Abstract

One important problem in the measurement of non-cognitive characteristics such as personality traits and attitudes is that it has traditionally been made through Likert scales, which are susceptible to response biases such as social desirability (SDR) and acquiescent (ACQ) responding. Given the variability of these response styles in the population, ignoring their possible effects on the scores may compromise the fairness and the validity of the assessments. Also, response-style-induced errors of measurement can affect the reliability estimates and overestimate convergent validity by correlating higher with other Likert-scale-based measures. Conversely, it can attenuate the predictive power over non-Likert-based indicators, given that the scores contain more errors. This study compares the validity of the Big Five personality scores obtained: (1) ignoring the SDR and ACQ in graded-scale items (GSQ), (2) accounting for SDR and ACQ with a compensatory IRT model, and (3) using forced-choice blocks with a multi-unidimensional pairwise preference model (MUPP) variant for dominance items. The overall results suggest that ignoring SDR and ACQ offered the worst validity evidence, with a higher correlation between personality and SDR scores. The two remaining strategies have their own advantages and disadvantages. The results from the empirical reliability and the convergent validity analysis indicate that when modeling social desirability with graded-scale items, the SDR factor apparently captures part of the variance of the Agreeableness factor. On the other hand, the correlation between the corrected GSQ-based Openness to Experience scores, and the University Access Examination grades was higher than the one with the uncorrected GSQ-based scores, and considerably higher than that using the estimates from the forced-choice data. Conversely, the criterion-related validity of the Forced Choice Questionnaire (FCQ) scores was similar to the results found in meta-analytic studies, correlating higher with Conscientiousness. Nonetheless, the FCQ-scores had considerably lower reliabilities and would demand administering more blocks. Finally, the results are discussed, and some notes are provided for the treatment of SDR and ACQ in future studies.

Highlights

  • In recent years, there has been a growing interest in expanding the assessment of non-cognitive characteristics such as personality traits to the field of education given their association with academic and professional achievement (Burrus et al, 2011)

  • Item Response Theory (IRT) models have proved to be an excellent tool to overcome the Forced Choice Questionnaire (FCQ) ipsativity issue, since it allows the recovery of normative scores even for purely ipsative tasks (e.g., Brown and Maydeu-Olivares, 2013; Hontangas et al, 2015; Morillo et al, 2016). Given that it is still unclear which should be the best approach for dealing with response biases in non-cognitive assessment, this study aims to compare the validity of the Five-Factor Model (FFM) scores obtained in an educational setting through the application of three different approaches: (1) ignoring the social desirability (SDR) and Acquiescence traits in Likert-format items, (2) using a within-item multidimensional model accounting for SDR and Acquiescence in Likert-format items, and (3) using the forced-choice format within the IRT framework

  • The dataset consisted of the responses of university students to a Personality Graded-Scale Questionnaire (GSQ), a multidimensional FCQ, and self-reported grades in the University Access Examination (UAE)

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Summary

Introduction

There has been a growing interest in expanding the assessment of non-cognitive characteristics such as personality traits to the field of education given their association with academic and professional achievement (Burrus et al, 2011). Along with Emotional Stability, the predictive validity of Conscientiousness over job performance is consistent across all occupations, while the remaining FFM traits are useful for specific criteria and occupations, e.g., Extraversion predicts job performance in occupations where interactions with others are important (Barrick and Mount, 1991) The assessment of such characteristics can be useful for selection purposes, and in low-stake situations, i.e., with no direct impact on the respondent’s career or opportunities, such as educational settings, as it can be a tool to enhance performance by providing individualized training (Poropat, 2014). Subjects with low Conscientiousness scores are expected to have difficulties with goal setting and sustained effort (Barrick et al, 1993; Judge and Ilies, 2002), while subjects with low Emotional Stability are expected to be distracted from their goals because of anxiety and self-talk (De Raad and Schouwenburg, 1996), and may benefit from metacognitive training

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