ArticlePsychological bulletin2011
Between-individual variability and interpretation of associations between neurophysiological and behavioral measures in aging populations: comment on Salthouse (2011).
Article in Psychological bulletin, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Longitudinal non-linear changes in the microstructure of the hippocampal subfields in older adults.Neurobiology of aging · 2025Article
- Genetic contributions to Trail Making Test performance in UK Biobank.Molecular psychiatry · 2018Article
- Revisiting measurement invariance in intelligence testing in aging research: Evidence for almost complete metric invariance across age groups.Journal for person-oriented research · 2017Article
- Adult Lifespan Cognitive Variability in the Cross-Sectional Cam-CAN Cohort.International journal of environmental research and public health · 2015Article
- Cross-sectional versus longitudinal estimates of age-related changes in the adult brain: overlaps and discrepancies.Neurobiology of aging · 2015Article
- Life experience and demographic influences on cognitive function in older adults.Neuropsychology · 2014Article
- Correlational structure of 'frontal' tests and intelligence tests indicates two components with asymmetrical neurostructural correlates in old age.Intelligence · 2014Article
- What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus.Progress in neurobiology · 2014Review
- Article
- All data collection and analysis methods have limitations: reply to Rabbitt (2011) and Raz and Lindenberger (2011).Psychological bulletin · 2011Article
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Abstract
Salthouse (2011) argued that (a) variance between individuals on cognitive test scores remains constant between 20 and 90 years of age and (b) widely recognized problems of deducing functional relationships from patterns of correlations between measurements become especially severe for neuropsychological indices, especially for gross indices of age-related brain changes (e.g., losses of brain volume or increases in white matter lesions). I argue that between-individual variability on cognitive tests does increase with age and provides useful information on causes of age-related cognitive decline. I suggest that problems of inference from correlations are just as difficult for behavioral as for neurophysiological indices and that inclusion, in analyses, of even gross measures of brain status such as loss of volume and white matter lesions can correct misinterpretations that occur when only behavioral data are examined.
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