A human resources manager in the IT sector was concerned about unconscious bias in recruitment panels. There were two posts and seven candidates, four men and three women. Theoretically, all the candidates have an equal probability of being hired as they all match the selection criteria. However, the manager has data that suggests that it is more likely men will be hired based on data from across the IT sector and within her own company. However, the manager has implemented many equality initiatives within her company and therefore wants to determine the probability that still no women will be hired. What formula could she use to determine this probability and assess the impact of unconscious bias in her company's recruitment?
A) Pearson's r
B) NHST
C) Bayes' theorem.
D) Cronbach's Alpha

Question

Quizplus · Accepted Answer

The best choice for determining the probability of no women being hired in this scenario is Bayes' theorem. This formula takes into account the prior probability (in this case, the likelihood of men being hired based on industry and company data) and the probability of observing certain data (the selection of candidates). By using Bayes' theorem, the HR manager can assess whether unconscious bias is still present in her recruitment process despite the equality initiatives implemented within the company. Pearson's r is a measure of correlation, NHST (Null Hypothesis Significance Testing) is a statistical testing approach, and Cronbach's Alpha is a measure of internal consistency. None of these are relevant for determining the probability of hiring bias.

A Human Resources Manager in the IT Sector Was Concerned