e-ISSN: Pending
Replication FailureDecision Sciences· cited by 47

The Power of Replicated Measures to Increase Statistical Power

Marc-André Goulet; Denis Cousineau · 2019 · Advances in Methods and Practices in Psychological Science

WASTE classifies this as Replication Failure · AI classification, approximate

A previously reported effect did not replicate here — verify it holds before you build on it.

Abstract (excerpt)

When running statistical tests, researchers can commit a Type II error, that is, fail to reject the null hypothesis when it is false. To diminish the probability of committing a Type II error (β), statistical power must be augmented.…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1177/2515245919849434