A psychometric view of technology-based assessments

With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether...

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Bibliographic Details
Published inInternational journal of testing Vol. 22; no. 3-4; pp. 216 - 242
Main Authors Liou, Gloria, Bonner, Cavan V., Tay, Louis
Format Journal Article
LanguageEnglish
Published Philadelphia Routledge 02.10.2022
Taylor & Francis Ltd
Subjects
Adaptive Testing
Algorithms
Artificial Intelligence
assessment
Bias
Big Data
Computer Assisted Testing
Data
Gamification
machine learning
Measurement
organic data
Psychometrics
Quantitative psychology
Reliability
Technology
Test Bias
Test Reliability
Test Validity
validity
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Summary:With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are appropriate. We focus on three technological advances-the use of organic data for psychological assessments, the application of machine learning algorithms, and adaptive and gamified assessments-and review how the concepts of validity, reliability, and measurement bias may apply in particular ways within those areas. This provides direction for researchers and practitioners to advance the rigor of technology-based assessments from a psychometric perspective.
ISSN:1530-5058
1532-7574
DOI:10.1080/15305058.2022.2070757