Spatial Abilities and Aging: A Meta-Analysis

Abstract

Background/Study Context: Age-related effects in performance on spatial tasks have been well documented, with results suggesting a negative effect on performance in older samples. Although meta-analyses have been conducted examining performance on specific spatial tasks, it appears that data incorporating a variety of tasks have not yet been integrated into a single meta-analyses.

Methods: The present study examined age-related effects on spatial abilities in a multilevel meta-analysis of 137 effect sizes, drawn from 80 samples dated between 1958 and 2011. In addition to sample characteristics (education, year of publication, and age range), procedural factors (spatial ability category, spatial task, dependent variable, task setting, and medium of administration) were also considered. The standardized mean difference (Cohen’s d) was used as the effect size measure in meta-analytic calculations.

Results: Results revealed a large (mean d = 1.01) age-related decrease in spatial performance on psychometric tests. Specifically, older adults (mean age range = 63–79.5 years) performed worse on psychometric tests than younger adults (mean age range = 17–28.6 years). Interestingly, this age effect was unaffected by factors such as specific test, test category (mental rotation, spatial perception, or spatial visualization), timing conditions, and group or individual administration. However, measures of response time produced significantly larger effects of age than measures of accuracy on spatial performance.

Conclusion: The present analysis demonstrates a clear pattern of negative age effects in spatial ability across the literature. Although these effects are unaffected by the specific spatial component under investigation or testing conditions, speed of processing was shown to be an important factor in spatial performance. The need to report more thoroughly on characteristics of young and old participants in future studies is also emphasized.

FUNDING

This research was funded by a Natural Sciences and Engineering Research Council of Canada (NSERC) operating grant to D. Voyer and a Canada Graduate Scholarship—Doctoral from NSERC to C. Techentin.