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Non-representative samples! What could possibly go wrong?

March 7, 2023 Julia Rohrer Leave a comment

Earlier this year I saw that a study was making the rounds on Twitter under the catchphrase “Representative samples may…

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Posted in: Statistics

Causal Inference | Hypothesis Testing | All at Once

November 18, 2022 Julia Rohrer 1 Comment

Content warning: half-assed philosophy of science Part I: Causal Inference I am not very keen to join the stats wars,…

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Posted in: Statistics
Figure with text in boxes, Step 1: Estimate Model, Step 2: Marginal Effects!, Step 3: Profit

✨ Unleash your inner stats sparkle ✨ with this very non-technical introduction to marginal effects

May 27, 2022 Julia Rohrer

Let’s admit right away that “marginal effects” doesn’t sound like the most sexy topic. I’m not saying that to further…

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Posted in: Statistics

The Credibility Crisis Iceberg Explained | How Deep Does It Go?

April 1, 2022 Julia Rohrer 2 Comments

After a decade of “replication crisis”, “reproducibility”, and “open science”, it’s time for a deep dive into the rabbit hole.…

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Posted in: Uncategorized
Doge ("structured abstracts") chasing away Godzilla ("accoutns for") and Kong ("predicts above and beyond") meme

Who would win, 100 duck-sized strategic ambiguities vs. 1 horse-sized structured abstract?

December 8, 2021 Julia Rohrer

It is the curse of transparency that the more you disclose about your research process, the more there is to…

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Posted in: Uncategorized

Against public engagement

July 8, 2021 Anne Scheel

Estimated reading time: 8-10 minutes To get the boring stuff out of the way: Of course I’m not against scientists…

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Posted in: Uncategorized
Multiverse Brain Meme

Mülltiverse Analysis

March 7, 2021 Julia Rohrer 1 Comment

Psychologists like their analyses like I like my coffee: robusta. Results shouldn’t change too much, no matter which exclusion criteria…

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Posted in: Statistics, Teaching Filed under: multiverse analysis, robustness checks

On the origin of psychological research practices, with special regard to self-reported nostril width

July 31, 2020 Julia Rohrer 5 Comments

The longer I have been in psychological research, the more I wonder about why we do things the way we…

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Posted in: Statistics, Teaching

The first rule of appealing editors’ publication decisions: nobody talks about appealing editors’ publication decisions

July 3, 2020 Leonid Tiokhin 1 Comment

To round off an eventful week at The 100% CI — after a series of posts on a Red-Team Challenge…

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Posted in: Uncategorized
Negative criticism

The Red Team Challenge (Part 3): Is it Feasible in Practice?

July 1, 2020 Daniël Lakens and Leonid Tiokhin 1 Comment

Also read Part 1 and Part 2 in this series on our Red Team Challenge. Six weeks ago, we launched…

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Posted in: Crosspost, Error culture Filed under: bug bounty, mistakes, peer review, red team

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  • Non-representative samples! What could possibly go wrong?
  • Causal Inference | Hypothesis Testing | All at Once
  • ✨ Unleash your inner stats sparkle ✨ with this very non-technical introduction to marginal effects
  • The Credibility Crisis Iceberg Explained | How Deep Does It Go?
  • Who would win, 100 duck-sized strategic ambiguities vs. 1 horse-sized structured abstract?

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  • Eikobot on Causal Inference | Hypothesis Testing | All at Once
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