| Fluency | R Documentation |
This dataset contains the scores of the Fruits Verbal Fluency Test. The N = 1241 test participants were instructed to generate as many words as possible that belong to the category ‘fruits’ (e.g., apple, orange, banana, etc.) within 60 seconds. These are simulated data based on the results described in Rivera et al. (2019).
data(Fluency)
A data.frame with 1241 observations on 3 variables.
IdThe Id number of the test participant.
CountryThe country where the test participant lives, coded as a factor.
FruitsThe number of correctly generated fruit names. Higher score is better.
Rivera et al. (2019). Normative Data For Verbal Fluency in Healthy Latin American Adults: Letter M, and Fruits and Occupations Categories. Neuropsychology, 33, 287-300.
Van der Elst, W. (2024). Regression-based normative data for psychological assessment: A hands-on approach using R. Springer Nature.
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