title: Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004.
abstract: The present study was conducted to better describe age trends in cognition among older adults in the longitudinal Health and Retirement Study (HRS) from 1992 to 2004 (N = 17,000). The authors used contemporary latent variable models to organize this information in terms of both cross-sectional and longitudinal inferences about age and cognition. Common factor analysis results yielded evidence for at least 2 common factors, labeled Episodic Memory and Mental Status, largely separable from vocabulary. Latent path models with these common factors were based on demographic characteristics. Multilevel models of factorial invariance over age indicated that at least 2 common factors were needed. Latent curve models of episodic memory were based on age at testing and showed substantial age differences and age changes, including impacts due to retesting as well as several time-invariant and time-varying predictors.
authors.affiliation: Department of Psychology, University of Southern California.
authors.forename: John J
authors.initials: JJ
authors.lastname: McArdle
authors.affiliation: Institute for Social Research, University of Michigan.
authors.forename: Gwenith G
authors.initials: GG
authors.lastname: Fisher
authors.affiliation: Department of Psychology, University of Southern California.
authors.forename: Kelly M
authors.initials: KM
authors.lastname: Kadlec
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000523:psychology*; D003071:Cognition; D005260:Female; D006306:Health Surveys; D006801:Humans; D007206:Individuality; D008137:Longitudinal Studies; D008297:Male; D011939:Mental Recall; D008609:Mental Status Schedule / Q000706:statistics & numerical data*; D008875:Middle Aged; D015233:Models, Statistical; D009483:Neuropsychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics; D012153:Retention, Psychology; D012737:Sex Factors; D014481:United States