Brendan Schuetze

no…

I wouldn't mind if the last sentence of your tweet above was appended to all journal articles in education and psychology 😄

Effectiveness of indoor rock climbing and bouldering as treatment for depression – a systematic review - BMC Psychiatry Introduction Depression is one of the most prevalent disorders worldwide. In addition to psychotherapy, cognitive behavioural therapy and antidepressants, exercise therapy is frequently recommended, with emerging evidence highlighting the unique characteristics of rock climbing, including its potential to promote mindfulness, making it a promising therapy. This review aimed to assess whether rock climbing reduces symptoms of depression, the magnitude of effect, and whether effects are sustained long-term. Methods Systematic review conducted according to PICO framework and reported according to PRISMA-statement. Eligible studies were controlled trials assessing indoor rock climbing versus any comparator, including adults with moderate depression, with symptoms reduction on validated depression scales as outcome. Systematic searches were conducted in PubMed, Scopus, and Web of Science (inception to January 2025), with no language or publication date restrictions. Screening (via Rayyan), data extraction, and methodological quality assessment (using PEDro scale) were performed independently and in duplicate. Clinical relevance was assessed using minimal clinically important difference (MCID). Due to heterogeneity of interventions and comparators, findings were narratively synthesized. Certainty of evidence was rated using GRADE. Results Out of 1,832 identified records, seven studies (reported in 10 articles) including 471 participants, met PICO-criteria. Included studies were conducted between 2015 and 2023, in Germany/Austria. Methodological quality was generally good (median PEDro score 6/10). Indoor bouldering (combined with mindfulness exercises) significantly reduced symptoms of depression from moderate to mild (e.g. -8.3 points on MADRS, exceeding MCID of 5 points), indicating a clinically meaningful improvement compared to no intervention (high certainty evidence). Longer duration interventions (8–10 weeks) were needed for effects to persist at 6–12 months (high certainty evidence). Four weeks of top-rope climbing also reduced symptoms of depression from moderate to mild, were sustained long-term, but did not exceed MCID (low certainty evidence). No adverse events were reported. Conclusions Indoor rock climbing, particularly bouldering (combined with mindfulness exercises), appears to be an effective, clinically meaningful, safe, and sustainable adjunctive intervention for adults with moderate depression. However, further high-quality trials are needed to isolate the effects of rock climbing from co-interventions and to compare it with established treatments such as antidepressants and aerobic exercise. Trial registration PROSPERO: CRD42024468119, date of registration: 24-01-2024.

A Systematic Review in BMC Psychiatry finds that indoor rock climbing, particularly bouldering (combined with mindfulness exercises), can be an effective, and safe, adjunctive intervention for adults with moderate depression. Further studies are warranted.

#MedSky #PsychSciSky

A Computational Model of School Achievement - Educational Psychology Review The computational model of school achievement represents a novel approach to theorizing school achievement, conceptualizing educational interventions as modifications to students’ learning curves. By ...

This is a theoretical predicted outcome of computational modeling I recently published -- essentially one can conceptualize underconfidence in metacognitive monitoring as shifting one's learning goal upwards, increasing performance if students are highly motivated

link.springer.com/article/10.1...

About PsyArXiv – PsyArXiv Blog What is PsyArXiv? PsyArXiv (psychology archive) is an open preprint archive designed to facilitate rapid dissemination of psychological research. PsyArXiv is a creation of the Society for the…

PsyArXiv's amazing team of 100+ moderators has now approved all preprints that meet the requirements outlined in the updated PsyArXiv policies (is.gd/paxpolicy). Thank you to everyone who volunteered, this was a true community effort! #PsychSciSky

Image of labubu doll labeled labubu next to image of spiky labubu doll labeled lakiki

::slowly stands while clapping::

Gunshot fired at UVU speech by right-wing commentator Charlie Kirk A gunshot rang out at Utah Valley University on Wednesday during an appearance by right-wing political commentator Charlie Kirk.

BREAKING: Multiple witnesses say right wing commentator Charlie Kirk was shot while speaking at Utah Valley University.

in psychology, I feel like it’s that everything has to be modeled as a latent variable

too late lmer goes brrrrrr

I missed the last three words of this tweet when I first read it, and I thought JB Pritzker was turning into General Lee for a second

Viel Spaß!

as they might say ;)

Thanks to our amazing moderators working on this 24/7, we are now 50% done with the PsyArXiv backlog! 🎉

For all our PsyArXiv users, thank you for your patience. If you would like to help us, here are some tips to help your next preprint sail through moderation:

#PsychSciSky

Possibly the most influential psychology study of the last decade?

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities Abstract Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals). Illustrated are 1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals 2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and 3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...

An arrow with a LaTeX equation

Trigonometric functions and a unit circle

A bivariate change model with structured residuals

A hierarchical model of cognitive abilities

Now on CRAN, ggdiagram is a #ggplot2 extension that draws diagrams programmatically in #Rstats. Allows for precise control in how objects, labels, and equations are placed in relation to each other.
wjschne.github.io/ggdiagram/ar...

Greenhouse-geisser?

What is this a field experiment at Yellowstone?

Mauchly's test of sphericity?

What exactly are we testing and why isn't it just called equal variances?

Whenever I read a paper reporting repeated measures ANOVAs, it always sounds like arcane nonsense.

Pillai’s Trace?

That’s not a test statistic, that’s a forgotten railway line.

norman rockwell’s famous “freedom of speech” oil painting

an old jacket in a glass case, which belonged to the model in the painting

guys I’m off this week … went to the norman rockwell museum. found the meme in real life — and his jacket

cool cool cool 🫠

Y’all we’ve all met reviewer 2, but I fear recent experience has shown me reviewer 5 is much worse

White background with the APA logo to the left. On top of the flyer are two researchers, below is text about their research presentation at the conference

How can we use graduate education in educational psychology to respond to calls for integrating race, culture, and systemic influences into research?

Join
@allisonzengilowski.bsky.social and I bright and early tomorrow to talk about it

Seeing this in my uber to the airport is devastating

Come for my talk, stay for @drteyar.bsky.social or vice versa — I’m not your boss :)

If you’re at APA 2025, I’d love to see you in the audience at my Pintrich award address at 1pm tomorrow!

The topic is formalizing theories in SRL and how this explains seemingly odd yet replicable phenomena in education research 🤓

Location: Colorado Convention Center, Street Level, Room 201

Further question is the metric that spotify DJ reports:

P(M5₍ᵤ₎ > M5₍g₎)

or

P(M5₍ᵤ₎ > M5₍g₎ | user ∈ M5ₗᵢₛₜₑₙₑᵣₛ)?

And if it's the latter what qualifies someone as a listener

No, I haven't seen the news today, but the Spotify DJ told me I was in the top 2% of Maroon 5 listeners last week, so my day was already in shambles.

Psychologists & related fields: what is a big methods question that you believe remains somewhat unanswered & that you'd love to see adressed? There may be an opportunity for a large-scale meta-science project with many teams trying to figure out a question.

Any thoughts welcome! #psychscisky

oh!