Richard Nennstiel
@nennstielr.bsky.social
Sociologist
Post-doc at University of Bern
Interested in social mobility, school-to-work transitions, administrative data
richardnennstiel.com
Post-doc at University of Bern
Interested in social mobility, school-to-work transitions, administrative data
richardnennstiel.com
📊 We use Eurobarometer 544 data from @gesis.org and the EU Gender Equality Index data from @eurights.bsky.social / EIGE to dig into consent perceptions across 25,824 respondents in the EU 🇪🇺.
👉 doi.org/10.1177/23780231251351676
👉 doi.org/10.1177/23780231251351676
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doi.org
July 10, 2025 at 11:51 AM
📊 We use Eurobarometer 544 data from @gesis.org and the EU Gender Equality Index data from @eurights.bsky.social / EIGE to dig into consent perceptions across 25,824 respondents in the EU 🇪🇺.
👉 doi.org/10.1177/23780231251351676
👉 doi.org/10.1177/23780231251351676
Women consistently reject this myth more than men — but in countries with higher gender equality and “only yes means yes” consent laws, these gender gaps are smaller.
Published in @sociusjournal.bsky.social @asanews.bsky.social
👉 doi.org/10.1177/23780231251351676
Published in @sociusjournal.bsky.social @asanews.bsky.social
👉 doi.org/10.1177/23780231251351676
July 10, 2025 at 11:51 AM
Women consistently reject this myth more than men — but in countries with higher gender equality and “only yes means yes” consent laws, these gender gaps are smaller.
Published in @sociusjournal.bsky.social @asanews.bsky.social
👉 doi.org/10.1177/23780231251351676
Published in @sociusjournal.bsky.social @asanews.bsky.social
👉 doi.org/10.1177/23780231251351676
📊 Using ÜGK data from Switzerland
📄Published in ERVET (@springernature.com @sbfi.admin.ch )
w/ @tamaragutfleisch.bsky.social (@mzesunimannheim.bsky.social)
👉 doi.org/10.1186/s40461-025-00187-3
📄Published in ERVET (@springernature.com @sbfi.admin.ch )
w/ @tamaragutfleisch.bsky.social (@mzesunimannheim.bsky.social)
👉 doi.org/10.1186/s40461-025-00187-3
Bridging the gap: gender-specific preferences in STEM occupations in vocational education and training - Empirical Research in Vocational Education and Training
Women’s underrepresentation in science, technology, engineering, and mathematics (STEM) has been widely studied, particularly in the context of general and tertiary education. However, less is known a...
doi.org
July 2, 2025 at 12:28 PM
📊 Using ÜGK data from Switzerland
📄Published in ERVET (@springernature.com @sbfi.admin.ch )
w/ @tamaragutfleisch.bsky.social (@mzesunimannheim.bsky.social)
👉 doi.org/10.1186/s40461-025-00187-3
📄Published in ERVET (@springernature.com @sbfi.admin.ch )
w/ @tamaragutfleisch.bsky.social (@mzesunimannheim.bsky.social)
👉 doi.org/10.1186/s40461-025-00187-3
Women are less likely to pursue STEM in VET than men — with a gender gap of 48 percentage points (!) among those choosing VET occupations.
Existing explanations (achievement, values, self-concept) help explain gender gaps better for academic routes than for VET.
👉 doi.org/10.1186/s40461-025-00187-3
Existing explanations (achievement, values, self-concept) help explain gender gaps better for academic routes than for VET.
👉 doi.org/10.1186/s40461-025-00187-3
Bridging the gap: gender-specific preferences in STEM occupations in vocational education and training - Empirical Research in Vocational Education and Training
Women’s underrepresentation in science, technology, engineering, and mathematics (STEM) has been widely studied, particularly in the context of general and tertiary education. However, less is known a...
doi.org
July 2, 2025 at 12:28 PM
Women are less likely to pursue STEM in VET than men — with a gender gap of 48 percentage points (!) among those choosing VET occupations.
Existing explanations (achievement, values, self-concept) help explain gender gaps better for academic routes than for VET.
👉 doi.org/10.1186/s40461-025-00187-3
Existing explanations (achievement, values, self-concept) help explain gender gaps better for academic routes than for VET.
👉 doi.org/10.1186/s40461-025-00187-3
Published in Research in Social Stratification and Mobility (RSSM), Special Issue “The Growing Gender Divide in Educational Credentials: Trends, Causes and Consequences” edited by Claudia Buchmann.
Findings highlight persistent gendered penalties despite educational gains.
👉 doi.org/10.1016/j.rs...
Findings highlight persistent gendered penalties despite educational gains.
👉 doi.org/10.1016/j.rs...
Redirecting
doi.org
July 1, 2025 at 11:50 AM
Published in Research in Social Stratification and Mobility (RSSM), Special Issue “The Growing Gender Divide in Educational Credentials: Trends, Causes and Consequences” edited by Claudia Buchmann.
Findings highlight persistent gendered penalties despite educational gains.
👉 doi.org/10.1016/j.rs...
Findings highlight persistent gendered penalties despite educational gains.
👉 doi.org/10.1016/j.rs...
We use Swiss census data (1970–2000) and structural surveys (2011–2020) from @statdatach.bsky.social to study how equal educational credentials translate into unequal labor market outcomes for women and men. 🇨🇭
👉 doi.org/10.1016/j.rs...
👉 doi.org/10.1016/j.rs...
Redirecting
doi.org
July 1, 2025 at 11:50 AM
We use Swiss census data (1970–2000) and structural surveys (2011–2020) from @statdatach.bsky.social to study how equal educational credentials translate into unequal labor market outcomes for women and men. 🇨🇭
👉 doi.org/10.1016/j.rs...
👉 doi.org/10.1016/j.rs...
Thank you! It is political ideology (measured by left-right self-placement)
June 17, 2025 at 3:40 PM
Thank you! It is political ideology (measured by left-right self-placement)
Based on over 466k respondents aged 20–29 from:
📊 #Eurobarometer surveys
📊 @ess-survey.bsky.social (European Social Survey)
We used APC models + trend graphs to unpack youth gender gaps in political ideology across Europe.
More details here 👉 doi.org/10.1093/esr/...
@europeansocreview.bsky.social
📊 #Eurobarometer surveys
📊 @ess-survey.bsky.social (European Social Survey)
We used APC models + trend graphs to unpack youth gender gaps in political ideology across Europe.
More details here 👉 doi.org/10.1093/esr/...
@europeansocreview.bsky.social
June 16, 2025 at 12:02 PM
Based on over 466k respondents aged 20–29 from:
📊 #Eurobarometer surveys
📊 @ess-survey.bsky.social (European Social Survey)
We used APC models + trend graphs to unpack youth gender gaps in political ideology across Europe.
More details here 👉 doi.org/10.1093/esr/...
@europeansocreview.bsky.social
📊 #Eurobarometer surveys
📊 @ess-survey.bsky.social (European Social Survey)
We used APC models + trend graphs to unpack youth gender gaps in political ideology across Europe.
More details here 👉 doi.org/10.1093/esr/...
@europeansocreview.bsky.social