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R0007/2026-03-20/C001/SRC02/E01

Research R0007 — AI Cognitive Amplifier
Run 2026-03-20
Claim C001
Source SRC02
Evidence SRC02-E01
Type Analytical

Beck et al. critique acknowledges departures from normality while challenging interpretation

URL: https://onlinelibrary.wiley.com/doi/10.1111/peps.12060

Extract

Beck, Beatty, and Sackett (2014) argued that the extreme departures from normality observed by O'Boyle and Aguinis may have been due to characteristics of performance measures used (output-based vs. behavior-based). They identified 7 measurement criteria for valid inferences about performance distribution. When using behavior-based measures, they found performance was more normally distributed. However, they explicitly stated: "To be clear, we do not disagree that the variables studied by O'Boyle and Aguinis (2012) had distributions with vast departures from normality."

Relevance to Hypotheses

Hypothesis Relationship Strength
H1 Contradicts Suggests the finding may be measurement-dependent
H2 Supports Confirms departure from normality while adding nuance about measurement type
H3 Contradicts Even this critique confirms the basic finding for the measures O'Boyle & Aguinis used

Context

This is the most prominent scholarly challenge to the O'Boyle & Aguinis (2012) findings. The debate centers on whether the observed distributions reflect true performance variation or are artifacts of certain measurement approaches. Both sides agree the data show substantial departures from normality.