Literature DB >> 34907842

The TestMyBrain Digital Neuropsychology Toolkit: Development and Psychometric Characteristics.

Shifali Singh1,2, Roger W Strong1,2, Laneé Jung1,2, Frances Haofei Li1,2, Liz Grinspoon1,2, Luke S Scheuer1,2, Eliza J Passell1,2, Paolo Martini1,2, Naomi Chaytor3, Jason R Soble4,5, Laura Germine1,2.   

Abstract

INTRODUCTION: To allow continued administration of neuropsychological evaluations remotely during the pandemic, tests from the not-for-profit platform, TestMyBrain.org (TMB), were used to develop the TMB Digital Neuropsychology Toolkit (DNT). This study details the psychometric characteristics of the DNT, as well as the infrastructure and development of the DNT.
METHOD: The DNT was primarily distributed for clinical use, with (72.8%) of individuals requesting access for clinical purposes. To assess reliability and validity of the DNT, anonymous data from DNT test administrations were analyzed and compared to a large, non-clinical normative sample from TMB.
RESULTS: DNT test scores showed acceptable to very good split-half reliability (.68-.99). Factor analysis revealed three latent factors, corresponding to processing speed, working memory, and a broader general cognitive ability factor that included perceptual reasoning and episodic memory. Average test scores were slightly poorer for the DNT sample than for the TMB comparison sample, as expected given the clinical use of the DNT.
CONCLUSIONS: Initial estimates of reliability and validity of DNT tests support their use as digital measures of neuropsychological functioning. Tests within cognitive domains correlated highly with each other and demonstrated good reliability and validity. Future work will seek to validate DNT tests in specific clinical populations and determine best practices for using DNT outcome measures to assess engagement and psychological symptomatology.

Entities:  

Keywords:  Digital neuropsychology; assessment; cognition; psychometrics; remote testing; teleneuropsychology

Mesh:

Year:  2021        PMID: 34907842      PMCID: PMC8922997          DOI: 10.1080/13803395.2021.2002269

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  15 in total

1.  Human face recognition ability is specific and highly heritable.

Authors:  Jeremy B Wilmer; Laura Germine; Christopher F Chabris; Garga Chatterjee; Mark Williams; Eric Loken; Ken Nakayama; Bradley Duchaine
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-22       Impact factor: 11.205

2.  Initial changes in neuropsychologists clinical practice during the COVID-19 pandemic: A survey study.

Authors:  David E Marra; James B Hoelzle; Jeremy J Davis; Eben S Schwartz
Journal:  Clin Neuropsychol       Date:  2020-07-29       Impact factor: 3.535

Review 3.  Digital neuropsychology: Challenges and opportunities at the intersection of science and software.

Authors:  Laura Germine; Katharina Reinecke; Naomi S Chaytor
Journal:  Clin Neuropsychol       Date:  2019-01-06       Impact factor: 3.535

Review 4.  Technology meets tradition: a hybrid model for implementing digital tools in neuropsychology.

Authors:  Shifali Singh; Laura Germine
Journal:  Int Rev Psychiatry       Date:  2020-11-25

5.  When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span.

Authors:  Joshua K Hartshorne; Laura T Germine
Journal:  Psychol Sci       Date:  2015-03-13

6.  Sustained Attention Across the Life Span in a Sample of 10,000: Dissociating Ability and Strategy.

Authors:  Francesca C Fortenbaugh; Joseph DeGutis; Laura Germine; Jeremy B Wilmer; Mallory Grosso; Kathryn Russo; Michael Esterman
Journal:  Psychol Sci       Date:  2015-08-07

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

Authors:  Melissa Treviño; Xiaoshu Zhu; Yi Yi Lu; Luke S Scheuer; Eliza Passell; Grace C Huang; Laura T Germine; Todd S Horowitz
Journal:  Cogn Res Princ Implic       Date:  2021-07-22

8.  Capturing specific abilities as a window into human individuality: the example of face recognition.

Authors:  Jeremy B Wilmer; Laura Germine; Christopher F Chabris; Garga Chatterjee; Margaret Gerbasi; Ken Nakayama
Journal:  Cogn Neuropsychol       Date:  2012       Impact factor: 2.468

9.  Heterogeneous Indicators of Cognitive Performance and Performance Variability Across the Lifespan.

Authors:  Lauren A Rutter; Ipsit V Vahia; Brent P Forester; Kerry J Ressler; Laura Germine
Journal:  Front Aging Neurosci       Date:  2020-03-06       Impact factor: 5.750

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