What approach uses valid predictors of job success to select applicants?

The statistical approach to hiring is designed to enhance the selection process by utilizing valid predictors of job success. This method systematically evaluates potential candidates based on statistical data and evidence linking certain traits or experiences to successful job performance. By relying on objective measures, the statistical approach minimizes biases and ensures that the selection criteria are based on empirical research rather than subjective judgment. This ultimately leads to better hiring decisions, as it aligns candidate assessments with proven indicators of job effectiveness.

The other approaches differ significantly in methodology. Random selection lacks any basis for differentiating candidates, focusing solely on chance rather than qualifications. The clinical approach relies on the subjective evaluation of interviewers or assessors, which may introduce personal biases and inconsistencies. The intuitive approach depends on gut feelings and personal judgment, which can also lead to erratic and unreliable hiring decisions. In contrast, the statistical approach stands out for its emphasis on data-driven analysis, making it a robust and effective strategy for selecting applicants.