Journal of Applied Science, Information and Computing

Ultra-short scales in employee assessment: balancing efficiency and accuracy

JASIC ID: d4fd79f82f January 1, 2025

Ultra-short scales in employee assessment: balancing efficiency and accuracy

E.O. Oladunmoye
Published January 1, 2025 Pages 96-101

Article Abstract

The increasing need for effective employee evaluation in the corporate world has stepped up application of ultra-short scales measures that have one to three items. These tools are useful because they save administration time, decrease survey fatigue, and reduce costs, although they pose serious psychometric challenges. The points presented in this paper are that ultra-short scales are at risk for construct underrepresentation, decreased reliability, and low validity, especially in regard to constructs with more than one dimension, such as burnout, engagement, and psychological safety. Empirical experiences prove that single-item and ultra-short measures are not effective to reflect the details needed to predict the outcomes because they can be effective only when the assessment targets the broad impressions. Their opponents note their practical advantages, such as higher response rates and popularity among managers in organizational environments where time is of the essence. In order to balance efficiency and rigor, this paper supports hybrid methods which make use of ultra-short scales as screening devices, supported by validated multi-item measures, and bolstered by predictive validation using artificial intelligence. The conclusion reiterates that ultra-short scales must not be substituted by the psychometric standards but rather used alongside them, so that efficiency, as well as accuracy, can be achieved in the making of organizational decisions.

Indexed Terms

Ultra-short scales Employee assessment Psychometrics Validity Reliability Survey efficiency
Citation

How to Cite this Article

E.O. Oladunmoye. "Ultra-short scales in employee assessment: balancing efficiency and accuracy." Journal of Applied Science, Information and Computing , vol. 6 , no. 2 , 2025 , pp. 96-101

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