Swipe Right on Personality: A Mobile Response Latency Measure

Abstract

Purpose: While high-stakes mobile assessment is increasing, researchers have done little to adapt traditional assessments to this new medium. The present study developed and tested a new response method for personality assessment using a mobile-first gamification design paradigm. Design/methodology/approach: Participants used smartphones to "swipe" right or left to indicate agreement or disagreement with Goldberg's (1992) Big Five adjective indicators. These scores were correlated with responses to a Likert-type measure and participants provided reactions to both measures. Findings: Each of the swipe-based measures was found to be a reliable and valid predictor of the corresponding dimensions measured using the Likert-type scale. Reactions to the swipe measure were mixed when compared to a traditional Likert-type measure. Response latencies of swipes were used as an indicator of self-schema beliefs. Transformed latency scores contributed incremental variance to the prediction of Likert responses beyond the dichotomous responses alone for some personality dimensions. Research limitations/implications: Convergent validity between the two measures was likely attenuated due to differences in scales, response methods, devices, connection speeds, and social desirability effects indicating that the present results may constitute a lower-bound estimate of convergent validity between the two measurement styles. Practical implications: Designing assessments for mobile administration requires balancing trade-offs in speed, ease of use, and number of items relative to the reliability and validity of the measures. Originality/value: Mobile-first designs such as swipe-based responses show potential to enhance future mobile assessment practices with further development.

Department(s)

Psychological Science

Keywords and Phrases

Personality; Psychometrics; Selection

International Standard Serial Number (ISSN)

0268-3946

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Emerald, All rights reserved.

Publication Date

19 Aug 2020

Link to Full Text

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