How to Evaluate Bias on Selection Tests
Researchers discuss how selection tests are evaluated for bias or unfairness. They explain that a common statistical technique may lead to misleading results for practitioners.
Researchers discuss how selection tests are evaluated for bias or unfairness. They explain that a common statistical technique may lead to misleading results for practitioners.
Researchers discuss best practices for using assessment centers to select or promote employees.
Although measures of personality are fairly common in employee selection and assessment contexts, research suggests that measures of various personality characteristics tend to be less predictive of job performance than other common selection tests (e.g., cognitive ability tests, technical work sample tests). Typically, items on personality measures ask job applicants/employees
Research considers who is more likely to share inappropriate personal information on social media posts. The implications for job seekers and the employee selection process are discussed.
Researchers discuss the pros and cons of using work samples as part of the employee selection process.
Structured job interviews are not only more effective than unstructured interviews, but they also help reduce unfairness or bias during selection.
Researchers investigate emotional intelligence tests used for employee selection. Do these tests tell organizations anything about job applicants beyond measures of personality and intelligence?
Researchers find that organizations stand to gain by quickly offering jobs to qualified applicants.
Researchers investigate the factors that job seekers consider when forming opinions about the organizations where they are applying.
Researchers explore the factors that predict on-the-job success. How can organizations identify job applicants with the right human capital?