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Multilevel Modeling of Educational Data With Cross-Classification and Missing Identification for Units

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  • Peter W. Hill
  • Harvey Goldstein

Abstract

This paper presents a method for handling educational data in which students belong to more than one unit at a given level, but there is missing information on the identification of the units to which students belong. For example, a student might be classified as belonging sequentially to a particular combination of primary and secondary school, but for some students the identify of either the primary or the secondary school may be unknown. Similar situations arise in longitudinal studies in which students change school or class from one year to the next. The method involves setting up a cross-classified model, but replacing (0, 1) values for unit membership with weights reflecting probabilities of unit membership in cases where membership information is randomly missing. The method is illustrated with reference to longitudinal data on students’ progress in English.

Suggested Citation

  • Peter W. Hill & Harvey Goldstein, 1998. "Multilevel Modeling of Educational Data With Cross-Classification and Missing Identification for Units," Journal of Educational and Behavioral Statistics, , vol. 23(2), pages 117-128, June.
    • Handle: RePEc:sae:jedbes:v:23:y:1998:i:2:p:117-128
    DOI: 10.3102/10769986023002117
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    Cited by:

    1. Alastair H. Leyland & Øyvind Næss, 2009. "The effect of area of residence over the life course on subsequent mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 555-578, June.
    2. Francesco Castellaneta & Oliver Gottschalg, 2016. "Does ownership matter in private equity? The sources of variance in buyouts' performance," Strategic Management Journal, Wiley Blackwell, vol. 37(2), pages 330-348, February.
    3. Susan M. Paddock & Terrance D. Savitsky, 2013. "Bayesian hierarchical semiparametric modelling of longitudinal post-treatment outcomes from open enrolment therapy groups," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 795-808, June.
    4. Brenden Bishop & Minjeong Jeon, 2016. "Book Review," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1164-1167, December.

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