APS

2024 APS Annual Convention · 2024

Penalizing Optimal t Does Not Fix Its Type I Error Problem: Results from a Simulation Study on Missingness

San Francisco, CA · May 2024

Poster · Methodology

  • Rick Sperling
    St. Mary's University
  • Fatima Gallardo Ibarra
    St. Mary's University
  • Mia Stahl
    St. Mary's University
  • Humberto Buenrostro
    St. Mary's University
  • Garrette Bradley
    St. Mary's University

Abstract

Previous research has shown that Optimal t has greater statistical power than paired samples t, but also inflated Type I error. Our study demonstrates that imposing a penalty on Optimal t does not decrease the risk of Type I error and leads to losses in statistical power across conditions.

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