Anabel Büchner
@anabelbuechner.bsky.social
290 followers 210 following 13 posts
PhD student at HU Berlin | Interested in personality dynamics, assessment & open science | https://www.psychology.hu-berlin.de/en/personnel/91680977
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Reposted by Anabel Büchner
richlucas.bsky.social
We already know that lagged effects in CLPMs are likely to be upwardly biased, but just how easy is it to find significant effects? Way too easy. I tested CLPMS in 100 randomly selected pairs of correlated variables and found significant effects in 98 of them. New preprint: osf.io/preprints/ps...
OSF
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Reposted by Anabel Büchner
leonievogelsmeier.bsky.social
🚨 New preprint: We compared 13 methods for detecting momentary careless responding in the WARN-D data (206k+ obs.). Tutorials guide you through each method. The takeaway? Diverging results, inherent subjectivity (to varying degrees), and a clear need for further validation.
osf.io/preprints/ps...
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osf.io
anabelbuechner.bsky.social
The same pattern also shows up for personality traits 👇
journals.sagepub.com/doi/10.1177/...
Reposted by Anabel Büchner
niclaskuper.bsky.social
Excited to share this new preprint with Simon Breil, Katharina Utesch & Mitja Back: "Predicting More Behavior More of the Time: On the Behavioral Nature of Different Personality Trait Measures" osf.io/preprints/ps...
Reposted by Anabel Büchner
katiecorker.bsky.social
New and improved 😆 Those who were at the first training will know we needed to 🤦‍♀️

See you tomorrow, we're so thrilled to see all of the interest in supporting @psyarxivbot.bsky.social
Reposted by Anabel Büchner
leonievogelsmeier.bsky.social
New paper: In the context of self-regulated learning, if LLMs reliably simulated survey responses, they could be used to test interventions, refine theoretical models, & augment sparse datasets; but the psychometric validity of the responses depends on the LLM. www.sciencedirect.com/science/arti...
Delving Into the Psychology of Machines: Exploring the Structure of Self-Regulated Learning via LLM-Generated Survey Responses
Large language models (LLMs) offer the potential to simulate human-like responses and behaviors, creating new opportunities for psychological science.…
www.sciencedirect.com
Reposted by Anabel Büchner
Reposted by Anabel Büchner
berndschaefer.bsky.social
New preprint: osf.io/8c6sz_v1
@mdkraemer.bsky.social and I, with our fantastic co-authors Cornelia Wrzus, Yannick Roos and @drichter77.bsky.social examined how social contact, desire, and affect dynamically interact across different modalities (in-person, digital) and time scales (hourly, daily).
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anabelbuechner.bsky.social
Comparing the most important predictors indicated meaningful differences between the components and types. One example: impulsive tendencies predicted greater success in initiation conflicts, suggesting that a certain "just do it" attitude could be helpful for this conflict type
anabelbuechner.bsky.social
Trait items indexed all components to some extent, but most strongly successful conflict resolution (as expected).

No trait items reliably predicted inhibition conflicts, which is surprising given that many trait scales were developed precisely for this conflict type.
anabelbuechner.bsky.social
Most trait scales were developed based on much narrower definitions. So: which parts of these broader conceptualizations do they actually capture?

We applied machine learning techniques to experience-sampling data, linking 169 trait items of self-control to these components and types in daily life.
anabelbuechner.bsky.social
Broader conceptualizations of self-control distinguish between:
• Components: frequency, intensity, and successful resolution of self-control conflicts
• Types of conflicts: initiating goal-directed behavior, persisting in that behavior, and inhibiting goal-inconsistent behavior
anabelbuechner.bsky.social
Self-control in daily life is more than willpower — but how well do commonly used trait scales capture this recent, broader view on self-control?

New preprint with @kaihorstmann.bsky.social & @mhennecke.bsky.social: osf.io/preprints/ps...
Short summary below.
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osf.io
Reposted by Anabel Büchner
mdkraemer.bsky.social
Self-improvement, self-acceptance, and/or methods effects? Travis Miller, @chopwood.bsky.social , and @wiebkeb.bsky.social, and I examined factors that might explain personality change intervention effects - now in print at JPSP 🥳: doi.org/10.1037/pspp...
Reposted by Anabel Büchner
psyarxivbot.bsky.social
Gender Differences in Personality Traits and Average Personality States: Using Experience Sampling to Circumvent Bias in Self-Reports: https://osf.io/a573g
Reposted by Anabel Büchner
tedmond.bsky.social
Extremely excited to share the first effort of the Revived Genomics of Personality Consortium: A highly-powered, comprehensive GWAS of the Big Five personality traits in 1.14 million participants from 46 cohorts. www.biorxiv.org/content/10.1...
Reposted by Anabel Büchner
simine.com
My editorial on how journals can earn trust.

We often use journal names as proxies for quality. This is bad bc it’s not valid. But it could be. Editors could make journal name a valid signal. And we could place value on journals that show us how they do that.

journals.sagepub.com/doi/full/10....