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          <titl xml:lang="en">2022 Swiss-German Adult Survey: Exploring Social Movements, Attitudes, Wealth Distribution, Gender Dynamics, Environmental Concerns, Language, Stereotypes, and Body Image</titl>
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        <titl xml:lang="en">2022 Swiss-German Adult Survey: Exploring Social Movements, Attitudes, Wealth Distribution, Gender Dynamics, Environmental Concerns, Language, Stereotypes, and Body Image</titl>
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        <AuthEnty xml:lang="en">Ullrich, Johannes
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        <topcClas xml:lang="de">Kulturelle Aktivitäten und kulturelle Teilhabe</topcClas><topcClas xml:lang="en">Cultural activities and participation</topcClas><topcClas xml:lang="fr">Activités culturelles et participation</topcClas><topcClas xml:lang="de">Soziales Verhalten und soziale Einstellungen</topcClas><topcClas xml:lang="en">Social behaviour and attitudes</topcClas><topcClas xml:lang="fr">Attitudes et comportements sociaux</topcClas><topcClas xml:lang="de">Umweltschutz und Naturschutz</topcClas><topcClas xml:lang="en">Environment and conservation</topcClas><topcClas xml:lang="fr">Environnement et conservation</topcClas>
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      <abstract xml:lang="en">This project is a joint effort between different member of the social psychology lab at the university of Zurich. Three separate questionnaires have been prepared in 2020, 2021, 2022 as part of this project. Note that most modules/set of questions as well as participation differ based on the year of data collection. This documentation is for the year 2022. In 2022, we recruited a quota-sample of approximately 1'000 participants from the panel provider Bilendi. The sample is quasi-representative for the German speaking parts of Switzerland in their distributions of age, gender, and state of residence. Each lab member proposed a module of questions with –in some cases– an experimental design. The modules of questions include the following topics: 1.	Identification with different social movements/issues (e.g., LGBTIQ+, women’s rights, pro-environmental). 2.	Ambivalence, self-control, and fatigue. 3.	Attitudes toward environmental protection. 4.	Wealth distribution between different groups (i.e., men and women; poor and rich people). 5.	Opinion toward gendered language. 6.	Accuracy of stereotypes. 7.	Gender inequalities (i.e., focusing on price differences for hairdressers depending on gender). 8.	Self-objectification and body image. It also includes key demographic variables (e.g., nationality, age, gender, sexual orientation, transgender status, children, canton of residence, income, level of education, political orientation). Several sections contain an experimental design (see codebook). The material is available in German and (partially) in English. Robert Tobias, Simone Sebben, and Léïla Eisner deserve credit for doing the major share of work involved in programming of the survey, troubleshooting, and monitoring of the quotas. Léïla Eisner prepared the data for publication.</abstract>
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        <restrctn xml:lang="en">Additional data use purposes: Research purposes, Teaching purposes, Education and training purposes, Other non-commercial purposes</restrctn><restrctn xml:lang="de">Zusätzliche Datennutzungszwecke: Forschungszwecke, Lehrzwecke, Bildungs- und Ausbilundszwecke, Andere nicht-kommerzielle Zwecke</restrctn><restrctn xml:lang="fr">Finalités supplémentaires d’utilisation des données: Fins de recherche, Fins d’enseignement, Fins d’éducation et de formation, Autres fins non commerciales</restrctn><restrctn xml:lang="de">Sondergenehmigung: Keine</restrctn><restrctn xml:lang="en">Special permission: None</restrctn><restrctn xml:lang="fr">Permission spéciale: Aucune</restrctn>
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