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Scaling for Residual Variance Components of Ordered Category Responses in Generalised Linear Mixed Multilevel Models

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  • Antony Fielding

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  • Antony Fielding, 2004. "Scaling for Residual Variance Components of Ordered Category Responses in Generalised Linear Mixed Multilevel Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(4), pages 425-433, August.
    • Handle: RePEc:spr:qualqt:v:38:y:2004:i:4:p:425-433
    DOI: 10.1023/B:QUQU.0000043118.19835.6c
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    References listed on IDEAS

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    1. A. Fielding, 1999. "Why use arbitrary points scores?: ordered categories in models of educational progress," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(3), pages 303-328.
    2. Murray Aitkin, 1999. "A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models," Biometrics, The International Biometric Society, vol. 55(1), pages 117-128, March.
    3. Fielding, A., 1996. "On Scoring Ordered Classifications," Discussion Papers 96-10, Department of Economics, University of Birmingham.
    4. Fielding, A. & Yang, M., 1999. "Random Effects Models for Ordered Category Responses and Complex Structures in Educational Progress," Discussion Papers 99-20, Department of Economics, University of Birmingham.
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    Cited by:

    1. Colin Vance & Rich Iovanna, 2008. "Cities and Satellites: Spatial Effects and Unobserved Heterogeneity in the Modeling of Urban Growth," Ruhr Economic Papers 0043, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    2. repec:zbw:rwirep:0043 is not listed on IDEAS
    3. Vance, Colin & Iovanna, Rich, 2008. "Cities and Satellites: Spatial Effects and Unobserved Heterogeneity in the Modeling of Urban Growth," Ruhr Economic Papers 43, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Daniel Bauer, 2009. "A Note on Comparing the Estimates of Models for Cluster-Correlated or Longitudinal Data with Binary or Ordinal Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 97-105, March.

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