@MarkRubin@fediscience.org
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MarkRubin

@MarkRubin@fediscience.org

Psychology, metascience, and academic life. Professor at Durham University, UK. He/him.

My research: https://sites.google.com/site/markrubinsocialpsychresearch/

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MarkRubin, to random
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New article from me:

“Inconsistent multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses”

Open access: https://doi.org/10.1016/j.metip.2024.100140

MarkRubin, to random
@MarkRubin@fediscience.org avatar

New article from me:

“Redundant multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses”

Preprint: https://doi.org/10.48550/arXiv.2401.11507

MarkRubin, to random
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Prediction vs Accommodation: Which is Better and When?

In this blog post, I summarise the arguments in Pekka Syrjänen’s (2023) recent Synthese article.

https://markrubin.substack.com/p/prediction-vs-accommodation

MarkRubin, to statistics
@MarkRubin@fediscience.org avatar

In this new preprint, I argue that “Type I error rates are not usually inflated.”

https://doi.org/10.31222/osf.io/3kv2b

MarkRubin, to stsing
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New article from me:

“The replication crisis is less of a ‘crisis’ in the Lakatosian approach than it is in the Popperian and naïve methodological falsificationism approaches”

Substack: https://markrubin.substack.com/p/popper-lakatos-and-the-replication-crisis

Preprint: https://doi.org/10.31222/osf.io/2dz9s







@stsing


@philosophyofscience

MarkRubin,
@MarkRubin@fediscience.org avatar

@psforscher

Thanks Patrick. I'll have a think about this feedback.

MarkRubin, to stsing
@MarkRubin@fediscience.org avatar

How does the science reform movement align with broader changes in the academic landscape? Tom Hostler tackles this question in a new article on “Scientific reform, post-academic research, and academic identity”: https://markrubin.substack.com/p/scientific-reform-post-academic-research
🧵👇








@stsing

MarkRubin,
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Tom contextualizes the science reform movement in relation to Ziman’s (2000) concept of “post-academic research,” which is research done for instrumental reasons (e.g., to solve a local problem) rather than for its own sake.

Post-academic research has been slowly taking over academia, with the push for industry collaboration a key sign (see also https://markrubin.substack.com/p/the-industrialisation-of-science). But how does science reform align with post-academic research?

MarkRubin,
@MarkRubin@fediscience.org avatar

Tom argues that “a focus on methodology and producing transferable, reproducible knowledge is more amenable to a post-academic ethos focused on providing specialist technical solutions to specific local ‘problems.’”

MarkRubin,
@MarkRubin@fediscience.org avatar

In my view, Tom’s analysis also helps to explain why replication failures are more troubling in a post-academic context.

In traditional academic research, replication failures are a feature, not a bug. In contrast, in post-academic research, replication failures threaten the usefulness of potential solutions to local problems, and so there’s a pressure to eliminate them.

MarkRubin,
@MarkRubin@fediscience.org avatar

Anyway, Tom’s article is a fascinating read that relates changes in science to broader changes in academia.

And before you go, here’s another of Tom’s recent contributions you might find interesting: “The Invisible Workload of Open Research”: https://doi.org/10.36850/mr5

MarkRubin, to random
@MarkRubin@fediscience.org avatar

Rachel Vanderbilt provides an excellent TikTok response to a question about the replication crisis: 👏

https://www.tiktok.com/@rachelvanderbiltphd/video/7264008971063708974

MarkRubin, to stsing
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"Discretion in research practice should perhaps not be seen as a weakness or a fault in the scientific method, but rather an integral part of it."

New preprint: https://osf.io/preprints/metaarxiv/7dh3t/








@stsing

MarkRubin,
@MarkRubin@fediscience.org avatar

For a summary and my thoughts on this work, see 👇

https://markrubin.substack.com/p/the-preregistration-prescriptiveness

MarkRubin, to psychology
@MarkRubin@fediscience.org avatar

Q: Why do people remain biased even after psychologists have revealed their potential biases?

A: People have a "bias blind spot": They understand that biases exist but they fail to see them in their own attitudes and behaviour.

https://doi.org/10.1177/09637214231178745


@psychology

@socialpsych

MarkRubin, to psychology
@MarkRubin@fediscience.org avatar

More to lose, less to say!

New study (N = 896) suggests that white-collar workers may remain silent in the face of abusive supervision practices because they’re more concerned about losing their status and privileges relative to blue-collar workers.

https://doi.org/10.1016/j.emj.2023.07.001


@psychology


@socialpsych

@orgbehavior

MarkRubin, to random
@MarkRubin@fediscience.org avatar

🚨 2 0 2 3 🚨

🔺 World's hottest day on record
🔺 Hottest June on record globally
🔺 Extreme marine heatwaves
🔺 Record low Antarctic sea-ice

https://www.bbc.com/news/science-environment-66229065

MarkRubin, to random
@MarkRubin@fediscience.org avatar

New USA survey (N > 2,000) finds female instructors in science and engineering are more likely than their male colleagues to disclose to their students that they have depression, anxiety, or a disability.

https://doi.org/10.1371/journal.pone.0287795

devezer, to random

Is this where we've ended up at regards to evidence evaluation? No preregistration = No evidentiary value

What does this do our reading, understanding, and evaluation of science? Why do we need these shortcuts? This kind of thinking will lead us astray for a long time to come.

MarkRubin,
@MarkRubin@fediscience.org avatar

@richarddmorey @dlakelan @devezer @MarkHanson Looks like a really interesting talk! I agree with the main point: "There are no statistical inferences, only scientific ones." You always need theory to make an educated guess at your reference class and a subsequent inference. And yes, the assumption that stats gives you a pipeline to the Truth independent of theory is likely a major contributor to the replication crisis! 👏

MarkRubin, to stsing
@MarkRubin@fediscience.org avatar

Metascience News:

@tomstafford provides a round up of the latest metascience news, workshops, conferences, talks, and listservs!

https://open.substack.com/pub/tomstafford/p/anyone-for-metascience







@stsing

MarkRubin, to random
@MarkRubin@fediscience.org avatar

Scrolling, scrolling scrolling….

Our new research finds passive social media use is associated with poorer mental health, especially among younger people.

Open access: https://doi.org/10.3389/fpsyg.2023.1181233

MarkRubin, to science
@MarkRubin@fediscience.org avatar

New social psychology research finds conservatives’ beliefs that immigrants aren’t supporting the American system enough explains their bias against immigrants and supports a new “Perceived System Justification Deficit Model of Prejudice”.

Open access: https://doi.org/10.1038/s41598-023-38347-8



@psychology


@socialpsych


@politicalscience

MarkRubin, to academia
@MarkRubin@fediscience.org avatar

“Reviewers for a paper should be restricted in the number of citations that they can suggest from their own work (we suggest a 3 citation maximum, but a zero tolerance policy could also be justified).”

https://doi.org/10.1016/j.jbusres.2023.114129


@academicchatter

MarkRubin,
@MarkRubin@fediscience.org avatar

@marcobie @academicchatter Yes, totally agree. References in reviews are generally a good thing!

MarkRubin, to science
@MarkRubin@fediscience.org avatar

“Turning all the knobs!”

In Part 2 of a two-part series of articles, Michael Höfler and colleagues consider “how to explore data to modify existing claims and create new ones”

https://doi.org/10.15626/MP.2022.3270



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