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Timothy R. Konold; Elizabeth A. Sanders – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Within the frequentist structural equation modeling (SEM) framework, adjudicating model quality through measures of fit has been an active area of methodological research. Complicating this conversation is research revealing that a higher quality measurement portion of a SEM can result in poorer estimates of overall model fit than lower quality…
Descriptors: Structural Equation Models, Reliability, Bayesian Statistics, Goodness of Fit
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Jackson, Dennis L.; Voth, Jennifer; Frey, Marc P. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Determining an appropriate sample size for use in latent variable modeling techniques has presented ongoing challenges to researchers. In particular, small sample sizes are known to present concerns over sampling error for the variances and covariances on which model estimation is based, as well as for fit indexes and convergence failures. The…
Descriptors: Sample Size, Factor Analysis, Measurement, Models
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Westfall, Peter H.; Henning, Kevin S. S.; Howell, Roy D. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article shows how interfactor correlation is affected by error correlations. Theoretical and practical justifications for error correlations are given, and a new equivalence class of models is presented to explain the relationship between interfactor correlation and error correlations. The class allows simple, parsimonious modeling of error…
Descriptors: Psychometrics, Correlation, Error of Measurement, Structural Equation Models
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Ferrando, Pere J.; Anguiano-Carrasco, Cristina; Demestre, Josep – Structural Equation Modeling: A Multidisciplinary Journal, 2013
This article proposes a model-based procedure, intended for personality measures, for exploiting the auxiliary information provided by the certainty with which individuals answer every item (response certainty). This information is used to (a) obtain more accurate estimates of individual trait levels, and (b) provide a more detailed assessment of…
Descriptors: Structural Equation Models, Item Response Theory, Personality Measures, Goodness of Fit
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Yang, Yanyun; Green, Samuel B. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Reliability can be estimated using structural equation modeling (SEM). Two potential problems with this approach are that estimates may be unstable with small sample sizes and biased with misspecified models. A Monte Carlo study was conducted to investigate the quality of SEM estimates of reliability by themselves and relative to coefficient…
Descriptors: Monte Carlo Methods, Structural Equation Models, Reliability, Sample Size
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Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2006
A structural equation modeling based method is outlined that accomplishes interval estimation of individual optimal scores resulting from multiple-component measuring instruments evaluating single underlying latent dimensions. The procedure capitalizes on the linear combination of a prespecified set of measures that is associated with maximal…
Descriptors: Scores, Structural Equation Models, Reliability, Validity
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Lippke, Sonia; Nigg, Claudio R.; Maddock, Jay E. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This is the first study to test whether the stages of change of the transtheoretical model are qualitatively different through exploring discontinuity patterns in theory of planned behavior (TPB) variables using latent multigroup structural equation modeling (MSEM) with AMOS. Discontinuity patterns in terms of latent means and prediction patterns…
Descriptors: Physical Activities, Structural Equation Models, Physical Activity Level, Prediction