Insufficient Effort Responding to Psychological Assessments: Practical Advice for Combatting a Serious Threat to Data Quality
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Insufficient effort responding (IER) on psychological assessments is a well-studied topic with far-reaching implications that stretch across many organizational domains (Huang et al., 2012; Maniaci & Rogge, 2014; Meade & Craig, 2012).1 IER, unfortunately, threatens data quality in assessments of psychological and organizational topics. Researchers have, for instance, detected IER in various assessments, including low-stakes employee surveys (e.g., Bowling et al., 2016, Study 1), job analysis questionnaires (e.g., Morgeson et al., 2016), personality assessments (e.g., Huang et al., 2024), and ability tests (Ramsey & Bowling, 2024). In the current white paper, we review the IER literature and provide practical advice that organizational practitioners and researchers can use to mitigate the effects of IER in their data.
Insufficient effort responding (IER) on psychological assessments is a well-studied topic with far-reaching implications that stretch across many organizational domains (Huang et al., 2012; Maniaci & Rogge, 2014; Meade & Craig, 2012).1 IER, unfortunately, threatens data quality in assessments of psychological and organizational topics. Researchers have, for instance, detected IER in various assessments, including low-stakes employee surveys (e.g., Bowling et al., 2016, Study 1), job analysis questionnaires (e.g., Morgeson et al., 2016), personality assessments (e.g., Huang et al., 2024), and ability tests (Ramsey & Bowling, 2024). In the current white paper, we review the IER literature and provide practical advice that organizational practitioners and researchers can use to mitigate the effects of IER in their data.