Literature DB >> 32148072

How to Correct for Computer Experience in Online Cognitive Testing?

Philippe R Lee Meeuw Kjoe1, Joost A Agelink van Rentergem1,2, Ivar E Vermeulen3, Sanne B Schagen1,2.   

Abstract

Objective: Since computerized cognitive test performance may be influenced by computer experience, correction for this measure might be needed. This study examined how to correct for computer experience by examining its influence on online and traditional tests. Method: 248 healthy adults completed an online neuropsychological test battery and 70 adults completed traditional equivalents of the tests. Computer experience was assessed by a performance-based and a self-report measure. Regression analyses were applied to examine their influence on the online and traditional tests.
Results: After correction for demographics, the performance-based measure was associated with online and traditional, predominantly speed-based, tests. The self-report measure was also associated with speed-based online tests but not with most traditional tests. Conclusions: Correcting computerized neuropsychological tests using a performance-based measure of computer experience would be unwise, because this measure also seems to tap into cognitive functions. A correction using a self-report measure might be better and is appropriate.

Entities:  

Keywords:  cognition; computer experience; computer skills; computerized testing; neuropsychological tests

Year:  2020        PMID: 32148072     DOI: 10.1177/1073191120911098

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  1 in total

1.  Reliability Evidence for the Gibson Assessment of Cognitive Skills (GACS): A Brief Tool for Screening Cognitive Skills Across the Lifespan.

Authors:  Amy Lawson Moore; Terissa M Miller; Christina Ledbetter
Journal:  Psychol Res Behav Manag       Date:  2021-01-13
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.