Data Colada
@DataColada
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The lawsuit against Data Colada includes interesting evidence. This table summarizes it. For more details check out our post datacolada.org/114
this account will be deactivated now. Follow us on bluesky.
Want to know how many people show an effect in an RCT, policy experiment or between-subjects lab experiment? Consider this off-label use of the Kolmogorov-Smirnov test datacolada.org/120
Hidden Confound in Pre-Registrations Critique datacolada.org/119 Post ends with link to submit suggestions for AsPredicted & OSF
In this blogpost timestamps were used to infer the fake data were coming from inside the lab... datacolada.org/117
Colada[115] shows the prevalence of pre-registrations in papers published in 2022, with lessons on how to improve in 2023+ datacolada.org/115
A thank you & an update from 'three relatively unknown guys' datacolada.org/113
datacolada.org
[113] Data Litigada: Thank You (And An Update) - Data Colada
Thank You A few months ago we reported evidence of data tampering in four papers that have since been retracted (or re-retracted) (Colada[109] .htm). A few weeks ago we were sued for doing so (Vox...
Data Falsificada Part 4 - "Forgetting the Words" Data tampering in this JPSP 2020 article is revealed by a variable that was collected but not analyzed, and thus left behind when the other variables were tampered with datacolada.org/112
datacolada.org
[112] Data Falsificada (Part 4): "Forgetting The Words" - Data Colada
This is the last post in a four-part series detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. It is worth reiterating two things....
Post 3 in the Data Falsificada Series. We manage to identify which observations were tampered with and by how much the dependent variable was modified by hand. datacolada.org/111
datacolada.org
[111] Data Falsificada (Part 3): "The Cheaters Are Out of Order" - Data Colada
This is the third in a four-part series of posts detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. It is worth reiterating that to...
Second post of a four-post series on Data Falsificada. datacolada.org/110 Includes message to 148 Gino Co-Authors
The first of a four-post series on Data Falsificada datacolada.org/109
datacolada.org
[109] Data Falsificada (Part 1): "Clusterfake" - Data Colada
This is the introduction to a four-part series of posts detailing evidence of fraud in four academic papers co-authored by Harvard Business School Professor Francesca Gino. In 2021, we and a team of...
For version control in R, Microsoft used to archive R packages (MRAN). Now Groundhog does it (GRAN). datacolada.org/108 Also: just released Groundhog 3.1.0 fixes some bugs in v3.0.0 (blog post talks about 3.0.0) #rstats
Transparency makes research evaluable datacolada.org/101
datacolada.org
[101] Transparency Makes Research Evaluable: Evaluating a Field Experiment on Crime Published in...
A recently published Nature paper (.htm) examined an interesting psychological hypothesis and applied it to a policy relevant question. The authors ran an ambitious field experiment and posted all...
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