Data Colada @DataColada
This account does not retweet. Actually it is not even monitored. datacolada.org Joined October 2017-
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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
A thank you & an update from 'three relatively unknown guys' datacolada.org/113
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
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
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
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
Meaningless Means #3: Averaging Nuns and Chocolate datacolada.org/107
Meaningless Means #1: The average effect of nudging datacolada.org/105
Our series on meta-analysis & meaningless means datacolada.org/104
Mediation analysis is more invalid than you think. datacolada.org/103
Transparency makes research evaluable datacolada.org/101
Colada 99: When conclusions from an influential economics methods paper depend on an unfortunate STATA default datacolada.org/99
The Data Colada seminar returns on Oct 1st. datacolada.org/seminar
Colada98 - Evidence of Fraud in an Influential Field Experiment About Dishonesty datacolada.org/98
R is not a good tool for reproducible research. Until now. Announcing {groundhog} datacolada.org/95 #rstats
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@DataColada re your last post about Interaction controls, check out Yzerbyt, Muller & Judd (2004, JESP) and Muller, Yzerbyt, & Judd (2008, ORM). So indeed, authors were not and are probably not aware of the problem. But also, Interactions are not always what you need to control
Interesting paper and nice application of the two lines approach @uri_sohn.
Our new paper doi.org/10.1016/j.neur… reports in vivo age-related differences in the locus coeruleus (LC) using 605 MRI scans from healthy adults, 18-88yrs (CamCAN)@d_haemmerer @ProfRobHoward @MTJBetts @rogierK @rikhens @DuzelLab @UCLPsychiatry @UCL_ICN Julio,Clare,Arturo,Alex 1/
@DataColada this looks like fail-safe N? "if we know how many [missing reviews/unsignificant results] are there, then we can correct for publication bias" In this case it is about effect size rather than pvalue but the concept is very similar no?
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