#Datenqualität #Sozialforschung #LGBTIQData
🚨 Methodische Brüche im #Mikrozensus
Seit 2020 ist die Zahl gleichgeschlechtlicher Partnerschaften in den Daten stark gestiegen – allerdings nicht durch gesellschaftliche Veränderungen, sondern durch veränderte Erhebungsverfahren.
Posts by Chia-Jung Tsai
The first research project where I am PI, “Responsible use of Artificial Intelligence in government agencies”, was selected by the Vrije Universiteit Amsterdam to seek sponsorship!
Everything is in Dutch, but it can be translated with the Google translate plugin.
Today, the ERC formally adopted a decision to increase its support for researchers moving to Europe.
On top of its normal grants, the ERC offers 'start-up' funding to help PIs establish laboratories / research teams in Europe.
This extra funding is now x2 (up to €2 million!)
europa.eu/!6Vdgmp
Fast jede zweite Person sieht Rassismus als ein Phänomen, das den Alltag und die gesell-schaftlichen Institutionen prägt. Mehr als 80 % der Befragten sagen, dass es in zentralen Lebensbereichen wie Schule, Arbeit und Wohnen Rassismus gibt.
Ein Fünftel der Gesamtbevölkerung (22 %) gibt an, selbst schon einmal Rassismus erfahren zu haben. Direkt betroffen sind rassistisch markierte Personen wie Schwarze Menschen, Jüdinnen und Juden, Muslim*innen, Sinti*zze und Rom*nja.
📊 Wie verbreitet ist #Rassismus in Deutschland? NaDiRa-Studie „Rassistische Realitäten“ zeigt: 90 % der Befragten erkennen Rassismus in Deutschland als Realität an #aktionswochegegenrassismus
Zu den Ergebnissen: www.rassismusmonitor.de/publikatione...
The new version of PreReg is now available via: https://prereg-psych.org
🌟 We have launched our preregistration platform PreReg! 🌟
PreReg guides researchers through all the steps of pre-registration and now offers an even clearer structure.
#Preregistration #OpenScience #Psychology
leibniz-psychology.org/en/news/deta...
Since a couple of people were interested in my presentation on "The use of error frameworks for identifying and dealing with potential sources of error in the social and behavioral sciences" at the 7th Perspectives on Scientific Error Workshop, I have made the slides available here: rrr.is/error
In case you are unable to join the online tribute honoring the life and contributions to sociology of Michael Burawoy today, Feb. 8, at noon (12 pm Eastern), you can watch the recording on the ISA YouTube channel afterward https://bit.ly/414VbLC
RIP 😢
📢Calling all aspiring demographers! Apply for next year’s EDSD here: eaps.nl/edsd/how-to-... and join us in Paris at INED! Deadline March 25 at noon
“Childbearing of Immigrants Who Arrived as Children”: Ben Wilson conducts “dynamic analyses of adaptation over the childbearing life course w/ tests of childhood socialization” & finds that age at arrival is important, esp. for inds. from higher fertility origins. read.dukeupress.edu/demography/a...
Wirtschaft, Migration, Vertrauen in die Politik, Klimawandel & Rechtsextremismus. DeZIM-Studie zeigt: Das sind die drängendsten politischen Probleme von Menschen mit und ohne Migrationshintergrund.
📣 Welche politischen Probleme beschäftigen Menschen mit und ohne Migrationshintergrund in Deutschland? Neue DeZIM-Studie zeigt: Wirtschaft, Migration und Vertrauen in die Politik belasten beide Gruppen.
Alle Ergebnisse auf einen Blick ➡️ www.dezim-institut.de/aktuelles/wi...
Abstract of the paper "Emergent Numeracy: How the Crowd Wisdom of Non-Rounding Survey Respondents Generates Accurate Immigration Estimates": Survey respondents overestimate, on average, the number of immigrants living in their country. This phenomenon, known as immigration innumeracy, seems incompatible with the wisdomof- crowds effect, which suggests that large samples of individuals should, as a collectivity, be good at estimating such figures. However, this article reveals that crowd wisdom does emerge in a previously overlooked subgroup: non-rounding respondents. Drawing on German and European survey data, it is shown that when round estimates (5, 10, 15, …) are excluded, a subset of “wise” non-rounding respondents remains, who collectively estimate the share of foreigners in their country with astounding precision. Thus, a relevant—and easily identifiable— part of the population is actually collectively immigration numerate. Two potential mechanisms behind this emergent phenomenon are explored. First, regression models reveal that non-rounders are more educated and politically interested than rounders, indicating more informed guesses. Second, simulations show that the coarse-grained nature of round numbers itself can contribute to inaccurate estimates. Using round numbers is thus associated with uncertainty, resulting in biased estimates. Taking the crowd wisdom of non-rounding respondents into account qualifies the extent of immigration innumeracy and improves our understanding of a phenomenon that is often seen as a root cause of xenophobia.
Graph that shows that rounding survey responents on average over-estimate the share of foreigners living in Eastern Germany, whereas non-rounding survey respondents are collectively very close to the official value.
Graph that reveals based on simulated data that the coarse-grained nature of round values contributes to the imprecision of round estimates.
Graph from the supplementary material that shows based on international ESS data that across countries in Europe the same pattern holds: rounders overestimate the share of migrants, non-rounders are close to the offical value on average.
People usually overestimate the share of immigrants in their country.
However, in this new #openaccess paper, I show that survey respondents who do not use round numbers like 10% or 20% in their guesses collectively estimate the share with astounding precision. #crowdwisdom
doi.org/10.1177/0001...
🚨Job Offer🚨PhD Studentship in Social Statistics with focus on Digital & Computational Demography: 3.5-year @official-uom.bsky.social doctoral studentship in Social Statistics. The studentship is jointly funded by the University of Manchester and @mpidr.bsky.social.
www.demogr.mpg.de/en/career_61...
#wahlforschung
Neuer Beitrag im #GESISBlog: Dr. Manuela Blumenberg führt aus, wie die GLES (German Longitudinal Election Study) die vorgezogene Bundestagswahl begleitet. Der Beitrag zeigt, wie das Design der GLES 2025 zur #BTW2025 aussieht.
blog.gesis.org/wahl-...
#bundestagswahl #federalelection
The GLES Tracking is the fourth in our series of GLES surveys for #BTW2025📣
Online cross-sectional surveys of around 1,500 respondents with questions on voting intentions, political attitudes, and political issues 🎊
More information: www.gesis.org/en/gle...
Sciences Po is hiring an Assistant Professor on Digital Inequalities. Candidates should have strong theoretical/methodological skills, and an ambitious research agenda on social stratification and inequality. www.sciencespo.fr/osc/sites/sc...