Sebastian E. Wenz's Avatar

Sebastian E. Wenz

@sewenz.bsky.social

Social Scientist. Senior researcher at GESIS - Leibniz Institute for the Social Sciences, Cologne. www.sewenz.com

2,047 Followers  |  1,904 Following  |  616 Posts  |  Joined: 27.08.2023  |  2.2098

Latest posts by sewenz.bsky.social on Bluesky

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Read our latest special issue in Survey Methodology:
➑️ Advancing Comparative Research: Exploring Error and Quality Indicators in Social Research.
Edited by @heinzleitgoeb.bsky.social, Stefanie Kley, Katharina Meitinger & Natalia Menold.
surveyinsights.org

06.02.2026 08:54 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
  The decline effect (Protzko & Schooler, 2017) is an observed phenomenon where effect sizes in experiments apparently diminish in size from the first paper demonstrating the effect to later replications. This has been taken as a symptom of an unhealthy scientific ecosystem, possibly caused by the "winner's curse" (selection on significance and regression to the mean), publication bias or opportunistic analyses. I show that decline effects can arise as an artifact from a much simpler source: the original article determining the sign of the effect in a meta-analysis. Moreover, such artifactual decline effects will show correlations with some of the same experimental properties that one would expect from biases from poor behavior, such as the sample size of the original study.

The decline effect (Protzko & Schooler, 2017) is an observed phenomenon where effect sizes in experiments apparently diminish in size from the first paper demonstrating the effect to later replications. This has been taken as a symptom of an unhealthy scientific ecosystem, possibly caused by the "winner's curse" (selection on significance and regression to the mean), publication bias or opportunistic analyses. I show that decline effects can arise as an artifact from a much simpler source: the original article determining the sign of the effect in a meta-analysis. Moreover, such artifactual decline effects will show correlations with some of the same experimental properties that one would expect from biases from poor behavior, such as the sample size of the original study.

New draft: "Decline effects, statistical artifacts, and a meta-analytic paradox". In this manuscript I show how a common practice in meta-analysis (eg the 2015 Open Science Collaboration) creates artifactual signatures of poor scientific behavior. PDF: raw.githubusercontent.com/richarddmore... 1/x

02.02.2026 14:56 β€” πŸ‘ 70    πŸ” 28    πŸ’¬ 5    πŸ“Œ 3
science barometer 2025

science barometer 2025

The science barometer 2025 is now available! It focuses on the topic of polarisation and the role that science can play in a society that is perceived as polarised.
All results and a background paper on polarisation can be found on our website:
πŸ“Š wissenschaft-im-dialog.de/ressourcen/#...

#scicomm

05.02.2026 10:02 β€” πŸ‘ 11    πŸ” 7    πŸ’¬ 1    πŸ“Œ 0
Info Certificate Program 2026

Info Certificate Program 2026

πŸ“’KODAQS Data Quality Academy Certificate Program 2026 open for applications - take the currently last opportunity to register for our six-month program and become a verified data quality steward πŸ“’

Call for Applications: www.gesis.org/en/gesis-tra...

πŸ“†Application Deadline: February 8, 2026.

03.02.2026 10:38 β€” πŸ‘ 3    πŸ” 4    πŸ’¬ 0    πŸ“Œ 3
Upcoming Workshops May 2026:

Preprocessing and Analyzing Web Tracking Data
04 – 05 May | Hybrid (Cologne | Online)

Introduction to Conjoint Survey Experiments
06 – 07 May | Online

Introduction to R
06 – 08 May | Online

Upcoming Workshops May 2026: Preprocessing and Analyzing Web Tracking Data 04 – 05 May | Hybrid (Cologne | Online) Introduction to Conjoint Survey Experiments 06 – 07 May | Online Introduction to R 06 – 08 May | Online

New skills bloom this May with #GESISworkshops 🌸

Explore:
πŸŒπŸ“Š Preprocessing and Analyzing Web Tracking Data
πŸ§©πŸ“ˆ Introduction to Conjoint Survey Experiments
πŸ’»β±οΈ Introduction to R

@gesis.org

Full program ➑️ gesis.org/training
Workshop details πŸ§΅πŸ‘‡

04.02.2026 11:54 β€” πŸ‘ 5    πŸ” 6    πŸ’¬ 1    πŸ“Œ 0
Diagram showing four phases of methodological research (Theory, Exploration, Systematic Comparison, Evidence Synthesis) with an arrow indicating that preregistration usefulness increases from early to late phases. Each phase lists its aim, elements, outcome, and an example from factor retention research.

Diagram showing four phases of methodological research (Theory, Exploration, Systematic Comparison, Evidence Synthesis) with an arrow indicating that preregistration usefulness increases from early to late phases. Each phase lists its aim, elements, outcome, and an example from factor retention research.

Does it make sense to preregister simulation studies?
This question has sparked a lot of debate.

▢️We* work through the why, when, and how
▢️We discuss different phases of methodological research to clarify where preregistration might (or might not) add value

πŸ“ Preprint: doi.org/10.31234/osf...

04.02.2026 10:40 β€” πŸ‘ 37    πŸ” 13    πŸ’¬ 1    πŸ“Œ 0

πŸ“’ Finally it is out! Celebrating 40 years of ISSP and what exciting research can be done with this great data.

04.02.2026 20:10 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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Broken link?

04.02.2026 20:08 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Are female economists treated differently than males in academic seminars?

These authors wanted to know whether gender shapes how scholars are treated when presenting research.

So they built a massive dataset of 2,000+ economics seminars, job talks, and conference presentations from 2019–2023...

03.02.2026 20:54 β€” πŸ‘ 407    πŸ” 190    πŸ’¬ 9    πŸ“Œ 39
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Registration is now open! πŸ“’
Join us for the Science:TBD Symposium β€” a space for exchange and discussion around emerging questions that resonate beyond disciplinary boundaries.
πŸ“ 3 & 4 March 2026, Leipzig
πŸ“ Register now: www.idiv.de/science-tbd

#Science #Biodiversity #Symposium #ResearchCommunity

27.01.2026 14:38 β€” πŸ‘ 3    πŸ” 4    πŸ’¬ 0    πŸ“Œ 2
What’s a multiverse good for anyway?

Julia M. Rohrer, Jessica Hullman, and  Andrew Gelman

Multiverse analysis has become a fairly popular approach, as indicated by the present special issue on the matter. Here, we take one step back and ask why one would conduct a multiverse analysis in the first place. We discuss various ways in which a multiverse may be employed – as a tool for reflection and critique, as a persuasive tool, as a serious inferential tool – as well as potential problems that arise depending on the specific purpose. For example, it fails as a persuasive tool when researchers disagree about which variations should be included in the analysis, and it fails as a serious inferential tool when the included analyses do not target a coherent estimand. Then, we take yet another step back and ask what the multiverse discourse has been good for and whether any broader lessons can be drawn. Ultimately, we conclude that the multiverse does remain a valuable tool; however, we urge against taking it too seriously.

What’s a multiverse good for anyway? Julia M. Rohrer, Jessica Hullman, and Andrew Gelman Multiverse analysis has become a fairly popular approach, as indicated by the present special issue on the matter. Here, we take one step back and ask why one would conduct a multiverse analysis in the first place. We discuss various ways in which a multiverse may be employed – as a tool for reflection and critique, as a persuasive tool, as a serious inferential tool – as well as potential problems that arise depending on the specific purpose. For example, it fails as a persuasive tool when researchers disagree about which variations should be included in the analysis, and it fails as a serious inferential tool when the included analyses do not target a coherent estimand. Then, we take yet another step back and ask what the multiverse discourse has been good for and whether any broader lessons can be drawn. Ultimately, we conclude that the multiverse does remain a valuable tool; however, we urge against taking it too seriously.

New preprint! So, what's a multiverse analysis good for anyway?>

With @jessicahullman.bsky.social and @statmodeling.bsky.social

juliarohrer.com/wp-content/u...

04.02.2026 10:24 β€” πŸ‘ 172    πŸ” 52    πŸ’¬ 9    πŸ“Œ 3
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πŸ“’ Call for Hidden Papers & Data on Ingroup Favoritism in Dictator Games

We look for unpublished and hard-to-access experimental studies for our meta-analysis!

Inclusion criteria: no deception, adults, manipulation of group membership of dictator game recipients.

All tips and data very welcome!

04.02.2026 08:38 β€” πŸ‘ 6    πŸ” 12    πŸ’¬ 1    πŸ“Œ 0
Promised Data Unavailable? – I’m Sorry, Ma’am, There’s Nothing We Can Do β€” Meta-Research Center This blogpost has been written by MichΓ¨le Nuijten. MichΓ¨le is an assistant professor of our research group who investigates reproducibility and replicability in psychology. Also, she is the developer ...

I wrote a blog for the Meta-Research Center expressing my infinite frustration about not getting data. What else is new, you might think? Well, I added an extra layer of annoyance directed at the journals who do NOTHING to enforce promised data sharing.

metaresearch.nl/blog/2026/2/...

03.02.2026 15:03 β€” πŸ‘ 56    πŸ” 36    πŸ’¬ 6    πŸ“Œ 4
Demokratiepreis und Wissenschaftspreis verliehen

More details (in German only) about the event that also celebrated the Award for Student Engagement and the Promotion of Democracy:
www.uni-konstanz.de/universitaet...

03.02.2026 08:39 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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🧡 New version of our paper (@bcegerod.bsky.social) is finally online: "How Many is Enough? Sample Size in Staggered Difference-in-Differences Designs"
We show that even well-identified DiD studies are often underpowered; sample sizes needed are surprisingly large
Paper: osf.io/preprints/os... 1/6

03.02.2026 14:46 β€” πŸ‘ 90    πŸ” 40    πŸ’¬ 3    πŸ“Œ 5

Until we as a species can settle on which modifier key we should use to switch between "newline" and "submit" when hitting ↩ I see no future for us

03.02.2026 09:04 β€” πŸ‘ 25    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0

And... we're off

Join us next Spring at the University of Potsdam for the third Applied Causal Graphs workshop: applied-causal-graphs.de

Now that the date and place are set and two of the keynote speakers are fixed, all we need is an abstract from you.

18.12.2025 18:47 β€” πŸ‘ 13    πŸ” 8    πŸ’¬ 1    πŸ“Œ 1

The fact that CRAN now automatically generates DOIs is really great. Trivial to slurp up via Zotero and then cite package authors like they should be.

31.01.2026 22:21 β€” πŸ‘ 146    πŸ” 19    πŸ’¬ 3    πŸ“Œ 0
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I've always appreciated what FreDA offers on women's and men's attitudes toward family processes! @freda-panel.bsky.social #sociology #demography

30.01.2026 11:41 β€” πŸ‘ 10    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
GESIS: MISSY - Thematic Concepts over Time: EU-SILC GESIS Leibniz Institut fΓΌr Sozialwissenschaften

Unbroken link: www.gesis.org/en/missy/mat...

30.01.2026 13:18 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Multidisciplinary Conference β€œSpatial dynamics in refugeesβ€˜ multidimensional integration”LIfBi > Start > Aktuelles & Medien > Veranstaltungen > _info_ Diese Webseite ist die Online-PrΓ€sentation des – Leibniz Institut fΓΌr BildungsverlΓ€ufe

Call for Abstracts: multidisciplinary conference β€œSpatial dynamics in refugees’ multidimensional integration” (Bamberg)
Extended abstracts Submission deadline: 30 April 2026
Submission email: unetra@lifbi.de
Further information: www.lifbi.de/de-de/Start/...

30.01.2026 13:14 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Life Course & Social Stratification Call for Abstracts for the ECSR Thematic Conference Life Course and Social Stratification 23-24 April 2026, University of Trento, Italy The Life Course approach has gained powerful traction across th...

ECSR Thematic Conference "Life Course and Social Stratification", University of Trento (Italy), 23-24 April 2026
Submit your abstract to: csis@unitn.it
Deadline for abstract submissions: 22 February 2026
For full details, please visit the conference website: sites.google.com/unitn.it/ecs...

30.01.2026 13:15 β€” πŸ‘ 6    πŸ” 4    πŸ’¬ 0    πŸ“Œ 0
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#GESISPanel #DBD #Digitalization
Dealing with #AI - Topics from the first wave of data from GESIS Panel.dbd

In the survey, more than 2.000 people were asked: β€œWhat would reassure you about the increasing spread of AI technologies?”

21.01.2026 09:00 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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#DatensatzdesMonats #datasetofmonth #Wissenschaftsbarometer2025 #ScienceBarometer2025

Das Wissenschaftsbarometer untersucht fortlaufend das Interesse, das Informationsverhalten und das Vertrauen der Γ–ffentlichkeit in Wissenschaft und Forschung.

search.gesis.org/res...

29.01.2026 13:00 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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When two years of academic work vanished with a single click After turning off ChatGPT’s β€˜data consent’ option, Marcel Bucher lost the work behind grant applications, teaching materials and publication drafts. Here’s what happened next.

Wow. 🀯

"When two years of academic work vanished with a single click"

www.nature.com/articles/d41...

#science #research #LLM #ChatGPT #AI #academicchatter #academia #openscience #replicability #nature

30.01.2026 13:07 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Doctoral Position in Social Data Science Deadline: 15.02.2026

We are looking for a doctoral researcher to work with us on a supercool project in collaboration with linguists. The deadline is Feb 15th, contact me if you have any questions!

stellen.uni-konstanz.de/jobposting/9...

30.01.2026 12:29 β€” πŸ‘ 7    πŸ” 10    πŸ’¬ 0    πŸ“Œ 0
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Full Professorship (W3) in Machine Learning Deadline: January 31, 2026

We @uni-konstanz.de are hiring a full professor in machine learning for our MSc program in Social and Economic Data Science: stellen.uni-konstanz.de/jobposting/6...

15.12.2025 14:51 β€” πŸ‘ 17    πŸ” 19    πŸ’¬ 0    πŸ“Œ 1
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For absolutely no reason, let me remind people of this banger of a paper by @caroartc.bsky.social

doi.org/10.1016/j.jp...

30.01.2026 10:22 β€” πŸ‘ 177    πŸ” 54    πŸ’¬ 11    πŸ“Œ 4
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My colleague Kevin Munger asked me and a bunch of editors to sit and think through AI and peer review. Our take:

osf.io/9sxnc/files/...

We envision an increased (!) involvement of humans in the evaluation of social science.

28.01.2026 21:59 β€” πŸ‘ 82    πŸ” 32    πŸ’¬ 4    πŸ“Œ 4
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How can the use of different modes of survey data collection introduce bias? An introduction to mode effects using directed acyclic graphs (DAGs) Abstract. Survey data are self-reported data collected directly from respondents by a questionnaire or an interview and are commonly used in epidemiology.

Users of survey data, lovers of DAGs, and general methodological enthusiasts, gather round!

I'm so excited to share this new paper, joint work with my brilliant colleagues @rjsilverwood.bsky.social, @pwgtennant.bsky.social, and Liam Wright.

🧡

28.01.2026 12:12 β€” πŸ‘ 65    πŸ” 28    πŸ’¬ 4    πŸ“Œ 6

@sewenz is following 20 prominent accounts