German Internet Panel, Wave 43 - Core Study (September 2019)
收藏CESSDA2023-03-15 更新2024-08-03 收录
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https://datacatalogue.cessda.eu/detail?lang=en&q=639fb20483576d0af0bfa391d4210da681084ba7b96b4b2140b201ef672c07ea
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资源简介:
The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.
Topics: Verification of recorded personal data of the respondent, such as surname, first name, sex, year of birth, mobile phone number and landline number (information correct or incorrect) and, if necessary, correction of previous information or addition of mobile phone number and landline number; German citizenship; household composition: age and sex of all household members and their relationship to the respondent; federal state of principal residence; highest educational degree; highest professional qualification; current (professional) activity; current or previous employment; current or last main employment status; current or last occupational status; time limit of the current or last employment contract; current or previous employment in the public sector; economic sector; religion; self-assessment of religiousness; frequency of computer use besides the study Gesellschaft im Wandel; frequency of Internet usage; daily Internet usage; satisfaction with selected areas of life (family life, leisure time, financial situation and work); social activities: active or passive membership in selected organisations and associations (sports, music or cultural club, human rights, environmental or animal protection association, charity or aid organisation, religious or church organisation, youth, parents´ or senior citizens´ association, citizens´ initiative, professional association, trade union, political party); left-right self-placement; left-right party placement (CDU/CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke and AfD); party affiliation and party identification; financial situation: personal net income (classified); number of income contributing persons; respondent contributes to household income; net household income (classified); voting behaviour in the last federal election.
Demography: sex; age (year of birth, categorized); highest educational degree; highest professional degree; marital status; household size; employment status; German citizenship; frequency of private Internet usage; federal state.
Additionally coded: Respondent ID; household ID, GIP; person ID (within the household); year of recruitment (2012, 2014, 2018); interview date; current online status; respondent did not provide information to verify recorded personal information.
提供机构:
GESIS Data Archive for the Social Sciences
创建时间:
2021-07-12



