ERIC Number: EJ692290
Record Type: Journal
Publication Date: 2005
Pages: 30
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0027-3171
EISSN: N/A
A Latent-Change Scaling Model for Longitudinal Multiple Choice Data
Kim, Jee-Seon
Multivariate Behavioral Research, v40 n1 p53-82 2005
A latent-change scaling model for the analysis of repeated-measures multiple-choice data is presented. The model extends previous work by combining latent class analysis and low dimensional scaling techniques in a longitudinal framework where subjects may change their preferences for the response categories over time. The latent structural component of the model characterizes both the cross-sectional heterogeneity of the population and an underlying change process over time; the measurement component of the model uses a scaling procedure to produce a joint representation of latent classes and response categories in a low dimensional space that represents individual differences in the utilities of the categories. An analysis of a national panel data set is used to illustrate both aspects of the model. A hypothetical example illustrates additional features of the model that can be tested when multiple indicators are collected at each time point.
Descriptors: Scaling, Individual Differences
Lawrence Erlbaum Associates, Inc., Journal Subscription Department, 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579 (Toll Free); e-mail: journals@erlbaum.com.
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A