What does predictive validity measure in performance appraisal?

What does predictive validity measure in performance appraisal?

• A. The extent to which appraisal ratings predict future job performance outcomes.
• B. Consistency of ratings across different raters.
• C. The speed of the review cycle.
• D. The fairness of the appraisal process.

Answer: (A)

Predictive validity in performance appraisal asks whether the ratings given now will forecast how well someone will perform in the future. In practice, you’d compare current appraisal scores with later performance outcomes—such as objective metrics, supervisor evaluations, or key job measures—and look at the strength of the relationship. A strong link means the appraisal is useful for predicting future success, guiding development, promotions, or succession planning. This focus on future outcomes distinguishes predictive validity from other qualities. Reliability is about how consistent ratings are across raters or over time, not about predicting what comes next. The speed of the review cycle is about efficiency, not the accuracy of forecasts. Fairness concerns bias and equity in the process, which matters for ethics and legitimacy but doesn’t itself measure whether ratings predict future performance. So, the best choice captures the ability of current ratings to forecast future job performance, which is the essence of predictive validity.

Predictive validity in performance appraisal asks whether the ratings given now will forecast how well someone will perform in the future. In practice, you’d compare current appraisal scores with later performance outcomes—such as objective metrics, supervisor evaluations, or key job measures—and look at the strength of the relationship. A strong link means the appraisal is useful for predicting future success, guiding development, promotions, or succession planning.

This focus on future outcomes distinguishes predictive validity from other qualities. Reliability is about how consistent ratings are across raters or over time, not about predicting what comes next. The speed of the review cycle is about efficiency, not the accuracy of forecasts. Fairness concerns bias and equity in the process, which matters for ethics and legitimacy but doesn’t itself measure whether ratings predict future performance.

So, the best choice captures the ability of current ratings to forecast future job performance, which is the essence of predictive validity.