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Centre for Policy on Ageing | |
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| Constraints on general slowing: a meta-analysis using hierarchical linear models with random coefficients | | Author(s) | Martin J Sliwinski, Charles B Hall |
| Journal title | Psychology and Aging, vol 13, no 1, March 1998 |
| Pages | pp 164-175 |
| Keywords | Mental speed ; Memory and Reminiscence ; Cognitive processes ; Older people ; Young people ; United States of America. |
| Annotation | General slowing (GS) theories are often tested by meta-analyses that model mean latencies of older people as a function of mean latencies of younger people. Ordinary least squares (OLS) regression is inappropriate for this purpose because of its failure to account for the nested structure of multi-task response time (RT) data. Hierarchical linear models (HLM) are an alternative method for analysing such data. A literature search was conducted to find studies that used iterative cognitive tasks. OLS data from 21 studies found supported GS; however, HLM analysis demonstrated significant variance in slowing across experimental tasks and a process-specific effect by showing less slowing for memory scanning than for visual search and mental rotation tasks. It is concluded that HLM is more suitable than OLS methods for meta-analyses of RT data and for testing GS theories. (AKM). |
| Accession Number | CPA-980708415 A |
| Classmark | DG: DB: DA: B: SB: 7T |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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