e-ISSN: Pending
Negative / Null Result ReportOpen accessSocial Sciences· cited by 1,021

Many Labs 2: Investigating Variation in Replicability Across Samples and Settings

Richard Klein; Michelangelo Vianello; Fred Hasselman; Byron G. Adams; Reginald B. Adams; Sinan Alper; Mark Aveyard; Jordan Axt · 2018 · Advances in Methods and Practices in Psychological Science

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was…

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

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 10.1177/2515245918810225