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2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

Russell Sage 2017 Summer Institute in Computational Social Science, June 18-July 1. Application deadline Feb 17.

Russell Sage 2-week workshop on social science genomics, June 11-23, 2017, Santa Barbara

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Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

Structure and Predictive Power of Intraindividual Variability in Health and Activity Measures

Publication Abstract

Ghisletta, P., J.R. Nesselroade, David Featherman, and J.W. Rowe. 2002. "Structure and Predictive Power of Intraindividual Variability in Health and Activity Measures." Swiss Journal of Psychology, 61(2): 73-83.

Intraindividual variability has been shown in many studies to be well structured over time and capable of predicting a wide range of behaviors. This study provides analyses of weekly variations of health and activity measurements in a sample (N = 52) of elderly persons (mean age = 77.5, SD = 7.2). The three main goals and results entailed: 1. Assessing the reliable nature of a health and an activity factor through a metric invariant confirmatory factor model; 2. Assessing the independence of intraindividual variability from level information and showing that the amount of intra-person variability during the first and second half of data collection correlate very highly; 3. Showing that intraindividual variability information of health and activity scores is superior to level information in predicting mortality.

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