Multivariate modeling of age and retest in longitudinal studies of cognitive abilities

Emilio Ferrer, Timothy A. Salthouse, John J. McArdle, Walter F. Stewart, Brian S. Schwartz

Research output: Contribution to journalArticlepeer-review


Longitudinal multivariate mixed models were used to examine the correlates of change between memory and processing speed and the contribution of age and retest to such change correlates. Various age- and occasion-mixed models were fitted to 2 longitudinal data sets of adult individuals (N > 1,200). For both data sets, the results indicated that the correlation between the age slopes of memory and processing speed decreased when retest effects were included in the model. If retest effects existed in the data but were not modeled, the correlation between the age slopes was positively biased. The authors suggest that although the changes in memory and processing speed may be correlated over time, age alone does not capture such a covariation.

Original languageEnglish (US)
Pages (from-to)412-422
Number of pages11
JournalPsychology and aging
Issue number3
StatePublished - Sep 2005


  • Longitudinal methodology
  • Multivariate latent growth curves
  • Multivariate models of change
  • Practice effects

ASJC Scopus subject areas

  • Social Psychology
  • Aging
  • Geriatrics and Gerontology

Fingerprint Dive into the research topics of 'Multivariate modeling of age and retest in longitudinal studies of cognitive abilities'. Together they form a unique fingerprint.

Cite this