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Simultaneous Analysis of Longitudinal Data From Several Cohorts

In: Cohort Analysis in Social Research

Author

Listed:
  • Karl G. Jöreskog

    (University of Uppsala, Department of Statistics)

  • Dag Sörbom

    (University of Uppsala, Department of Statistics)

Abstract

A number of different research designs for data collection, analysis, and interpretation has been proposed for the study of developmental change (see e.g., Baltes, 1968; Schaie, 1965, 1977; Schaie and Baltes, 1975). In Schaie’s (1965) general developmental model, the individual’s psychological response under study may be characterized by the cohort (C) to which the individual belongs, the period or time of measurement (T), and the age (A) of the individual at the time of measurement. Much of the discussion in the developmental change literature is focussed on separately identifying the effects of age, time, and cohort on the response. BecauseA = T - Cfor all observations these effects will necessarily be confounded in all studies which employ linear models of the response function. Fienberg and Mason (1978; 1985, in this volume) discuss this problem in the case of categorical response and show that, with a response function more general than the linear, it is possible, under certain restrictions, to separately identify and estimate all three effects.

Suggested Citation

  • Karl G. Jöreskog & Dag Sörbom, 1985. "Simultaneous Analysis of Longitudinal Data From Several Cohorts," Springer Books, in: William M. Mason & Stephen E. Fienberg (ed.), Cohort Analysis in Social Research, chapter 10, pages 323-341, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-8536-3_10
    DOI: 10.1007/978-1-4613-8536-3_10
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