A Multilevel Factor Model for Mixed Binary and Ordinal Indicators of Women's Status

FA Steele, H Goldstein

Research output: Contribution to journalArticle (Academic Journal)peer-review

18 Citations (Scopus)

Abstract

The authors present a factor model for the analysis of categorical responses with a two-level hierarchical structure. The model allows for multiple, potentially correlated factors at each level as well as covariate effects on the responses. Estimation using Markov chain Monte Carlo (MCMC) methods is described. The methodology is applied in an analysis of women's status in Bangladesh. Two dimensions of women's status are considered—social independence and decision-making power—and the factor structure of the responses at the woman and district levels is explored.
Translated title of the contributionA Multilevel Factor Model for Mixed Binary and Ordinal Indicators of Women's Status
Original languageEnglish
Pages (from-to)137 - 153
Number of pages17
JournalSociological Methods and Research
Volume35 (1)
DOIs
Publication statusPublished - 1 Aug 2006

Bibliographical note

Publisher: SAGE Publications

Fingerprint

Dive into the research topics of 'A Multilevel Factor Model for Mixed Binary and Ordinal Indicators of Women's Status'. Together they form a unique fingerprint.

Cite this