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Predicting normative data in healthy individuals on the computerized wisconsin card sorting test using regression
Samet Çelik1, Vural Yıldırım2, Züleyha Damla Güler1
1Department of Psychology, Bartin University, Bartin, Turkey.
Neurorehabilitation
|December 25, 2023
Summary
This study generated normative data for the computerized Wisconsin Card Sorting Test (WCST-CV) in healthy adults. Age and education significantly impact WCST-CV performance, necessitating age- and education-adjusted norms for accurate assessment.
Area of Science:
- Neuropsychology
- Cognitive Assessment
- Psychometrics
Background:
- Computerized neuropsychological tests offer efficiency but may show performance differences compared to manual versions.
- The Wisconsin Card Sorting Test (WCST) is one such test where manual and computerized versions exhibit performance discrepancies.
- Existing normative data for manual WCST cannot be applied to computerized versions, necessitating new normative data.
Purpose of the Study:
- To establish normative values for the computerized Wisconsin Card Sorting Test (WCST-CV) in a healthy adult population.
- To develop regression models for generating age- and education-adjusted norms for WCST-CV.
- To identify demographic factors influencing WCST-CV performance.
Main Methods:
- 422 healthy adults aged 18-78 participated.
- Regression analysis was employed to model WCST-CV sub-scores based on age and education level.
- Ordinary Least Squares (OLS) and Weighted Least Squares (WLS) were used for score estimation based on statistical assumptions.
Main Results:
- Regression models for WCST 2, WCST 3, WCST 4, WCST 10, and WCST 11 scores were found to be significant.
- Error rates, indicated by p-values, increased with higher age and education levels.
- Gender was not found to be a significant factor for any WCST-CV sub-score.
Conclusions:
- Normative data for WCST-CV were successfully generated for adults aged 18-78 using regression analysis.
- Age and education level were identified as crucial demographic variables for interpreting WCST-CV performance.
- The study underscores the need for specific normative data for computerized neuropsychological tests like WCST-CV.
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