Franziska Quoß
@phanxi.bsky.social
440 followers 290 following 7 posts
PostDoc at GESIS Cologne, prev. ETH Zurich. Research on environmental/climate politics & surveys.
Posts Media Videos Starter Packs
Reposted by Franziska Quoß
gesis.org
#survey #germany
The English version of the #ALLBUS 2023 is now published. New in '23: attitudes towards #climate change
Younger respondents are more likely to attribute climate change to human causes, whereas older ones tend to assume that natural processes and human causes have an equal influence.
Reposted by Franziska Quoß
klaramueller.bsky.social
🚨 Excited to see my first solo-authored paper now published in IJPOR! 🚨

Do election outcomes affect participation in post-election surveys? And specifically, do election winners respond more than losers? The short answer: not really.

The slightly longer answer: 🧵👇

academic.oup.com/ijpor/articl...
Survey Nonresponse After Elections: Investigating the Role of Winner-Loser Effects in Panel Attrition
Abstract. When and for whom do election outcomes drive survey nonresponse? This paper investigates whether belonging to the winners or losers of an electio
academic.oup.com
Reposted by Franziska Quoß
gesis.org
#allbus #umfrage #deutschland
Die 2023er ALLBUS-Daten sind vollständig veröffentlicht. Das Schwerpunktthema ist #Religion und #Weltanschauung.
Auf Vorschlag von Petra-Angela Ahrens wurden die Gründe für einen #Kirchenaustritt abgefragt.
Reposted by Franziska Quoß
emppolitikwiss.bsky.social
🚨 New blog post online!
 What do missing schools, closed hospitals, or long trips to the nearest train station reveal about trust in government? (1/3)
Reposted by Franziska Quoß
mtplk.bsky.social
concluding my summer tour of Germany at the @gesistraining.bsky.social summer school to (finally!) learn about conjoints from @phanxi.bsky.social and @lukrudolph.bsky.social
🤓
Reposted by Franziska Quoß
alexiakatsanidou.bsky.social
We invite paper submissions to our workshop on Earth Observation Data in the Social Sciences @gesis.org
⏳November 26-28, 2025
🎓Keynotes Prof. Dr. Monika Kuffer (University of Twente)
Dr. Ana Andries (University of Surrey).
⏱️Deadline August 6th
✉️abstracts (max. 500 words) to [email protected]
Reposted by Franziska Quoß
edhawkins.org
Wherever you live in the world, your climate is getting warmer.

21st June is #ShowYourStripes day when we encourage everyone to use the warming stripes graphics to talk about climate change and how we are all already experiencing the consequences.

Download your stripes: www.ShowYourStripes.info
Reposted by Franziska Quoß
dandekadt.bsky.social
🚨 “Good Description” with @annagbusse.bsky.social 🚨

What sets 'good' description apart from 'mere' description?

We develop a framework for evaluating descriptive research, whether we are doing it as scholars or assessing it as readers.

Two main contributions...

🔗📄 tinyurl.com/gooddesc
good_description/good_description_ddk_agb.pdf at main · ddekadt/good_description
Homepage of "Good Description" by Daniel de Kadt & Anna Grzymala-Busse - ddekadt/good_description
tinyurl.com
Reposted by Franziska Quoß
gesistraining.bsky.social
Need causal insights into how people make decisions? Conjoint survey experiments let you unpack complex choices in realistic settings. Learn to design, implement, and analyze them in our #GESISsummerschool course with @phanxi.bsky.social & Lukas Rudolph.

Book Now ➡️ t1p.de/GSS25-C6
GESIS Summer School in Survey Methodolgy 
Introduction to Conjoint Survey Experiments
04 to 08 August | Cologne 
Franziska Quoß (GESIS) & Lukas Rudolph (University of Konstanz)
Reposted by Franziska Quoß
bobkopp.net
There’s so much happening right now, I thought I’d put together a running thread on the dismantling of #climate and research and knowledge infrastructure in the United States 🧵
Reposted by Franziska Quoß
sophiahunger.bsky.social
🚨 Join us for the next edition Summer School for Women* in Political Methodology in Bremen 🚨

Open to PhD students and early career scholars Fully-funded places available for applicants, deadline 1st of May 📅 summerschoolwpm.org
Image of a building of the University of Bremen with the text "Summer School for Women in Political Methodology" and "20 to 26 July at the University of Bremen" writen on it.
Reposted by Franziska Quoß
annalombardi.bsky.social
The European State of the Climate 2024 report is OUT!
A joint effort by @copernicusecmwf.bsky.social & @wmo-global.bsky.social

Read it & explore all additional resources which include a Graphics gallery, infographics, animations! Enjoy 😊 climate.copernicus.eu/esotc/2024
#dataviz #climate #ESOTC2024
Reposted by Franziska Quoß
ackermannk.bsky.social
📣 Call for Submissions: ALLBUS Award 2025 🏆

Have you published a social science article using ALLBUS data in a journal or edited volume between 2022 and 2024? Please consider submitting it by 15 April 2025 ⭐

👉 More information: www.gesis.org/en/allbus/ab...

@gesis.org
ALLBUS Award 2025 – Information & Application | GESIS
Find out all about the ALLBUS Award 2025: application process, criteria & recognition for outstanding research using ALLBUS data. Learn more at GESIS!
www.gesis.org
Reposted by Franziska Quoß
ruettenauer.bsky.social
Happy to be teaching #Geodata and #SpatialRegressionAnalysis 🌍📉 this year again @gesistraining.bsky.social!!

🧑‍💻Join us 09-11 July in Mannheim (link below).

For materials from previous years see: ruettenauer.github.io/Geodata_Spat...
Reposted by Franziska Quoß
gesistraining.bsky.social
Thinking about getting started with R? 💡📊
Then let Dennis and @phanxi.bsky.social introduce you to the wonderful world of R at our #GESISsummerschool! Learn to wrangle, analyze, and visualize data in R like a pro.

More info & registration ➡️ t1p.de/GSS25-SCA

#Rstats
Summer School in Survey Methodolgy 2025
Introduction to R for Data Analysis
23 to 24 July 2025 in Cologne
Dennis Abel & Franziska Quoß (both GESIS)
Reposted by Franziska Quoß
alexiakatsanidou.bsky.social
Are you planning a Horizon Europe proposal? If you need some methodological innovation with earth observation data (eg. satelites) linked with survey data by geolocation at GESIS we have a great team that can support that dealing with all kinds of sociological and political science questions.
Reposted by Franziska Quoß
adrien-fabre.bsky.social
🤩🤩 Paper finally out in the AER!

With my co-authors (incl. @bluebery-planterose.com & @s-stantcheva.bsky.social) we surveyed climate attitudes in 20 countries covering 72% of global emissions.

In brief, people want ambitious, global, and fair climate policies. A 🧵⬇️

www.aeaweb.org/articles?id=...
phanxi.bsky.social
🛠️ To improve the reliability of applied natural/quasi-experimental work, we provide a checklist. Key steps include pre-registering measurement choices, exploring a range of operationalizations, and testing for what we call vertical and horizontal observable implications.
Intermediate steps between direct personal experience of extreme weather and 
a potential effect on political attitudes. We propose to take vertical (step 1 – step 3) and horizontal (alternative political attitudes) implications into account. Vertical steps include: perception of extreme weather, attribution to climate change, emotional relation and willingness to act, and political attitudes. Horizontal implications of political attitudes include: green party identification, most important problem: environment, climate policy attitudes, green candidates locally, green candidates nationally.
phanxi.bsky.social
📈 This leads to vast, mostly invisible, researcher degrees of freedom. These matter for applied research: we show for the case of extreme weather that a broad picture from many operationalizations indicates robust null effects, while singular measures could support positive or negative relations.
Effects of 34 different operationalizations of extreme weather (rows) on climate policy preferences (additive index, higher values indicate a preference for stricter policies. Each dot is the regression coefficient for extreme weather from one specification. Corresponding column markers link to the operationalization. The coefficients are arranged in ascending order. Error bars represent 95 and 90% confidence intervals. Blue circles (and unfilled squares) indicate significance at the 5% level. ‘Magnitude’ shows the effect of a jump from the 25% to the 75% percentile in the independent (weather) variable on the standardized within-individual variance of the dependent variable. Arrows point to the two operationalizations visualized in Figure 4. Individual effects include significantly negative, null and significantly positive effects.
phanxi.bsky.social
🔍 We identify a wide range of potential/applied operationalizations in 3 exemplary literatures drawing on external shocks: extreme weather, immigration, commodity prizes. This is due to two features relevant to many other natural/quasi-experiments: lacking theory + reliance on threshold decisions.
Options for operationalizations used in prior literature. This overview builds on the operationalizations summarized in current reviews (Howe et al. 2019; Sisco 2021), extended by a literature search. We do not suggest having surveyed all prior studies relating weather to public opinion but show a lower bound for the wide variety of operationalizations used. Based on potential combinations, we can conceive at least 280 different operationalizations of extreme weather (events).
phanxi.bsky.social
📢 Our latest research (with L. Rudolph, @uni-konstanz.de) on operationalizing natural experiments, particularly extreme weather, has just been accepted @thejop.bsky.social 🌦️Natural experiments offer a unique way to analyze causal effects in real-world settings. But operationalization is often messy:
Reposted by Franziska Quoß
glen-study.bsky.social
Call for Submissions – GLEN Open Modules

You can now submit proposals for modules to the GLEN study and contribute to environmental and social science research.

Submission details: glen-studie.de/en/offene-mo...
#EnvironmentalResearch #SurveyResearch #SocialScience
Offene Module – GLEN Studie
glen-studie.de
Reposted by Franziska Quoß
verenakunz.bsky.social
The GESIS AppKit is live 🐿️⬇️ If you directly want to get started with planning & conducting your own mobile, intensive-longitudinal data collection with smartphones, consider our upcoming hands-on workshop (31/03-02/04) with @lukotto.bsky.social. More infos & registration at tinyurl.com/mobiledata25.