p-Curve analysis of the Taylor Aggression Paradigm: Estimating evidentiary value and statistical power across 50 years of research

Aggress Behav. 2021 Mar;47(2):183-193. doi: 10.1002/ab.21937. Epub 2020 Nov 18.

Abstract

The overall reliability or evidentiary value of any body of literature is established in part by ruling out publication bias for any observed effects. Questionable research practices have potentially undermined the evidentiary value of commonly used research paradigms in psychological science. Subsequently, the evidentiary value of these common methodologies remains uncertain. To quantify the severity of these issues in the literature, we selected the Taylor Aggression Paradigm (TAP) as a case study and submitted 170 hypothesis tests spanning over 50 years of research to a preregistered p-curve analysis. The TAP literature (N = 24,685) demonstrated significant evidentiary value but yielded a small average effect size (d = 0.29) and inadequate power (38%). The main effects demonstrated greater evidentiary value, power, and effect sizes than interactions. Studies that tested the effects of measured traits did not differ in evidentiary value or power to those that tested the effects of experimentally manipulated states. Exploratory analyses revealed that evidentiary value, statistical power, and effect sizes have improved over time. We provide recommendations for researchers who seek to maximize the evidentiary value of their psychological measures.

Keywords: Taylor Aggression Paradigm; aggressive behavior; evidentiary value; meta-analysis; p-curve.

MeSH terms

  • Aggression*
  • Humans
  • Reproducibility of Results