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On structural models for analyzing change
Author(s) -
RAYKOV TENKO
Publication year - 1992
Publication title -
scandinavian journal of psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 72
eISSN - 1467-9450
pISSN - 0036-5564
DOI - 10.1111/j.1467-9450.1992.tb00914.x
Subject(s) - structural equation modeling , univariate , psychology , variance (accounting) , latent growth modeling , econometrics , multivariate statistics , latent variable , multivariate analysis , cognitive psychology , longitudinal data , statistics , developmental psychology , computer science , mathematics , data mining , accounting , business
The recommendation to base the analysis of multi‐wave data upon explicit models for change is advocated. Several univariate and multivariate models are described, which emerge from an interaction between the classical test theory and the structural equation modeling approach. The resulting structural models for analyzing change reflect in some of their parameters substantively interesting aspects of intra‐ and interindividual change in follow‐up studies. The models are viewed as an alternative to an ANOVA‐based analysis of longitudinal data, and are illustrated on data from a cognitive intervention study of old adults (Bakes et al , 1986). The approach presents a useful means of analyzing change over time, and is applicable for purposes of (latent) growth curve analysis when analysis of variance assumptions are violated (e.g., Schaie & Hertzog, 1982; Morrison, 1976).