Literature DB >> 34292418

How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests.

Melissa Treviño1, Xiaoshu Zhu2, Yi Yi Lu3,4, Luke S Scheuer3,4, Eliza Passell3,4, Grace C Huang2, Laura T Germine3,4, Todd S Horowitz5.   

Abstract

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.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34292418     DOI: 10.1186/s41235-021-00313-1

Source DB:  PubMed          Journal:  Cogn Res Princ Implic        ISSN: 2365-7464


  71 in total

1.  Serial attention mechanisms in visual search: a direct behavioral demonstration.

Authors:  Emanuela Bricolo; Tiziana Gianesini; Alessandra Fanini; Claus Bundesen; Leonardo Chelazzi
Journal:  J Cogn Neurosci       Date:  2002-10-01       Impact factor: 3.225

2.  The d2 Test of attention: construct validity and extensions in scoring techniques.

Authors:  Marsha E Bates; Edward P Lemay
Journal:  J Int Neuropsychol Soc       Date:  2004-05       Impact factor: 2.892

Review 3.  Representing multiple objects as an ensemble enhances visual cognition.

Authors:  George A Alvarez
Journal:  Trends Cogn Sci       Date:  2011-02-02       Impact factor: 20.229

Review 4.  Neuropsychological tests of the future: How do we get there from here?

Authors:  Robert M Bilder; Steven P Reise
Journal:  Clin Neuropsychol       Date:  2018-11-13       Impact factor: 3.535

5.  Shared filtering processes link attentional and visual short-term memory capacity limits.

Authors:  Katherine C Bettencourt; Samantha W Michalka; David C Somers
Journal:  J Vis       Date:  2011-09-30       Impact factor: 2.240

6.  Cultural differences in visual attention: Implications for distraction processing.

Authors:  Tarek Amer; K W Joan Ngo; Lynn Hasher
Journal:  Br J Psychol       Date:  2016-03-06

Review 7.  Cognitive neuroscience-based approaches to measuring and improving treatment effects on cognition in schizophrenia: the CNTRICS initiative.

Authors:  Cameron S Carter; Deanna M Barch
Journal:  Schizophr Bull       Date:  2007-07-14       Impact factor: 9.306

8.  Selecting paradigms from cognitive neuroscience for translation into use in clinical trials: proceedings of the third CNTRICS meeting.

Authors:  Deanna M Barch; Cameron S Carter; Amy Arnsten; Robert W Buchanan; Jonathan D Cohen; Mark Geyer; Michael F Green; John H Krystal; Keith Nuechterlein; Trevor Robbins; Steven Silverstein; Edward E Smith; Milton Strauss; Til Wykes; Robert Heinssen
Journal:  Schizophr Bull       Date:  2008-11-20       Impact factor: 9.306

9.  Spatial-Sequential Working Memory in Younger and Older Adults: Age Predicts Backward Recall Performance within Both Age Groups.

Authors:  Louise A Brown
Journal:  Front Psychol       Date:  2016-10-04

10.  The Attention Network Test Database: ADHD and Cross-Cultural Applications.

Authors:  Swasti Arora; Michael A Lawrence; Raymond M Klein
Journal:  Front Psychol       Date:  2020-03-27
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  5 in total

1.  The TestMyBrain Digital Neuropsychology Toolkit: Development and Psychometric Characteristics.

Authors:  Shifali Singh; Roger W Strong; Laneé Jung; Frances Haofei Li; Liz Grinspoon; Luke S Scheuer; Eliza J Passell; Paolo Martini; Naomi Chaytor; Jason R Soble; Laura Germine
Journal:  J Clin Exp Neuropsychol       Date:  2021-12-15       Impact factor: 2.475

2.  Impact of active and latent concerns about COVID-19 on attention.

Authors:  Caitlin A Sisk; Yi Ni Toh; Jihyang Jun; Roger W Remington; Vanessa G Lee
Journal:  Cogn Res Princ Implic       Date:  2022-06-03

3.  Simultaneous Damage of the Cingulate Cortex Zone II and Fronto-Striatal Circuit Causes Prolonged Selective Attentional Deficits.

Authors:  Riho Nakajima; Masashi Kinoshita; Mitsutoshi Nakada
Journal:  Front Hum Neurosci       Date:  2021-12-24       Impact factor: 3.169

4.  Motor speed does not impact the drift rate: a computational HDDM approach to differentiate cognitive and motor speed.

Authors:  Joshua Sandry; Timothy J Ricker
Journal:  Cogn Res Princ Implic       Date:  2022-07-22

5.  Test-retest reliability for common tasks in vision science.

Authors:  Kait Clark; Kayley Birch-Hurst; Charlotte R Pennington; Austin C P Petrie; Joshua T Lee; Craig Hedge
Journal:  J Vis       Date:  2022-07-11       Impact factor: 2.004

  5 in total

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