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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
Fu, Yuanshu; Wen, Zhonglin; Wang, Yang – Educational and Psychological Measurement, 2022
Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is…
Descriptors: Comparative Analysis, Structural Equation Models, Factor Analysis, Reliability
Hansen, Michael; Lemke, Mariann; Sorensen, Nicholas – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2014
Teacher and principal evaluation systems now emerging in response to federal, state and/or local policy initiatives typically require that a component of teacher evaluation be based on multiple performance metrics, which must be combined to produce summative ratings of teacher effectiveness. Districts have utilized three common approaches to…
Descriptors: Teacher Evaluation, Measures (Individuals), Error of Measurement, Teacher Effectiveness
Ruscio, John; Walters, Glenn D.; Marcus, David K.; Kaczetow, Walter – Psychological Assessment, 2010
A number of recent studies have used Meehl's (1995) taxometric method to determine empirically whether one should model assessment-related constructs as categories or dimensions. The taxometric method includes multiple data-analytic procedures designed to check the consistency of results. The goal is to differentiate between strong evidence of…
Descriptors: Methods, Comparative Analysis, Data Analysis, Reliability
Deng, Nina – ProQuest LLC, 2011
Three decision consistency and accuracy (DC/DA) methods, the Livingston and Lewis (LL) method, LEE method, and the Hambleton and Han (HH) method, were evaluated. The purposes of the study were: (1) to evaluate the accuracy and robustness of these methods, especially when their assumptions were not well satisfied, (2) to investigate the "true"…
Descriptors: Item Response Theory, Test Theory, Computation, Classification
Jang, Yoonhee; Wixted, John T.; Huber, David E. – Journal of Experimental Psychology: General, 2009
The current study compared 3 models of recognition memory in their ability to generalize across yes/no and 2-alternative forced-choice (2AFC) testing. The unequal-variance signal-detection model assumes a continuous memory strength process. The dual-process signal-detection model adds a thresholdlike recollection process to a continuous…
Descriptors: Test Format, Familiarity, Testing, Criteria
Linacre, John Michael – 1995
The effects on Rasch measurement of both response underfit (noise) and overfit (mutedness or superuniformity) are described and illustrated. Misfit is identified by mean-square fit statistics. Person separation and reliability are shown to be deceptive indicators of measurement effectiveness when some items exhibit marked overfit. Theoretical…
Descriptors: Children, Goodness of Fit, Item Response Theory, Measurement Techniques

Reddy, Srinivas K. – Educational and Psychological Measurement, 1992
Implications of ignoring correlated error on parameter estimates in some simple structural equation models are examined. It is shown analytically and empirically through simulation that ignoring positive between-construct correlated error overestimates the structural parameter linking the two constructs. Effects become more pronounced with…
Descriptors: Correlation, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Reckase, Mark D. – 1978
Five comparisons were made relative to the quality of estimates of ability parameters and item calibrations obtained from the one-parameter and three-parameter logistic models. The results indicate: (1) The three-parameter model fit the test data better in all cases than did the one-parameter model. For simulation data sets, multi-factor data were…
Descriptors: Comparative Analysis, Goodness of Fit, Item Analysis, Mathematical Models