Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
By Kristopher J Preacher, Andrew F. Hayes. Behavior Research Methods, 2008
32,617 citations recorded by the source corpus.
Subfields: Organizational Behavior and Human Resource Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/4c52ba78db5f29132d7f77db4f6c3d4f4ff0d276
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Organizational Behavior and Human Resource Management
- Arnold B. Bakker
- Wilmar B. Schaufeli
- Evangelia Demerouti
- Hans De Witte
- Sharon K. Parker
- M. Tims
- Sabine Sonnentag
- Thomas W. H. Ng
In Social Psychology
- Arnold B. Bakker
- Wilmar B. Schaufeli
- Evangelia Demerouti
- Adam M. Grant
- Hans De Witte
- Sabine Sonnentag
- Gerben A. van Kleef
- Maarten Vansteenkiste
Citations in the corpus
- Frequent Change and Turnover Intention: The Moderating Role of Ethical Leadership (2016, methodology): “We examine the indirect effect using bootstrapping (Preacher and Hayes 2008).”
- Self-compassion and Eudaimonic Well-Being During Emotionally Difficult Times in Sport (2015, methodology): “The data were consistent with models of mediation; however, the tested models are rooted in correlational data, which precludes conclusions of directionality, causality, or definitive mediation (MacKinnon 2008; Preacher and Hayes 2008).”
- Effects of Monetary Versus Environmental Information Framing: Implications for Long-Term Pro-Environmental Behavior and Intrinsic Motivation (2018, positive): “Indirect effects were estimated in structural equation models with a bias-corrected bootstrap method (Preacher & Hayes, 2008) with 5,000 samples (see Table 7).”
- Effect of employee empathy on customer satisfaction and loyalty during employee–customer interactions: The mediating role of customer affective commitment and perceived service quality (2018, methodology): “In this research, a bootstrapping approach (bootstrap sample size = 5000) is used to test the mediation effect (Preacher & Hayes, 2008) to produce asymmetric confidence intervals (CIs) for indirect relationships.”
- The impact of human resource management practices and career satisfaction on employee’s turnover intention (2020, methodology): “There are two main steps to mediation test using the method of Preacher and Hayes (2008).”
- Consumer Participation in Cause-Related Marketing: An Examination of Effort Demands and Defensive Denial (2018, methodology): “To test the hypotheses that CRM effort impacts participation intentions indirectly through cause importance and CSR perceptions, a significance test was conducted of the omnibus indirect effects of the proposed mediators (Preacher and Hayes 2008).”
- We have emotions but can’t show them! Authoritarian leadership, emotion suppression climate, and team performance (2020, methodology): “Furthermore, we employed a bootstrapping procedure to determine 95% bias-corrected CIs for the two-stage and three-stage mediation effects and also moderated mediation effects (Preacher and Hayes, 2008; Shrout and Bolger, 2002).”
- Job Design and the Employee Innovation Process: The Mediating Role of Learning Strategies (2012, positive): “To do this, we used the bootstrapping procedure recommended by Preacher and Hayes (2004, 2008), as it has been shown to have higher power while maintaining reasonable control over the Type I error rate than other mediation testing procedures, e.g., the Sobel test (MacKinnon et al. 2002).”
- Monitoring the Opinion of the Crowd: Psychological Mechanisms Underlying Public Opinion Perceptions on Social Media (2017, methodology): “This hypothesis was tested with mediation analyses using the INDIRECT macro (Preacher & Hayes, 2008) with 5,000 bootstrap resamples (percentile-based 95% confidence interval).”
- Self-efficacy, value, and achievement emotions as mediators between parenting practice and homework behavior: A control-value theory perspective (2016, background): “To test mediational relationships, it is important to examine whether the mediators were not only related to predictors, but also significantly related to outcomes after controlling for the remote direct effects from predictor to outcome variables (Baron & Kenny, 1986; Preacher & Hayes, 2008).”