Sequential strategies and the separation of age, cohort, and time-of-measurement contributions to developmental data

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Abstract

Demonstrates the falsity of the concept that sequential strategies permit the separation of age, cohort, and time-of-measurement contributions to developmental change. Expected values of main effects mean squares for the cross-sequential, time-sequential, and cohort-sequential designs were derived under the joint assumptions of (a) linear functions for age, cohort, and time and (b) absence of interaction effects among those variables. Results show that it is not possible to generate decision rules regarding the particular combinations of functions underlying developmental trends. Decision rules earlier suggested for pairs of strategies and rules implicit in studies actually employing the cross-sequential and time-sequential designs were shown to lack foundation. Moreover, the ambiguities of interpretation demonstrated for the strategies were not resolved by comparisons of cross-sectional and within-cohort longitudinal gradients. (16 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved)

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