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Autor/inn/enGrimm, Kevin J.; An, Yang; McArdle, John J.; Zonderman, Alan B.; Resnick, Susan M.
TitelRecent Changes Leading to Subsequent Changes: Extensions of Multivariate Latent Difference Score Models
QuelleIn: Structural Equation Modeling: A Multidisciplinary Journal, 19 (2012) 2, S.268-292 (25 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1070-5511
DOI10.1080/10705511.2012.659627
SchlagwörterMemory; Older Adults; Brain; Structural Equation Models; Statistical Analysis; Evaluation Research; Predictor Variables; Hypothesis Testing; Federal Aid; Aging (Individuals); Geriatrics; Longitudinal Studies; Scores; Measurement Techniques; Maryland
AbstractLatent difference score models (e.g., McArdle & Hamagami, 2001) are extended to include effects from prior changes to subsequent changes. This extension of latent difference scores allows for testing hypotheses where recent changes, as opposed to recent levels, are a primary predictor of subsequent changes. These models are applied to bivariate longitudinal data collected as part of the Baltimore Longitudinal Study of Aging on memory performance, measured by the California Verbal Learning Test, and lateral ventricle size, measured by structural MRIs. Results indicate that recent increases in the lateral ventricle size were a leading indicator of subsequent declines in memory performance from age 60 to 90. (Contains 4 tables, 2 footnotes, and 8 figures.) (As Provided).
AnmerkungenPsychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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