June 14, 2024International Journal of Selection and Assessment

The need for “Considered Estimation” versus “Conservative Estimation” when ranking or comparing predictors of job performance

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Authors

PBPhilip Bobko PRPhilip L. Roth HLHuy Le

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Overview

Methodological evaluation reveals substantial estimation bias in employee selection procedures, highlighting the need for considered estimation when ranking job performance predictors.

Key Points

Conservative estimation introduces substantial bias when ranking 25 selection procedures, as differential range restriction corrections confound observed validity differences.
Methodological evaluation demonstrates that mixing predictor methods and constructs ignores construct saturation, producing spurious operational validity comparisons.
Calls for considered estimation require uniform range restriction adjustments across all predictors, while incorporating sensitivity analyses and study nonindependence.

Cite This Study

Bobko et al. (2024) studied this question.

synapsesocial.com/papers/68e64b22b6db6435875db751 https://doi.org/10.1111/ijsa.12489

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June 14, 2024International Journal of Selection and Assessment

The need for “Considered Estimation” versus “Conservative Estimation” when ranking or comparing predictors of job performance

View Full Paper

Ask AI

Bookmark

Authors

PBPhilip Bobko PRPhilip L. Roth HLHuy Le

Discussion

Member takes

Overview

Methodological evaluation reveals substantial estimation bias in employee selection procedures, highlighting the need for considered estimation when ranking job performance predictors.

Key Points

Conservative estimation introduces substantial bias when ranking 25 selection procedures, as differential range restriction corrections confound observed validity differences.
Methodological evaluation demonstrates that mixing predictor methods and constructs ignores construct saturation, producing spurious operational validity comparisons.
Calls for considered estimation require uniform range restriction adjustments across all predictors, while incorporating sensitivity analyses and study nonindependence.

Cite This Study

Bobko et al. (2024) studied this question.

synapsesocial.com/papers/68e64b22b6db6435875db751 https://doi.org/10.1111/ijsa.12489

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