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

Author

Listed:
  • Fiona Steele

    (University of Bristol, UK)

  • Harvey Goldstein

    (University of Bristol, UK)

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.

Suggested Citation

  • Fiona Steele & Harvey Goldstein, 2006. "A Multilevel Factor Model for Mixed Binary and Ordinal Indicators of Women's Status," Sociological Methods & Research, , vol. 35(1), pages 137-153, August.
    • Handle: RePEc:sae:somere:v:35:y:2006:i:1:p:137-153
    DOI: 10.1177/0049124106289112
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    References listed on IDEAS

    as
    1. Schuler, Sidney Ruth & Hashemi, Syed Mesbahuddin & Riley, Ann P., 1997. "The influence of women's changing roles and status in Bangladesh's fertility transition: Evidence from a study of credit programs and contraceptive use," World Development, Elsevier, vol. 25(4), pages 563-575, January.
    2. Fiona Steele & Sajeda Amin & Ruchira Naved, 2001. "Savings/credit group formation and change in contraception," Demography, Springer;Population Association of America (PAA), vol. 38(2), pages 267-282, May.
    3. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
    4. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Steele, Fiona & Clarke, Paul & Leckie, George & Allan, Julia & Johnston, Derek, 2017. "Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses," LSE Research Online Documents on Economics 64893, London School of Economics and Political Science, LSE Library.
    2. Mistry, Ritesh & Galal, Osman & Lu, Michael, 2009. "Women's autonomy and pregnancy care in rural India: A contextual analysis," Social Science & Medicine, Elsevier, vol. 69(6), pages 926-933, September.
    3. Miedema, Stephanie Spaid & Haardörfer, Regine & Girard, Amy Webb & Yount, Kathryn M., 2018. "Women’s empowerment in East Africa: Development of a cross-country comparable measure," World Development, Elsevier, vol. 110(C), pages 453-464.
    4. Fiona Steele & Paul Clarke & George Leckie & Julia Allan & Derek Johnston, 2017. "Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 263-283, January.
    5. Fiona Steele, 2008. "Multilevel models for longitudinal data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 5-19, January.
    6. Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.
    7. Kathryn M. Yount & Kristin E. VanderEnde & Sylvie Dodell & Yuk Fai Cheong, 2016. "Measurement of Women’s Agency in Egypt: A National Validation Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1171-1192, September.

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