Which data-driven approach is often cited as the best predictor of job turnover?

Which data-driven approach is often cited as the best predictor of job turnover?

• A. Biodata
• B. General Mental Ability
• C. Structured Interview Validity
• D. Paired Comparison

Answer: (A)

The main idea is how we use empirical data to predict turnover, with biodata as a highly data-driven predictor. Biodata relies on patterns from a person’s past experiences and behaviors—such as prior job tenure, reasons for leaving, frequency of job changes, and other life/work events—that tend to be linked to decisions to stay with or leave an organization. When these patterns are carefully collected and statistically validated against turnover outcomes, biodata often shows strong predictive validity, and it can add predictive value beyond other measures. It also tends to be less susceptible to strategic answering than interviews and can capture long-term tendencies related to job fit and commitment. General mental ability is a robust predictor of job performance, especially in complex tasks, but its direct link to turnover is weaker because staying or leaving is influenced a lot by motivational and fit factors that biodata more directly taps into. Structured interview validity does well for predicting performance and some aspects of behavior, but turnover hinges more on fit and satisfaction over time, which biodata more directly reflects. Paired comparison is a method used for ranking or prioritizing candidates, not a data-driven predictor of whether someone will leave.

The main idea is how we use empirical data to predict turnover, with biodata as a highly data-driven predictor. Biodata relies on patterns from a person’s past experiences and behaviors—such as prior job tenure, reasons for leaving, frequency of job changes, and other life/work events—that tend to be linked to decisions to stay with or leave an organization. When these patterns are carefully collected and statistically validated against turnover outcomes, biodata often shows strong predictive validity, and it can add predictive value beyond other measures. It also tends to be less susceptible to strategic answering than interviews and can capture long-term tendencies related to job fit and commitment.

General mental ability is a robust predictor of job performance, especially in complex tasks, but its direct link to turnover is weaker because staying or leaving is influenced a lot by motivational and fit factors that biodata more directly taps into. Structured interview validity does well for predicting performance and some aspects of behavior, but turnover hinges more on fit and satisfaction over time, which biodata more directly reflects. Paired comparison is a method used for ranking or prioritizing candidates, not a data-driven predictor of whether someone will leave.