Role of Career Engagement and Perceived Employability (2020, methodology): “For confidence interval estimates, we applied bootstrapping at 5000 as described in Hayes (2013, 2018).”
- Organizational identification, work engagement, and job satisfaction (2015, methodology): “This confidence interval does not contain zero and is also above zero, indicating that the indirect effect is positive and providing clear evidence that the indirect effect is positive to a statistically significant degree (Hayes, 2013).”