Shorter can be better: Balancing length and predictive power when measuring noncognitive skills to predict academic outcomes

Shuaizhang Feng, Yu Gan, Yujie Han and Tim Kautz

Economics Letters, 2024, vol. 236, issue C

Abstract: We develop shorter versions of a Big Five survey designed to measure students’ noncognitive skills and predict students’ later academic outcomes. We find that measures with fewer items can better predict students’ outcomes, suggesting that using shorter versions of a Big Five Inventory may be cost-effective in large-scale social surveys.

Keywords: Abbreviated surveys; Big Five; Predictive power; Noncognitive skills; Personality traits (search for similar items in EconPapers)
JEL-codes: C83 I20 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:236:y:2024:i:c:s0165176524000818

DOI: 10.1016/j.econlet.2024.111598

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