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Data Colada @DataColada
Joined October 2017
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Data Colada@DataColada
19 Sep 2023
The lawsuit against Data Colada includes interesting evidence. This table summarizes it. For more details check out our post datacolada.org/114
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Answering the most popular question in a PhD methods course datacolada.org/133

[133] Heterofriendly: The Intuition for Why You Always Need Robust Standard Errors

When I taught my first PhD-level methods course, I invited students to submit questions about any topic in statistics or methodology. Six out of 10 students asked about the same topic: robust &…

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A more user friendly t-test regression variable description frequency plots, and more. datacolada.org/132

[132] statuser: R in user-friendly mode

t.test(), the R function for running t-tests, is disconcertingly imperfect. A t-test involves computing the difference between two means. And yet, t.test(), does not report… …said diffe…

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this account will be deactivated now. Follow us on bluesky.
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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

[120] Off-Label Smirnov: How Many Subjects Show an Effect in Between-Subjects Experiments?

There is a classic statistical test known as the Kolmogorov-Smirnov (KS) test (Wikipedia). This post is about an off-label use of the KS-test that I don’t think people know about (not even Kolmogor…

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Hidden Confound in Pre-Registrations Critique datacolada.org/119 Post ends with link to submit suggestions for AsPredicted & OSF

[119] A Hidden Confound in a Psych Methods Pre‑registrations Critique

A forthcoming paper in Psych Methods (.pdf) had a set of coders evaluate 300 pre-registrations in terms of how informative they were about several study attributes (e.g., hypotheses, analysis, DVs)…

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In this blogpost timestamps were used to infer the fake data were coming from inside the lab... datacolada.org/117
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How is the Gino trial going? datacolada.org/116

[116] Our (First?) Day In Court

“Any update on the lawsuit?” That is the most common question any of us is asked. It is usually preceded by an apologetic preamble, like, “sorry if this is a sensitive question,” or “I don’t know i…

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Colada[115] shows the prevalence of pre-registrations in papers published in 2022, with lessons on how to improve in 2023 datacolada.org/115
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A thank you & an update from 'three relatively unknown guys' datacolada.org/113

[113] Data Litigada: Thank You (And An Update)

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 …

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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

[112] Data Falsificada (Part 4): “Forgetting The Words”

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. …

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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

[111] Data Falsificada (Part 3): “The Cheaters Are Out of Order”

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…

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Second post of a four-post series on Data Falsificada. datacolada.org/110 Includes message to 148 Gino Co-Authors
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The first of a four-post series on Data Falsificada datacolada.org/109

[109] Data Falsificada (Part 1): “Clusterfake”

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 o…

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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

[108] MRAN is Dead, long live GRAN

Microsoft has been making daily copies of the entire CRAN website of R packages since 2014. This archive, named MRAN, allows installing older versions of packages, which is valuable for reproducibi…

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Meaningless Means #3: Averaging Nuns and Chocolate datacolada.org/107

[107] Meaningless Means #3: The Truth About Lies

This is the third post in a series (.htm) in which we argue/show that meta-analytic means are often meaningless, because they often (1) include invalid tests of the hypothesis of interest to the me…

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[106] Meaningless Means #2: The Average Effect of Nudging in Academic Publications is 8.7%

This post is the second in a series (.htm) in which we argue that meta-analytic means are often meaningless, because these averages (1) include invalid tests of the meta-analytic research question,…

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Meaningless Means #1: The average effect of nudging datacolada.org/105

[105] Meaningless Means #1: The Average Effect of Nudging Is d = .43

This post is the second in a series (see its introduction: htm) arguing that meta-analytic means are often meaningless, because (1) they include results from invalid tests of the research question …

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Our series on meta-analysis & meaningless means datacolada.org/104

[104] Meaningless Means: Some Fundamental Problems With Meta-Analytic Averages

This post is an introduction to a series of posts about meta-analysis ((Meta-analysis can mean many things, but in this series we use it to refer to the ubiquitous practice of *averaging* across ef…

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Mediation analysis is more invalid than you think. datacolada.org/103

[103] Mediation Analysis is Counterintuitively Invalid

Mediation analysis is very common in behavioral science despite suffering from many invalidating shortcomings. While most of the shortcomings are intuitive ((Examples of intuitive shortcomings of m…

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