TAPAS - Tailored Adaptive Personality Assessment System Performance Prediction Models 8 — Questions and Answers
Question 1: What does 'incremental validity' measure when evaluating TAPAS as a predictor of job performance?
- The total variance in job performance explained by TAPAS alone
- The additional variance in job performance that TAPAS explains beyond what existing predictors already account for (Correct answer)
- The increase in test-retest reliability of TAPAS scores over time
- The degree to which TAPAS scores improve after repeated administrations
Correct answer: The additional variance in job performance that TAPAS explains beyond what existing predictors already account for
Incremental validity refers to the additional predictive power a new measure contributes over and above existing predictors. For TAPAS, this means demonstrating that personality dimensions improve performance prediction beyond cognitive ability tests or other pre-existing selection tools.
Question 2: Why is cross-validation a critical step when developing TAPAS-based performance prediction models?
- It confirms that TAPAS items are free from cultural bias
- It verifies that the prediction equation derived from a development sample holds up in an independent sample (Correct answer)
- It ensures that each TAPAS dimension correlates equally with every performance criterion
- It establishes that TAPAS scores are normally distributed across all military occupational specialties
Correct answer: It verifies that the prediction equation derived from a development sample holds up in an independent sample
Cross-validation tests whether a regression equation built on one sample generalizes to a new, independent sample. Without it, a model may appear highly predictive due to capitalization on chance (overfitting), and the true predictive accuracy — after accounting for shrinkage — would be overstated.
Question 3: In TAPAS performance prediction research, what is 'criterion contamination'?
- The intentional removal of low-performing soldiers from the criterion dataset
- The situation where criterion ratings are influenced by the rater's prior knowledge of a soldier's TAPAS scores (Correct answer)
- The use of multiple criterion measures that are too highly intercorrelated to be informative
- The statistical adjustment applied to correct criterion scores for supervisor leniency bias
Correct answer: The situation where criterion ratings are influenced by the rater's prior knowledge of a soldier's TAPAS scores
Criterion contamination occurs when information about a predictor (e.g., TAPAS scores) influences the criterion measure (e.g., supervisor ratings), artificially inflating the observed predictor-criterion correlation. This compromises the validity evidence for TAPAS as a predictor.
Question 4: What is the practical implication of 'validity generalization' findings for TAPAS performance prediction models?
- TAPAS must be re-validated separately for every individual Army job because situational factors render each validity coefficient unique
- Validity coefficients for TAPAS dimensions are likely to generalize across similar job families, reducing the need for job-specific validation studies (Correct answer)
- TAPAS personality scores automatically transfer to civilian occupations without further validation
- Validity generalization eliminates the need to correct validity coefficients for statistical artifacts
Correct answer: Validity coefficients for TAPAS dimensions are likely to generalize across similar job families, reducing the need for job-specific validation studies
Validity generalization research (e.g., Schmidt & Hunter) demonstrates that much of the variability in validity coefficients across studies is due to statistical artifacts (sampling error, range restriction, criterion unreliability) rather than true situational specificity. This supports using TAPAS across similar jobs without full local validation each time.
Question 5: How does 'range restriction' in a military applicant pool affect observed TAPAS validity coefficients?
- It inflates validity coefficients because only high performers are tested
- It deflates validity coefficients because the restricted variance in TAPAS scores among selected soldiers reduces the observable correlation with performance (Correct answer)
- It has no effect on validity coefficients when the instrument uses an adaptive format
- It increases validity coefficients because adaptive testing eliminates floor and ceiling effects
Correct answer: It deflates validity coefficients because the restricted variance in TAPAS scores among selected soldiers reduces the observable correlation with performance
When only applicants who pass an initial screening are included in a validation sample, the range of predictor scores is narrowed. This restriction of variance attenuates the observed correlation between TAPAS scores and performance, causing the true predictive validity to be underestimated unless a statistical correction is applied.
Question 6: What is 'differential prediction' and why is it investigated in TAPAS performance prediction models?
- The use of different TAPAS scoring algorithms for officers versus enlisted personnel to maximize individual score precision
- The investigation of whether TAPAS-based prediction equations produce systematically biased estimates of performance for demographic subgroups (Correct answer)
- The process of weighting TAPAS dimension scores differently depending on the occupational specialty being predicted
- The removal of TAPAS items that show differential item functioning before scoring begins
Correct answer: The investigation of whether TAPAS-based prediction equations produce systematically biased estimates of performance for demographic subgroups
Differential prediction (test bias) analysis examines whether the same regression equation over- or under-predicts actual performance for subgroups defined by race, sex, or other characteristics. Finding no differential prediction supports the fairness of using a single TAPAS-based equation across groups; finding bias requires separate equations or other remediation.
TAPAS - Tailored Adaptive Personality Assessment System Performance Prediction Models 8
What does 'incremental validity' measure when evaluating TAPAS as a predictor of job performance?