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Direct linkKim, Doyoung; De Ayala, R. J.; Ferdous, Abdullah A.; Nering, Michael L. – Applied Psychological Measurement, 2011
To realize the benefits of item response theory (IRT), one must have model-data fit. One facet of a model-data fit investigation involves assessing the tenability of the conditional item independence (CII) assumption. In this Monte Carlo study, the comparative performance of 10 indices for identifying conditional item dependence is assessed. The…
Descriptors: Item Response Theory, Monte Carlo Methods, Error of Measurement, Statistical Analysis
Peer reviewedRaykov, Tenko – Applied Psychological Measurement, 2001
Studied the population discrepancy of coefficient alpha from the composite reliability coefficient for fixed congeneric measures with correlated errors and expressed it in terms of parameters of the measures. Recommends structural equation modeling for identifying cases in which the discrepancy can be large. (SLD)
Descriptors: Correlation, Reliability, Structural Equation Models
Peer reviewedRaykov, Tenko – Applied Psychological Measurement, 1994
A general structural modeling approach to correlates and predictors of change in multiwave design is discussed. It allows estimation of theoretically and empirically relevant interrelationship indexes between growth and decline in longitudinally assessed psychological constructs and additional variables. Data from a study of aged adults illustrate…
Descriptors: Change, Correlation, Longitudinal Studies, Older Adults
