Cross-sectional age variance extraction: what's change got to do with it?

Psychol Aging. 2011 Mar;26(1):34-47. doi: 10.1037/a0020525.

Abstract

In cross-sectional age variance extraction (CAVE), age, the indicator of a hypothesized developmental mechanism, and a developmental outcome are specified as independent, mediator, and target variables, respectively, to test hypotheses about behavioral development. We show that: (a) longitudinal change in a mediator variable accounting for substantial cross-sectional age-related variance in the target variable need not correlate with the target variable's longitudinal change; and, conversely, (b) longitudinal change in a mediator not sharing cross-sectional age-related variance with the target variable may nevertheless correlate highly with that variable's longitudinal change. We discourage use of CAVE for testing multivariate hypotheses about behavioral development.

MeSH terms

  • Age Factors*
  • Aging / psychology
  • Cross-Sectional Studies / methods*
  • Cross-Sectional Studies / statistics & numerical data
  • Data Interpretation, Statistical
  • Humans
  • Longitudinal Studies / methods
  • Longitudinal Studies / statistics & numerical data
  • Multivariate Analysis