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Category: Statistics

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
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

Are studies that replicate cited more?

October 12, 2018 Ruben Arslan

I looked at citations as an indicator of research quality by dusting off two analyses that I did quickly a…

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Posted in: Crosspost, R, Replications, Statistics Filed under: r, reproducibility

The uncanny mountain: p-values between .01 and .10 are still a problem

February 15, 2018 Julia Rohrer 8 Comments

[Update: After this post had been published, Uli Schimmack and I had a quick chat and Uli was very surprised…

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Posted in: Statistics

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