TAPAS - Tailored Adaptive Personality Assessment System Performance Prediction Models 7

Question 1

Which statistical technique is used to evaluate whether a TAPAS prediction model will generalize to new samples, by applying model weights derived from one sample to a holdout sample?

Accepted Answer

Cross-validation

Answer

Cross-validation tests whether regression weights derived from one sample produce comparable validity coefficients when applied to an independent holdout sample, guarding against capitalizing on chance correlations in the derivation sample.

Question 2

In TAPAS performance prediction research, what does 'incremental validity' specifically measure?

Accepted Answer

The additional predictive variance that TAPAS contributes beyond what cognitive ability tests already explain

Answer

Incremental validity quantifies how much additional criterion variance TAPAS personality scores explain above and beyond existing predictors such as cognitive ability tests, justifying the cost of adding the assessment to a selection battery.

Question 3

What does 'range restriction' do to observed validity coefficients in TAPAS prediction model evaluations conducted on incumbents rather than applicants?

Accepted Answer

It attenuates observed validity coefficients, causing the model to appear less predictive than it truly is

Answer

When incumbents—who have already been screened—are used to validate a model, the restricted variance on the predictor attenuates the observed correlation, making the true population validity appear smaller than it actually is; correction formulas are applied to estimate unrestricted coefficients.

Question 4

In the context of TAPAS performance prediction, what is 'synthetic validity'?

Accepted Answer

A procedure for estimating job-specific validity by linking job analysis elements to dimension-level validities established across many jobs

Answer

Synthetic validity builds job-specific prediction models by decomposing a job into its performance-relevant elements via job analysis and then drawing on validity evidence for each TAPAS dimension accumulated across many occupations, enabling prediction even when local sample sizes are too small for traditional criterion-related studies.

Question 5

When TAPAS prediction models are evaluated separately for demographic subgroups and yield different regression slopes across groups, this is referred to as:

Accepted Answer

Differential prediction

Answer

Differential prediction (also called slope or intercept bias) occurs when the regression line relating TAPAS scores to job performance differs significantly across subgroups, indicating that a single prediction equation may systematically over- or under-predict performance for one group relative to another.

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 7