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Multivariate Multinomial Logit Models for Dyadic Sequential Interaction Data
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de Rooij, Mark; Kroonenberg, Pieter M. – Multivariate Behavioral Research, 2003
The analysis of discrete dyadic sequential behavior and, in particular, the problem of forecasting future behavior from current and past behavior in such data is the main theme of the present article. We propose to use multivariate multinomial logit models and the potential of which will be demonstrated with data on Imagery play therapy. In such a…
Descriptors: Therapy, Play, Play Therapy, Enrollment Influences
Constrained and Unconstrained Multivariate Normal Finite Mixture Modeling of Piagetian Data
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Dolan, Conor V.; Jansen, Brenda R. J.; van der Maas, Han L. J. – Multivariate Behavioral Research, 2004
We present the results of multivariate normal mixture modeling of Piagetian data. The sample consists of 101 children, who carried out a (pseudo-)conservation computer task on four occasions. We fitted both cross-sectional mixture models, and longitudinal models based on a Markovian transition model. Piagetian theory of cognitive development…
Descriptors: Cognitive Development, Piagetian Theory, Multivariate Analysis, Longitudinal Studies
Clustering Seven Data Sets by Means of Some or All of Seven Clustering Methods.
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Dreger, Ralph Mason; And Others – Multivariate Behavioral Research, 1988
Seven data sets (namely, clinical data on children) were subjected to clustering by seven algorithms--the B-coefficient, Linear Typal Analysis; elementary linkage analysis, Numerical Taxonomy System, Statistical Analysis System hierarchical clustering method, Taxonomy, and Bolz's Type Analysis. The little-known B-coefficient method compared…
Descriptors: Algorithms, Children, Clinical Diagnosis, Cluster Analysis