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Science Barometer
Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and research on an annual basis. The aim is to contribute to a fact-based discourse on the relationship between science and the public and targeted science communication by collecting, processing and communicating the results. The questionnaire of the science barometer contains corresponding questions on cognitive attitudes such as interest and information and the respondents´ information behaviour on topics from science and research. In addition, evaluative attitudes will be collected on issues such as trust, the assessment of the benefits and risks of science and the social role of research. The questions are aimed at general attitudes towards science and research.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
Date(s) of Data Collection: 28.09.2022 - 29.09.2022
GESIS, Cologne. ZA7641 Data file Version 1.0.0, https://doi.org/10.4232/1.14077
GESIS, Cologne. ZA7641 Data file Version 1.0.0, https://doi.org/10.4232/1.14077
Abstract: With the Science Barometer, Wissenschaft im Dialog has been collecting population-representative data on the attitudes of citizens in Germany toward 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 toward science and research ... more
Content: 1. Interest and trust in science and research: Interest in the topics of politics, science and research, local affairs, and economics and finance; associations with science and research (open naming); general trust in science and research; reasons for trust in scientists (are experts, work according to rules and standards, do research in the interest of the public); reasons for distrust of scientists (often make mistakes, adjust results to their own expectations, depend heavily on their funders); importance of different aspects in public science communication (on the results of their own research, on the results of other scientists doing research on the same topic, on the methods they use in their research, on the societal impact of their research, on the general role of science in society, on statements or decisions of politicians who refer to scientific findings).
2. Societal role of research: opinion on spending on research with reduced government spending (research should be one of the first areas for savings, spending on research should be cut in the same proportion as spending in other areas, should not be cut if possible); areas where research should be most intensive in the future (Split A: on climate, energy, health and nutrition, mobility and transport, security issues, communication and digitalization, Split B: Climate and energy, health and nutrition, mobility and transport, issues of security, communication and digitalization); agreement with statements on 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, scientists should decide for themselves what they research on, decisions about science and research should be made primarily against the background of whether they contribute to solving societal problems); trust in the statements of various actors on Corona (scientists, doctors and medical personnel, politicians, representatives of authorities and offices, journalists as well as relatives, acquaintances and friends); trust in the statements of various actors on current issues of energy supply in Germany (scientists, representatives of companies and industry, politicians, representatives of authorities and offices, journalists as well as relatives, friends and acquaintances).
3. Personal relation to science and research: job in science and research; personal acquaintance with a scientist.
Demography: sex; age; education; occupation; occupation in detail; household size; children under 14 in household; net household income; party preference.
Additionally coded were: Interview no.; interview duration (in seconds); weight; place size (BIK); federal state; western/eastern region; split.
Date(s) of Data Collection: 28.09.2022 - 29.09.2022
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1037
Sampling Procedure: • Probability: Multistage;
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 104
Principal Investigator/ Authoring Entity, Institution: Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2023
DOI: 10.4232/1.14077
Study number: ZA7641
Publisher: GESIS
External links: science barometer
Current Version: 1.0.0, 2023-02-28, https://doi.org/10.4232/1.14077
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-02-28 first archive edition (current version) https://doi.org/10.4232/1.14077 |
Publications: Wissenschaft im Dialog: Wissenschaftsbarometer 2022
Berlin: 2022
https://www.wissenschaft-im-dialog.de/fileadmin/user_upload/Projekte/Wissenschaftsbarometer/Dokumente_22/WiD-Wissenschaftsbarometer2022_Broschuere_web.pdf, Kantar: Wissenschaftsbarometer 2022 : Ergebnisse nach Subgruppen. Tabellenband.
Bielefeld: 2022
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (3)
information:Publications (3)
Date(s) of Data Collection: 07.09.2021 - 08.09.2021
GESIS, Cologne. ZA7640 Data file Version 1.0.1, https://doi.org/10.4232/1.14436
GESIS, Cologne. ZA7640 Data file Version 1.0.1, https://doi.org/10.4232/1.14436
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 and information behaviour on topics from science and research: interest in the topics of politics, science and research, local affairs as well as economics and finance; information behaviour on topics from science and research: frequency of use of different sources of information (talking to friends or family, attending events, lectures or discussions, reading articles on scientific topics in printed newspapers or magazines, television programmes, radio programmes as well as frequency of information on the internet about science and research; frequency of use of different channels of information about science and research on the internet (Facebook, Twitter or other social networks, blog or online forums, Wikipedia, YouTube or similar video platforms, web presences of scientific institutions or organisations, websites or media libraries of news media such as newspapers, magazines or television channels, podcasts); trust in science and research; reasons for trust in scientists (are experts, work according to rules and standards, research in the interest of the public); reasons for distrust of scientists (often make mistakes, adjust results to their own expectations, are highly dependent on their funders).
2. Social role of research: agreement with statements about the relationship between science and society (scientists work for the good of society, scientists are aware of the social impact of their work, scientists make too little effort to inform the public about their work, science and research do more harm than good, I personally benefit from science and research, people trust science too much and not enough their feelings and faith, science and research have so little relevance to everyday life that they are not relevant to me, when scientists contradict each other it is difficult for me to judge which information is the right one, controversies between scientists are helpful because they help the right research results to prevail, even if there is no immediate benefit, research that provides new knowledge should be publicly funded); opinion on spending on research with reduced government spending (research should be one of the first areas for savings, spending on research should be cut in the same proportion as spending in other areas, should not be cut if possible); mutual influence of science, business and politics (of science on politics, of politics on science and of business on science); agreement with statements on 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).
3. Corona pandemic: Opinion on Corona: Current Corona measures are appropriate; great knowledge about the Corona virus; trust in statements of different actors in the context of the pandemic situation (scientists, doctors and medical staff, politicians, representatives of authorities and offices, journalists, relatives, acquaintances and friends); expectations towards the role of scientists in political decision-making processes on Corona (scientists should recommend certain decisions to politicians based on scientific findings, scientists should explain decision-making options and their consequences to politicians but not make recommendations, scientists should limit themselves to informing politicians about scientific findings); perception of the role of scientists in political decision-making processes on Corona (scientists recommend certain decisions to politicians based on scientific findings, scientists explain decision-making options and their consequences to politicians but do not make recommendations, scientists only inform politicians about scientific findings); perception about selection of scientists and advice by scientists (I have a perception of the influence of advice from scientists on political decisions, I have a perception of how scientists are selected to advise politicians); agreement with statements about science and research and general statements in the context of Corona (we should rely more on common sense when dealing with Corona and we don´t need scientific studies for that, scientists don´t tell us everything they know about the Corona virus, there is no clear evidence that the Corona virus really exists, the Corona pandemic is being made into a bigger deal than it actually is).
4. Personal relation to science and research: job in science and research; personal acquaintance with a scientist.
Demography: sex; age; education; occupation; occupation in detail; household size; children under 14 in household; net household income; party preference.
Additionally coded were: Interview no.; interview duration (in seconds); weight; city size (BIK); federal state; region.
Topics: SOCIETY AND CULTURE, MEDIA, COMMUNICATION AND LANGUAGE, Information society, SCIENCE AND TECHNOLOGY, Public health
Date(s) of Data Collection: 07.09.2021 - 08.09.2021
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1002
Sampling Procedure: • Probability: Multistage;
Sampling according to ADM (Arbeitskreise Deutscher Marktforschungsinstitute) based on the Gabler-Häder method; telephone numbers not listed were also taken into account; within the selected households of the fixed network sample, a random sample of the target person was made. For the mobile phone sample, the systematic target person selection was omitted, since mobile phones are almost exclusively used by one person.
Combined fixed-network and mobile phone sample (dual-frame approach)
Ratio of fixed network to mobile telephony 80:20 in the context of a multi-topic survey by Kantar
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 77
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2024
DOI: 10.4232/1.14436, 10.4232/1.13856
Study number: ZA7640
Publisher: GESIS
External links: science barometer
Current Version: 1.0.1, 2024-12-05, https://doi.org/10.4232/1.14436
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.1 | 2024-12-05 Typos corrected (current version) https://doi.org/10.4232/1.14436 |
| 1.0.0 | 2022-01-11 first archive edition https://doi.org/10.4232/1.13856 |
Publications: Wissenschaft im Dialog: Wissenschaftsbarometer 2021
Berlin: 2021
https://www.wissenschaft-im-dialog.de/fileadmin/user_upload/Projekte/Wissenschaftsbarometer/Dokumente_21/WiD-Wissenschaftsbarometer2021_Broschuere_web.pdf
, Kantar: Wissenschaftsbarometer 2021 : Ergebnisse nach Subgruppen. Tabellenband.
Bielefeld: 2021
https://www.wissenschaft-im-dialog.de/fileadmin/user_upload/Projekte/Wissenschaftsbarometer/Dokumente_21/WiD_Wissenschaftsbarometer2021_Tabellenband_final.pdf, Wissenschaft im Dialog: Wissenschaftsbarometer 2014 – 2021 : Repräsentative Bevölkerungsumfrage zu Wissenschaft und Forschung in Deutschland. Methodenbericht
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (3)
information:Publications (3)
Date(s) of Data Collection: 03.11.2020 - 09.11.2020
GESIS Data Archive, Cologne. ZA7639 Data file Version 1.0.0, https://doi.org/10.4232/1.13769
GESIS Data Archive, Cologne. ZA7639 Data file Version 1.0.0, https://doi.org/10.4232/1.13769
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 and information behaviour on science and research topics: Interest in the topics of politics, technology and new technologies, local affairs and science and research; frequency of contact on the internet with the topics of science and research; frequency of use of various information channels about science and research on the internet (Facebook, Twitter or other social networks, blog or online forums, Wikipedia, YouTube or similar video platforms, web presences of scientific institutions or organisations, websites or media libraries of news media such as newspapers, magazines or TV stations, podcasts); trust in science and research; scientific literacy: Understanding of ´doing scientific research´ (open); reasons for trusting scientists (are experts, work according to rules and standards, do research in the interest of the public); reasons for distrusting scientists (often make mistakes, adjust results to their own expectations, are highly dependent on their funders).
2. Social role of research: agreement with statements on the relationship between science and society (scientists make too little effort to inform the public about their work, science and research do more harm than good, I personally benefit from science and research, people trust science too much and not enough their feelings and faith).
3. Corona pandemic: Current Corona measures are appropriate; great knowledge about the Corona virus; trust in statements about Corona from different actors (statements from scientists, from doctors and medical staff, from politicians, from representatives of authorities and offices, from journalists, from relatives, acquaintances and friends); agreement with various statements about science and research in the context of Corona (political decisions in dealing with Corona should be based on scientific evidence, it is not the task of scientists to interfere in politics, we should rely more on common sense in dealing with Corona and we do not need scientific studies for that, science and research on corona are so complicated that I don´t understand much of it, controversy between scientists is helpful because it helps the right research findings to prevail, most scientists who currently comment make a clear distinction between what they already know for sure and what are still open questions about corona); agreement with general statements about Corona (it is important to get one´s information about the Corona virus from outside science as well, scientists do not tell us everything they know about the Corona virus, there is no clear evidence that the Corona virus really exists, the Corona pandemic is being made into a bigger deal than it actually is); willingness to vaccinate against the Corona virus; estimated likelihood of personal infection with the Corona virus; likelihood of serious health effects from personal infection with the Corona virus.
4. Personal relation to science and research: job in science and research; personal acquaintance with a scientist.
Demography: sex; age; education; occupation; occupation in detail; household size; children under 14 in household; net household income; party preference.
Additionally coded were: Interview no.; interview duration (in seconds); weight; city size (BIK); federal state; region.
Topics: SOCIETY AND CULTURE, MEDIA, COMMUNICATION AND LANGUAGE, Information society, SCIENCE AND TECHNOLOGY, Public health
Date(s) of Data Collection: 03.11.2020 - 09.11.2020
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1016
Sampling Procedure: • Probability: Multistage;
Sampling according to ADM (Arbeitskreise Deutscher Marktforschungsinstitute) based on the Gabler-Häder method; telephone numbers not listed were also taken into account, random sample was carried out within the selected households.
Combined fixed-network and mobile phone sample (dual-frame approach)
Ratio of fixed network to mobile network 80:20 within the framework of a multi-topic survey by Kantar - commissioned by Wissenschaft im Dialog.
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 78
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2021
DOI: 10.4232/1.13769
Study number: ZA7639
Publisher: GESIS Data Archive
External links: science barometer
Current Version: 1.0.0, 2021-07-08, https://doi.org/10.4232/1.13769
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2021-07-08 first archive edition (current version) https://doi.org/10.4232/1.13769 |
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Date(s) of Data Collection: 25.05.2020 - 26.05.2020
GESIS Data Archive, Cologne. ZA7636 Data file Version 1.0.0, https://doi.org/10.4232/1.13575
GESIS Data Archive, Cologne. ZA7636 Data file Version 1.0.0, https://doi.org/10.4232/1.13575
Abstract: Every year since 2014, Wissenschaft im Dialog has been using the Science Barometer to collect representative data on the attitudes of German citizens toward science and r ... more
Abstract: Every year since 2014, Wissenschaft im Dialog has been using the Science Barometer to collect representative data on the attitudes of German citizens toward science and r ... more
Date(s) of Data Collection: 25.05.2020 - 26.05.2020
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1021
Sampling Procedure: • Probability: Multistage;
Combined landline and mobile phone sample (dual-frame design)
Ratio of landline to mobile 80:20
Temporal Research Design: Cross-section
Analysis Unit: Individual
Data Collector: Kantar, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 21
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2020
DOI: 10.4232/1.13575
Study number: ZA7636
Publisher: GESIS Data Archive
External links: science barometer
Current Version: 1.0.0, 2020-08-17, https://doi.org/10.4232/1.13575
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2020-08-17 first archive edition (current version) https://doi.org/10.4232/1.13575 |
Study group: Science Barometer, GESIS Community Data
Linked
information:Variables (21)
information:Variables (21)
Date(s) of Data Collection: 15.04.2020 - 16.04.2020
GESIS Data Archive, Cologne. ZA7635 Data file Version 1.0.0, https://doi.org/10.4232/1.13574
GESIS Data Archive, Cologne. ZA7635 Data file Version 1.0.0, https://doi.org/10.4232/1.13574
Abstract: Every year since 2014, Wissenschaft im Dialog has been using the Science Barometer to collect representative data on the attitudes of German citizens towards science and ... more
Abstract: Every year since 2014, Wissenschaft im Dialog has been using the Science Barometer to collect representative data on the attitudes of German citizens towards science and ... more
Date(s) of Data Collection: 15.04.2020 - 16.04.2020
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1009
Sampling Procedure: • Probability: Multistage;
Combined landline and mobile phone sample (dual-frame design)
Ratio of landline to mobile 80:20
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 63
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2020
DOI: 10.4232/1.13574
Study number: ZA7635
Publisher: GESIS Data Archive
External links: science barometer
Current Version: 1.0.0, 2020-08-17, https://doi.org/10.4232/1.13574
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2020-08-17 first archive edition (current version) https://doi.org/10.4232/1.13574 |
Study group: Science Barometer, GESIS Community Data
Linked
information:Variables (63)
information:Variables (63)
Date(s) of Data Collection: 03.09.2019 - 10.09.2019
GESIS Data Archive, Cologne. ZA7634 Data file Version 1.0.0, https://doi.org/10.4232/1.13565
GESIS Data Archive, Cologne. ZA7634 Data file Version 1.0.0, https://doi.org/10.4232/1.13565
Abstract: Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and ... more
Abstract: Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and ... more
Topics: SOCIETY AND CULTURE, MEDIA, COMMUNICATION AND LANGUAGE, Information society, SCIENCE AND TECHNOLOGY
Date(s) of Data Collection: 03.09.2019 - 10.09.2019
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1017
Sampling Procedure: • Probability: Multistage;
Combined landline and mobile phone sample (dual-frame design)
Ratio of landline to mobile 80:20
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Kantar, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 109
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2020
DOI: 10.4232/1.13565
Study number: ZA7634
Publisher: GESIS Data Archive
External links: science barometer
Current Version: 1.0.0, 2020-08-10, https://doi.org/10.4232/1.13565
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2020-08-10 first archive edition (current version) https://doi.org/10.4232/1.13565 |
Publications: Wissenschaft im Dialog (Hrsg.): Wissenschaftsbarometer 2019 – Ergebnisse der jährlichen bevölkerungsrepräsentativen Umfrage zu Wissenschaft und Forschung in Deutschland. Berlin 2020
abrufbar unter: www.wissenschaftsbarometer.de
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (3)
information:Publications (3)
Date(s) of Data Collection: 06.08.2018 - 13.08.2018
GESIS Data Archive, Cologne. ZA6965 Data file Version 1.0.0, https://doi.org/10.4232/1.13241
GESIS Data Archive, Cologne. ZA6965 Data file Version 1.0.0, https://doi.org/10.4232/1.13241
Abstract: Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and ... more
Abstract: Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and ... more
Topics: SOCIETY AND CULTURE, Cultural activities and participation, MEDIA, COMMUNICATION AND LANGUAGE, SCIENCE AND TECHNOLOGY
Date(s) of Data Collection: 06.08.2018 - 13.08.2018
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1008
Sampling Procedure: • Probability: Multistage;
Probability Sample: Multistage Sample
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Telephone interview: CATI (Computer Assisted Telephone Interview)
Data Collector: Kantar EMNID, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 112
Notes:
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2019
DOI: 10.4232/1.13241
Study number: ZA6965
Publisher: GESIS Data Archive
External links: science barometer
Current Version: 1.0.0, 2019-02-19, https://doi.org/10.4232/1.13241
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2019-02-19 first archive edition (current version) https://doi.org/10.4232/1.13241 |
Publications: Wissenschaft im Dialog (Hrsg.): Wissenschaftsbarometer 2018 – Ergebnisse der jährlichen bevölkerungsrepräsentativen Umfrage zu Wissenschaft und Forschung in Deutschland.
Berlin 2018
abrufbar unter: www.wissenschaftsbarometer.de
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Date(s) of Data Collection: 25.07.2017 - 29.07.2017
GESIS Data Archive, Cologne. ZA6947 Data file Version 1.0.0, https://doi.org/10.4232/1.13240
GESIS Data Archive, Cologne. ZA6947 Data file Version 1.0.0, https://doi.org/10.4232/1.13240
Abstract: Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and ... more
Abstract: Since 2014, Wissenschaft im Dialog has been using the science barometer to collect population-representative data on the attitudes of German citizens towards science and ... more
Topics: SOCIETY AND CULTURE, Cultural activities and participation, MEDIA, COMMUNICATION AND LANGUAGE, SCIENCE AND TECHNOLOGY
Date(s) of Data Collection: 25.07.2017 - 29.07.2017
Geographic coverage: Germany (DE)
Universe: German-speaking resident population aged 14 and over in private households
Number of Units: 1007
Sampling Procedure: • Probability: Multistage;
Probability Sample: Multistage Sample
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Telephone interview: CATI (Computer Assisted Telephone Interview)
Data Collector: Kantar EMNID, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 188
Principal Investigator/ Authoring Entity, Institution: Weißkopf, Markus - Wissenschaft im Dialog, Berlin, Ziegler, Ricarda - Wissenschaft im Dialog, Berlin, Kremer, Bastian - Wissenschaft im Dialog, Berlin
Publication year: 2019
DOI: 10.4232/1.13240
Study number: ZA6947
Publisher: GESIS Data Archive
External links: science barometer
Current Version: 1.0.0, 2019-02-19, https://doi.org/10.4232/1.13240
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2019-02-19 first archive edition (current version) https://doi.org/10.4232/1.13240 |
Publications: Wissenschaft im Dialog (Hrsg.): Wissenschaftsbarometer 2017 – Ergebnisse der jährlichen bevölkerungsrepräsentativen Umfrage zu Wissenschaft und Forschung in Deutschland.
Berlin 2017
abrufbar unter: www.wissenschaftsbarometer.de, Ziegler, Ricarda; Kremer, Bastian; Weißkopf, Markus: Medizin und neue Technologien, Analysen und Erkenntnisse, Intelligenz und Ausdauer – Welche Vorstellung hat die Bevölkerung von Wissenschaft und Forschenden? Ergebnisse der offenen Fragestellungen im Wissenschaftsbarometer 2017.
Berlin: Wissenschaft im Dialog gGmbH, 2018
Study group: Science Barometer, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
