When science needs self-correcting

Strand, Julia

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https://hdl.handle.net/2142/108860 Copy

Description

Title

When science needs self-correcting

Author(s)

Strand, Julia

Issue Date

2020

Keyword(s)

• retraction
• honest retraction
• self-correction in science
• authorship
• open science
• replication
• programming bugs
• psychology research
• self-retraction

Abstract

In 2018, I published a paper that reported the most interesting finding of my career. A year later, while trying to figure out why I couldn’t replicate the effect, I discovered a massive error in the original experiment. The central finding was the result of a software glitch and was completely untrue. I had published a paper with invalid data and false conclusions. I’m sharing this story to help normalize admitting errors. Although this process has been difficult, the consequences were much less dire than I’d feared. Changing culture is hard, but one step toward building better science is publicly revealing our own errors and showing how we fix them.

Type of Resource

text

Language

en

Permalink

• https://psyarxiv.com/2czsf/
• https://elemental.medium.com/when-science-needs-self-correcting-a130eacb4235
• http://hdl.handle.net/2142/108860

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