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Timo Gnambs

@tgnambs.bsky.social

Head of Educational Measurement at LIfBi Bamberg Germany #psychology #psychometrics #assessment #metaanalysis #LSA #stats

233 Followers  |  247 Following  |  68 Posts  |  Joined: 24.09.2023  |  1.95

Latest posts by tgnambs.bsky.social on Bluesky

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AStA Advances in Statistical Analysis AStA Advances in Statistical Analysis is a quarterly journal that publishes original contributions on statistical methodology, applications, and review ...

Advances in Statistical Analysis has a call for papers on the role of multiverse analysis in statistical modelling and applications: link.springer.com/journal/1018...

Deadline is May 1st, so still plenty of time to put something together!>

03.02.2026 17:42 β€” πŸ‘ 28    πŸ” 12    πŸ’¬ 2    πŸ“Œ 1
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Confusion in gaming disorder measurement Abstract. Measurement is important for the scientific programmes of addictive behaviours. In the present study, we investigated the measurement of gaming d

First post of the year, new paper out today: we present possibly the biggest case of systematic Measurement Schmeasurement in tech use. It seems that most studies on gaming (videogame) addiction/disorder haven't measured gaming after all. This research took years, so long 🧡 doi.org/10.1098/rsos...

28.01.2026 09:56 β€” πŸ‘ 191    πŸ” 100    πŸ’¬ 8    πŸ“Œ 20

I had not heard of a "mode effect" until @georgiatomova.bsky.social invited me to be part of this paper.

If you've not heard of them either, I'm thrilled to share our introductory paper (with DAGs!) in @amjepi.bsky.social

Turns out they're really important for anyone using survey data!

28.01.2026 15:43 β€” πŸ‘ 17    πŸ” 5    πŸ’¬ 3    πŸ“Œ 0
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1/9 New blog is live! This is part 2 of a seriesβ€”last time we looked at the Dunning-Kruger effect, now we are digging in to Implicit vs Explicit attitudes and the Implicit Association Test. To start, of course we need a good meme...

haines-lab.com/post/part-2-...

26.01.2026 17:45 β€” πŸ‘ 41    πŸ” 15    πŸ’¬ 4    πŸ“Œ 3

I genuinely had no idea #rstats technically has a module system.

my_module <- new.env()
source("helpers.R", local = my_module)

my_module$add(1, 2)

25.01.2026 11:26 β€” πŸ‘ 123    πŸ” 12    πŸ’¬ 5    πŸ“Œ 1

"in particular mice methods tend to have the best performance. Despite their growing popularity, deep learning-based joint imputation methods, such as miwae, gain, miracle, and remasker consistently underperformed in our analysis." #statistics #statsky #academicsky #skystats

23.01.2026 14:54 β€” πŸ‘ 9    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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Call for Papers: Psychometrika Special Issue - Psychometric Society Data Intensive Methods in Psychometrics

Excited to share a new call for papers for a special issue in Psychometrika focused on Data Intensive Methods in Psychometrics that I'll be guest editing with @kyliegorney.bsky.social, @jmbh.bsky.social, @leonievogelsmeier.bsky.social, and Ben Domingue: www.psychometricsociety.org/post/call-sp...

15.01.2026 16:08 β€” πŸ‘ 15    πŸ” 7    πŸ’¬ 0    πŸ“Œ 2
Waffle chart showing James Bond's weekly alcohol consumption across 12 novels. Each gold square represents one unit of alcohol. The chart is faceted by book title and year of publication, with consumption rates ranging from 52.4 units per week (Goldfinger) to 132 units per week (You Only Live Twice). Numbers labelled on each facet show the weekly consumption total.

Waffle chart showing James Bond's weekly alcohol consumption across 12 novels. Each gold square represents one unit of alcohol. The chart is faceted by book title and year of publication, with consumption rates ranging from 52.4 units per week (Goldfinger) to 132 units per week (You Only Live Twice). Numbers labelled on each facet show the weekly consumption total.

For this week's #TidyTuesday, I visualized James Bond's drinking habits across the 12 novels using a waffle chart, based on the 2013 study "Were James Bond's drinks shaken because of alcohol induced tremor?"

Code: github.com/gkaramanis/t...

#RStats #dataviz

11.01.2026 15:25 β€” πŸ‘ 24    πŸ” 4    πŸ’¬ 0    πŸ“Œ 0
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#OpenScience #ResearchIntegrity #AcademicPublishing
Preprint:
Nießen, D., Poppa, C., Daikeler, J., Silber, H., Weiß, B., & Richter, D. (2025). Actor-driven risk factors of publication bias: Opening the file drawer of two probabilistic panel surveys. PsyArXiv.
doi.org/10.31234/osf...

02.01.2026 08:00 β€” πŸ‘ 5    πŸ” 4    πŸ’¬ 1    πŸ“Œ 0
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Comparing Video-Based and Face-to-Face #Psychotherapy: A Systematic Review and Multi-Level Meta-Analysis across Mental Disorders Date Submitted: Dec 9, 2025. Open Peer Review Period: Dec 9, 2025 - Feb 3, 2026.

Reminder>> Comparing Video-Based and Face-to-Face #Psychotherapy: A Systematic Review and Multi-Level Meta-Analysis across Mental Disorders (preprint) #openscience #PeerReviewMe #PlanP

13.12.2025 14:34 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Reproducibility of meta-analytic results in systematic reviews of interventions: meta-research study Objective To determine how often meta-analyses of effects of interventions are reproducible.Design Meta-research study.Setting Systematic reviews with meta-analyses of the effects of health, social, b...

β€œ104 meta-analyses (86%) were fully reproducible, seven (6%) were not fully reproducible, and 10 (8%) had insufficient data available to attempt reproduction. ”

bmjmedicine.bmj.com/content/4/1/...

06.12.2025 13:34 β€” πŸ‘ 13    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0

Got a great paper on how AI is reshaping public opinion research? Submit it to POQ's special issue on Artificial Intelligence and the Future of Survey Research!

Papers are being reviewed and accepted on a rolling basis starting now – full details here: s3-us-west-2.amazonaws.com/clarivate-sc...

03.12.2025 18:16 β€” πŸ‘ 3    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0
GESIS Workshop
Introduction to Structural Equation Modeling
04 to 06 March 2026 | Online
Timo Gnambs (Leibniz Institute for Educational Trajectories (LIfBi))

GESIS Workshop Introduction to Structural Equation Modeling 04 to 06 March 2026 | Online Timo Gnambs (Leibniz Institute for Educational Trajectories (LIfBi))

Hidden variables in your data? πŸ•΅οΈβ€β™€οΈ
Find them in @tgnambs.bsky.social’s #GESISworkshop on structural equation modeling!
Build a solid #SEM foundation β€” from measurement models to mediation, moderation, invariance, and longitudinal SEMs, hands-on in R with #lavaan.

Info ➑️ t1p.de/Intro-SEM26

03.12.2025 14:11 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 2

*Introduction to Structural Equation Modeling* by @tgnambs.bsky.social
πŸ—“οΈ 04 – 06 March 2026
🏒 Online
🌐 t1p.de/Intro-SEM26

03.12.2025 12:09 β€” πŸ‘ 0    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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An Audit of Social Science Survey Experiments Abstract. Survey experiments have become a popular methodology for causal inference across the social sciences. We study the efficacy of survey experiment

Needed - larger samples, more realism about (the lack of) heterogeneous treatment effects:
-"less than a third of proposed hypotheses were supported... the largest predictor of positive exp. results was sample size"
-"moderation hypotheses were rarely significant"
academic.oup.com/poq/advance-...

30.11.2025 15:16 β€” πŸ‘ 83    πŸ” 36    πŸ’¬ 4    πŸ“Œ 3
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New chart from Mike Males using MTF and Pew Research data finds that trends in teen social media and smartphone use are unrelated to teen loneliness (which hasn't changed much over the years anyway aside from an unexplained dip in the 2000s).

21.11.2025 22:16 β€” πŸ‘ 20    πŸ” 4    πŸ’¬ 0    πŸ“Œ 4
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new paper by Sean Westwood:

With current technology, it is impossible to tell whether survey respondents are real or bots. Among other things, makes it easy for bad actors to manipulate outcomes. No good news here for the future of online-based survey research

18.11.2025 19:15 β€” πŸ‘ 777    πŸ” 390    πŸ’¬ 41    πŸ“Œ 127
Advances in Statistical Model Evaluation
Submission deadline: 31 December 2026
The Special Issue accepts theoretical, methodological, applied, and philosophically oriented research on frequentist, Bayesian, and information-theoretic advances in statistical model evaluation.

Advances in Statistical Model Evaluation Submission deadline: 31 December 2026 The Special Issue accepts theoretical, methodological, applied, and philosophically oriented research on frequentist, Bayesian, and information-theoretic advances in statistical model evaluation.

Topics of interest for this call for papers include but are not restricted to:

β€’ Methodological advances in fit assessment, parametric bootstrapping, cross-validation, and/or other frequentist model evaluation methods

β€’ Methodological advances in prior and/or posterior predictive model checking, specification and use of informed priors, Bayes factors, and/or other Bayesian model evaluation

β€’ Methodological advances in minimum description length, normalized maximum likelihood, and/or other information-theoretic model evaluation methods

β€’ Practical applications and tutorials of advanced model evaluation methods

β€’ Philosophy of science issues underlying statistical model evaluation

β€’ Critiques/perspectives/commentaries on statistical model evaluation

Topics of interest for this call for papers include but are not restricted to: β€’ Methodological advances in fit assessment, parametric bootstrapping, cross-validation, and/or other frequentist model evaluation methods β€’ Methodological advances in prior and/or posterior predictive model checking, specification and use of informed priors, Bayes factors, and/or other Bayesian model evaluation β€’ Methodological advances in minimum description length, normalized maximum likelihood, and/or other information-theoretic model evaluation methods β€’ Practical applications and tutorials of advanced model evaluation methods β€’ Philosophy of science issues underlying statistical model evaluation β€’ Critiques/perspectives/commentaries on statistical model evaluation

Announcement: I am excited to be co-editing (with Li Cai) an upcoming Special Issue of the Journal of Mathematical Psychology on "Advances in Statistical Model Evaluation." Proposals due Feb 1. Details: www.sciencedirect.com/special-issu...

Please repost!

#quantpsych #mathpsych #philsci #statsky

18.11.2025 18:18 β€” πŸ‘ 16    πŸ” 16    πŸ’¬ 1    πŸ“Œ 3
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GAG529: Das Schicksal der Geschwister Freud - Geschichten aus der Geschichte Eine Geschichte ΓΌber die Geschwister Sigmund Freuds und ihre Entrechtung durch das NS-Regime

Mittwoch! Wir sprechen diese Woche ΓΌber die Geschwister Sigmund Freuds, und deren systematische Entrechtung durch das NS-Regime.

https://www.geschichte.fm/archiv/gag529/

12.11.2025 09:28 β€” πŸ‘ 31    πŸ” 13    πŸ’¬ 2    πŸ“Œ 1

I assume it will be 17:00 UTC (and not 16:00).

14.11.2025 16:05 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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You don't want to miss the next @srma-sig.bsky.social webinar on "A meta-review on the methodological quality of education intervention meta-analyses" featuring work by #MartaPellegrini, @terripigott.bsky.social and colleagues!

@aeraedresearch.bsky.social #MetaAnalysis #SystematicReview

13.11.2025 23:48 β€” πŸ‘ 7    πŸ” 3    πŸ’¬ 2    πŸ“Œ 1

The Journal of Open Psychology Data (JOPD) invites data papers that present datasets for psychological research on learning processes, educational environments, individual differences, motivation, achievement, or social factors in education.

13.11.2025 11:11 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Journal of Open Psychology Data

🌍 Call for papers: Educational Datasets for Psychological Research

πŸ—“οΈ Deadline: June 30, 2026
πŸ”— More information: openpsychologydata.metajnl.com

The editorial team including Debora Maehler, @uschroeders.bsky.social , Kati Mozygemba, and myself look forward to your submission!

13.11.2025 11:11 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0

Y'all. N>3,800. !!!!!!!

Goodness gracious.

12.11.2025 22:49 β€” πŸ‘ 60    πŸ” 26    πŸ’¬ 6    πŸ“Œ 2

This study was made possible through a fruitful collaboration with πŸ‘‰ @jpstein.de, Sabine Zinn, Florian Griese, and @markusappel.bsky.social.

12.11.2025 07:29 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

- Direct experience with AI was still rather limited β€” especially in healthcare and education.

πŸ“Š In sum, while AI is broadly accepted across domains in Germany, first-hand experience remains relatively scarce.

12.11.2025 07:29 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Key findings:
- Overall, respondents expressed favorable attitudes toward AI.
- Healthcare applications of AI were viewed more positively than those in the work context.
- Cognitive evaluations were more positive than emotional or behavioral responses.

12.11.2025 07:29 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Attitudes, experiences, and usage intentions of artificial intelligence: A population study in Germany Artificial intelligence (AI) increasingly affects individuals’ private and professional lives. Importantly, both the acceptance and adoption of new AI…

πŸ’‘ How do people in Germany perceive Artificial Intelligence (AI)?

In our recent population survey in Germany, we examined attitudes, experiences, and usage intentions regarding AI in work, healthcare, and education.

πŸ”— Read the full open-access article here:
www.sciencedirect.com/science/arti...

12.11.2025 07:29 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0

Out now in AMPPS:

05.11.2025 05:46 β€” πŸ‘ 12    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0

To help researchers in this respect, @uschroeders.bsky.social and I wrote a tutorial on sample size planning for IRT analyses (open access). It includes practical recommendations and R code examples in the supplemental material.

05.11.2025 06:47 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

@tgnambs is following 20 prominent accounts