Literaturnachweis - Detailanzeige
Autor/inn/en | Tchumtchoua, Sylvie; Dey, Dipak K. |
---|---|
Titel | Modeling Associations among Multivariate Longitudinal Categorical Variables in Survey Data: A Semiparametric Bayesian Approach |
Quelle | In: Psychometrika, 77 (2012) 4, S.670-692 (23 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0033-3123 |
DOI | 10.1007/s11336-012-9274-4 |
Schlagwörter | Factor Analysis; Bayesian Statistics; Behavioral Sciences; Social Sciences; Markov Processes; Longitudinal Studies; Surveys; Public Opinion; Technology; Scientific Attitudes; Attitude Measures; Psychometrics; Models; Data Analysis; Nonparametric Statistics; Correlation Faktorenanalyse; Social science; Sozialwissenschaften; Gesellschaftswissenschaften; Markowscher Prozess; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Survey; Umfrage; Befragung; Öffentliche Meinung; Technologie; Psychometry; Psychometrie; Analogiemodell; Auswertung; Korrelation |
Abstract | This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the distributions of the factors are modeled nonparametrically through a dynamic hierarchical Dirichlet process prior. A Markov chain Monte Carlo algorithm is developed for fitting the model, and the methodology is exemplified through a study of the dynamics of public attitudes toward science and technology in the United States over the period 1992-2001. (Contains 5 tables and 7 figures.) (As Provided). |
Anmerkungen | Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |