Simultaneous Analysis of Longitudinal Data From Several Cohorts

Karl G. Jöreskog and Dag Sörbom
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Karl G. Jöreskog: University of Uppsala, Department of Statistics
Dag Sörbom: University of Uppsala, Department of Statistics

Chapter 10 in Cohort Analysis in Social Research, 1985, pp 323-341 from Springer

Abstract: 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.

Keywords: Latent Variable; Measurement Model; Longitudinal Data; Covariance Structure; Mental Ability (search for similar items in EconPapers)
Date: 1985
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-8536-3_10

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DOI: 10.1007/978-1-4613-8536-3_10

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