Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis. [PDF]
Educ Psychol Meas, 2023 Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances,
Goretzko D, Siemund K, Sterner P.
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The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation. [PDF]
Educ Psychol Meas, 2021 Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an ...
Montoya AK, Edwards MC.
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Bifactor exploratory structural equation modeling: A meta-analytic review of model fit. [PDF]
Front Psychol, 2022 Multivariate behavioral research often focuses on latent constructs—such as motivation, self-concept, or wellbeing—that cannot be directly observed. Typically, these latent constructs are measured with items in standardized instruments.
Gegenfurtner A.
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Incremental Model Fit Assessment in the Case of Categorical Data: Tucker-Lewis Index for Item Response Theory Modeling. [PDF]
Prev Sci, 2023 The Tucker–Lewis index (TLI; Tucker & Lewis, 1973 ), also known as the non-normed fit index (NNFI; Bentler & Bonett, 1980 ), is one of the numerous incremental fit indices widely used in linear mean and covariance structure modeling, particularly in ...
Cai L, Chung SW, Lee T.
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Model Fit Estimation for Multilevel Structural Equation Models. [PDF]
Struct Equ Modeling, 2020 Structural equation modeling (SEM) provides an extensive toolbox to analyze the multivariate interrelations of directly observed variables and latent constructs.
Rappaport LM, Amstadter AB, Neale MC.
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"How Well Does Your Structural Equation Model Fit Your Data?": Is Marcoulides and Yuan's Equivalence Test the Answer? [PDF]
CBE Life Sci Educ, 2020 Structural equation modeling is an ideal data analytical tool for testing complex relationships among many analytical variables. It can simultaneously test multiple mediating and moderating relationships, estimate latent variables on the basis of related
Peugh J, Feldon DF.
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A Meta-Analysis of Construct Reliability Indices and Measurement Model Fit Metrics
Methodology, 2020 The present research examined the distributional properties of construct reliability indices and model fit metrics, explored relationships between and among the indices and metrics, and investigated variables influencing the relative magnitudes of the ...
Robert A. Peterson +2 more
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Evaluating Model Fit in Bayesian Confirmatory Factor Analysis With Large Samples: Simulation Study Introducing the BRMSEA. [PDF]
Educ Psychol Meas, 2018 Bayesian confirmatory factor analysis (CFA) offers an alternative to frequentist CFA based on, for example, maximum likelihood estimation for the assessment of reliability and validity of educational and psychological measures.
Hoofs H +3 more
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Model fit evaluation in multilevel structural equation models
Frontiers in Psychology, 2014 Assessing goodness of model fit is one of the key questions in structural equation modeling. Goodness of fit is the extent to which the hypothesized model reproduces the multivariate structure underlying the set of variables.
Ehri eRyu
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Model fit after pairwise maximum likelihood [PDF]
Frontiers in Psychology, 2016 Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete responses are manifestations of underlying continuous scores that are normally distributed.
M. T. eBarendse +3 more
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