Structural modeling of mixed longitudinal and cross-sectional data.
In this paper we describe some mathematical and statistical models for dealing with changes over age. We concentrate specifically on the use of a structural equation modeling (SEM) approach (using computer programs like LISREL) to deal with issues of: (1) group differences in regression parameters, (2) differences in longitudinal and cross-sectional results, (3) differences due to longitudinal attrition, and (4) mixtures of these problems. To illustrate these ideas we use data from a previous study of hypertension and intellectual abilities (from Schultz, Elias, Robbins, Streeten, and Blakeman, 1986).
McArdle
J J
JJ
Department of Psychology, University of Virginia, Charlottesville 22903.
Hamagami
F
F
Elias
M F
MF
Robbins
M A
MA
D000328:Adult; D000368:Aged; D000375:Aging / Q000502:physiology*; D000704:Analysis of Variance; D003430:Cross-Sectional Studies; D006801:Humans; D006973:Hypertension / Q000503:physiopathology; D007206:Individuality; D007360:Intelligence / Q000502:physiology; D008137:Longitudinal Studies; D008875:Middle Aged; D015233:Models, Statistical; D008961:Models, Structural; D012044:Regression Analysis; D012984:Software