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Dataset . 2017
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Dataset . 2017
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Dataset . 2017
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Transcripts Of 28 Interviews With Researchers Who Fabricated Data For An Experiment

Research datakeyboard_double_arrow_right Dataset 20 Jul 2017Publisher:Zenodo
Authors: Hartgerink, Chris H J; Voelkel, Jan V; Wicherts, Jelte M; Assen, Marcel ALM Van;

doi: 10.5281/zenodo.832491 , 10.5281/zenodo.832490

Transcripts Of 28 Interviews With Researchers Who Fabricated Data For An Experiment

Abstract

For an experiment we recently conducted, we asked researchers to fabricate data for a Stroop experiment. The purpose of this experiment was to test whether we could use statistics to discern the fabricated data from genuine data we collected from Many Labs 3. We also interviewed the researchers about how they fabricated data, in order to learn how researchers actually fabricate data. We share these transcripts here for maximum reuse under a CC 0 license.

This research was funded by the Office of Research Integrity (ORI; hhs.ori.gov), grant number ORIIR160019 awarded to Chris HJ Hartgerink.

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Keywords

scientific misconduct, stroop, data fabrication, transcripts

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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