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Hwang, Heungsun; Dillon, William R. – Multivariate Behavioral Research, 2010
A 2-way clustering approach to multiple correspondence analysis is proposed to account for cluster-level heterogeneity of both respondents and variable categories in multivariate categorical data. Specifically, in the proposed method, multiple correspondence analysis is combined with k-means in a unified framework in which "k"-means is…
Descriptors: Data Analysis, Multivariate Analysis, Classification, Monte Carlo Methods
Alessandri, Guido; Caprara, Gian Vittorio; Tisak, John – Multivariate Behavioral Research, 2012
Literature documents that the judgments people hold about themselves, their life, and their future are important ingredients of their psychological functioning and well-being and are commonly related to each other. In this article, results from a longitudinal study (N = 298, 45% males) are presented. Using an integrative Latent Curve, Latent…
Descriptors: Statistical Analysis, Adolescents, Personality Traits, Individual Development
Bouwmeester, Samantha; Sijtsma, Klaas – Multivariate Behavioral Research, 2007
Fuzzy trace theory posits that during development the use of verbatim information for solving transitive relationships shifts to the use of gist information. In cognitive developmental research that uses a cross-sectional design, the binomial mixture model is often used to identify such shifts. Because the binomial mixture model assumes equal task…
Descriptors: Item Response Theory, Developmental Psychology, Developmental Stages, Cognitive Development