Literature DB >> 10752363

Computer-assisted judgment: defining strengths and liabilities.

D K Snyder1.   

Abstract

Clinicians often fail to recognize limitations in their own subjective judgments, make use of well-developed mechanical-prediction methods, or carefully evaluate which computer-based aids warrant their consideration. This article addresses issues regarding computer-based test interpretations (CBTIs) and computer-based decision making. Comments highlight conclusions reached by other contributors to this Special Section, additional literature bearing on these observations, and implications for consumers of computer-assisted techniques and researchers developing or evaluating these methods. The future of computer-assisted assessment depends on educating clinicians and researchers to be better consumers of existing as well as emerging technologies in this domain.

Mesh:

Year:  2000        PMID: 10752363     DOI: 10.1037//1040-3590.12.1.52

Source DB:  PubMed          Journal:  Psychol Assess        ISSN: 1040-3590


  3 in total

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Journal:  J Magn Reson Imaging       Date:  2011-02       Impact factor: 4.813

2.  Adolescent reactions to icon-driven response modes in a tablet-based health screening tool.

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Journal:  Comput Inform Nurs       Date:  2015-05       Impact factor: 1.985

3.  Q-interactive: Training Implications for Accuracy and Technology Integration.

Authors:  Stephanie Corcoran
Journal:  Contemp Sch Psychol       Date:  2021-03-01
  3 in total

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