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Some Common Problems in Log-Linear Analysis

Author

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  • CLIFFORD C. CLOGG

    (Pennsylvania State University)

  • SCOTT R. ELIASON

    (Pennsylvania State University)

Abstract

Several problems often encountered in research using log-linear models for categorical response variables are discussed. The issues covered are (a) determining the degrees of freedom for a model, (b) analyzing sparse data, (c) analyzing weighted data, (d) modeling rates, and (e) interpreting results.

Suggested Citation

  • Clifford C. Clogg & Scott R. Eliason, 1987. "Some Common Problems in Log-Linear Analysis," Sociological Methods & Research, , vol. 16(1), pages 8-44, August.
    • Handle: RePEc:sae:somere:v:16:y:1987:i:1:p:8-44
    DOI: 10.1177/0049124187016001002
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    References listed on IDEAS

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    1. Clifford Clogg, 1978. "Adjustment of rates using multiplicative models," Demography, Springer;Population Association of America (PAA), vol. 15(4), pages 523-539, November.
    2. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
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    1. repec:zbw:rwirep:0261 is not listed on IDEAS
    2. Skinner, Chris J. & Vallet, L.-A., 2010. "Fitting log-linear models to contingency tables from surveys with complex sampling designs: an investigation of the Clogg-Eliason approach," LSE Research Online Documents on Economics 39118, London School of Economics and Political Science, LSE Library.
    3. Skinner, Chris J., 2018. "Analysis of categorical data for complex surveys," LSE Research Online Documents on Economics 89707, London School of Economics and Political Science, LSE Library.
    4. Vincent Fu, 2010. "Remarriage, Delayed Marriage, and Black/White Intermarriage, 1968–1995," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(5), pages 687-713, October.
    5. Pedro Valero-Mora & María Rodrigo & Forrest Young, 2004. "Visualizing parameters from loglinear models," Computational Statistics, Springer, vol. 19(1), pages 113-135, February.
    6. Kate H. Choi & Marta Tienda & Deborah Cobb-Clark & Mathias Sinning, 2011. "Immigration and Status Exchange in Australia and the United States," Ruhr Economic Papers 0261, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. Kunz, Werner H. & Hogreve, Jens, 2011. "Toward a deeper understanding of service marketing: The past, the present, and the future," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 231-247.
    8. Mary C. Daly & John Bound, 1995. "Worker Adaptation and Employer Accommodation Following the Onset of a Health Impairment," NBER Working Papers 5169, National Bureau of Economic Research, Inc.
    9. Riccardo Borgoni & Peter Smith & Ann Berrington, 2009. "Handling the effect of non-response in graphical models for longitudinal data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 109-123, March.
    10. Pieters, R. & Baumgartner, H. & Vermunt, J.K. & Bijmolt, T.H.A., 1998. "Importance, Cohesion and Structural Equivalence in the Evolving Citation Network of the International Journal of Research in Marketing," Discussion Paper 1998-99, Tilburg University, Center for Economic Research.

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