Matthias Kloft's Avatar

Matthias Kloft

@matzekloft.bsky.social

Quantitative Methods in Psychology

48 Followers  |  277 Following  |  9 Posts  |  Joined: 01.10.2023  |  2.1312

Latest posts by matzekloft.bsky.social on Bluesky

In this article, we present a model that estimates averaged interval responses, weighted by respondent consistency.

04.11.2025 10:03 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
The Interval Consensus Model: Aggregating Continuous Bounded Interval Responses | Psychometrika | Cambridge Core The Interval Consensus Model: Aggregating Continuous Bounded Interval Responses

The 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...

04.11.2025 10:03 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 1    πŸ“Œ 1

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!

22.10.2025 19:34 β€” πŸ‘ 12    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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.

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:
▢️Search and filter datasets on openesmdata.org
▢️Auto-generate R/Python code
▢️(Meta-)data are stored on Zenodo with DOIs
▢️Metadata and software on GitHub enable community contributions
▢️Contribution guidelines allow further database extensions so that openESM can continue to grow

22.10.2025 19:34 β€” πŸ‘ 7    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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We built the openESM database:
▢️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place
▢️Harmonized (meta-)data, fully open-source software
▢️Filter & search all data, simply download via R/Python

Find out more:
🌐 openesmdata.org
πŸ“ doi.org/10.31234/osf...

22.10.2025 19:34 β€” πŸ‘ 268    πŸ” 137    πŸ’¬ 14    πŸ“Œ 13
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Threat expectancies in a VR fear conditioning paradigm follow non-linear extinction patterns but are not influenced by intolerance of uncertainty - Scientific Reports Scientific Reports - Threat expectancies in a VR fear conditioning paradigm follow non-linear extinction patterns but are not influenced by intolerance of uncertainty

New paper out in Scientific Reports. I helped with modeling expectancy ratings.
www.nature.com/articles/s41...

16.10.2025 17:15 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Analyzing Interval Data in Psychometrics Implements the Interval Consensus Model (ICM) for analyzing continuous bounded interval-valued responses in psychometrics using Stan for Bayesian estimation. Provides functions for transforming interv...

There is also a package website: matthiaskloft.github.io/intervalpsych/

08.07.2025 11:54 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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intervalpsych: Analyzing Interval Data in Psychometrics Implements the Interval Consensus Model (ICM) for analyzing continuous bounded interval-valued responses in psychometrics using 'Stan' for 'Bayesian' estimation. Provides functions for transforming in...

Today, my first R-package was released on CRAN. πŸŽ‰
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...

08.07.2025 11:53 β€” πŸ‘ 7    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

Thanks to the great Marburg-Groningen team: @matzekloft.bsky.social, @yongzhangzzz.bsky.social, @fridtjofptrsn.bsky.social, @bringmannlaura.bsky.social, @danielheck.bsky.social

πŸ’»The sim was preregistered, all code + Docker container to reproduce main results available on OSF

28.04.2025 08:31 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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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€” πŸ‘ 11    πŸ” 6    πŸ’¬ 1    πŸ“Œ 0
OSF

New 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...

25.10.2024 13:03 β€” πŸ‘ 4    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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.

25.10.2024 12:58 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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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...

12.06.2024 21:07 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1

New paper by my PhD student @matzekloft.bsky.social now published in Behavior Research Methods (open access)πŸ₯³

Measuring the variability of personality traits with interval responses: Psychometric properties of the dual-range slider response format
doi.org/10.3758/s134...

15.04.2024 06:56 β€” πŸ‘ 7    πŸ” 4    πŸ’¬ 0    πŸ“Œ 0

Also this might be interesting: journals.sagepub.com/doi/10.3102/...

psycnet.apa.org/doiLanding?d...

19.03.2024 10:39 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Vielen Dank für den guten Artikel. "Wettbewerbsanteil" sollte vermutlich "Wettbewerbsnachteil" heißen?

22.11.2023 12:35 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

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