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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. Fielding, A., 1996. "On Scoring Ordered Classifications," Discussion Papers 96-10, Department of Economics, University of Birmingham.
    3. 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.
    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. 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.
    2. repec:zbw:rwirep:0043 is not listed on IDEAS
    3. 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.
    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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