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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
- Research data
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Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
Date(s) of Data Collection: 09.2022 - 09.2024
GESIS, Cologne. ZA8925 Data file Version 1.0.0, https://doi.org/10.4232/1.14496
GESIS, Cologne. ZA8925 Data file Version 1.0.0, https://doi.org/10.4232/1.14496
Abstract: The study on the influence of science blogs and podcasts on knowledge transfer was conducted by GESIS - Leibniz Institute for the Social Sciences. The basic population co ... more
Abstract: The study on the influence of science blogs and podcasts on knowledge transfer was conducted by GESIS - Leibniz Institute for the Social Sciences. The basic population co ... more
Content: Web research (variables from upstream web-based research): Medium (blog, podcast); type of institution of the blog/podcast (university, college, non-university research institution); start year of the first blog post/podcast episode.
Survey (variables from online survey): Overall concept for the production of the blog/podcast; content defined in the overall concept (e.g. thematic focus, unique selling point, objectives, etc.); alignment of the overall concept for the blog/podcast) with a cross-organizational strategy (transfer concept); discipline (humanities and social sciences, life sciences, natural sciences, engineering sciences); assignment of the blog to other sub-disciplines; subject of the respective discipline where the blog is typically located; use of search engine optimization methods (e.g. keywords for the blog). e.g. keywords) for the blog/web presence of the podcast; target group of the blog/podcast (actors of the science system, public, political actors, practitioners (e.g. teachers), economic actors, students, others); specific target groups in the public sphere; objectives of the blog/podcast (e.g. insight into research processes, research topics, increasing visibility, etc.); frequency of publication of new blog posts/new podcast episodes; size of the core team of the blog/podcast; paid working hours in blog production of the core team; type of financial resources for the blog/podcast (e.g. budget funds, third-party funds, advertising funds, donations, etc.); production partnerships (e.g. with research institutions, infrastructure facilities, etc.); creation of the blog/podcast as part of an external or internal scientific cooperation; participation channels for readers, podcasters, etc. ); production partnerships (e.g. with research institutions, infrastructure facilities); creation of the blog/podcast as part of an external or internal academic cooperation; participation channels for readers and listeners; media for information about the blog/podcast (e.g. social media, newsletters, printed matter, etc.); evaluation of the blog/podcast.
Demography: Activity at an academic institution; field of activity; academic career stage.
Performance survey (variables from performance analysis): Total number of blog posts/ podcast episodes; average number of words of blog posts or duration of podcast episodes in 2023; reach: number of page views of the blog or plays of the podcast in 2023.
Social media survey (manual): Number of followers on social media;
Social media survey (automated): Interaction rate of posts from the provider´s own accounts on social platforms; Interaction rate of posts from institutional accounts on social platforms; Network: Number of accounts that post links to the blog/podcast on social platforms; Ratings of podcasts on streaming platforms.
Date(s) of Data Collection: 09.2022 - 09.2024
Geographic coverage: Germany (DE)
Universe: Blogs and podcasts from German state universities, colleges and research institutions
Number of Units: 268
Sampling Procedure: • Total universe/Complete enumeration;
Temporal Research Design: Cross-section, Longitudinal
Analysis Unit: Media unit
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI)
• Automated data extraction
• Automated data extraction: API query
• Automated data extraction: Web scraping
• Content coding;
Web research: Web research via website search functions and Google, manual coding
Survey: standardized online survey
Performance survey: standardized online survey
Social media survey (manual): Online-based research
Social media collection (automated): zeeschuimer for data from X and CrowdTangle for data from Facebook/Instagram;
SPOTIFY Collection (automated): Spotify API
Rating survey (manual): Online-based research
Word count survey (manual): Online-based research
Data Collector: GESIS – Leibniz-Institut für Sozialwissenschaften
Analysis System(s): Excel
Kind of Data: Numeric
Number of Variables: 185
Principal Investigator/ Authoring Entity, Institution: Kuhle, Birte - GESIS – Leibniz-Institut für Sozialwissenschaften, Voigt, Charmaine - GESIS – Leibniz-Institut für Sozialwissenschaften, Repke, Lydia - GESIS – Leibniz-Institut für Sozialwissenschaften, Breuer, Johannes - GESIS – Leibniz-Institut für Sozialwissenschaften
Publication year: 2025
DOI: 10.4232/1.14496
Study number: ZA8925
Publisher: GESIS
Current Version: 1.0.0, 2025-02-26, https://doi.org/10.4232/1.14496
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2025-02-26 first archive edition (current version) https://doi.org/10.4232/1.14496 |
Publications: GESIS Leibniz-Institut für Sozialwissenschaften: Wi4impact: Einfluss von Wissenschaftsblogs und -podcasts auf Wissenstransfer – Codebuch, GESIS Leibniz-Institut für Sozialwissenschaften: Wi4impact: Einfluss von Wissenschaftsblogs und -podcasts auf Wissenstransfer – Methodik
Study group: GESIS Community Data
Date(s) of Data Collection: 02.03.2023 - 18.03.2023
GESIS, Cologne. ZA7940 Data file Version 1.0.0, https://doi.org/10.4232/1.14182
GESIS, Cologne. ZA7940 Data file Version 1.0.0, https://doi.org/10.4232/1.14182
Abstract: The study on political information behaviour and dealing with disinformation was conducted by Infratest dimap on behalf of the Press and Information Office of the Federal ... more
Abstract: The study on political information behaviour and dealing with disinformation was conducted by Infratest dimap on behalf of the Press and Information Office of the Federal ... more
Content: 1. Political information behaviour: interest in politics; informedness about political issues; frequency of use of different media and information sources for information on political issues.
2. Role of social media for political information behaviour: use of social networks on the internet; frequency of use of various social networks (TikTok, Instagram, YouTube, Facebook, Twitter, Mastodon); followed news on political issues on the aforementioned social networks; use of messenger services on the smartphone; frequency of use of various messenger services (WhatsApp, Snapchat, Signal, Telegram, Facebook Messenger, other messenger services); followed news on political issues on the aforementioned messenger services.
3. Touchpoints with political information: frequency of everyday political communication on different occasions (at work, at school or university, in personal conversations with friends, in the family, when using social networks on the internet, in leisure time/hobbies); importance of different sources of information for forming one´s own political opinion (news and information from journalists, information on the internet from celebrities or ordinary people, speeches and contributions from politicians, opinions from family members, friends and acquaintances, information from the federal government).
4. Credibility of information sources: credibility of the aforementioned political information sources.
5. Communication of the federal government: perception and use of various information offers of the federal government (internet pages of the federal government, on the pages of the federal government in social media, in brochures or magazines of the federal government, on posters of the federal government, from interviews of government politicians on television, in newspapers or on the internet); satisfaction with the information offer of the federal government (overall rating); reasons for dissatisfaction with the information offer of the federal government (open).
6. Dealing with disinformation: own reaction to assumed fake news (I ignore the information, I look for other sources and media reports to verify the information, I ask others what they think, I try to find out whether the source of information can be trusted in principle).
7. Danger of disinformation: agreeing with statements on the subject of fake news (with the abundance of information, one no longer knows what to believe, I am worried that I myself could fall for false or misleading news, I fear that others will be influenced by false or misleading news); desire for more information on fake news from the following places: from the media, from the federal government, from bloggers who deal with it, from operators of social networks on the internet, from schools and universities, no information on this desired); personal contact with fake news via messenger services; sources of fake news via messenger services (relatives, family, friends, acquaintances, celebrities or influencers, unknown persons).
8. Satisfaction with democracy, party sympathy.
Demography: age; age groups; sex; household size; number of children in the household under 14; highest educational attainment; educational attainment sought; migrant background of respondent; migrant background of parents; net household income (classified); employment; internet use.
Additionally coded were: interview number; district; city size (political municipality size); weighting factor.
Date(s) of Data Collection: 02.03.2023 - 18.03.2023
Geographic coverage: Germany (DE)
Universe: German-speaking population aged 14 and over
Number of Units: 1505
Sampling Procedure: • Probability: Multistage
• Probability: Stratified;
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI)
• Self-administered questionnaire: Web-based (CAWI);
The sample for the telephone survey was drawn from the ADM telephone sampling frame and takes into account landline and mobile numbers (dual frame sample). The sample for the web-based survey was drawn via stratified random sampling from an online access panel.
Data Collector: infratest dimap, Berlin
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 104
Notes: The study was commissioned by the Federal Press Office.
Principal Investigator/ Authoring Entity, Institution: Presse- und Informationsamt der Bundesregierung -
Publication year: 2023
DOI: 10.4232/1.14182
Study number: ZA7940
Publisher: GESIS
Research data center: FDZ Wahlen bei GESIS
External links: Federal Press Office
Current Version: 1.0.0, 2023-09-30, https://doi.org/10.4232/1.14182
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-09-30 first archive edition (current version) https://doi.org/10.4232/1.14182 |
Publications: infratest dimap: Politisches Informationsverhalten und Desinformation 2023 - Studieninformation.
Berlin: infratest dimap 2023, infratest dimap: Politisches Informationsverhalten und Desinformation 2023 : Eine Studie von infratest dimap im Auftrag des Presse- und Informationsamts der Bundesregierung - Tabellenbericht.
Berlin: infratest dimap 2023
Study group: Surveys commissioned by the Press and Information Office of the Federal Government, GESIS Community Data
European Commission, Brussels; Directorate General Communication, COMM.A.3 ‘Media Monitoring and Eurobarometer’; European Parliament, Directorate-General for Communication, Public Opinion Monitoring Unit
Date(s) of Data Collection: 02.03.2023 - 26.03.2023
GESIS, Cologne. ZA7954 Data file Version 1.0.0, https://doi.org/10.4232/1.14142
GESIS, Cologne. ZA7954 Data file Version 1.0.0, https://doi.org/10.4232/1.14142
Other Title (type): European Parliament Spring Survey 2023, The Digital Decade, and Attitudes of Europeans towards Animal Welfare (Original Title)
Topics: POLITICS, International politics and organisations, Information society, Agriculture and rural industry, Consumption and consumer behaviour, Plants and animals
Date(s) of Data Collection: 02.03.2023 - 26.03.2023
Geographic coverage: Austria (AT), Belgium (BE), Bulgaria (BG), Cyprus (CY), Czech Republic (CZ), Germany (DE), Denmark (DK), Estonia (EE), Spain (ES), Finland (FI), France (FR), Greece (GR), Croatia (HR), Hungary (HU), Ireland (IE), Italy (IT), Lithuania (LT), Luxembourg (LU), Latvia (LV), Malta (MT), Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Sweden (SE), Slovenia (SI), Slovakia (SK)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 27 Member States and aged 15 years and over.
Number of Units: 26368
Sampling Procedure: • Probability: Multistage;
Please consult the additional information in the Technical Specifications in the basic questionnaire.
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview: Computer-assisted (CAPI/CAMI)
• Web-based interview;
Please consult the additional information in the Technical Specifications in the basic questionnaire.
Data Collector: Mobiel Centre Market Research, Almere, Belgium;
Kantar TNS BBSS, Sofia, Bulgaria;
STEM/MARK, Prague, Czech Republic;
Mantle Denmark (Kantar Public), Copenhagen, Denmark;
Mantle Germany (Kantar Public), Munich, Germany;
Norstat Eesti, Tallinn, Estonia;
B and A Research, Dublin, Ireland;
Kantar Greece, Athens, Greece;
Mantle Spain (Kantar Public), Madrid, Spain;
ESP - Leaderfield, Paris, France;
Testpoint Italia, Milan, Italy;
CYMAR Market Research, Nicosia, Cyprus;
Kantar TNS Latvia, Riga, Latvia;
Norstat LT, Vilnius, Lithuania;
TNS Ilres, Bertrange, Luxembourg;
Kantar Hoffmann Kft, Budapest, Hungary;
MISCO International, Valletta, Malta;
Kantar Netherlands, Amsterdam, Netherlands;
Das Österreichische Gallup Institut, Vienna, Austria;
Research Collective, Warsaw, Poland;
Marktest – Marketing, Organização e Formação, Lisbon, Portugal;
Centrul Pentru Studierea Opiniei si Pietei CSOP, Bucharest, Romania;
Mediana DOO, Ljubljana, Slovenia;
MNFORCE, Bratislava, Slovakia;
Taloustutkimus Oy, Helsinki, Finland;
Mantle Sweden (Kantar Public), Stockholm and Gothenburg, Sweden;
HENDAL, Zagreb, Croatia;
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 482
Notes: Question module QA “European Parliament Spring Survey 2023” partly replicates questions asked in the context of Eurobarometer 97.3 (ZA7888).
Question module QB “The Digital Decade” was newly introduced.
Question module QC “Attitudes of Europeans towards Animal Welfare” partly replicates questions asked in the context of Eurobarometer 84.4 (ZA6644).
Data for protocol variables p8 (postal code), p9 (sample point number), and p10 (interviewer number) have not been made available.
The variable names of the standard demography variables have been changed according to the usual Eurobarometer nomenclature.
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels; Directorate General Communication, COMM.A.3 ‘Media Monitoring and Eurobarometer’ - , European Parliament, Directorate-General for Communication, Public Opinion Monitoring Unit -
Publication year: 2025
DOI: 10.4232/1.14142
Study number: ZA7954
Publisher: GESIS
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2025-02-26, https://doi.org/10.4232/1.14142
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2025-02-26 Pre-Release (current version) https://doi.org/10.4232/1.14142 |
Publications: European Parliament:
European Parliament Eurobarometer Spring Survey 2023 (EB 99.1): Democracy in action. One year before the European elections. Conducted by Kantar Public at the request of the European Parliament and co-ordinated by the European Commission, Directorate-General for Communication. Brussels, May 2023.
http://dx.doi.org/10.2861/93879, European Commission:
Special Eurobarometer 532. The Digital Decade.
Conducted by Kantar Public at the request of Directorate-General for Communications Networks, Content and Technology (DG CNECT). Survey co-ordinated by the Directorate-General for Communication (DG COMM ‘Media monitoring and Eurobarometer’ Unit). Brussels, June 2023. http://dx.doi.org/10.2759/14051, European Commission:
Special Eurobarometer 533. Attitudes of Europeans towards Animal Welfare.
Conducted by Kantar Public at the request of Directorate-General for Health and Food Safety (DG SANTE “Animal Welfare” Unit). Survey co-ordinated by the Directorate-General for Communication (DG COMM ‘Media monitoring and Eurobarometer’ Unit). Brussels, October 2023. http://dx.doi.org/10.2875/872312
Study group: EB - Standard and Special Eurobarometer
Linked
information:Variables (482)
information:Variables (482)
Date(s) of Data Collection: 27.02.2023 - 03.03.2023
GESIS, Cologne. ZA7981 Data file Version 1.0.0, https://doi.org/10.4232/1.14160
GESIS, Cologne. ZA7981 Data file Version 1.0.0, https://doi.org/10.4232/1.14160
Topics: Information society, TRANSPORT AND TRAVEL
Date(s) of Data Collection: 27.02.2023 - 03.03.2023
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 27 Member States and aged 16 years and over, who have travelled to another country in the European Union, Iceland, Liechtenstein or Norway in the past two years, and are able to call, text and/or use mobile internet on their mobile phone when travelling in the European Union.
Number of Units: 5259
Sampling Procedure: • Probability: Simple random;
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Ipsos European Public Affairs, Brussels
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 163
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels; Directorate General Communication, COMM.A.3 ´Media monitoring and Eurobarometer´ -
Publication year: 2023
DOI: 10.4232/1.14160
Study number: ZA7981
Publisher: GESIS
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2023-11-20, https://doi.org/10.4232/1.14160
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-11-20 Archive release (current version) https://doi.org/10.4232/1.14160 |
Publications: European Commission: Flash Eurobarometer 521. Roaming. Survey requested by the European Commission, Directorate-General for Communications Networks, Content and Technology and co-ordinated by the Directorate-General for Communication (DG COMM “Media Monitoring and Eurobarometer” Unit). Brussels, July 2023. doi:10.2759/730969
Study group: EB - Flash Eurobarometer
Date(s) of Data Collection: 26.06.2023 - 28.06.2023
GESIS, Cologne. ZA8719 Data file Version 1.0.0, https://doi.org/10.4232/1.14223
GESIS, Cologne. ZA8719 Data file Version 1.0.0, https://doi.org/10.4232/1.14223
Abstract: The study on current questions about AI was conducted by forsa on behalf of the Press and Information Office of the Federal Government. During the survey period from 26.0 ... more
Abstract: The study on current questions about AI was conducted by forsa on behalf of the Press and Information Office of the Federal Government. During the survey period from 26.0 ... more
Content: Interest in information on the topic of artificial intelligence; level of information on the topic of artificial intelligence; involvement with the topic of artificial intelligence in the last two weeks (heard or read something in the media, talked about it with friends or acquaintances, actively searched for information on the topic); overall assessment of current developments in the field of AI more as an opportunity or more as a risk; reasons for assessing developments in the field of AI more as an opportunity (open question) or more as a risk (open question); agreement with the following statements about artificial intelligence (Artificial intelligence will reduce the negative consequences of the shortage of skilled workers, the use of artificial intelligence will make everyday life easier for me personally, the use of artificial intelligence will bring great benefits in the healthcare sector, e.g. in the early detection of tumors, I have an idea of the areas of work in which AI applications can bring concrete benefits, in the future, it will no longer be possible to tell whether a text, image or piece of music was created by humans or by artificial intelligence, artificial intelligence will lead to a much greater spread of fake news, I am worried that AI applications will no longer be controllable by humans); support for legal requirements for the development and use of artificial intelligence; perception of a planned EU regulation in which the individual applications of AI are classified according to risk; assessment of this EU regulation as appropriate, too strict or not strict enough.
Demography: sex; age (grouped); school-leaving qualification; income level low, medium, high (net equivalent income); region west/east; location size; party preference (intention to vote in the federal election); voting behavior in the last federal election.
Additionally coded were: Respondent ID; weight.
Topics: Information society, SCIENCE AND TECHNOLOGY, Information technology, International politics and organisations
Date(s) of Data Collection: 26.06.2023 - 28.06.2023
Geographic coverage: Germany (DE)
Universe: German-speaking population aged 14 and over with a landline or mobile phone connection
Number of Units: 1506
Sampling Procedure: • Probability: Multistage;
When selecting respondents for the forsa multi-topic survey (Politik-BUS), both landline and mobile phone numbers are included. The sample is therefore formed on the basis of a combined landline and mobile phone sample (so-called ADM dual-frame design). The ratio of interviews obtained via the mobile selection frame to those obtained via the landline frame is 30:70.
Participants with a landline are selected using a multi-stratified, multi-stage random sample based on the ADM telephone sampling system. The selection basis is the so-called ADM telephone master sample. If a household with a landline is selected on the basis of the ADM telephone master sample, the person to be interviewed within the household is selected in the second stage of the selection process. If it is a one-person household, the interviewee is already clearly identified. If several people from the population live in the household, the interviewer determines the person to be interviewed using the so-called birthday method.
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: forsa, Berlin
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 71
Notes: The study was conducted on behalf of the Federal Press Office.
Principal Investigator/ Authoring Entity, Institution: - Presse- und Informationsamt der Bundesregierung, Berlin
Publication year: 2024
DOI: 10.4232/1.14223
Study number: ZA8719
Publisher: GESIS
Research data center: FDZ Wahlen bei GESIS
External links: Federal Press Office
Current Version: 1.0.0, 2024-01-03, https://doi.org/10.4232/1.14223
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-01-03 first archive edition (current version) https://doi.org/10.4232/1.14223 |
Publications: Auswertungen zu Studie ZA8719 - Aktuelle Fragen zu KI (Juni 2023).
Herausgeber: forsa
Study group: Surveys commissioned by the Press and Information Office of the Federal Government, GESIS Community Data
Date(s) of Data Collection: 23.08.2023 - 05.12.2023
GESIS, Cologne. ZA8733 Data file Version 1.0.0, https://doi.org/10.4232/1.14306
GESIS, Cologne. ZA8733 Data file Version 1.0.0, https://doi.org/10.4232/1.14306
Abstract: The study among people with a history of immigration was conducted by infratest dimap on behalf of the Federal Press Office. In the survey period 23.08.2023 to 05.12.2023 ... more
Abstract: The study among people with a history of immigration was conducted by infratest dimap on behalf of the Federal Press Office. In the survey period 23.08.2023 to 05.12.2023 ... more
Content: Origin: Country of birth; region of birth (Germany, EU, other Europe, Asia, Africa, other region); year of immigration to Germany; parents born in Germany; country and region of birth of mother and father; German citizenship; other citizenship; other citizenship; mention of other citizenship; interest in German citizenship; estimated effort required to acquire German citizenship; self-assessment of German language skills; most frequently used language in the household.
Togetherness in Germany: attachment to the immediate neighborhood, the city or municipality, Germany, Europe, and the parents´ country of origin; proportion of friends and acquaintances from Germany; frequency of contact with natives in one´s own family or close relatives, at work, in the neighborhood and in other circles of friends and acquaintances; desired contact with natives.
Life in Germany: satisfaction with various areas of life (own life overall, own financial situation, quality of life in Germany, social cohesion in Germany, opportunities for social advancement in Germany, healthcare in Germany, situation on the labour market, social security, interaction with other people in Germany, status of digitalization, German education system, public administration, functioning of democracy in Germany); assessment of own economic circumstances in comparison to others as fair vs. not fair; subjective experiences of discrimination in the last 24 months (on racial reasons, due to belonging to an ethnic group or coming from another country, due to sex, religion or belief, due to age, due to low income, due to sexual orientation); places for subjective experience of discrimination (in offices or authorities, in educational institutions, at work, on the housing market, in public, in leisure time, in stores or in the service sector, with the police and in the private sphere); reaction to the experience of discrimination (sought advice, tried to draw public attention to discrimination, complained to an official body, filed a complaint, other, none of the above); awareness of support services for discrimination.
Politics in Germany: most important political issues in Germany; trust in institutions (courts, police, federal government, political parties, and media in Germany); sense of representation in German politics, German media and associations, interest groups and clubs in Germany.
Political information behavior: Interest in politics in general; interest in politics in Germany and in the parents´ country of origin; being informed about political issues; frequency of use of media and information sources for political information from Germany and from the parents´ country of origin; frequency of use of various media and information sources for political information (e.g. public television, private television programs, radio, newspapers and magazines, Internet news sites and news apps, etc.); assessment of the work of the Federal Government: satisfaction with the Federal Government´s commitment to the interests and concerns of people with a migration background; perception of the information provided by the Federal Government on the following channels: on the Federal Government´s website, on the Federal Government´s pages on social media, in Federal Government brochures or magazines, on Federal Government posters, from interviews with government politicians on television, in newspapers or on the Internet; satisfaction with the information provided by the Federal Government; criticism of the information provided by the Federal Government (e.g. not credible enough, too criticism of the information provided by the Federal Government (e.g. not credible enough, too one-sided, too contradictory, etc.); awareness of multilingual information provided by the Federal Government; assessment of the multilingual information offered by the federal government as sufficient; awareness and assessment of the federal government´s diversity strategy in the federal administration; opinion on the reform of the citizenship law (only having to have lived in Germany for 5 years instead of 8 years, no longer having to give up citizenship of the country of origin, no more naturalization test and only basic German language skills for over 67-year-olds).
Demography: sex; year of birth; month of birth; age (calculated), age grouped, number of persons in household; highest educational qualification; education (grouped); employment; monthly net household income; net household income grouped.
Additionally coded were: interview number; data source (CAWI/ PAPI); interview language; municipality code: city/county; political municipality size according to municipality code; BIK municipality type (inhabitants of BIK region according to municipality code, federal state according to municipality code, weight.
Topics: Migration, Cultural and national identity, Economic conditions and indicators, Government, political systems and organisations, Political behaviour and attitudes, SOCIAL STRATIFICATION AND GROUPINGS, Equality, inequality and social exclusion, Information society
Date(s) of Data Collection: 23.08.2023 - 05.12.2023
Geographic coverage: Germany (DE)
Universe: Persons aged 18 and over who either themselves or both parents were not born in Germany
Number of Units: 1481
Sampling Procedure: • Probability: Multistage;
Residents´ registration office sample with onomastic name classification
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview: Paper-and-pencil (PAPI)
• Self-administered questionnaire: Web-based (CAWI);
Mixed mode (PAPI/CAWI) in German, English, Russian, Arabic and Turkish
Data Collector: infratest dimap, Berlin
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 148
Notes: The survey was commissioned by the Federal Press Office.
Principal Investigator/ Authoring Entity, Institution: - Presse- und Informationsamt der Bundesregierung, Berlin
Publication year: 2024
DOI: 10.4232/1.14306
Study number: ZA8733
Publisher: GESIS
Research data center: FDZ Wahlen bei GESIS
External links: Federal Press Office
Current Version: 1.0.0, 2024-07-11, https://doi.org/10.4232/1.14306
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-07-11 first archive edition (current version) https://doi.org/10.4232/1.14306 |
Publications: infratest dimap: MIteinander in Deutschland 2023 : Eine Studie unter Personen mit Einwanderungsgeschichte.
Berlin: infratest dimap, Bericht, 2023, Auswertungen zu Studie ZA8733 - Menschen mit Einwanderungsgeschichte (August - Dezember 2023)
Herausgeber: infratest dimap
Study group: Surveys commissioned by the Press and Information Office of the Federal Government, GESIS Community Data
Linked
information:Publications (2)
information:Publications (2)
Date(s) of Data Collection: 24.04.2024 - 17.05.2024
GESIS, Cologne. ZA8823 Data file Version 1.0.0, https://doi.org/10.4232/1.14361
GESIS, Cologne. ZA8823 Data file Version 1.0.0, https://doi.org/10.4232/1.14361
Abstract: Cyber security in companies.
Abstract: Cyber security in companies.
Content: Topics: importance of cyber security in the company; aspects of cyber security handled outside the company; number of employees dedicated to cyber security; number of female employees dedicated to cyber security; career to enter role in cyber security in the company: recruited from a non-cyber security related previous role, recruited from a previous role in cyber security, absorbed this role into an existing non-cyber security related role, career starter, other; difficulty to find and hire staff with the right skills in cyber security in the last twelve months; main challenges for the company with regard to recruiting staff with the right skills in cyber security; impact of the difficulty to find appropriate staff on the risk of a cyber security attack; number of positions in cyber security (full-time equivalents) currently needed to be filled; most important cyber security roles in the company; most important cyber security skills in the company; training or awareness raising measures with regard to cyber security provided to the employees in the last twelve months; reasons for not offering training or awareness raising measures; areas covered in the cyber security training in the last twelve months: crisis management, incidents response and reporting, security threats, security policy, cloud management, awareness, other; percentage of employees that participated in training measures; existence of employees with formal qualifications or certified training with regard to cyber security; awareness of the European Cyber Security Skills Framework (ECSF); attitude towards the following statements: diversity and inclusion in cyber security are important in the company, women in the company are encouraged to take up roles and tasks in cyber security.
Demography: information about the company: number of employees, percentage of employees that are women; development of the number of employees over the last two years; years of company activity; development of turnover in the last two years; total turnover in 2023; direct selling to final consumers; IT tools currently used: online bank account, online ordering or payment systems, reservations software with client database, website for company’s business, web-based applications for payroll processing, cloud computing or storage, internet-connected ‘smart’ devices, company intranet, internet-based video or voice calling service, other, none.
Additionally coded was: respondent ID; country; NACE-Code; region; language of the interview; nation group; weighting factor.
Date(s) of Data Collection: 24.04.2024 - 17.05.2024
Date(s) of Data Collection: 24.04.2024 - 17.05.2024, total
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR)
Universe: The survey covers businesses employing one or more persons in manufacturing (NACE category C), retail (NACE category G),services (NACE categories H, I, J, K, L, M, N, R, S), education, health and social work (P, Q), and the industry sector (NACE categories B, D, E, F) within the European Union.
Number of Units: 12916
Sampling Procedure: • Non-probability: Quota;
Temporal Research Design: Cross-section
Analysis Unit: Organization/Institution
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Ipsos European Public affairs, Brussels
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 174
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels; Directorate General Communication, COMM.A.3 ´Media monitoring and Eurobarometer´ -
Publication year: 2024
DOI: 10.4232/1.14361
Study number: ZA8823
Publisher: GESIS
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2024-07-31, https://doi.org/10.4232/1.14361
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-07-31 Archive release (current version) https://doi.org/10.4232/1.14361 |
Publications: European Commission: Flash Eurobarometer 547. Cyberskills. Survey requested by the European Commission, Directorate-General for Communications Networks, Content and Technology and co-ordinated by the Directorate-General for Communication (DG COMM “Media monitoring and Eurobarometer” Unit). Brussels, May 2024. doi:10.2759/221137
Study group: EB - Flash Eurobarometer
Date(s) of Data Collection: 12.07.2022 - 20.03.2023
GESIS, Cologne. ZA8771 Data file Version 1.0.0, https://doi.org/10.4232/1.14234
GESIS, Cologne. ZA8771 Data file Version 1.0.0, https://doi.org/10.4232/1.14234
Abstract: The study on continuing education behavior in Germany was conducted by Verian (until November 2023: Kantar Public) on behalf of the Federal Ministry of Education and Rese ... more
Abstract: The study on continuing education behavior in Germany was conducted by Verian (until November 2023: Kantar Public) on behalf of the Federal Ministry of Education and Rese ... more
Content: 1. General statistical and regional data
2. Sex, age
3. Household composition
4. Occupational information
4.1 Occupational situation (current and last 12 months)
4.2 Occupational information (current)
5. Origin of the target person (migration background part 1)
6. Origin (migration background part 2) and education of parents
7. Educational background
8. Participation in formal education in the last 12 months (FED): inquiries
9. Participation in non-formal further education activities in the last 12 months (NFE)
10. Inquiries about NFE activities
11. (Further) education barriers and needs
12. Transparency and guidance
13 Informal learning (INF)
14. Additional questions on digitalization and internet use
15. Self-assessment of own foreign language skills
16. Net household income
17. Health issues
1. Occupational information: employment status; employment status summarized; currently employed; employment status on parental leave; receipt of unemployment benefit; type of unemployment benefit; full-time or part-time employment; type of internship; uninterrupted employment situation since: year and month; paid part-time employment; previous employment; year and month of last employment; year of last employment (grouped); previous employment ended in the reference period (e.g. in the month of the survey); company training or paid internship in the last 12 months; reason for internship (company training or paid internship in the last 12 months); reason for internship (company training or paid internship in the last 12 months). e.g. in the month of the survey); company training or paid internship in the last 12 months; reason for the internship (as part of company training, as part of a course of study, as part of other education or vocational training or for another reason).
2. Characteristics of the main occupational activity: employment in the last 12 months; weekly working hours; full-time/part-time activity; occupational activity stated (ISCO08); type of education or training required for this occupational activity; activity corresponds to the occupation learned; occupational status (grouped); employee subject to social security contributions or dependent employee; position blue-collar or white-collar employee; career group; group self-employed; employment of permanent employees; number of employees; family members helping out: work with or without pay; sector of the establishment in which the current activity is carried out dependent employees; position worker, employee; career group; group of self-employed persons; employment of permanent employees; number of employees; contributing family members: work with or without pay; industry of the establishment of the current activity; type of establishment; public service; economic sector; number of employees in the establishment; less than 10 or more than 10 persons working in the establishment; establishment size class (aggregated); number of employees; establishment is part of a larger enterprise; number of employees in the total enterprise; date (month and year) of employment start with current or with the last employer; start of employment with the current employer in the reference period; fixed-term or permanent employment contract; frequency of various job requirements; unemployment in the last year; duration of unemployment in months; attitude towards own school time (enjoyment of school lessons, felt bad, liked going to school longer, found learning difficult, achieved desired school-leaving qualification, fear of teachers, learned a lot of interesting things, skipped class more often, repeated class).
3. Educational background: attendance of regular educational programs
a) School education: type of school attended; no school attended; grade level attended at present or when leaving school; school-leaving qualification sought; school completed with qualification or left without qualification; type of school-leaving qualification; school attendance in Germany or abroad: grade level when leaving school; foreign school completed with qualification or left without qualification; successful recognition of foreign school-leaving qualification in Germany; date (year and month) of leaving school; school completed within the last 12 months with or without qualification; grade level attended when leaving school; grade level currently attended at this school; intended school-leaving qualification; completed school with or without a qualification; type of school-leaving qualification.
b) Vocational educational background: Type of vocational training and higher education (vocational preparation year (BVJ); apprenticeship or vocational internship, basic vocational training year (BGJ), vocational school, apprenticeship with vocational school (dual system), preparatory service for civil servants in the intermediate civil service, vocational school, school for health and social professions, training center or School for educators, technical school in the GDR, technical academy (Bavaria), advanced training as a master craftsman or technician, business administrator/specialist, technical school or technical academy, studies at a vocational academy, studies at an administrative college, studies at a vocational academy, at an administrative college, at a university of applied sciences), studies at a university, doctorate, other course of education (open), no vocational training or higher education); course completed or currently in progress; education or training completed in full; date of completion (year and month); activity completed within the last 12 months; course completed with or without a degree within the last 12 months; more than one course started; previous education or training: previous education or training completed with or without a degree; date of completion of training (year and month); activity completed within the last 12 months; educational course completed with or without a qualification within the last 12 months; educational course completed or current participation; education or training completed in full or completed prematurely; qualification obtained in Germany or abroad; successful recognition of this qualification obtained abroad in Germany; educational institution (open entry); previous vocational training course: Educational institution (open entry); currently in a course of education; completed at least one course of education, completed at least one course of education without a qualification; highest school-leaving qualification; highest vocational qualification; ISCED level 2011; type of course of education; course of education: currently/ completion/ discontinuation; end of course of education (month and year); result of educational attendance.
4. Participation in formal education (FED) in the last 12 months: Inquiries
Number of regular education courses (FED) attended in the last 12 months; one or more education courses; continuously in school, vocational or academic education; year and month in which FED was completed; currently attending the education course; auxiliary variable: Destination of the educational pathway (currently, completed, dropped out); FED educational pathway (ISCED Fields 2013, ISCED Fields 5-26 Basic Categories and Learning Fields); year and month of starting the educational pathway; employment status before starting the educational pathway; initial education or further education phase; part of initial education/second chance; academic FED; reasons for participating in the educational pathway; most important point for participating in the educational pathway; Duration of the educational program; duration of the educational program including vacations in months; how many months fell into the period of the last 12 months (total, converted into weeks, weeks corrected); absences due to vacations, vacation, illness or other reasons in the last 12 months; review of learning time in the last 12 months; number of FED weeks; weekly teaching hours or training time in the educational program; volume of FED in hours; educational program entirely or partly during paid working hours or leave of absence; educational program takes place entirely, predominantly or only to a small extent during paid working hours; self-funded costs as part of the educational program; costs covered by (future) employer, employment office, another public or private institution, parents, partner, other family members, friends, tax office or other; no cost coverage); frequency of Internet use for materials and documents, for exchange with teachers or with other participants); educational program took place purely online on the Internet, predominantly online on the Internet, predominantly or completely in an on-site event; formal educational activity with digital media; online educational activity simultaneously with others or with a time delay; satisfaction with the educational program; frequency of use of the knowledge and skills acquired through the educational program; benefits of the educational program (e.g. to find a job, etc.); greatest benefit of the educational program.
5. Participation in non-formal education activities in the last 12 months (NFE: non-formal education):
Participation in courses or training in the last 12 months; subject of courses or training (ISCED Fields 2013, ISCED Fields 5-26 basic categories, ISCED Fields 5-26 learning fields); number of activities mentioned; participation in short-term education and training events; Subject of these short-term education and training events (ISCED Fields 2013, ISCED Fields 5-26 basic categories, ISCED Fields 5-26 learning fields); number of activities mentioned; participation in workplace training; participation in private lessons in leisure time; subject of private lessons (ISCED Fields 2013, ISCED Fields 5-26 basic categories, ISCED Fields 5-26 learning fields); number of activities mentioned.
6. Follow-up questions on NFE activities: Name of the NFE activities mentioned; activity still ongoing; duration of the activity in total; time spent on the activity (number of days, weeks, months, months converted into weeks and hours); employment status when the activity took place; activity completed or completed before the end; educational activity during paid working hours or paid time off for educational purposes; proportion for activity during working hours or paid time off; reason for taking time off for educational purposes; participation for professional or private reasons; reason for participation (initiator: e.g. on company order, at the suggestion of the supervisor, etc.); important points for participation; most important point for participation; digitalization as reason for course participation). (e.g. on company order, at the suggestion of the superior, etc.); important points for participation; most important point for participation; digitalization as a reason for course participation (acquiring knowledge and skills required due to increasing digitalization in the context of the job, learning how to obtain information on the Internet, learning how to use a specific digital technology, learning more about social, ethical or legal aspects of digitalization); organizer or client of the activity (e.g. employer, other company, employment agency, NFE activity self-organized or commissioned, etc.); institution or person who offered and carried out the activity; receipt of a certificate or attestation and type of certificate or attestation; certificate or attestation required by law from the employer for certain activities; costs of activity borne by the participant him/herself; costs of continuing education covered by the employer, the employment office, another public institution, use of the education premium, use of regional education vouchers, parents, partner or family, tax office, other, none of the above: no costs were incurred; type of continuing education: Participation in in-company continuing education, in individual job-related continuing education or in non-job-related continuing education; amount of privately financed costs; frequency of internet use for materials or documents for continuing education activity; frequency of internet use for exchanges with teachers or other participants; non-formal continuing education activity with digital media; participants in educational activity with digital media (FED/NFE); online part takes place simultaneously with the person teaching and other participants; educational activity takes place purely online/ predominantly online on the internet vs. predominantly/completely in an on-site event; overall satisfaction with the continuing education; most important skill learned through the continuing education activity; assessment of the overall benefit of the knowledge gained from the continuing education; concrete benefit of the continuing education (e.g. was it worthwhile to find a job or a new job) (e.g. was it worthwhile in order to find a job or a new job); point where further training was most worthwhile; expected future benefit of the knowledge gained from further training; reasons for discontinuing further training; attitude towards further training (if you want to be successful in your career, you have to improve your knowledge, further training can help you to cope better in everyday life, learning new things is fun, learning gives you self-confidence); Desire to participate in further training activities; need for further training despite non-participation; interviewee would have liked to participate in further training activities; need for further training despite non-participation; reasons for non-participation (e.g. participation requirements were not met); reasons for non-participation (e.g. participation requirements not met, too expensive, no support from employer, no state support, COVID-19, no time due to work commitments, family commitments, long distance to provider, no suitable offers, school learning methods, health, fear of COVID-19 infection, age, lack of advice, lack of computer or internet access, offer fully booked, offer did not take place, other personal reasons, none of the above); most important reason for non-participation; financial reason: Probable participation with cost subsidy; good overview of education and training opportunities; search for information on education and training opportunities; information found; desire for more information and advice; receipt of professional advice on education and training opportunities; determination of personal education or training needs; advice or support on formal recognition of skills acquired outside the education system; visited institution offering advice (educational institution, further education institution, employment agency, job center, ARGE, current or future employer or company, information hotline for further education advice, other institution, none of the above); type of advice (advice from a person or without human/personal contact, none of the above); satisfaction with the advice center, with the outcome of the advice, with the competence of the advisor, and with the advice overall; benefit of the advice in school grades; selected an educational event on the basis of advice, registered for an educational event, already participated in an educational activity, none of the above.
7. Informal learning (INF) or self-learning in the last 12 months: Participation in informal learning; learning pathway (learning from family, friends or colleagues, reading books or journals, using educational resources on computer or internet (on- or offline), knowledge programs in other media, guided tours of museums or historical sites, visits to libraries or open learning centers, none of the above); asked for up to two learning activities: Topic of informal learning activity (ISCED Fields 2013; ISCED Fields 5-26 basic categories; ISCED Fields 5-26 learning fields); main way of learning; motivation for self-learning (professional or private reasons); timing of informal learning (during working hours or during leisure time; frequency of Internet use in the last three months; frequency of Internet use for different purposes (to retrieve information at short notice, to learn, for example, to find out news); Internet access in the household.
8. Self-assessment of own foreign language skills: other language skills, German as a foreign or native language; other language skills (first foreign language, best spoken other language, second foreign language; second best spoken foreign language, etc.); assessment of other language skills (best spoken, second best spoken, language 3).
9. Health: subjective state of health; restrictions due to state of health; restriction for more than half a year.
Demography: Sex; age (year of birth, month of birth, birthday, age open and grouped); household type; living with a partner; age of partner (grouped); children; total number of children; number and age (grouped) of children in household; children under 5 in household; children from 5 to 13 in household; other persons in household; number and age group of other persons in household (household composition); household size (open, grouped); number of persons in the household under 18 years and from 18 to 69 years, from 18 to 64 years and from 25 to 64 years; first language learned in childhood (mother tongue); German nationality; migration background; non-German nationality; born in Germany; non-German country of birth; country of birth; lived abroad for at least one year; years in Germany; age when moving to (returning to) Germany; net household income (grouped); satisfaction with household income.
Parents´ origin and education (migration background): Country of birth Germany; non-German country of birth of parents; German citizenship; acquisition of German citizenship; migration background generations 1 and 2; parents´ highest school-leaving qualification; parents´ vocational training, university or university of applied sciences degree.
Additionally coded: ID (respondent, informal learning activities, courses); survey mode; interview date (day; month and year); 12 months before survey month and survey year; region west-east; regions direction; location size (BIK structure type of municipality); political municipality size class; Nielsen areas; degree of urbanization; Weighting factors and extrapolation factors; filter variable persons currently working in any occupation; number of employees in the company (locsizefirm for EU); current country of birth of father and mother; coding according to ISED Fields 2013; ISCED Fields 5-26 basic categories; ISCED Fields 5-26 learning fields; detailed information is available in school loops/vocational loops; participation in private lessons, participation in continuing education events, participation in continuing education in the last 12 months; FED/NFE participation in the last 12 months; matrix of NFE activities; activities used for inquiries in loop x; selected activity (course); auxiliary variables (e.g. Number of NFE activities); demand block; NFE follow-up loop; total activities mentioned; total courses in demand loops 1-12; segments of continuing education; type of continuing education; NFE loop (ISCED fields 2013); coding according to ISCED fields 2013; ISCED fields 5-26 basic categories; ISCED fields 5-26 learning fields; NFE hours (imputed); scientific NFE; FED and NFE: Scientific NFE; NFE providers grouped; Frequency of internet use for exchange with teachers and/or participants (mean value); selected activity; participation an FED, NFE or INF in the last 12 months.
Topics: EDUCATION, Compulsory and pre-school education, Higher and further education, Life-long/continuing education, Employee training, Employment, Information society, Language and linguistics, General health and well-being, Time use
Date(s) of Data Collection: 12.07.2022 - 20.03.2023
Geographic coverage: Germany (DE)
Universe: German resident population aged 18 to 69 in private households
Number of Units:
9820 (Personendatensatz),
17312 (NFE-Datensatz),
9393 (INF-Datensatz)
Sampling Procedure: • Probability: Multistage;
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview: Computer-assisted (CAPI/CAMI)
• Self-administered questionnaire: Web-based (CAWI);
Data Collector: Verian, München
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables:
2001 (Personendatensatz),
1014 (NFE-Datensatz),
1319 (INF-Datensatz)
Notes: Survey unit: Adults###
Three data sets are available: a data set based on the respondents (AES personal data set), a data set based on the continuing education events mentioned by the respondents (event-related AES data set, non-formal education/NFE) and a course data set of the informal learning activities mentioned by the respondents (INF data set).
Principal Investigator/ Authoring Entity, Institution: - Bundesministerium für Bildung und Forschung (BMBF), Berlin
Publication year: 2024
DOI: 10.4232/1.14234
Study number: ZA8771
Publisher: GESIS
Current Version: 1.0.0, 2024-04-23, https://doi.org/10.4232/1.14234
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-04-23 first archive edition (current version) https://doi.org/10.4232/1.14234 |
Publications: Verian: Erhebung zum Weiterbildungsverhalten in Deutschland 2022 (AES 2022): Handbuch zur Datennutzung.
München: Verian 2022
Study group: Report System for Further Education; Adult Education Survey, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Date(s) of Data Collection: 27.07.2024 - 30.07.2024
GESIS, Cologne. ZA8805 Data file Version 1.0.0, https://doi.org/10.4232/1.14426
GESIS, Cologne. ZA8805 Data file Version 1.0.0, https://doi.org/10.4232/1.14426
Abstract: With the Science Barometer, Wissenschaft im Dialog has been collecting population-representative data on the attitudes of citizens in Germany towards science and research ... more
Abstract: With the Science Barometer, Wissenschaft im Dialog has been collecting population-representative data on the attitudes of citizens in Germany towards science and research ... more
Content: 1. Interest in and awareness of science and research: interest in the topics of politics, economics and finance, science and research; awareness of science and research
2. Participation in science and research: agreement with statements on the transparency of science and research (important that citizens are involved in decisions on new research topics, public is sufficiently involved in decisions on new research topics, scientists make too little effort to inform the public about their work, scientists work for the benefit of society, scientists are aware of the social impact of their work); participation of citizens in science and research (would like to participate in a scientific research project, interest in taking part in a discussion format with scientists).
3. Trust in science and research: general trust in science and research; trust in sub-areas of science and research (development of modern humans, formation of the earth, man-made climate change, renewable energies, vaccinations and gender identity); reasons for trust in scientists (expertise, working according to rules and standards, research in the public interest); reasons for distrust in scientists (frequent mistakes, adapting results to own expectations, dependence on funders); understanding of “doing scientific research” (coded open-ended responses); agreement with statements about the complexity of science and research (science and research have so little relevance to everyday life that they are not relevant to me, science and research are so complicated that I do not understand much of it, controversies between scientists are helpful because they help to ensure that the right research results prevail, when scientists contradict each other, it is difficult for me to judge which information is the right one, I personally benefit from science and research).
4. Current topic: Perception of academic freedom in Germany; reasons for a positive or negative perception of academic freedom (coded open-ended responses); attitudes towards the impairment of public communication about research: Likelihood of possible reasons that could restrict scientists and scientific freedom (attacks on scientists in social media, deliberate misinterpretation of research results in public debates, research results are not communicated if they contradict the current state of research, political/business donors dictate to scientists what they may communicate, universities or other scientific institutions dictate to scientists what they may communicate, journalists report research results in a distorted way); mutual influence of science, politics and business: assessment of the influence of science on politics, of politics on science and of business on science.
5. Personal connection to science and research: job in science and research; connection to science and research in the wider environment: professionally involved in science and research elsewhere, family members or friends who have studied or are still studying; personal acquaintance with a scientist; assessment of own religiosity; respondent or at least one of the parents born abroad (migration background).
Demography: sex; age; school education; occupation; occupation in detail; household size; children under 14 years of age in the household; net household income; eligibility to vote; party preference.
Additionally coded were: Interview no.; interview duration (in seconds); weight; location size (BIK); federal state; region east/west.
Date(s) of Data Collection: 27.07.2024 - 30.07.2024
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1005
Sampling Procedure: • Probability: Multistage;
Multi-stage random sample, combined landline and mobile phone sample in a ratio of 80:20 (dual-frame approach) as part of a multi-topic survey by Verian
The sample was drawn according to ADM - i.e. on the basis of a national telephone sample drawn up on the initiative of the Arbeitskreis Deutscher Marktforschungsinsitute (ADM) using the Gabler-Häder method, which also contains unlisted telephone numbers. Within the selected households of the landline sample, the target person was selected at random. Systematic target person selection was not used for the mobile phone sample, as cell phones are used almost exclusively by one person.
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Verian, Berlin
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 131
Notes: The weighting was carried out in several steps: First, the different selection probabilities of the individual target persons, determined by the number of landline and mobile phone numbers and household size, were balanced by design weighting. The two samples of landline and mobile phone numbers were then combined and weighted according to the characteristics of federal state, size of location, gender, age, occupation, education and household size. The weighting ensures that the composition of the sample on which the analysis is based corresponds to the structure of the population. This means that the survey results are representative and can be generalized to the population within the statistical margin of error. In this study, the margin of error is ±1.4 (with a proportion value of 5 percent) to ±3.1 percentage points (proportion value of 50 percent).
Principal Investigator/ Authoring Entity, Institution: Kremer, Bastian - Wissenschaft im Dialog, Berlin, Fischer, Liliann - Wissenschaft im Dialog, Berlin, Fecher, Benedikt - Wissenschaft im Dialog, Berlin
Publication year: 2024
DOI: 10.4232/1.14426
Study number: ZA8805
Publisher: GESIS
External links: Wissenschaft im Dialog
Current Version: 1.0.0, 2024-11-28, https://doi.org/10.4232/1.14426
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-11-28 first archive edition (current version) https://doi.org/10.4232/1.14426 |
Publications: Wissenschaft im Dialog: Wissenschaftsbarometer 2024
Berlin: 2024
https://wissenschaft-im-dialog.de/projekte/wissenschaftsbarometer/#erhebung-2024
https://wissenschaft-im-dialog.de/ressourcen/#wissenschaftsbarometer
, Wissenschaft im Dialog: Wissenschaftsbarometer 2024 : Repräsentative Bevölkerungsumfrage zu Wissenschaft und Forschung in Deutschland – Methodenbericht - .
Berlin: Wissenschaft im Dialog 2024
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Date(s) of Data Collection: 22.08.2023 - 24.08.2023
GESIS, Cologne. ZA8804 Data file Version 1.0.0, https://doi.org/10.4232/1.14345
GESIS, Cologne. ZA8804 Data file Version 1.0.0, https://doi.org/10.4232/1.14345
Abstract: With the Science Barometer, Wissenschaft im Dialog has been collecting population-representative data on the attitudes of citizens in Germany towards science and research ... more
Abstract: With the Science Barometer, Wissenschaft im Dialog has been collecting population-representative data on the attitudes of citizens in Germany towards science and research ... more
Content: 1. Interest in and informedness about science and research: interest in scientific topics in specific areas; informedness about science and research.
2. Information behaviour on science and research topics: self-assessment of information status; frequency of use of the Internet in general for information on science and research; frequency of use of various information channels on science and research on the Internet (Facebook, Twitter or other social networks, blogs or online forums, Wikipedia, YouTube or similar video platforms, websites of scientific institutions or organizations, websites or media libraries of news media such as newspapers, magazines or television stations, podcasts, messengers such as WhatsApp or Telegram).
3. Trust in science and research: general trust in science and research; reasons for trust in scientists (expertise, working according to rules and standards, research in the public interest); reasons for mistrust of scientists (frequent mistakes, adapting results to own expectations, dependence on donors).
4. Social role of science and research: attitude towards potential benefits and risks of science and research (science does more harm than good, benefit personally from science and research, orientation of scientists towards the common good, efforts of scientists with regard to public communication, public funding of research, even without direct benefit (basic research), attitude towards the relationship between science and politics (political decisions should be based on scientific findings, it is not the task of scientists to interfere in politics, it is right for scientists to speak out publicly when political decisions do not take research findings into account).
5. Current topic - use of artificial intelligence in the form of programs such as ChatGPT: Awareness of programs such as ChatGPT; evaluation of programs such as ChatGPT in the reproduction of scientific content: Agreement with four possible positive aspects (you can have complex facts from science and research explained to you in a highly simplified way, you can have texts written in the style of scientific articles in a very short time, you can talk about science and research as if you were talking to a real person, you can have examples given to you and ask follow-up questions if you are unclear about scientific topics); agreement with four possible negative aspects: Programs like ChatGPT make it more difficult to determine whether scientific content was written by a human or a program, cannot verify the sources of information on scientific topics as thoroughly as a human, sometimes misinformation on scientific topics is reproduced, can increase the spread of misinformation on scientific topics), trust in programs like ChatGPT when reproducing scientific content.
6. Personal connection to science and research: employment in science and research; personal acquaintance with a scientist, private contacts or other professional environment in the field of science and research.
Demography: sex; age; education; occupation; occupation in detail; household size; children under 14 in the household; net household income; party preference.
Additionally coded were: Interview no.; interview duration (in seconds); weight; location size (BIK); federal state; western/eastern region.
Date(s) of Data Collection: 22.08.2023 - 24.08.2023
Geographic coverage: Germany (DE)
Universe: German-speaking resident population in private households aged 14 and over
Number of Units: 1037
Sampling Procedure: • Probability: Multistage;
Combined landline and mobile phone sample in a ratio of 80:20 (dual-frame approach) as part of a multi-topic survey by Kantar Public.
The sample was drawn according to ADM - i.e. on the basis of a national telephone sample drawn up on the initiative of the Arbeitskreis Deutscher Marktforschungsinstitute (ADM) using the Gabler-Häder method, which also contains unlisted telephone numbers. Within the selected households of the landline sample, the target person was selected at random. Systematic target person selection was not used for the mobile phone sample, as cell phones are used almost exclusively by one person.
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar Public, Berlin
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 61
Notes: The weighting was carried out in several steps: First, the different selection probabilities of the individual target persons, determined by the number of landline and mobile phone numbers and household size, were balanced by design weighting. Next, the two samples of landline and mobile numbers were combined and then weighted with regard to the characteristics of federal state, city size, sex, age, occupation, education and household size. The weighting ensures that the composition of the sample on which the analysis is based corresponds to the structure of the population. This means that the survey results are representative and can be generalized to the population within the statistical margin of error. In this study, the margin of error is ±1.4 (with a proportion value of 5 percent) to ±3.1 percentage points (proportion value of 50 percent).
Principal Investigator/ Authoring Entity, Institution: Kremer, Bastian - Wissenschaft im Dialog, Berlin, Fischer, Liliann - Wissenschaft im Dialog, Berlin, Fecher, Benedikt - Wissenschaft im Dialog, Berlin
Publication year: 2024
DOI: 10.4232/1.14345
Study number: ZA8804
Publisher: GESIS
External links: Wissenschaft im Dialog
Current Version: 1.0.0, 2024-07-12, https://doi.org/10.4232/1.14345
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-07-12 first archive edition (current version) https://doi.org/10.4232/1.14345 |
Publications: Wissenschaft im Dialog: Wissenschaftsbarometer 2023
Berlin: 2023
https://wissenschaft-im-dialog.de/projekte/wissenschaftsbarometer/#erhebung-2023
https://wissenschaft-im-dialog.de/ressourcen/#wissenschaftsbarometer
Study group: Science Barometer, GESIS Community Data
