TAPAS - Tailored Adaptive Personality Assessment System Performance Prediction Models 5

Question 1

What does 'incremental validity' mean when evaluating a TAPAS-based performance prediction model?

Accepted Answer

The degree to which TAPAS scores improve prediction accuracy beyond what existing predictors already provide

Answer

Incremental validity refers to the additional predictive power a new predictor contributes over and above predictors already in use. For TAPAS, this means demonstrating that personality dimensions explain variance in job performance that cognitive ability tests or structured interviews do not already capture.

Question 2

Why is cross-validation an essential step after developing a TAPAS performance prediction equation?

Accepted Answer

It tests whether the prediction equation generalizes to a new sample or shrinks in accuracy

Answer

A regression-derived prediction equation is optimized on the derivation sample, which inflates apparent validity. Cross-validation applies the equation to a hold-out or new sample to detect 'shrinkage'—the realistic drop in predictive accuracy—ensuring the model generalizes beyond the original data.

Question 3

How does 'range restriction' in applicant samples typically affect observed validity coefficients in TAPAS prediction studies?

Accepted Answer

It attenuates observed validity coefficients by reducing score variance in the selected group

Answer

When only hired applicants are included in a validation study, the range of TAPAS scores and job-performance scores is narrower than in the full applicant pool. This restriction of range lowers observed correlations, causing the model to appear less predictive than it truly is. Correction formulas can estimate the unrestricted validity.

Question 4

What is 'criterion contamination' and how does it threaten the integrity of a TAPAS performance prediction model?

Accepted Answer

It occurs when supervisors rating performance are aware of employees' TAPAS scores, biasing their ratings toward confirming those scores

Answer

Criterion contamination happens when knowledge of predictor scores influences the criterion measurement. If a rater knows an employee scored high on conscientiousness-related TAPAS dimensions, they may unconsciously rate that employee's performance higher, artificially inflating the predictor-criterion correlation and overstating the model's true validity.

Question 5

What is 'synthetic validity' and why is it useful for applying TAPAS performance prediction models to small organizations?

Accepted Answer

A strategy that infers job-level validity by linking TAPAS dimensions to job elements rather than requiring large within-job samples

Answer

Synthetic validity builds a prediction model by first conducting a job analysis to identify key performance elements, then linking each element to TAPAS dimensions with known validity for that element. This allows small organizations with insufficient sample sizes for direct validation to construct defensible prediction composites without needing large within-job criterion datasets.

TAPAS - Tailored Adaptive Personality Assessment System Practice Test

TAPAS - Tailored Adaptive Personality Assessment System Practice Test

TAPAS - Tailored Adaptive Personality Assessment System Performance Prediction Models 5