Document Detail

Age, cohort, and time development muddles: easy in practice, hard in theory.
MedLine Citation:
PMID:  1459165     Owner:  NLM     Status:  MEDLINE    
The debate among developmental psychologists over how best to combine longitudinal and cross-sectional data sequences can be traced back at least four decades. During the 1970s, a variation of this theme received much attention: could the developmental influences of age, cohort, and time be unraveled by sufficiently ingenious application of combined data sequences? We believe discussion of this question has been needlessly parochial and confused. Substantive and methodological contributions from other disciplines have, until recently, been largely ignored by developmental psychologists. Moreover, the solutions debated by psychologists have generally been formulated in language that obscured, rather than explicated, the formal indeterminacy implicit in models of age, cohort, and time parameters. Methodologists have outlined formal solutions to problems of indeterminacy in the contexts of model identification and estimability theory. Sociologists have proposed solutions, based on explicitly theoretical assumptions, that permit model identification and unambiguous interpretation. We review these contributions, and suggest a hierarchy of solutions to the problem of age, cohort, and time indeterminacy.
G Donaldson; J L Horn
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Experimental aging research     Volume:  18     ISSN:  0361-073X     ISO Abbreviation:  Exp Aging Res     Publication Date:    1992 Autumn-Winter
Date Detail:
Created Date:  1993-01-12     Completed Date:  1993-01-12     Revised Date:  2008-02-25    
Medline Journal Info:
Nlm Unique ID:  7603335     Medline TA:  Exp Aging Res     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  213-22     Citation Subset:  IM    
Pain and Toxicity Research Program, Fred Hutchinson Cancer Research Center, Seattle, Washington 98104.
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MeSH Terms
Aging / psychology*
Cohort Studies
Models, Psychological*
Psychology / trends
Time Factors

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