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Disentangling Intervention and Temporal Effects in Longitudinal Designs Using Latent Curve Analysis
Author(s) -
Raykov Tenko
Publication year - 1997
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710390211
Subject(s) - statistics , mathematics , econometrics , repeated measures design , longitudinal data , measure (data warehouse) , computer science , data mining
This article is concerned with an approach to disconfounding effects in repeated measure designs with multiple groups. An extension of latent curve analysis (MEREDITH and TISAK, 1990; RAO, 1958, 1965) is described. The method permits estimation and testing of intervention effects separately from temporal effects. It is based on restricted factor analysis of individual change profiles and utilizes basis curves representing group patterns of change. The approach is illustrated on data from a two‐group intervention study.