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Modeling the impact of test anxiety and test familiarity on the criterion-related validity of cognitive ability tests
Authors:Charlie L Reeve  Eric D Heggestad  Filip Lievens
Institution:1. University of North Carolina Charlotte, United States;2. Ghent University, United States;1. The Brain and Mind Institute, The Natural Sciences Centre, Department of Psychology, The University of Western Ontario, London, ON N6A 5B7, Canada;2. Science Museum, Exhibition Road, London SW72DD, UK;3. Cognitive, Computational and Clinical Neuroimaging Lab, Imperial College London, UK;1. Department of Applied Mathematics, China Agricultural University, Beijing 100083, China;2. Department of Mathematics and Institute of Pure and Applied Mathematics, Chonbuk National University, 567 Baekje-daero, deokjin-gu, Jeonju-si, Jeollabuk-do 54896, South Korea;2. APHP Hôpital R Muret, Hôpitaux Universitaires de Paris Seine Saint Denis, Sevran, France
Abstract:The assessment of cognitive abilities, whether it is for purposes of basic research or applied decision making, is potentially susceptible to both facilitating and debilitating influences. However, relatively little research has examined the degree to which these factors might moderate the criterion-related validity of cognitive ability tests. To address this gap, we use Classical Test Theory formulas to articulate how test anxiety and test familiarity can influence observed scores, observed score variance, and most importantly, the criterion-related validity of observed scores. The resulting equations reveal that understanding the influence of test anxiety and test familiarity on criterion-related validity coefficients requires the consideration of a number of additional parameters. To elucidate the implications of the model, we present a Monte Carlo simulation. Results show that anxiety and familiarity can have a significant negative effect on the observed criterion-related validity, but also show that this effect is highly variable. In particular, the effect depends heavily upon the relation between these factors and the criterion variable. Additionally, we note that the equations we develop highlight important gaps in the literature; there are few clear empirical estimates of several of the parameters in our formulas. We call for future research to better examine these additional relations.
Keywords:
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