10.0 Learning Objectives

Learning Objectives

  • Discuss the importance of effective decision-making and how to make informed hiring choices.
  • Recognize implicit biases and common assessment errors in hiring and learn strategies to reduce their influence.
  • Differentiate between objective and subjective data in recruitment and explore methods to combine these data types effectively.
  • Apply compensatory, multiple cutoff, and multiple hurdle models to improve the fairness and accuracy of the selection process.
  • Establish appropriate cut-off scores based on job performance requirements and external factors.
  • Identify and implement methods to reduce Type I and Type II errors in hiring, ensuring better candidate selection outcomes.
  • List the advantages and challenges of group decision-making in recruitment and develop strategies to enhance collaborative hiring.

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Recruitment and Selection Copyright © 2024 by Melanie Hapke is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

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