Journal Article10.1037/0882-7974.17.4.690
Can longitudinal changes in processing speed explain longitudinal age changes in fluid intelligence
Daniel Zimprich,Mike Martin +1 more
135
TL;DR: The processing-speed theory of cognitive aging contends that age-related declines in intellectual function reflect the consequences of age- related slowing of processing speed, and cross-sectional data support this assumption.
read more
Abstract: The processing-speed theory of cognitive aging contends tha age-related declines in intellectual function reflect the consequences of age-related slowing of processing speed. Cross-sectional data support this assumption. The association between 4-year changes in processing speed and 4-year changes in fluid intelligence was examined with a sample of 417 older adults. Changes in processing speed correlated .53 with changes in fluid intelligence. The difference in the explanatory power of processing speed regarding age-related differences and age-related changes is discussed with reference to other longitudinal studies and methodological considerations.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
The Impact of Speed of Processing Training on Cognitive and Everyday Functions
TL;DR: Results indicated that training produces immediate improvements across all subtests of the Useful Field of View test, particularly for older adults with initial speed of processing deficits.
415
Intelligence and speed of information-processing: A review of 50 years of research
TL;DR: A large-scale literature review of research studying the relationship between intelligence and speed of information-processing was conducted by as mentioned in this paper, who found that measures of intelligence are significantly correlated with mental speed and that for some measures this relationship shows a trend toward strengthening as the complexity of the speeded tasks increase.
406
Cross-sectional age variance extraction: what's change got to do with it?
TL;DR: It is shown that: (a) longitudinal change in a mediator variable accounting for substantial cross-sectional age-related variance in the target variable need not correlate with the targetVariable's longitudinal change; and, conversely, (b) longitudinalchange in amediator not sharing cross-section age- related variance with thetarget variable may nevertheless correlate highly with that variable's longitudinalchange.
Cross-Sectional Age Differences and Longitudinal Age Changes of Personality in Middle Adulthood and Old Age
TL;DR: A variety of medium effect-sized correlated changes in the Big Five personality domains across the 4-year period was established, implying that personality changes share a certain amount of commonality.
249
Total MRI load of cerebral small vessel disease and cognitive ability in older people
Julie Staals,Tom Booth,Zoe Morris,Mark E. Bastin,Alan J. Gow,Janie Corley,Paul Redmond,John M. Starr,Ian J. Deary,Joanna M. Wardlaw +9 more
TL;DR: Total MRI load of SVD is associated with lower general cognitive ability in older age and performed consistently with the more complex latent variable model, suggesting validity and potential utility in future research for determining total SVD load.
249
References
The processing-speed theory of adult age differences in cognition.
TL;DR: A theory is proposed that increased age in adulthood is associated with a decrease in the speed with which many processing operations can be executed and that this reduction in speed leads to impairments in cognitive functioning because of what are termed the limited time mechanism and the simultaneity mechanism.
5.5K
Handbook of multivariate experimental psychology
TL;DR: The Meaning and Strategic Use of Factor Analysis and its Role and Relationships among Statistical Methods are explained.
1.9K
Advanced structural equation modeling : issues and techniques
TL;DR: In this article, the Kenny-Judd model with interaction effects is used for cross-domain analysis of change over time, combining growth modeling and covariance structure analysis, and a limited-information estimator for LISREL models with or without Heteroscedastic Errors is presented.
1.4K
Meta-analyses of age–cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models.
TL;DR: An examination of quadratic age effects and correlational patterns for subsamples under and over 50 years of age revealed that negative age-cognition relations were significant for the 18- to 50-year-old sample and the age-related decline accelerated significantly over the adult life span for variables assessing speed, reasoning, and episodic memory.
1K