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The problem of measurement bias in comparing selected subgroups
Jorge L Mendoza1, Seunghoo Lee1, Dustin Fife2
1The University of Oklahoma, Norman, Oklahoma, USA.
Summary
Under direct range restriction, subgroup mean estimates are biased due to measurement bias. This study corrects these estimates for accurate subgroup comparisons in selection research.
Area of Science:
- Psychometrics
- Statistical validation
- Subgroup analysis
Background:
- Subgroup difference estimates are crucial for validation and adverse impact evaluation.
- Direct range restriction introduces measurement bias, affecting mean estimates.
- This bias complicates subgroup comparisons, especially with unequal selection ratios or variances.
Purpose of the Study:
- To investigate measurement bias in subgroup mean estimation under direct range restriction.
- To develop corrected estimates for mean differences and Cohen's d*.
- To examine the presence of measurement bias under indirect range restriction.
Main Methods:
- Mathematical derivation of bias under direct range restriction.
- Formulation of corrected estimators for subgroup mean differences.
- Analysis of bias under indirect range restriction.
Main Results:
- Measurement bias is a function of selection ratio, reliability, and variance under direct range restriction.
- A corrected estimate for the mean difference and Cohen's d* is presented.
- Measurement bias is absent under indirect range restriction for selected means estimating selected true scores.
Conclusions:
- Direct range restriction biases subgroup mean estimates, necessitating corrected approaches.
- Corrected estimates improve the validity of subgroup comparisons in selection contexts.
- Indirect range restriction avoids measurement bias in selected mean estimates of true scores.
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