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Initial investigation into computer scoring of candidate essays for personnel selection.

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References

1963The Structure of Scientific Revolutions35,276 cited
2007Answers to 20 Questions About Interrater Reliability and Interrater Agreement3,595 cited
1994The validity of employment interviews: A comprehensive review and meta-analysis.706 cited
2001Determinants, Detection and Amelioration of Adverse Impact in Personnel Selection Procedures: Issues, Evidence and Lessons Learned428 cited
2008THE DIVERSITY–VALIDITY DILEMMA: STRATEGIES FOR REDUCING RACIOETHNIC AND SEX SUBGROUP DIFFERENCES AND ADVERSE IMPACT IN SELECTION288 cited
2008THE DIVERSITY–VALIDITY DILEMMA: OVERVIEW AND LEGAL CONTEXT111 cited

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2022A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment

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