Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM

By Kristopher J Preacher, Zhen Zhang, Michael Zyphur. 2011

858 citations recorded by the source corpus.

Subfields: Applied Psychology, Experimental and Cognitive Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/49e792e39f82cf788967c8ec0a825f89a07d2271

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In Applied Psychology

In Experimental and Cognitive Psychology

In Sociology and Political Science

Citations in the corpus

Sample Size Limits for Estimating Upper Level Mediation Models Using Multilevel SEM (2013, methodology): “The nonzero ab value that was generated closely corresponds with values used in other multilevel mediation model studies (e.g., Krull & MacKinnon, 1999, 2001; Pituch et al., 2006; Pituch et al., 2005; Preacher et al., 2011).”
Socioeconomic status and the career aspirations of Australian school students: Testing enduring assumptions (2015, background): “School-level variances of this magnitude generally indicate that multilevel effects will be trivial (Lee 2000; Preacher et al. 2011).”
Benefits of mindfulness at work: the role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. (2013, methodology): “Multilevel mediation analyses were conducted following Preacher and colleagues’ recommendations (Preacher et al., 2011, 2010).”
High-Performance Work Systems and Job Control (2013, methodology): “Although multilevel structural equation models have been used recently for confirmatory factor analytic models, their true implementation as complete structural equation models has been rare (see, for exception, Gottfredson, Panter, Daye, Allen, & Wightman, 2009; Preacher et al., 2010; Preacher et a”
Further specification of the leader political skill–leadership effectiveness relationships: Transformational and transactional leader behavior as mediators (2013, methodology): “Test of Hypotheses We tested our hypotheses with MSEM (Preacher et al., 2010, Preacher et al., 2011).”
Multilevel Mediation With Small Samples: A Cautionary Note on the Multilevel Structural Equation Modeling Framework (2017, methodology): “We generate data from and fit 2–1–1 mediation models because this was found to be the most commonly used model for primary research questions and because this has been the model of interest in the foundational work on multilevel mediation (e.g., Preacher et al., 2011).”
A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes (2015, methodology): “However, large group sizes (Cheung & Au, 2005; Meuleman & Billiet, 2009) and large ICCs (Lüdtke et al., 2011; Muthén & Satorra, 1995; Preacher et al., 2011; Wu & Kwok, 2012) have been shown to partially compensate for a small number of groups.”
Delighting the Customer: Creativity-Oriented High-Performance Work Systems, Frontline Employee Creative Performance, and Customer Satisfaction (2019, methodology): “Failing to account for this dual source of variance would have led to the calculation of biased estimates for both direct and indirect effects (Preacher et al., 2010; Preacher et al., 2011).”