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

Fiona Steele and Harvey Goldstein
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Fiona Steele: University of Bristol, UK
Harvey Goldstein: University of Bristol, UK

Sociological Methods & Research, 2006, vol. 35, issue 1, 137-153

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.

Keywords: multilevel factor analysis; ordinal response data; women's status (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:35:y:2006:i:1:p:137-153

DOI: 10.1177/0049124106289112

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