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How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests
We investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neur...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298746/ https://www.ncbi.nlm.nih.gov/pubmed/34292418 http://dx.doi.org/10.1186/s41235-021-00313-1 |
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author | Treviño, Melissa Zhu, Xiaoshu Lu, Yi Yi Scheuer, Luke S. Passell, Eliza Huang, Grace C. Germine, Laura T. Horowitz, Todd S. |
author_facet | Treviño, Melissa Zhu, Xiaoshu Lu, Yi Yi Scheuer, Luke S. Passell, Eliza Huang, Grace C. Germine, Laura T. Horowitz, Todd S. |
author_sort | Treviño, Melissa |
collection | PubMed |
description | We investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neuroscience? We built on the “general attention factor”, comprising several widely used experimental paradigms (Huang et al., 2012). Participants (n = 636) completed an on-line battery (TestMyBrain.org) of six experimental tests [Multiple Object Tracking, Flanker Interference, Visual Working Memory, Approximate Number Sense, Spatial Configuration Visual Search, and Gradual Onset Continuous Performance Task (Grad CPT)] and eight neuropsychological tests [Trail Making Test versions A & B (TMT-A, TMT-B), Digit Symbol Coding, Forward and Backward Digit Span, Letter Cancellation, Spatial Span, and Arithmetic]. Exploratory factor analysis in a subset of 357 participants identified a five-factor structure: (1) attentional capacity (Multiple Object Tracking, Visual Working Memory, Digit Symbol Coding, Spatial Span), (2) search (Visual Search, TMT-A, TMT-B, Letter Cancellation); (3) Digit Span; (4) Arithmetic; and (5) Sustained Attention (GradCPT). Confirmatory analysis in 279 held-out participants showed that this model fit better than competing models. A hierarchical model where a general cognitive factor was imposed above the five specific factors fit as well as the model without the general factor. We conclude that Digit Span and Arithmetic tests should not be classified as attention tests. Digit Symbol Coding and Spatial Span tap attentional capacity, while TMT-A, TMT-B, and Letter Cancellation tap search (or attention-shifting) ability. These five tests can be classified as attention tests. |
format | Online Article Text |
id | pubmed-8298746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82987462021-08-12 How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests Treviño, Melissa Zhu, Xiaoshu Lu, Yi Yi Scheuer, Luke S. Passell, Eliza Huang, Grace C. Germine, Laura T. Horowitz, Todd S. Cogn Res Princ Implic Original Article We investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neuroscience? We built on the “general attention factor”, comprising several widely used experimental paradigms (Huang et al., 2012). Participants (n = 636) completed an on-line battery (TestMyBrain.org) of six experimental tests [Multiple Object Tracking, Flanker Interference, Visual Working Memory, Approximate Number Sense, Spatial Configuration Visual Search, and Gradual Onset Continuous Performance Task (Grad CPT)] and eight neuropsychological tests [Trail Making Test versions A & B (TMT-A, TMT-B), Digit Symbol Coding, Forward and Backward Digit Span, Letter Cancellation, Spatial Span, and Arithmetic]. Exploratory factor analysis in a subset of 357 participants identified a five-factor structure: (1) attentional capacity (Multiple Object Tracking, Visual Working Memory, Digit Symbol Coding, Spatial Span), (2) search (Visual Search, TMT-A, TMT-B, Letter Cancellation); (3) Digit Span; (4) Arithmetic; and (5) Sustained Attention (GradCPT). Confirmatory analysis in 279 held-out participants showed that this model fit better than competing models. A hierarchical model where a general cognitive factor was imposed above the five specific factors fit as well as the model without the general factor. We conclude that Digit Span and Arithmetic tests should not be classified as attention tests. Digit Symbol Coding and Spatial Span tap attentional capacity, while TMT-A, TMT-B, and Letter Cancellation tap search (or attention-shifting) ability. These five tests can be classified as attention tests. Springer International Publishing 2021-07-22 /pmc/articles/PMC8298746/ /pubmed/34292418 http://dx.doi.org/10.1186/s41235-021-00313-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Treviño, Melissa Zhu, Xiaoshu Lu, Yi Yi Scheuer, Luke S. Passell, Eliza Huang, Grace C. Germine, Laura T. Horowitz, Todd S. How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests |
title | How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests |
title_full | How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests |
title_fullStr | How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests |
title_full_unstemmed | How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests |
title_short | How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests |
title_sort | how do we measure attention? using factor analysis to establish construct validity of neuropsychological tests |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298746/ https://www.ncbi.nlm.nih.gov/pubmed/34292418 http://dx.doi.org/10.1186/s41235-021-00313-1 |
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