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Quentin André
@andre_quentin
Assistant Prof. of Marketing @ CU Boulder. Open science, research methods, managerial and numerical cognition. ❤️Python 🐍.
Boulder, CO
Joined May 2014
Posts
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    Woke up to the good news that our paper (w/ @nreinholtz) on group sequential designs is accepted at @JCRNEWS ! Want to learn more about designing more efficient and more informative studies? This blog post summarizes the key insights from our paper: quentinandre.net/post/more-effi…
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    Hate to be *this* guy, but the p-values associated with these outcomes are p = .044, p = .011, p = .008, p = .076, p = .067, p = .094, p = .058, p = .039, p = .064, p = .05, p = .067, p = .014. These results are interesting, but need replicating.
    New paper from Norway: Banning smartphones in school - significantly decreased doctors visits for psychological symptoms and diseases among girls - reduced bullying among both genders - improved girls’ GPA and attendance rates - largest effect sizes were among the poorest kids
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    Hot take: Open science is not easy. Writing codebooks, documenting code, describing experimental procedures, maintaining a repository takes time and effort. If we want open-science to become mainstream, this investment must be encouraged (rewarded) by institutions and journals.
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    Happy and excited to see this article appear online! I hope it will help correct common misconceptions in how outliers should be removed, and ultimately lead to lower false-positive rates in the literature. doi.org/10.1037/xge000…
    A picture of the abstract of the paper "Outlier Exclusion Procedures Must Be Blind to the Researcher's Hypothesis"
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    Yeah, why would people commit unethical acts that 1) give you a disproportionately large advantage, are 2) hard to detect and 3) even harder to punish, and 4) that even if caught and punishef, will almost certainly not lead you go to jail or pay fines? It's a mystery.
    I have such a hard time understanding why people commit scientific fraud. I mean, if you want to commit white collar fraud why would you spend 6 years in grad school, another 2 years as a postdoc, and then go on the tenure track all in the faint hope that your fraud can get a
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    Uri, Joe and Leif have done the field an immense service by calling out fraud in Gino's work. Now they need our help to fight this outrageous lawsuit. I have chipped in $1,000: Match me if you can. Otherwise every dollar helps!
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    Funnel plots are a useful (depressing?) tool to assess the number of fraudulent/confounded studies in a literature. Preregistered studies of money priming suggest an effect size indistinguishable from zero (doi.org/10.1037/xge000…). How did many studies find g > 1, p < .001?
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    Fraud isn't just "people getting publications they don't deserve". It's inflicting invisible, but very real, damage on all the researchers who try to replicate and extent fake papers.
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    New blog post: Can the p-values in a paper all be close to .05 because the researchers have conducted a careful power analysis, and have collected "just enough" participants to get significant results? Not really! Here's why: quentinandre.net/post/large-pva…
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    New blog post on effect sizes: What they are, what we can learn from them, and how we can use them to judge the trustworthiness of research findings! 1/N quentinandre.net/post/a-critica…
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    Our community needs to show unwavering support to Uri, Joe and Leif. Read the blog posts again: There was absolutely nothing personal or defamatory in there. If scientists can be sued for *documenting factual evidence of fraud in datasets*, all is lost for scientific criticism.
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    Some unsolicited advice after attempting to reproduce the results of 25 marketing papers from their OSF: 1. Rename your variables in Qualtrics! There's absolutely no reason why the variables in your dataset should be named Q.1 through Q.93. It is confusing and error prone.
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    You also know what didn't happen? Joe Simmons didn't fake his data, and he didn't sue the guy who debunked his paper. But, you know, minor differences.
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