Examining the Impact of and Sensitivity of Fit Indices to Omitting Covariates Interaction Effect in Multilevel Multiple-Indicator Multiple-Cause Models

This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left...

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Veröffentlicht in:	Educational and psychological measurement 2021-10, Vol.81 (5), p.817-846
Hauptverfasser:	Cao, Chunhua, Kim, Eun Sook, Chen, Yi-Hsin, Ferron, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Computation Correlation Educational tests & measurements Goodness of Fit Hierarchical Linear Modeling Parameter estimation Sample Size Structural Equation Models
Online-Zugang:	Volltext
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