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Kang, Yoonjeong; McNeish, Daniel M.; Hancock, Gregory R. – Educational and Psychological Measurement, 2016
Although differences in goodness-of-fit indices (?GOFs) have been advocated for assessing measurement invariance, studies that advanced recommended differential cutoffs for adjudicating invariance actually utilized a very limited range of values representing the quality of indicator variables (i.e., magnitude of loadings). Because quality of…
Descriptors: Measurement, Goodness of Fit, Guidelines, Models
Mao, Xiulin; Harring, Jeffrey R.; Hancock, Gregory R. – Educational and Psychological Measurement, 2015
Latent interaction models have motivated a great deal of methodological research, mainly in the area of estimating such models. Product-indicator methods have been shown to be competitive with other methods of estimation in terms of parameter bias and standard error accuracy, and their continued popularity in empirical studies is due, in part, to…
Descriptors: Structural Equation Models, Error of Measurement, Algebra, Statistical Analysis
Liu, Min; Hancock, Gregory R. – Educational and Psychological Measurement, 2014
Growth mixture modeling has gained much attention in applied and methodological social science research recently, but the selection of the number of latent classes for such models remains a challenging issue, especially when the assumption of proper model specification is violated. The current simulation study compared the performance of a linear…
Descriptors: Models, Classification, Simulation, Comparative Analysis
Kohli, Nidhi; Harring, Jeffrey R.; Hancock, Gregory R. – Educational and Psychological Measurement, 2013
Latent growth curve models with piecewise functions are flexible and useful analytic models for investigating individual behaviors that exhibit distinct phases of development in observed variables. As an extension of this framework, this study considers a piecewise linear-linear latent growth mixture model (LGMM) for describing segmented change of…
Descriptors: Models, Statistical Analysis, Goodness of Fit, Change