{ "@context": "http://schema.org/", "provider": { "@type": "Organization", "name": "da|ra", "url": "https://www.da-ra.de/", "logo": "https://www.da-ra.de/logos/logo-dara-blue@x2.png", "description": "Registration agency for social science and economic data" }, "@type": "Dataset", "additionalType": [ "Survey and aggregate data" ], "@id": "https://doi.org/10.4232/1.12272", "version": "9.0.0", "name": [ "GESIS Panel - Extended Edition" ], "creator": [ { "@type": "Organization", "name": "GESIS" } ], "url": [ "https://dbk.gesis.org/dbksearch/sdesc2.asp?no=5664&db=e&doi=10.4232/1.12272" ], "datePublished": "2015-08-18", "publisher": { "@type": "Organization", "sameAs": "https://www.gesis.org", "name": "GESIS Data Archive" }, "inLanguage": { "@type": "Language", "name": "German" }, "identifier": [ { "@type": "PropertyValue", "propertyID": "ZA-No.", "value": "ZA5664" }, { "@type": "PropertyValue", "propertyID": "da|ra", "value": "ZA5664" } ], "keywords": [ "International Institutions, Relations, Conditions", "Political Attitudes and Behavior", "Political Parties, Organizations", "Work and Industry", "Patterns of Consumption", "Saving, Investment of Money", "Community, Living Environment", "University, Research, the Sciences", "Medicine", "Leisure", "Communication, Public Opinion, Media", "Economic Systems", "Person, Personality, Role", "Natural Environment, Nature", "Social conditions and indicators", "Information society", "Mass media", "Mass political behaviour, attitudes/opinion", "Information technology", "Government, political systems and organisation", "Elections", "Economic systems and development", "Science and technology", "Equality and inequality", "Psychology", "Social stratification and groupings", "General health", "Family life and marriage", "Transport, travel and mobility", "Natural environment", "Labour and employment", "Working conditions", "Leisure, tourism and sport", "Income, property and investment/saving", "Consumption/consumer behaviour", "Natural resources and energy", "Specific diseases and medical conditions", "Economic policy", "Environmental degradation/pollution and protection", "Migration", "Economic conditions and indicators", "Accidents and injuries", "International politics and organisation", "Health policy" ], "spatialCoverage": [ { "@type": "Place", "geo": [ { "@type": "GeoCoordinates", "addressCountry": { "@type": "Country", "name": "Germany" } } ] } ], "description": [ "The GESIS Panel provides a probability-based mixed-mode access panel infrastructure located at GESIS Leibniz Institute for the Social Sciences in Mannheim, Germany. The project offers the social science community an opportunity to collect survey data from a representative sample of the German population. Submitted study proposals are evaluated based on a scientific review process. \n\nPanel members were initially recruited in 2013 in face-to-face interviews followed by a self-administered profile survey. The mode was chosen by the participants. All participants of the profile survey are considered as members of the panel and invited to the bi-monthly regular waves. The starting cohort encompassed 4900 panelists at the beginning of 2014. \n\nIn order to compensate for panel attrition, a refreshment sample was drawn in 2016, using the General Social Survey (ALLBUS) interview as vehicle. The initial cohort encompasses German speaking respondents aged between 18 and 70 years (at the time of recruitment) and permanently residing in Germany, whereas the second cohort includes respondents from the age of 18 without upper restriction.\n\nIn 2018 a third recruitment sample was drawn, which was integrated with the wave ge. The third cohort also includes respondents aged 18 and over without an upper limit.\nRetroactively, cases up to and including wave fc (third wave from 2018) were added to the data. The Data Manual (ZA5664-65_sd_data-manual) has been reissued and there is a corresponding recruitment report (ZA5664-65_mb_recruitment2018).\n \nThe ALLBUS Sample is based on a disproportional sampling of respondents from the western and eastern part of Germany. A design weight that enables integration of the two recruitment cohorts is included into the dataset. \nFor more details, please see the methods reports of the recruitment processes and die GESIS Panel reference paper (Bosnjak et al., 2017). \n\nIn March 2020, a special GESIS panel survey was conducted on the SARS-CoV-2 resp. COVID-19 coronavirus outbreak in Germany. \n\nThe following description of the contents begins with the most recent wave.\n\nPart of every survey for all respondents (except in the Recruitment Interview):\nmode of invitation; mode of participation; date of the beginning an the end of the fieldwork; break during the survey and its duration; date, on wich the questionnaire was completed; estimated duration; mode of participation; place of participation (at home or somewhere else); duration of the questionnaie (online); page history and last completed page (online); time needed to complete each page (online); date of receipt; shape and version of the received questionnaire (offline); AAPOR wave code; disposition code (online); conceptual stimulus of the question (through wave bb); comprehensability of the questions; from on wave ba: difficulties in answering the questions; other people present during the interview; respondents feedback; from on wave aa: JavaScript version; Flash version; Browser information: User Agent String (UAS); from on wave cb: experimental variable: groups; from on wave ec: recruitment cohort and weight;\nsurvey evaluation (part of every panel wave): respondents evaluation of the questionnaire. Wave db closes with study zq on survey evaluation, which is a GESIS Panel Longitudinal Core Study and is part of every panel wave. \nRespondents paradata are documented in a separate csv file (see codebook).\n\nWave hb:\nSocial and political participation (GESIS Panel Longitudinal Core Study Module): Interest in politics; political participation (contacted a politician, worked in a political party, signed a petition, participated in a demonstration, bought or boycotted a certain product, worked in a citizens\u00b4 initiative, expressed an opinion on political issues, wrote to the editor of a newspaper, participated in politics in another way, informed on the internet); intention to vote in the next federal election and voting decision (Sunday question); frequency of reception of political news; participation in associations, clubs and organisations in the last 12 months (sports and leisure club, church or religious organisation, association for art, music, cultural activities, social movement, political party, trade union, youth organisation, charity, parents\u00b4 or school association, other); contacts with friends; Political efficacy (politics is too complicated, easy to form opinions about political issues, politicians are interested in votes and not in people\u00b4s opinions, politicians do not care what people think; general trust; trust in public institutions or groups of people (Bundestag, Federal Government, political parties, courts, police, politicians, media, European Union, United Nations, Federal Constitutional Court); satisfaction with democracy; Left-Right-Selfplacement.\n\nSubjective well-being (GESIS Panel Longitudinal Core Study Module): happiness in the previous cource of life, currently happy and expectation in one year; life satisfaction (satis...", "Cohort 1: German-speaking population between 18 and 70 years of age with permanent residence in Germany\nCohort 2: German-speaking population over 18 years of age with permanent residence in Germany\nCohort 3: German-speaking population over 18 years of age with permanent residence in Germany", "Probability: Multistage; Sampling Procedure Comment: Probability Sample: Multistage Sample", "Recruitment Interview:\nFace-to-face interview: CAPI (Computer Assisted Personal Interview)\n\nFollowing Waves:\nSelf-administered questionnaire: CAWI (Computer Assisted Web Interviewing)\nSelf-administered questionnaire: Paper\n\nCoronavirus outbreak in Germany (wave hz, March 2020): Self-administered questionnaire: CAWI (Computer Assisted Web Interviewing)", "Integration into the GESIS Panel dataset: In contrast to the dataset of the first recruitment cohort (a1), the data set of the second cohort (d1) does not include the data of the whole recruitment interview. The dataset only includes basic information from the recruitment interview for respondents that provided consent to subsequent panel participation. Furthermore, the information from the ALLBUS interview is restricted to basic demographic information that is needed. Structure of the data set: The integration of the second cohort and the increase of waves made a reorganization of the data set necessary. Initially, the GESIS Panel data were provided as one incremental increasing data set that contained all respondents and all waves. With the integration of the second cohort, the data set will be delivered separated by years and cohorts. For a comprehensive overview of the structure of the GESIS Panel data, please refer to the GESIS Panel data manual document." ], "temporalCoverage": [ "2013-06-08/2013-12-01", "Recruitment Interview (cohort 2013)", "2013-05-02/2016-09-23", "Recruitment Interview (cohort 2016)", "2018-04/2018-09", "Recruitment Interview (cohort 2016)", "2013-06-26/2014-01-31", "Welcome Survey", "2013-08-21/2013-10-14", "wave aa", "2013-10-16/2013-12-10", "wave ab", "2013-12-11/2014-02-19", "wave ac", "2014-02-19/2014-04-15", "wave ba", "2014-04-16/2014-06-17", "wave bb", "2014-06-18/2014-08-12", "wave bc", "2014-08-13/2014-10-14", "wave bd", "2014-10-15/2014-12-16", "wave be", "2014-12-17/2015-02-17", "wave bf", "2015-02-18/2015-04-14", "wave ca", "2015-04-15/2015-06-16", "wave cb", "2015-06-17/2015-08-11", "wave cc", "2015-08-12/2015-10-14", "wave cd", "2015-10-14/2015-12-15", "wave ce", "2015-12-15/2016-02-16", "wave cf", "2016-02-17/2016-04-19", "wave da", "2016-04-20/2016-06-14", "wave db", "2016-06-15/2016-08-16", "wave dc", "2016-08-17/2016-10-18", "wave dd", "2016-10-19/2016-12-13", "wave de", "2016-12-14/2017-02-14", "wave df", "2017-02-15/2017-04-18", "wave ea", "2017-04-19/2017-06-13", "wave eb", "2017-06-14/2017-08-15", "wave ec", "2017-09-12/2017-09-23", "wave ed", "2017-10-18/2017-12-12", "wave ee", "2017-12-13/2018-02-13", "wave ef", "2018-02-14/2018-04-17", "wave fa", "2018-04-18/2018-06-12", "wave fb", "2018-06-13/2018-08-14", "wave fc", "2018-08-15/2018-10-16", "wave fd", "2018-10-05/2018-12-11", "wave fe", "2018-12-12/2019-02-12", "wave ff", "2019-02-13/2019-04-16", "wave ga", "2019-04-17/2019-06-11", "wave gb", "2019-06-12/2019-08-13", "wave gc", "2019-08-14/2019-10-15", "wave gd", "2019-10-16/2019-12-10", "wave ge", "2019-12-11/2020-02-11", "wave gf", "2020-03-17/2020-03-29", "wave hz", "2020-05-20/2020-07-07", "wave hb" ], "contributor": [ { "@type": "Organization", "name": "GESIS Panel Team" }, { "@type": "Organization", "name": "Recruitment Interview (Cohort 1 und 2): TNS Infratest Sozialforschung, M\u00fcnchen Rekrutierungsbefragung (Cohort 2): Kantar Public, M\u00fcnchen Following Waves: GESIS Panel" } ] }