TY - JOUR
T1 - Constraints on general slowing
T2 - A meta-analysis using hierarchical linear models with random coefficients
AU - Sliwinski, Martin J.
AU - Hall, Charles B.
N1 - Copyright:
Copyright 2007 Elsevier B.V., All rights reserved.
PY - 1998
Y1 - 1998
N2 - General slowing (GS) theories are often tested by meta-analyses that model mean latencies of older adults as a function of mean latencies of younger adults. Ordinary least squares (OLS) regression is inappropriate for this purpose because it fails to account for the nested structure of multitask response time (RT) data. Hierarchial linear models (HLM) are an alternative method for analyzing such data. OLS analysis of data from 21 studies that used iterative cognitive tasks 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. The authors conclude that HLM is more suitable than OLS methods for meta-analyses of RT data and for testing GS theories.
AB - General slowing (GS) theories are often tested by meta-analyses that model mean latencies of older adults as a function of mean latencies of younger adults. Ordinary least squares (OLS) regression is inappropriate for this purpose because it fails to account for the nested structure of multitask response time (RT) data. Hierarchial linear models (HLM) are an alternative method for analyzing such data. OLS analysis of data from 21 studies that used iterative cognitive tasks 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. The authors conclude that HLM is more suitable than OLS methods for meta-analyses of RT data and for testing GS theories.
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U2 - 10.1037/0882-7974.13.1.164
DO - 10.1037/0882-7974.13.1.164
M3 - Article
C2 - 9533199
AN - SCOPUS:0031976566
SN - 0882-7974
VL - 13
SP - 164
EP - 175
JO - Psychology and aging
JF - Psychology and aging
IS - 1
ER -