Principia
Handbook of Organization Measurement

Selection Predictor

construct.selection_predictor

The taxonomy root for selection/assessment predictors: the families used to predict the criterion (Overall Job Performance, VAR_000654). Distinguishes CONTENT predictors (GMA, work sample, job knowledge, personality, integrity — assessing a KSAO) from METHODS (structured interview, SJT, biodata — measurement vehicles spanning KSAOs). Validity is generalized but job-complexity-moderated (Schmidt & Hunter 1998; Sackett et al. 2022) — the moderation is PRN-140.

§3The math on what we know

Synthesized priors from the live registry: pooled r, studies (k), total N, top study grade, and heterogeneity. Rows flagged for heterogeneity or single-study evidence are directional, not settled — read them as a central tendency.

Composed live from the Principia registry. Effect sizes are synthesized priors (random-effects meta-analysis); grades are the top study-quality grade in each pool; I² is pooled heterogeneity. Source-instrument item wording is withheld pending copyright clearance (PRN-207); the Principia rendering is owned and shown in full.
Selection Predictor — Handbook of Organization Measurement · Principia