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Chow, Sy-Miin; Zu, Jiyun; Shifren, Kim; Zhang, Guangjian – Multivariate Behavioral Research, 2011
Dynamic factor analysis models with time-varying parameters offer a valuable tool for evaluating multivariate time series data with time-varying dynamics and/or measurement properties. We use the Dynamic Model of Activation proposed by Zautra and colleagues (Zautra, Potter, & Reich, 1997) as a motivating example to construct a dynamic factor…
Descriptors: Simulation, Factor Analysis, Item Response Theory, Models
Lorenzo-Seva, Urbano; Timmerman, Marieke E.; Kiers, Henk A. L. – Multivariate Behavioral Research, 2011
A common problem in exploratory factor analysis is how many factors need to be extracted from a particular data set. We propose a new method for selecting the number of major common factors: the Hull method, which aims to find a model with an optimal balance between model fit and number of parameters. We examine the performance of the method in an…
Descriptors: Simulation, Research Methodology, Factor Analysis, Item Response Theory
Conijn, Judith M.; Emons, Wilco H. M.; van Assen, Marcel A. L. M.; Sijtsma, Klaas – Multivariate Behavioral Research, 2011
The logistic person response function (PRF) models the probability of a correct response as a function of the item locations. Reise (2000) proposed to use the slope parameter of the logistic PRF as a person-fit measure. He reformulated the logistic PRF model as a multilevel logistic regression model and estimated the PRF parameters from this…
Descriptors: Monte Carlo Methods, Patients, Probability, Item Response Theory
A Cautionary Note on Using G[squared](dif) to Assess Relative Model Fit in Categorical Data Analysis
Maydeu-Olivares, Albert; Cai, Li – Multivariate Behavioral Research, 2006
The likelihood ratio test statistic G[squared](dif) is widely used for comparing the fit of nested models in categorical data analysis. In large samples, this statistic is distributed as a chi-square with degrees of freedom equal to the difference in degrees of freedom between the tested models, but only if the least restrictive model is correctly…
Descriptors: Goodness of Fit, Data Analysis, Simulation, Item Response Theory

Reise, Steven P.; Gomel, Jessica N. – Multivariate Behavioral Research, 1995
The parameters of full-information item factor models of varying dimensionality and mixed-measurement models of varying numbers of latent classes were estimated in 1,000 responses to a measure of Positive Interpersonal Engagement. The most appropriate representation of the data and deciding between mixed-measurement and dimensional representations…
Descriptors: Data Analysis, Factor Analysis, Interpersonal Relationship, Item Response Theory
Maij-de Meij, Annette M.; Kelderman, Henk; van der Flier, Henk – Multivariate Behavioral Research, 2005
Based on the literature about self-disclosure, it was hypothesized that different groups of subjects differ in their pattern of self-disclosure with respect to different areas of social interaction. An extended latent-trait latent-class model was proposed to describe these general patterns of self-disclosure. The model was used to analyze the data…
Descriptors: Work Environment, Item Response Theory, Self Disclosure (Individuals), Hypothesis Testing