An updated Italian normative dataset for the Stroop color word test (SCWT).
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| Title: | An updated Italian normative dataset for the Stroop color word test (SCWT). |
|---|---|
| Authors: | Brugnolo, A., Carli, F., Accardo, J., Amore, M., Bosia, L., Bruzzaniti, C., Cappa, S., Cocito, L., Colazzo, G., Ferrara, M., Ghio, L., Magi, E., Mancardi, G., Nobili, F., Pardini, M., Rissotto, R., Serrati, C., Girtler, N., De Carli, F (AUTHOR), Bosia, L E (AUTHOR) |
| Source: | Neurological Sciences. Mar2016, Vol. 37 Issue 3, p365-372. 8p. 5 Charts. |
| Subjects: | Stroop effect, Cognitive Abilities Test, Selectivity (Psychology), Italians, Executive function, Health, Age distribution, Attention, Neuropsychological tests, Motor ability, Reference values, Regression analysis, Sex distribution, Visual perception, Educational attainment |
| Geographic Terms: | Italy |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 113706384 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An updated Italian normative dataset for the Stroop color word test (SCWT). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brugnolo%2C+A%2E%22">Brugnolo, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Carli%2C+F%2E%22">Carli, F.</searchLink><br /><searchLink fieldCode="AR" term="%22Accardo%2C+J%2E%22">Accardo, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Amore%2C+M%2E%22">Amore, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Bosia%2C+L%2E%22">Bosia, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Bruzzaniti%2C+C%2E%22">Bruzzaniti, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Cappa%2C+S%2E%22">Cappa, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Cocito%2C+L%2E%22">Cocito, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Colazzo%2C+G%2E%22">Colazzo, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Ferrara%2C+M%2E%22">Ferrara, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Ghio%2C+L%2E%22">Ghio, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Magi%2C+E%2E%22">Magi, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Mancardi%2C+G%2E%22">Mancardi, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Nobili%2C+F%2E%22">Nobili, F.</searchLink><br /><searchLink fieldCode="AR" term="%22Pardini%2C+M%2E%22">Pardini, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Rissotto%2C+R%2E%22">Rissotto, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Serrati%2C+C%2E%22">Serrati, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Girtler%2C+N%2E%22">Girtler, N.</searchLink><br /><searchLink fieldCode="AR" term="%22De+Carli%2C+F%22">De Carli, F</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bosia%2C+L+E%22">Bosia, L E</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Mar2016, Vol. 37 Issue 3, p365-372. 8p. 5 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Stroop+effect%22">Stroop effect</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Abilities+Test%22">Cognitive Abilities Test</searchLink><br /><searchLink fieldCode="DE" term="%22Selectivity+%28Psychology%29%22">Selectivity (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Italians%22">Italians</searchLink><br /><searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Health%22">Health</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Attention%22">Attention</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychological+tests%22">Neuropsychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+ability%22">Motor ability</searchLink><br /><searchLink fieldCode="DE" term="%22Reference+values%22">Reference values</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+attainment%22">Educational attainment</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Italy%22">Italy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10072-015-2428-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 365 Subjects: – SubjectFull: Stroop effect Type: general – SubjectFull: Cognitive Abilities Test Type: general – SubjectFull: Selectivity (Psychology) Type: general – SubjectFull: Italians Type: general – SubjectFull: Executive function Type: general – SubjectFull: Health Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Attention Type: general – SubjectFull: Neuropsychological tests Type: general – SubjectFull: Motor ability Type: general – SubjectFull: Reference values Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Visual perception Type: general – SubjectFull: Educational attainment Type: general – SubjectFull: Italy Type: general Titles: – TitleFull: An updated Italian normative dataset for the Stroop color word test (SCWT). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brugnolo, A. – PersonEntity: Name: NameFull: Carli, F. – PersonEntity: Name: NameFull: Accardo, J. – PersonEntity: Name: NameFull: Amore, M. – PersonEntity: Name: NameFull: Bosia, L. – PersonEntity: Name: NameFull: Bruzzaniti, C. – PersonEntity: Name: NameFull: Cappa, S. – PersonEntity: Name: NameFull: Cocito, L. – PersonEntity: Name: NameFull: Colazzo, G. – PersonEntity: Name: NameFull: Ferrara, M. – PersonEntity: Name: NameFull: Ghio, L. – PersonEntity: Name: NameFull: Magi, E. – PersonEntity: Name: NameFull: Mancardi, G. – PersonEntity: Name: NameFull: Nobili, F. – PersonEntity: Name: NameFull: Pardini, M. – PersonEntity: Name: NameFull: Rissotto, R. – PersonEntity: Name: NameFull: Serrati, C. – PersonEntity: Name: NameFull: Girtler, N. – PersonEntity: Name: NameFull: De Carli, F – PersonEntity: Name: NameFull: Bosia, L E IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 15901874 Numbering: – Type: volume Value: 37 – Type: issue Value: 3 Titles: – TitleFull: Neurological Sciences Type: main |
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