Multilevel Structural Equation Models for Contextual Factors
By James A. Bovaird. 2007
64 citations recorded by the source corpus.
Subfields: Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/e8d2e72e29ee6b5b591f29f2ad790d03aca700a7
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In Information Systems and Management
- Michael Zyphur
- Zhen Zhang
- Sharon K. Parker
- Kristopher J Preacher
- Chia-huei Wu
- A. Luksyte
- Fred Luthans
- J. Story
Citations in the corpus
- Contagion effect of global leaders' positive psychological capital on followers: does distance and quality of relationship matter? (2013, methodology): “As indicated, due to the complex sampling procedure consisting of multiple direct responses made by followers of each leader, results of this study were determined through MSEM (see Bovaird 2007).”
- A general multilevel SEM framework for assessing multilevel mediation. (2010, methodology): “10 There is some ambiguity over whether to use the total sample size, the number of clusters, or the average cluster size in formulas for fit indices in MSEM (Bovaird, 2007; Selig, Card, & Little, 2008). Mehta and Neale (2005) suggested that the number of clusters is the most appropriate sample size”
- Efficacy of Collaborative Strategic Reading With Middle School Students* (2011, methodology): “Estimates of model fit are provided as well as a means of evaluating a given model’s accuracy in representing patterns among the observed data and as a tool for comparing nested models and evaluating statistical significance (Bovaird, 2007; Mehta & Neale, 2005).”
- Overqualification and Subjective Well-Being at Work: The Moderating Role of Job Autonomy and Culture (2015, methodology): “Also, the MUML estimator has computational and convergence advantage over full information maximum likelihood (FIML) estimator and has similar estimation to FIML estimator (Bovaird 2007).”