Publications by authors named "Louis Hickman"

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When are item nuances useful for prediction in organizations? Comparing the validity of item-level, scale-level, and ensemble machine learning models.
Chen Tang, Louis Hickman, Q Chelsea Song, Leo Alexander

J Appl Psychol· December 2025

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Addressing the diversity-validity dilemma in personnel selection: Unraveling the impact of multipenalty optimized regression in varied testing scenarios.
Andrew B Speer, Louis Hickman, Q Chelsea Song, James Perrotta, Rick R Jacobs

J Appl Psychol· October 2025

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Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.
Louis Hickman, Christopher Huynh, Jessica Gass, Brandon Booth, Jason Kuruzovich

J Appl Psychol· July 2025

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Automated speech recognition bias in personnel selection: The case of automatically scored job interviews.
Louis Hickman, Markus Langer, Rachel M Saef, Louis Tay

J Appl Psychol· June 2025

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Are automated video interviews smart enough? Behavioral modes, reliability, validity, and bias of machine learning cognitive ability assessments.
Louis Hickman, Louis Tay, Sang Eun Woo

J Appl Psychol· March 2025

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Using artificial intelligence to assess personal qualities in college admissions.
Benjamin Lira, Margo Gardner, Abigail Quirk, Cathlyn Stone, Arjun Rao, Louis Hickman

Sci Adv· October 2023

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Automated video interview personality assessments: Reliability, validity, and generalizability investigations.
Louis Hickman, Nigel Bosch, Vincent Ng, Rachel Saef, Louis Tay

J Appl Psychol· August 2022

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A Social Media Study on Demographic Differences in Perceived Job Satisfaction.
Koustuv Saha, Asra Yousuf, Louis Hickman, Pranshu Gupta, Louis Tay

Proc ACM Hum Comput Interact· April 2021

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