The Consequences of Ignoring Multilevel Data Structures in Nonhierarchical Covariance Modeling

By M. Julian. 2001

254 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/60daefe829eaad360d0ce8d9590af7282e069508

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Citations in the corpus

A general multilevel SEM framework for assessing multilevel mediation. (2010, unknown): “However, disaggregation fails to separate within-group and between-group variance, muddying the interpretation of the indirect effect, and also may spuriously inﬂate power for the test of the indirect effect (Chou et al., 2000; Julian, 2001; Krull & MacKinnon, 1999).”
Sample Size Limits for Estimating Upper Level Mediation Models Using Multilevel SEM (2013, methodology): “Similarly, the pattern of convergence issues encountered with the MLSEM mediation model matched Hox and Maas’s (2001) results and more generally with results from other MLSEM estimation research (Julian, 2001; Stapleton, 2002; Ryu & West, 2009).”
Structural equation modeling: strengths, limitations, and misconceptions. (2005, background): “As in other statistical contexts, applications of SEM that do not account for dependencies among the experimental units are associated with problems (overestimation of model parameters, underestimation of standard errors, and inflated chi-square statistics; Julian 2001).”
Vulnerable Children in Varying Classroom Contexts: Bystanders' Behaviors Moderate the Effects of Risk Factors on Victimization (2010, background): “If not modeled, this nonindependence of observations may produce inaccurate standard errors (Bliese & Hanges, 2004; Julian, 2001; Lee, 2000; Raudenbush & Bryk, 2002).”
A Bayesian Approach to Multilevel Structural Equation Modeling With Continuous and Dichotomous Outcomes (2015, background): “…measured by multiple indicators are represented with composite scores instead of latent variables (Lüdtke, Marsh, Robitzsch, & Trautwein, 2011); in the latter, parameter estimates could be inaccurate if the hierarchical structure of the data is ignored (Julian, 2001; Muthén & Satorra, 1995).”
A critical analysis of cross-cultural research and testing practices: Implications for improved education and training in psychology (2009, methodology): “These difficulties arise from the disaggregation and aggregation approaches to the analyses, respectively (see van de Vijver et al., 2008, for a substantive elaboration of this issue; see Julian, 2001, for a statistical explanation).”
Alternative Methods for Assessing Mediation in Multilevel Data: The Advantages of Multilevel SEM (2011, methodology): “Julian (2001) found that the disadvantages of using single-level approaches rather than multilevel approaches when ICC .05 were minimal.”
Bystanders Matter: Associations Between Reinforcing, Defending, and the Frequency of Bullying Behavior in Classrooms (2011, background): “Ignoring this nonindependence of observations may produce inaccurate standard errors (Bliese & Hanges, 2004; Julian, 2001; Lee, 2000; Raudenbush & Bryk, 2002).”
Identifying and Testing the Inhibitors of Technology Usage Intentions (2011, background): “Kahneman and Miller (1986) extend this principle to the role of negative beliefs on impressions and decision making.”