Structural modeling of mixed longitudinal and cross-sectional data

Exp Aging Res. 1991 Spring;17(1):29-52. doi: 10.1080/03610739108253884.

Abstract

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).

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aging / physiology*
  • Analysis of Variance
  • Cross-Sectional Studies
  • Humans
  • Hypertension / physiopathology
  • Individuality
  • Intelligence / physiology
  • Longitudinal Studies
  • Middle Aged
  • Models, Statistical*
  • Models, Structural*
  • Regression Analysis
  • Software