Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis

By Kristopher J Preacher, P. Curran, Daniel J. Bauer. 2006

5,282 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7a75880d3ef87c4b6f9e3a0c966912836c6e3965

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In Computer Networks and Communications

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Citations in the corpus

Work-related smartphone use, work–family conflict and family role performance: The role of segmentation preference (2016, methodology): “To examine the interaction pattern in more detail, we conducted simple slope tests using the online tool suggested by Preacher et al. (2006).”
A double‐edged sword: The moderating role of conscientiousness in the relationships between work stressors, psychological strain, and job performance (2015, methodology): “We also used the online calculator for probing interactions developed by Preacher, Curran, and Bauer (2006) to estimate simple slopes, which describe the relationships between work stressors and outcomes at varying levels of conscientiousness.”
Mechanisms of Moral Disengagement and Their Associations With Indirect Bullying, Direct Bullying, and Pro-Aggressive Bystander Behavior (2020, background): “First, the variations may be due to cultural differences as Thornberg and Jungert’s (2014) study was conducted in Sweden, Robson and Witenberg’s (2013) study was in Australia, Pornari and Wood’s (2010) study was in the United Kingdom, and Pozzoli and colleagues’ (2012) study was in Italy.”
Subjective Well-Being in Adolescence: The Role of Self-Control, Social Support, Age, Gender, and Familial Crisis (2016, methodology): “To understand this interaction, we divided social support into two groups using Preacher et al. (2006) method of probing interaction in regression analyses, thus comparing groups scoring one standard deviation below and above the median for social support.”
Social Category Salience Moderates the Effect of Diversity Faultlines on Information Elaboration (2011, methodology): “To facilitate interpretation, we plotted a multilevel interaction plot with the tools provided by Preacher, Curran, and Bauer (2006); see Figure 1.”
Why and When Empowering Leadership Has Different Effects on Employee Work Performance: The Pivotal Roles of Passion for Work and Role Breadth Self-Efficacy (2018, methodology): “Because an asymptotic variance/covariance matrix of regression coefficient was produced by HLM, we used this matrix to test further the significance of the simple slopes following the procedures suggested by Preacher, Curran, and Bauer (2006).”
How feeling happy during off-job activities helps successful recovery from work: A day reconstruction study (2014, methodology): “To get more insight into the nature of the five interaction effects, simple slope tests for interaction effects in HLM models were calculated, as proposed by Preacher, Curran, and Bauer (2006).”
Best-practice recommendations for estimating interaction effects using moderated multiple regression (2010, methodology): “The Preacher et al. (2006) programs also allow for plotting regions of significance, which are values of Z between which the simple slope of Y on X is statistically significant.”
The effects of managerial and employee attributions for corporate social responsibility initiatives (2017, positive): “Therefore, we performed a regions-of-significance analysis (Preacher et al., 2006).”
Health, environment, safety culture and climate – analysing the relationships to occupational accidents (2010, positive): “The asymptotic covariance matrix is defined as the covariance matrix of parameter estimates (Preacher, Curran, and Bauer 2006).”
Smartphone Use, Work–Home Interference, and Burnout: A Diary Study on the Role of Recovery (2014, methodology): “Simple slope analysis (Preacher et al., 2006) showed that intensive smartphone use significantly moderated the relationship between daily WHI and daily exhaustion (z = 1.91, p .05).”
Exploring the Effects of Job Autonomy on Engagement and Creativity: The Moderating Role of Performance Pressure and Learning Goal Orientation (2017, methodology): “To examine the interactions in more detail, we performed simple slope tests (Preacher et al. 2006) and plotted the effects.”