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Author: Julia Rohrer

Sometimes a causal effect is just a causal effect (regardless of how it’s mediated or moderated)

June 26, 2024 Julia Rohrer 1 Comment

TL;DR: Tell your students about the potential outcomes framework. It will have (heterogeneous) causal effects on their understanding of causality…

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Posted in: Causal inference, Statistics, Teaching

Is [insert statistical approach] good or bad? Let’s settle the debate, once and for all

April 13, 2024 Julia Rohrer Leave a comment

I don’t like getting into fights and sometimes I am concerned this keeps me from becoming a proper methods/stats person.…

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Posted in: Uncategorized

A casual but causal take on measurement invariance

January 10, 2024 Julia Rohrer Leave a comment

Update: There is now a somewhat less casual causal take on measurement invariance by Borysław Paulewicz and me published as…

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Posted in: Statistics
Mr Brightside: It started out with a BIS, how did it end up like this?

Disentangling the Dark and Bright Side of Constructs with a Bright and Dark Side

June 13, 2023 Julia Rohrer 3 Comments

This blog post resulted from a draft that was supposed to become a proper article at some point. Michael Dufner…

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Posted in: 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 2 Comments

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 1 Comment

Update August 2025: There’s now a manuscript by Vincent Arel-Bundock and me providing a more thorough introduction to marginaleffects, Models…

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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 Leave a comment

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
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

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