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Tong, Xin; Zhang, Zhiyong – Multivariate Behavioral Research, 2012
Growth curve models with different types of distributions of random effects and of intraindividual measurement errors for robust analysis are compared. After demonstrating the influence of distribution specification on parameter estimation, 3 methods for diagnosing the distributions for both random effects and intraindividual measurement errors…
Descriptors: Models, Robustness (Statistics), Statistical Analysis, Error of Measurement
Grady, Matthew W.; Beretvas, S. Natasha – Multivariate Behavioral Research, 2010
Multiple membership random effects models (MMREMs) have been developed for use in situations where individuals are members of multiple higher level organizational units. Despite their availability and the frequency with which multiple membership structures are encountered, no studies have extended the MMREM approach to hierarchical growth curve…
Descriptors: Models, Change, Group Membership, Statistical Analysis
Wu, Wei; West, Stephen G. – Multivariate Behavioral Research, 2010
This study investigated the sensitivity of fit indices to model misspecification in within-individual covariance structure, between-individual covariance structure, and marginal mean structure in growth curve models. Five commonly used fit indices were examined, including the likelihood ratio test statistic, root mean square error of…
Descriptors: Goodness of Fit, Computation, Statistical Analysis, Structural Equation Models

Byrne, Barbara M.; Goffin, Richard D. – Multivariate Behavioral Research, 1993
Extent to which findings derived from 4 approaches to multimethod multitrait analyses (MTMM) were consistent in providing estimates of construct validity related to measurement of 4 dimensions of perceived competence across 4 maximally dissimilar rating methods was determined using sample of 158 eleventh graders in Canada. Four MTMM approaches…
Descriptors: Academic Achievement, Construct Validity, English, Estimation (Mathematics)