Assessment · 2006 · 694 citations · 46 references
EducationBehavioral SciencesPsychologyCognitive PsychologyGerontologyIndividual DifferencesAge DifferencesCognitive AgingCognitive AssessmentCognitive DeclineCognitive Function AssessmentExecutive Function AssessmentAccuracyAge-related Executive Function DifferencesInterferenceNormative Data CollectionNormative Data EstablishmentStroop InterferenceStroop Task PerformanceStroop Test
The Stroop Color-Word Test was administered to 1,856 cognitively screened, healthy Dutch speaking participants aged 24 to 81 years. The effects of age, gender, and education on Stroop test performance were investigated to adequately stratify the normative data. The results showed that especially the speed-dependent Stroop scores (time to complete a subtest), rather than the accuracy measures (the errors made per Stroop sub-task), were profoundly affected by the demographic variables. In addition to the main effects of the demographic variables, an Age Low Level of Education interaction was found for the Error III and the Stroop Interference scores. This suggests that executive function, as measured by the Stroop test, declines with age and that the decline is more pronounced in people with a low level of education. This is consistent with the reserve hypothesis of brain aging (i.e., that education generates reserve capacity against the damaging effects of aging on brain functions). Normative Stroop data were established using both a regression-based and traditional approach, and the appropriateness of both methods for generating normative data is discussed.
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Marshal F. Folstein, Susan E. Folstein, Paul R. McHugh · Journal of Psychiatric Research · 1975 · 86.9K citations
Multiple regression: testing and interpreting interactions
Choice Reviews Online · 1992 · 37.2K citations
Studies of interference in serial verbal reactions.
J. Ridley Stroop · Journal of Experimental Psychology · 1935 · 18.3K citations · Full text
Applied Regression Analysis and Other Multivariable Methods
Esteban Walker, David G. Kleinbaum, Lawrence L. Kupper et al. · Technometrics · 1989 · 8.4K citations