In this article, we present a model that estimates averaged interval responses, weighted by respondent consistency.
04.11.2025 10:03 β π 0 π 0 π¬ 0 π 0@matzekloft.bsky.social
Quantitative Methods in Psychology
In this article, we present a model that estimates averaged interval responses, weighted by respondent consistency.
04.11.2025 10:03 β π 0 π 0 π¬ 0 π 0The final paper of my dissertation has just been published in Psychometrika (@pmetricsoc.bsky.social). Many thanks to @bsiepe.bsky.social and @danielheck.bsky.social, who co-authored it with me.
www.cambridge.org/core/journal...
We are deeply grateful to everyone who shares their ESM data.
Thanks to @jmbh.bsky.social, @matzekloft.bsky.social, @anabelbuechner.bsky.social, @yongzhangzzz.bsky.social, @eikofried.bsky.social, @danielheck.bsky.social for collaborating on this huge effort - we look forward to your feedback!
A figure showing the software components of the openESM database in two large boxes: Front-end (on the left), and back-end (on the right). The front-end contains documentation and the website with search and is written with html and javascript. The backend contains GitHub repositories with code and metadata that serve the website. They are related to Zenodo repositories with data and metadata, and our helper software packages in R and Python. We use TSV files for ESM data and JSON files for metadata storage.
Further details:
βΆοΈSearch and filter datasets on openesmdata.org
βΆοΈAuto-generate R/Python code
βΆοΈ(Meta-)data are stored on Zenodo with DOIs
βΆοΈMetadata and software on GitHub enable community contributions
βΆοΈContribution guidelines allow further database extensions so that openESM can continue to grow
We built the openESM database:
βΆοΈ60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
βΆοΈHarmonized (meta-)data, fully open-source software
βΆοΈFilter & search all data, simply download via R/Python
Find out more:
π openesmdata.org
π doi.org/10.31234/osf...
New paper out in Scientific Reports. I helped with modeling expectancy ratings.
www.nature.com/articles/s41...
There is also a package website: matthiaskloft.github.io/intervalpsych/
08.07.2025 11:54 β π 0 π 0 π¬ 0 π 0Today, my first R-package was released on CRAN. π
You can use it to analyze interval responses collected via dual range slider scales.
Thank you to my colleague @bsiepe.bsky.social for being such an enthusiastic co-author.
cran.r-project.org/web/packages...
Thanks to the great Marburg-Groningen team: @matzekloft.bsky.social, @yongzhangzzz.bsky.social, @fridtjofptrsn.bsky.social, @bringmannlaura.bsky.social, @danielheck.bsky.social
π»The sim was preregistered, all code + Docker container to reproduce main results available on OSF
We have a new reproduction. Siepe et al. reproduce: "A systematic review and Bayesian meta-analysis of the acoustic features of infant-directed speech" by Cox et al. @naturehumbehav.bsky.social. Full report below.
03.02.2025 13:15 β π 11 π 6 π¬ 1 π 0New preprint together with @bsiepe.bsky.social and @danielheck.bsky.social. We propose a model to estimate consensus intervals from interval ratings:
doi.org/10.31234/osf...
We have a new preprint where we propose a model to estimate consensus intervals for interval ratings: osf.io/preprints/ps...
Maybe this could be relevant for you.
New preprint by my PhD student @matzekloft.bsky.social:
Discriminant validity of interval response formats: Investigating the dimensional structure of interval widths
osf.io/preprints/ps...
New paper by my PhD student @matzekloft.bsky.social now published in Behavior Research Methods (open access)π₯³
Measuring the variability of personality traits with interval responses: Psychometric properties of the dual-range slider response format
doi.org/10.3758/s134...
Also this might be interesting: journals.sagepub.com/doi/10.3102/...
psycnet.apa.org/doiLanding?d...
Vielen Dank fΓΌr den guten Artikel. "Wettbewerbsanteil" sollte vermutlich "Wettbewerbsnachteil" heiΓen?
22.11.2023 12:35 β π 0 π 0 π¬ 1 π 0