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Testing the Performance of Level-Specific Fit Evaluation in MCFA Models with Different Factor Structures across Levels
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Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
A Bifactor Approach to Model Multifaceted Constructs in Statistical Mediation Analysis
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Gonzalez, Oscar; MacKinnon, David P. – Educational and Psychological Measurement, 2018
Statistical mediation analysis allows researchers to identify the most important mediating constructs in the causal process studied. Identifying specific mediators is especially relevant when the hypothesized mediating construct consists of multiple related facets. The general definition of the construct and its facets might relate differently to…
Descriptors: Statistical Analysis, Monte Carlo Methods, Measurement, Models
Taxometric Analysis as a General Strategy for Distinguishing Categorical from Dimensional Latent Structure
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McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
Investigating Change in Intraindividual Factor Structure over Time
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Rausch, Joseph R. – Applied Psychological Measurement, 2009
The investigation of change in factor structure over time can provide new opportunities for the development of theory in psychology. The method proposed to investigate change in intraindividual factor structure over time is an extension of P-technique factor analysis, in which the P-technique factor model is fit within relatively small windows of…
Descriptors: Monte Carlo Methods, Factor Structure, Factor Analysis, Item Response Theory
Estimating Generalizability to a Latent Variable Common to All of a Scale's Indicators: A Comparison of Estimators for Omega[subscript h]
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Zinbarg, Richard E.; Yovel, Iftah; Revelle, William; McDonald, Roderick P. – Applied Psychological Measurement, 2006
The extent to which a scale score generalizes to a latent variable common to all of the scale's indicators is indexed by the scale's general factor saturation. Seven techniques for estimating this parameter--omega[hierarchical] (omega[subscript h])--are compared in a series of simulated data sets. Primary comparisons were based on 160 artificial…
Descriptors: Computation, Factor Analysis, Reliability, Correlation
Rasch Rating Scale Modeling of Data from the Standardized Letter of Recommendation. Research Report. ETS RR-06-33
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Kim, Sooyeon; Kyllonen, Patrick C. – ETS Research Report Series, 2006
The Standardized Letter of Recommendation (SLR), a 28-item form, was created by ETS to supplement the qualitative rating of graduate school applicants' nonacademic qualities with a quantitative approach. The purpose of this study was to evaluate the following psychometric properties of the SLR using the Rasch rating-scale model: dimensionality,…
Descriptors: Item Response Theory, Rating Scales, Data Analysis, Models