An updated Italian normative dataset for the Stroop color word test (SCWT)

A. Brugnolo, F. De Carli, J. Accardo, M. Amore, L. E. Bosia, C. Bruzzaniti, S. F. Cappa, L. Cocito, G. Colazzo, M. Ferrara, L. Ghio, E. Magi, G. L. Mancardi, F. Nobili, M. Pardini, R. Rissotto, C. Serrati, N. Girtler

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The Stroop color and word test (SCWT) is widely used to evaluate attention, information processing speed, selective attention, and cognitive flexibility. Normative values for the Italian population are available only for selected age groups, or for the short version of the test. The aim of this study was to provide updated normal values for the full version, balancing groups across gender, age decades, and education. Two kinds of indexes were derived from the performance of 192 normal subjects, divided by decade (from 20 to 90) and level of education (4 levels: 3–5; 6–8; 9–13; >13 years). They were (i) the correct answers achieved for each table in the first 30 s (word items, WI; color items, CI; color word items, CWI) and (ii) the total time required for reading the three tables (word time, WT; color time, CT; color word time, CWT). For each index, the regression model was evaluated using age, education, and gender as independent variables. The normative data were then computed following the equivalent scores method. In the regression model, age and education significantly influenced the performance in each of the 6 indexes, whereas gender had no significant effect. This study confirms the effect of age and education on the main indexes of the Stroop test and provides updated normative data for an Italian healthy population, well balanced across age, education, and gender. It will be useful to Italian researchers studying attentional functions in health and disease.

Original languageEnglish
Pages (from-to)365-372
Number of pages8
JournalNeurological Sciences
Volume37
Issue number3
DOIs
Publication statusPublished - Mar 1 2016

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Color
Education
Stroop Test
Automatic Data Processing
Population
Datasets
Reading
Reference Values
Age Groups
Research Personnel
Health

Keywords

  • Executive functions
  • Italian normative dataset
  • SCWT
  • Selective attention

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health
  • Dermatology

Cite this

Brugnolo, A., De Carli, F., Accardo, J., Amore, M., Bosia, L. E., Bruzzaniti, C., ... Girtler, N. (2016). An updated Italian normative dataset for the Stroop color word test (SCWT). Neurological Sciences, 37(3), 365-372. https://doi.org/10.1007/s10072-015-2428-2

An updated Italian normative dataset for the Stroop color word test (SCWT). / Brugnolo, A.; De Carli, F.; Accardo, J.; Amore, M.; Bosia, L. E.; Bruzzaniti, C.; Cappa, S. F.; Cocito, L.; Colazzo, G.; Ferrara, M.; Ghio, L.; Magi, E.; Mancardi, G. L.; Nobili, F.; Pardini, M.; Rissotto, R.; Serrati, C.; Girtler, N.

In: Neurological Sciences, Vol. 37, No. 3, 01.03.2016, p. 365-372.

Research output: Contribution to journalArticle

Brugnolo, A, De Carli, F, Accardo, J, Amore, M, Bosia, LE, Bruzzaniti, C, Cappa, SF, Cocito, L, Colazzo, G, Ferrara, M, Ghio, L, Magi, E, Mancardi, GL, Nobili, F, Pardini, M, Rissotto, R, Serrati, C & Girtler, N 2016, 'An updated Italian normative dataset for the Stroop color word test (SCWT)', Neurological Sciences, vol. 37, no. 3, pp. 365-372. https://doi.org/10.1007/s10072-015-2428-2
Brugnolo A, De Carli F, Accardo J, Amore M, Bosia LE, Bruzzaniti C et al. An updated Italian normative dataset for the Stroop color word test (SCWT). Neurological Sciences. 2016 Mar 1;37(3):365-372. https://doi.org/10.1007/s10072-015-2428-2
Brugnolo, A. ; De Carli, F. ; Accardo, J. ; Amore, M. ; Bosia, L. E. ; Bruzzaniti, C. ; Cappa, S. F. ; Cocito, L. ; Colazzo, G. ; Ferrara, M. ; Ghio, L. ; Magi, E. ; Mancardi, G. L. ; Nobili, F. ; Pardini, M. ; Rissotto, R. ; Serrati, C. ; Girtler, N. / An updated Italian normative dataset for the Stroop color word test (SCWT). In: Neurological Sciences. 2016 ; Vol. 37, No. 3. pp. 365-372.
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