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Under Pressure: LMX Drives Employee Unethical Pro-organizational Behavior via Threat Appraisals
Drawing on the transactional model of stress and leader-member exchange (LMX) theory, we examine the role of performance pressure in …
Chen Tang
,
Ying Chen
,
Wu Wei
,
Daniel A. Newman
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DOI
Reducing subgroup differences in personnel selection through the application of machine learning
Researchers have investigated whether machine learning (ML) may be able to resolve one of the most fundamental concerns in personnel …
Nan Zhang
,
Mo Wang
,
Heng Xu
,
Nick Koenig
,
Louis Hickman
,
Jason Kuruzovich
,
Vincent Ng
,
Kofi Arhin
,
Danielle Wilson
,
Q. Chelsea Song
,
Chen Tang
,
Leo Alexander III
,
Yesuel Kim
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DOI
Adverse Impact Reduction and Job Performance Optimization via Pareto-Optimal Weighting: A Shrinkage Formula and Regularization Technique Using Machine Learning
In personnel selection practice, one useful technique for reducing adverse impact and enhancing diversity is the Pareto-optimal …
Q. Chelsea Song
,
Chen Tang
,
Daniel A. Newman
,
Serena Wee
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DOI
Investigating machine learning's capacity to enhance the prediction of career choices
Vocational interest measurement has long played a significant role in work contexts, particularly in helping individuals make career …
Q. Chelsea Song
,
Hyun Joo Shin
,
Chen Tang
,
Alexis Hanna
,
Tara Behrend
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DOI
Dropping the GRE, keeping the GRE, or GRE-optional admissions? Considering tradeoffs and fairness
In considering whether to retain the GRE in graduate school admissions, admissions committees often pursue two objectives: (a) …
Daniel A. Newman
,
Chen Tang
,
Q. Chelsea Song
,
Serena Wee
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DOI
Making Sense of Model Generalizability: A Tutorial on Cross-Validation in R and Shiny
Model generalizability describes how well the findings from a sample are applicable to other samples in the population. In this …
Q. Chelsea Song
,
Chen Tang
,
Serena Wee
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DOI
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