2007
DOI: 10.1037/0012-1649.43.3.705
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Well-being affects changes in perceptual speed in advanced old age: Longitudinal evidence for a dynamic link.

Abstract: This study examined competing hypotheses about dynamic cross-domain associations between perceptual speed and well-being in advanced old age. We applied the bivariate dual change score model (J. J. McArdle & F. Hamagami, 2001) to 13-year incomplete longitudinal data from the Berlin Aging Study (P. B. Baltes & K. U. Mayer, 1999; N ϭ 516, 70 -103 years at T1, M ϭ 85 years). Reports of well-being were found to influence subsequent decline in perceptual speed (time lags of 2 years). No evidence was found for a dir… Show more

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Cited by 99 publications
(115 citation statements)
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References 116 publications
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“…This discrepancy illustrates that the model produces estimates of average within-person change in the overall sample whether or not an individual (or couple) stayed in the sample over time (i.e., MAR assumption; cf. Gerstorf et al, 2007). Acknowledging these average trends over time allows us to better understand the direction and size of the dynamics parameters from the Full Dynamics model that will be presented in more detail in the following.…”
Section: Resultsmentioning
confidence: 99%
“…This discrepancy illustrates that the model produces estimates of average within-person change in the overall sample whether or not an individual (or couple) stayed in the sample over time (i.e., MAR assumption; cf. Gerstorf et al, 2007). Acknowledging these average trends over time allows us to better understand the direction and size of the dynamics parameters from the Full Dynamics model that will be presented in more detail in the following.…”
Section: Resultsmentioning
confidence: 99%
“…DCSMs have been successfully used to investigate a number of research questions on coupled developmental processes in adulthood, for example couplings between well-being and cognition (Gerstorf et al, 2007), social participation and perceptual speed (Lovdén et al, 2005), and between different components of cognitive functioning (Finkel, Reynolds, McArdle, & Pedersen, 2007;Ghisletta & de Ribaupierre, 2005;Ghisletta & Lindenberger, 2003).…”
Section: Analysesmentioning
confidence: 99%
“…Our major focus is on the intervariable coupling parameters ␥ that allow for direct empirical comparison of competing substantive hypotheses regarding dynamic spousal interrelations. To do so, we directly compare differences in various goodness-of-fit indices of 4 statistically nested, less parsimonious models [27] against a reference model that freely estimated both across-spouse dynamics parameters (the Full Dynamics model). Specifically, in the model Dynamics ␥ Wives ] Husbands = 0, predictive effects from wives' SWB level for change in husbands' SWB were set to 0, but predictive effects of husbands for change among wives were freely estimated.…”
Section: Statistical Proceduresmentioning
confidence: 99%
“…To examine our questions, we applied a Bivariate Dual Change Score Model (BDCSM; [26][27][28][29]), which is shown in figure 1 with observed variables represented as squares, unobserved variables as circles, the constant as a triangle, fixed model parameters as 1-headed arrows and random parameters as 2-headed arrows. Unlabeled paths are fixed to 1.…”
Section: Statistical Proceduresmentioning
confidence: 99%