By Hayden B Bosworth, Professor of Psychology Christopher Hertzog
Getting older and Cognition takes an interdisciplinary examine cognitive getting older - the way it occurs and the way to review it. the 1st a part of the ebook explores tools for measuring cognitive swap, together with how you can examine cohort results. the second one half explores the social and mental elements linked to cognitive getting older. And, ultimately, a quick concluding part explores the right way to use examine findings to enhance the typical functioning of adults - a difficult activity simply because daily functioning depends upon advanced cognitive projects, whereas so much cognitive examine measures in basic terms uncomplicated cognitive projects. This ebook is acceptable for cognitive psychologists; experimental psychologists; developmental psychologists; geropsychologists; neuropsychologists; and graduate scholars in cognitive and developmental psychology classes and their professors.
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Extra info for Aging and Cognition: Research Methodologies and Empirical Advances
McCammon, R. J. (2006). Modeling the effects of time: Integrating demographic and developmental perspectives. In R. H. Binstock & L. K. ), Handbook of aging and the social sciences (pp. 20-38). New York: Academic Press. Alwin, D. , & McCammon, R. J. (1999). Aging vs. cohort interpretations of intercohort differences in GSS verbal scores. American Sociological Review 64, 272-286. Alwin, D. , & McCammon, R. J. (2001). Aging, cohorts, and verbal ability. The Journals of Gerontology: Series B. Psychological Sciences and Social Sciences 56, S l - S l l .
Because the latter model is nested within the less restrictive time-based, multiple cohort model in which intercepts and slopes are unconstrained across cohorts, the test for cohort effects comes down to a comparison of the likelihood-ratio fit statistics for various models that specify cohort-specific parameters that differ from those in the age-based model (Alwin, 2009a; Alwin, Hofer, & McCammon, 2006). Results from our project involving cognitive measures from the HRS strongly suggest that failing to take cohort differences into account i n the investigation of patterns of cognitive aging can bias the assessment of rates of cognitive decline in older age (Alwin, 2009a; Alwin, McCammon, Rodgers, & Wray, 2008).
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Aging and Cognition: Research Methodologies and Empirical Advances by Hayden B Bosworth, Professor of Psychology Christopher Hertzog