Constantin Späth's Avatar

Constantin Späth

@cspaeth.bsky.social

Sport and Exercise Psychology, University of Potsdam, Germany

23 Followers  |  36 Following  |  34 Posts  |  Joined: 21.01.2025  |  2.4662

Latest posts by cspaeth.bsky.social on Bluesky

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New 'Preliminary Report' submission format at Science and Medicine in Football. An idea that should be interesting for other journals! Explicitly make space for honestly reported smaller sample-size studies www.tandfonline.com/doi/full/10....

06.11.2025 14:40 — 👍 10    🔁 4    💬 0    📌 0

It seems, I was not up-to-date. Discipline specific examples have already been discussed, or should I say "will be discussed" ;)

Your output is insane! @crist14n.bsky.social

sportrxiv.org/index.php/se...

bsky.app/profile/cspa...

06.11.2025 13:13 — 👍 1    🔁 1    💬 0    📌 0
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Check Research Outputs for Best Practices A modular, extendable system for automatically checking research outputs for best practices using text search, R code, and/or (optional) LLM queries.

The package formerly known as papercheck has changed its name to metacheck! We're checking more than just papers, with functions to assess OSF projects, github repos, and AsPredicted pre-registrations, with more being developed all the time.

scienceverse.github.io/metacheck/

03.11.2025 16:20 — 👍 72    🔁 32    💬 0    📌 0
What is your hypothesis? : On the importance of knowing your hypothesis before conducting a hypothesis test | SportRxiv

Just discovered this great preprint by
@crist14n.bsky.social @lakens.bsky.social

sportrxiv.org/index.php/se...

I wish someone had given me tutorials/easy-to-understand explanations like these when I was doing my bachelor's degree!

02.11.2025 09:34 — 👍 7    🔁 2    💬 0    📌 0

Relatedly, I think SESOI is a tremendously useful and under-appreciated concept. It's become a regular tool in my power analysis workflows, and I wish I understood it sooner in my career.

31.10.2025 15:42 — 👍 14    🔁 2    💬 2    📌 0

These are exactly the right discussions to have IMO, especially when they help us better understand what knowledge we need (and might still be missing) for setting up meaningful, informative tests.

31.10.2025 10:28 — 👍 3    🔁 1    💬 1    📌 0

I think the thing that most people struggle with though is how to set that SESOI... @cspaeth.bsky.social and I been chatting about it in this thread (and I give examples of how we've gone about it... though our recent theory prediction + practical SESOI is best I think) bsky.app/profile/cspa...

31.10.2025 10:16 — 👍 9    🔁 1    💬 1    📌 0

Yes, in my specific example, we are investigating the "minimal perceived change" using a "global rating of change" as an anchor. So basically a similar approach.

But thank you also for the other recommendations!!! I will have a look!

31.10.2025 12:21 — 👍 1    🔁 0    💬 0    📌 0

There still seems to be a lot of confusion about significance testing in psych. No, p-values *don’t* become useless at large N. This flawed point also used to be framed as "too much power". But power isn't the problem – it's 1) unbalanced error rates and 2) the (lack of a) SESOI. 1/ >

31.10.2025 08:13 — 👍 111    🔁 42    💬 2    📌 9

So (beyond this specific example of anchor-based approaches) I would be happy to see many diverse applied examples on how SESOIs have been reasonably specified in sport and exercise science (if they exist...).

31.10.2025 05:19 — 👍 2    🔁 1    💬 1    📌 0
Redirecting

But the literature on the best estimation procedure to validly derive a SESOI based on these anchor-variables is very heterogenous: 
doi.org/10.1016/j.ym...

31.10.2025 05:19 — 👍 1    🔁 0    💬 1    📌 0
Redirecting

The most common approach is an anchor-based approach (i.e., using an external anchor/reference variable as a guidance to derive a SESOI), especially for psychological variables that have no natural metric and are measured with Likert-type scales.

doi.org/10.1016/j.je...

31.10.2025 05:19 — 👍 1    🔁 0    💬 1    📌 0

For example, I am currently working on determining a SESOI for improvements in affective responses during exercise (hope to submit the paper by the end of the year). ->

31.10.2025 05:19 — 👍 1    🔁 0    💬 1    📌 0

Exactly, but as we all know foundational work is not "sexy"... Even if researchers are engaging with the questions how they might be able to empirically specify a SESOI, there are still challenges. ->

31.10.2025 05:19 — 👍 1    🔁 0    💬 1    📌 0

Many thanks to Daniel Lakens @lakens.bsky.social and my supervisor Ralf Brand for providing feedback on previous versions of this commentary

30.10.2025 21:43 — 👍 1    🔁 0    💬 0    📌 0
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The effects of lengthened-partial range of motion resistance training of the limbs on arm and thigh muscle area: A multi-site randomised trial This project represents a highly powered pre-registered comparison of full ROM (fROM) and ‘lengthened partial’ ROM (lpROM) resistance training [RT]. A randomized controlled cluster trial across 15 ...

But we should also start to discuss best practices for determining SESOIs, maybe by providing more discipline specific examples @jamessteeleii.bsky.social 
 doi.org/10.1080/0264...

30.10.2025 21:43 — 👍 2    🔁 0    💬 2    📌 1

The call for specifying SESOIs in sport and exercise sciences has already been made @crist14n.bsky.social doi.org/10.1080/0264...

30.10.2025 21:43 — 👍 0    🔁 0    💬 1    📌 0

I am not considering myself a meta-scientist but as a PhD student, I follow meta-scientific discussions to improve my research practices.
This is my humble attempt to summarize previous discussions on severe testing for fellow (German) sport scientist outside the „open science bubble“

30.10.2025 21:43 — 👍 3    🔁 0    💬 1    📌 0
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From best practices to severe testing: A methodological response to Büsch and Loffing (2024) - German Journal of Exercise and Sport Research This commentary builds on the Büsch and Loffing (2024) exploration of methodological best practices for validly evaluating intervention studies. Extending their perspective, it is argued that research...

New Commentary published in the German Journal for Sport and Exercise Research, emphasizing not only the need to specify a SESOI when testing a claim, but recommending also to start a discussion about best practices to determine a SESOI
link.springer.com/article/10.1...

30.10.2025 21:43 — 👍 10    🔁 4    💬 1    📌 1
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My paper with @lakens.bsky.social and @annaveer.bsky.social - “Replication value as a function of citation impact and sample size” - has just been published in Meta psychology! open.lnu.se/index.php/me...

30.10.2025 09:11 — 👍 19    🔁 5    💬 1    📌 0

"the very core of science – an institution that promotes mutual criticism, while accepting our fallibility"

bsky.app/profile/lake...

29.10.2025 08:02 — 👍 4    🔁 1    💬 0    📌 0
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New release of PowerLMM.js! Browser-based power analysis for longitudinal models with dropout.

Now includes:
- Power analysis summary report
- Reproducible & shareable configs (URL/JSON)
- Calculations validated against R
- Hypothesis region visualization

powerlmmjs.rpsychologist.com

28.10.2025 14:02 — 👍 92    🔁 44    💬 4    📌 2
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Preserving musculoskeletal health through resistance training in individuals undergoing Glucagon-like Peptide-1 Receptor Agonist Therapy: a controlled interrupted time-series analysis (Stage 1 Registe... Glucagon-like peptide-1 receptor agonists (GLP-1-RAs) are increasingly prescribed for weight loss and cardiometabolic health but have been evidenced to lead to loss of lean soft tissue mass. Resistanc...

We're struggling to get reviews for our recent stage 1 at @pci-regreports.bsky.social

www.medrxiv.org/content/10.1...

If you've expertise in the methods proposed and/or subject area and would be happy to review then please get in contact and I can let the recommender handling the submission know.

24.10.2025 15:26 — 👍 1    🔁 1    💬 1    📌 0
Title: A Justification for 80% Power
Abstract:
Cohen’s heuristic reason for choosing 80% power (balancing Type I and TypeII errors) conveniently arrives at approximately the same number as an approachwhere one maximizes the marginal gain in power per standard error reduction. Ihave yet to see someone point this out, and this is interesting because it providesa non-arbitrary justification for 80% power.

Title: A Justification for 80% Power Abstract: Cohen’s heuristic reason for choosing 80% power (balancing Type I and TypeII errors) conveniently arrives at approximately the same number as an approachwhere one maximizes the marginal gain in power per standard error reduction. Ihave yet to see someone point this out, and this is interesting because it providesa non-arbitrary justification for 80% power.

a derivation of the result

a derivation of the result

I think this is kind of neat and I don't think anyone else has noticed it (I've looked and I can't find anyone who has) osf.io/preprints/so...

Maybe I should back off "justification" language, but it's at least a remarkable coincidence. I still think someone else *must* have noticed it...

24.10.2025 12:23 — 👍 70    🔁 21    💬 5    📌 0
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It also reminded me of the “stats maven” concept coined by @sanjaysrivastava.com some very long time ago, I believe here? thehardestscience.com/2014/12/04/s...

22.10.2025 16:18 — 👍 10    🔁 2    💬 1    📌 0
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Making the exercise experience more pleasurable: Exploring the psychological effect of allowing intensity adjustments during exercise Feeling good during exercise is a key predictor of whether people stay active. One factor thought to influence this is whether exercisers perceive control over their training intensity. A meta-anal...

New study exploring a potential strategy for increasing affective responses during exercise while emphasizing the need to rigorously test related auxiliary assumptions and determine an SESOI for confirmatory research:
doi.org/10.1080/0264...

21.10.2025 12:49 — 👍 1    🔁 1    💬 0    📌 0

Hi Daniel, will these slides be available online? I would have liked to attend the symposium, but unfortunately I couldn't make it time-wise...

17.10.2025 09:43 — 👍 0    🔁 0    💬 1    📌 0
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When and How to Deviate From a Preregistration, with Prof Daniël Lakens Prof Daniël Lakens will share guidance on appropriate circumstances and methods for deviating from a pre-registration

When is it appropriate to deviate from a pre-registration, and how should this be done? 🧐

Join us to find out from Daniël Lakens @lakens.bsky.social at the next ReproducibiliTea!

October 28, 1pm GMT.

Sign up: www.eventbrite.co.uk/e/when-and-h...

@tabeasch.bsky.social @reproducibilitea.org

13.10.2025 10:41 — 👍 23    🔁 16    💬 2    📌 1

Since all meta-scientific discussions of the open science movement are only slowly being carried over into sports and exercise science, I believe that it is unfortunately still a bubble

11.10.2025 08:08 — 👍 0    🔁 0    💬 0    📌 0
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The effects of lengthened-partial range of motion resistance training of the limbs on arm and thigh muscle area: A multi-site randomised trial This project represents a highly powered pre-registered comparison of full ROM (fROM) and ‘lengthened partial’ ROM (lpROM) resistance training [RT]. A randomized controlled cluster trial across 15 ...

Final version of our high-powered, pre-registered test of theoretically derived precise predictions regarding comparative RT interventions (full vs lengthened partial range of motion) in trained particiapnts now published in Journal of Sport Sciences: doi.org/10.1080/0264...

08.10.2025 10:18 — 👍 9    🔁 3    💬 1    📌 1

@cspaeth is following 20 prominent accounts