Cross-Sectional Age Variance Extraction: What's Change Got To Do With It?

被引：227

作者：

Lindenberger, Ulman ^{[1
,2
]}

von Oertzen, Timo ^{[1
,3
]}

Ghisletta, Paolo ^{[4
]}

Hertzog, Christopher ^{[5
]}

机构：

[1] Max Planck Inst Human Dev, D-14195 Berlin, Germany

[2] Univ Saarland, Sch Psychol, Saarbrucken, Germany

[3] Univ Saarland, Dept Math, Saarbrucken, Germany

[4] Univ Geneva, Fac Psychol & Educ Sci, CH-1211 Geneva 4, Switzerland

[5] Georgia Inst Technol, Sch Psychol, Atlanta, GA 30332 USA

来源：

PSYCHOLOGY AND AGING | 2011年 / 26卷 / 01期

关键词：

cross-sectional data; longitudinal data; variance partitioning; correlated change; longitudinal mediator; GROWTH CURVE MODELS; PROCESSING-SPEED; WORKING-MEMORY; OLD-AGE; INDIVIDUAL-DIFFERENCES; INTELLIGENCE; POWER; COGNITION;

D O I：

10.1037/a0020525

中图分类号：

R4 [临床医学]; R592 [老年病学];

学科分类号：

100201 [内科学]; 100218 [急诊医学];

摘要：

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 con-elate highly with that variable's longitudinal change. We discourage use of CAVE for testing multivariate hypotheses about behavioral development.

引用

页码：34 / 47

页数：14

共 50 条

[1]

[Anonymous], 1997, Multiple Regression in Behavioral Research: Explanation and Prediction

[2]

A latent growth curve analysis of late-life sensory and cognitive function over 8 years: Evidence for specific and common factors underlying change [J].