Explain predictive,incremental (ΔR2) and concurrent validity
How well does information i got on an interviewee predict them doing well on the job ?
Goal: Reduce uncertainty in hiring decisions
Prerequisite: Understanding what explains variance in the outcomes
Multple correlations can be used to reduce uncertainty (concept of assessment centers: collect many sources of information)
Combine predictor variables to increate the incremental validity ΔR2
Concurrent validity can be built with the same process from internal data of already employeed workers. (often done using assessment centers)
RISK!: Bias leading to hiring the same (potentially bad) workers, that are just the same kind that we already have. (doesnt help with diversification)