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Date(s) of Data Collection: 06.10.2023 - 19.10.2023
GESIS, Cologne. ZA8728 Data file Version 1.0.0, https://doi.org/10.4232/1.14301
GESIS, Cologne. ZA8728 Data file Version 1.0.0, https://doi.org/10.4232/1.14301
Abstract: The study on political tasks with a particular need for action was conducted by the Allensbach Institute for Public Opinion Research on behalf of the Press and Informatio ... more
Abstract: The study on political tasks with a particular need for action was conducted by the Allensbach Institute for Public Opinion Research on behalf of the Press and Informatio ... more
Content: Areas of major concern; areas in need of reform in Germany; areas in which reforms by the federal government are expected; perception of measures adopted by the traffic light government in the past two years or planned for the future (e.g. expansion of all-day care for primary school children, introduction of an electronic patient file, introduction of an equity pension, etc.); assessment of these measures as correct vs. not correct; perceived improvement vs. Deterioration of the situation in various areas over the past two years (healthcare, care for people in need of long-term care, pensions and old-age provision, availability of affordable housing, education system); areas in which the government has initiated the right reforms, reforms that are going in the wrong direction or have not done much (healthcare, care for people in need of long-term care, pensions and old-age provision, availability of affordable housing, education system).
Healthcare system: Assessment of the healthcare system and healthcare provision in Germany; trust in good medical care in general and in emergencies; requirements to ensure good healthcare provision in ten years´ time (remedy the shortage of skilled workers in the nursing professions, admit more students to medical degree programs, increase health insurance contributions, reduce health insurance benefits, improve healthcare provision in rural areas, merge hospitals, reduce bureaucracy and documentation requirements for doctors and nursing staff, drive forward the nationwide introduction of electronic patient records, manufacture important medical products such as protective clothing or certain medicines in Germany, expand digital services for patients, e.g. video consultations with the attending physician, design and prepare emergency plans for pandemics); key players for good healthcare in the future (politicians, doctors, health insurance companies, others); assessment of the healthcare and care situation in the region (there are not enough doctors in the region, all in all there is good medical care in the region, there is a lack of staff in the hospitals, it is difficult to get a place with an outpatient care service or in a nursing home, the nursing homes in the region lack qualified staff, the nursing homes in the region offer good overall care for people in need of care, the emergency rooms in hospitals are often overloaded, the nursing homes are very expensive, there is sufficient space in nursing homes, there is a lack of qualified staff in doctors´ surgeries, hospitals are being closed or merged); family members currently in need of care or expected need of care of a family member in the next 5 to 10 years; respondent cares for family members himself or expects to do so in the future.
Housing: Satisfaction with current housing situation; housing status; perceived burden of rental costs and utilities; change in rent level in recent years; house or apartment is big enough, need more space, even have too much space; characterization of the housing market and housing situation in the region (many vacant houses or apartments, many people move in, population is increasing, many young people, many people move away, population is decreasing, it is very difficult to find an apartment or house, many foreigners or refugees live here, residential area is attractive, many new apartments and houses are being built, many families with children, very high housing costs, mainly older people live here, real estate prices and rents have been rising for years, more and more newcomers and fewer and fewer people from here live here, unsafe residential area, lots of crime, good infrastructure, well suited for older people); suitable measures to create more affordable housing (promotion of social housing, rent subsidies for low-income earners (housing benefit); limiting rent increases (rent freeze), support for low- and middle-income families to buy their own home, upper limit for rents in a region (rent cap); financial support for people who want to buy their own home to provide for their old age, denser development of residential areas, raising the height of existing buildings by adding additional storeys, easing government regulations, e.g. energy standards, increased construction of apartment buildings instead of single-family homes in urban areas, faster issuance of building permits, state subsidies for the purchase of houses in need of renovation, tax incentives for residential construction (better depreciation options), conversion of commercial properties into residential space).
Education: Education system needs comprehensive reform vs. no need for reform; vocational education and training needs comprehensive reform vs. no need for reform; children going to school; satisfaction with child/children´s school; main problems at children´s school or the main problems at schools in general that need to be solved as a matter of urgency (too many lessons are canceled, curricula do not meet today´s requirements, classes are too large, teachers are not trained well enough, too little after-school care, many pupils do not have sufficient German language skills, many refugee children need to be integrated into classes, lack of discipline in classes, too few teachers, increasing violence, too much pressure on pupils to perform, too few support opportunities for children from socially disadvantaged families, too long journeys, poor digital equipment, dilapidated buildings, school not prepared enough for inclusion); preference with regard to responsibility for education policy (primarily the federal states, federal government and federal states together or only the federal government).
Pension: Pension is secure vs. doubts about pension security; opinion on the need to reform the pension system; particularly important political measures for reliable old-age provision (increase retirement age, state should offer a new product for private old-age provision to supplement the statutory pension, provide greater support for private and occupational pension provision, increase contributions to statutory pension insurance, oblige all occupational groups to pay into pension insurance, including civil servants, the self-employed, politicians, create incentives to work longer beyond the retirement age, increase taxes to finance statutory pension insurance, oblige citizens to make private provision in addition to statutory pension insurance, state should build up capital whose income should stabilize pension contributions); respondent lives entirely or predominantly on an old-age pension or retirement pension; own (previous) efforts to provide for old age sufficient vs. not sufficient; satisfaction with the amount of own pension; assessment of personal financial situation in old age; people affected by old-age poverty among friends or family; assessment of own financial situation.
Demography: sex; age; age categories; school-leaving qualification; occupation; occupational status; monthly net income of main earner (grouped); main earner (respondent, other person in household); children; number of children; age of children; number of children in household; multi-person household or single household; number of people in household with own income; monthly net household income (grouped); marital status; living with a partner; interest in politics; party sympathy.
Additionally coded were: external questionnaire number; indicator of the questionnaire West-East; weighting; Nielsen areas; population of place of residence (size of place); character of place of residence; socio-economic status; respondent has named at least one of the 20 areas of major concern; respondent has named at least one of the 19 areas in need of reform in Germany; respondent has named at least one of the 19 areas in which reforms are expected from the federal government; named at least one of the 24 measures adopted by the traffic light government; named at least one of the 11 requirements to ensure good healthcare in ten years´ time; named at least one of the 4 most important players for good healthcare in the future; named at least one of the 11 points to assess the healthcare and care situation in the region; named at least one of the 16 points to characterize the region; named at least one of the 14 suitable measures to create more affordable housing; named at least one of the 14 main problems at schools; named at least one of the 16 main problems at the children´s school or at schools in general; named at least one of the 9 important political measures for reliable old-age provision.
Topics: Educational policy, Health care services and policies, Housing, Retirement, Government, political systems and organisations, Social welfare policy, Social welfare systems/structures, Community, urban and rural life, Economic conditions and indicators
Date(s) of Data Collection: 06.10.2023 - 19.10.2023
Geographic coverage: Germany (DE)
Universe: German population aged 16 and over
Number of Units: 1010
Sampling Procedure: • Non-probability: Quota;
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview;
Data Collector: Institut für Demoskopie Allensbach
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 287
Notes: The study was commissioned by the Federal Press Office.
The findings are supplemented by results from eight qualitative group discussions with eight participants each from the Erfurt, Dresden, Essen and Munich areas, which GIM conducted on behalf of the BPA from October 9 to 12, 2023. Only the results report is available for this qualitative study; no data was archived.
Principal Investigator/ Authoring Entity, Institution: - Presse- und Informationsamt der Bundesregierung, Berlin
Publication year: 2024
DOI: 10.4232/1.14301
Study number: ZA8728
Publisher: GESIS
Research data center: FDZ Wahlen bei GESIS
External links: Federal Press Office
Current Version: 1.0.0, 2024-05-27, https://doi.org/10.4232/1.14301
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-05-27 first archive edition (current version) https://doi.org/10.4232/1.14301 |
Publications: Institut für Demoskopie Allensbach: Politische Aufgaben mit besonderem Handlungsbedarf : Ergebnisse einer Repräsentativbefragung der Bevölkerung ab 16 Jahre.
Allensbach: IfD-Allensbach, November 2023
, Auswertungen zu Studie ZA8728 – Politische Aufgaben mit besonderem Handlungsbedarf (Oktober 2023).
Herausgeber: Institut für Demoskopie Allensbach
, GIM Gesellschaft für Innovative Marktforschung mbH: Politische Aufgaben mit besonderem Handlungsbedarf : Eine qualitative Studie. Bericht für Presse- und Informationsamt der Bundesregierung.
Heidelberg: GIM, November 2023
Study group: Surveys commissioned by the Press and Information Office of the Federal Government, GESIS Community Data
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2605
Other Title (type): The effect of education system and school characteristics on the gender gap in competencies. An international comparison. (Projekttitel)
Abstract: Contents of the dataset on country/macro level includes nine variables considering school and education system characteristics as well as country characteristics:
number ... more
Abstract: Contents of the dataset on country/macro level includes nine variables considering school and education system characteristics as well as country characteristics:
number ... more
Availability: Free access (with registration)
Subject area: Sociology of Education
Topics: Education policy, Educational research, Education finance, Gini coefficient, School attendance, School policy, Secondary school, Primary school, Index number, differentiation, preschool school, PISA study, macrosociology, indicator, compulsory education
Temporal Research Design: cross-section
Primärforschende, Institution: Zapfe, Laura; Universität Würzburg
Publication year: 2023
DOI: 10.7802/2605
Study number: SDN-10.7802-2605
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2605
Publications: [Zapfe, Laura (in press): The effect of education system and school characteristics on the gender gap in competencies. An international comparison. Wiesbaden: Springer., Zapfe, Laura (2023). Code/Syntax: The effect of education system and school characteristics on the gender gap in competencies. An international comparison. Datenfile Version 1.0.0, https://doi.org/10.7802/2603
Global Dynamics of Social Policy (CRC 1342). Data File Version 1.0.0, https://doi.org/10.7802/2379
Abstract: This data set consists of a matrix in which the entries represent the number of years of
compulsory education as defined in the legal framework. The rows denote countrie ... more
Abstract: This data set consists of a matrix in which the entries represent the number of years of
compulsory education as defined in the legal framework. The rows denote countrie ... more
Availability: Free access (without registration)
Subject area: Political Science
Topics: educational policy
Date(s) of Data Collection: 2020-01; 2020-09
Geographic coverage (free): [Global]
Universe: all modern nation states
Temporal Research Design: Time series
Primärforschende, Institution: Besche-Truthe, Fabian; Sonderforschungsbereich 1342 "Globale Entwicklungsdynamiken von Sozialpolitik"
Publication year: 2022
DOI: 10.7802/2379
Study number: SDN-10.7802-2379
Contributor, Institution, Role: Roth, Philip; Sonderforschungsbereich 1342 "Globale Entwicklungsdynamiken von Sozialpolitik" (Data Collector)
Project funder: Deutsche Forschungsgemeinschaft
Publisher: Global Dynamics of Social Policy (CRC 1342)
Current Version: 1.0.0, https://doi.org/10.7802/2379
Publications: Besche-Truthe F. (2022) The Global Trajectories of Compulsory Education: Clustering Sequences of Policy Development. In: Martens K., Windzio M. (eds) Global Pathways to Education. Global Dynamics of Social Policy. Palgrave Macmillan, Cham.
Date(s) of Data Collection: 15.06.2016 - 15.08.2016
GESIS, Cologne. ZA6272 Data file Version 1.0.0, https://doi.org/10.4232/1.13958
GESIS, Cologne. ZA6272 Data file Version 1.0.0, https://doi.org/10.4232/1.13958
Other Title (type): Studie: Eine Befragung der unmittelbaren Mitgliedsstädte des Deutschen Städtetages zur Finanzierung und Organisation kultureller Bildung (Subtitle)
Abstract: The organization, financing and management of cultural education services and institutions in Germany is extraordinarily heterogeneous. Responsibilities for public fundin ... more
Abstract: The organization, financing and management of cultural education services and institutions in Germany is extraordinarily heterogeneous. Responsibilities for public fundin ... more
Date(s) of Data Collection: 15.06.2016 - 15.08.2016
Geographic coverage: Germany (DE)
Universe: Direct member cities of the German Association of Cities (N=200) /including: departments responsible for cultural education within the city administration
Number of Units: 104
Sampling Procedure: • Total universe/Complete enumeration;
All 200 direct member cities of the German Association of Cities were contacted. This is a full survey of all - direct - members, including all independent cities and the city states of Berlin, Hamburg and Bremen.
Temporal Research Design: Cross-section
Analysis Unit: Organization/Institution
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI);
Data Collector: Prognos AG
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 157
Notes: Survey unit: Authorities###
Principal Investigator/ Authoring Entity, Institution: Jebe, Frank - , Lichtschlag, Margrit - , Knittel, Tilmann - , Lehmann, Klaudia - , van Hooven, Andreas -
Publication year: 2022
DOI: 10.4232/1.13958
Study number: ZA6272
Contributor, Institution, Role: GESIS - Distributor, GESIS - HostingInstitution, Deutscher Städtetag - Other, Rat für Kulturelle Bildung e.V. - DataCurator
Publisher: GESIS
External links: project report
Current Version: 1.0.0, 2022-08-09, https://doi.org/10.4232/1.13958
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2022-08-09 first archive edition (current version) https://doi.org/10.4232/1.13958 |
Publications: Rat für Kulturelle Bildung e. V. (Hrsg.)(2016): Städte/Geld/Kulturelle Bildung. Horizont 2016. Studie: Eine Befragung der unmittelbaren Mitgliedsstädte des deutschen Städtetages zur Finanzierung und Organisation kultureller Bildung. [PDF]. URL: https://www.rat-kulturelle-bildung.de/fileadmin/user_upload/pdf/2016-12-08_RFKB_Sta__dtebefragung_Vollversion_WEB_FINAL.pdf (Stand: 15.07.2022), Rat für Kulturelle Bildung e.V. (2017) (Hrsg.): Mehr als weniger als gleich viel. Zum Verhältnis von Ökonomie und Kultureller Bildung [PDF]. URL: https://www.bosch-stiftung.de/sites/default/files/publications/pdf_import/Mehr_als_weniger_als_gleich_viel.pdf (Stand: 20.09.2022)
Study group: Studies of "Verbund Forschungsdaten Bildung", GESIS Community Data
Linked
information:Variables (157)
information:Variables (157)
European Commission, Brussels; Directorate General Communication COMM.A.1 ‘Strategy, Corporate Communication Actions and Eurobarometer’; European Parliament, Directorate-General for Communication, Public Opinion Monitoring Unit
Date(s) of Data Collection: 09.04.2016 - 25.04.2016
GESIS Data Archive, Cologne. ZA6696 Data file Version 2.0.0, https://doi.org/10.4232/1.13392
GESIS Data Archive, Cologne. ZA6696 Data file Version 2.0.0, https://doi.org/10.4232/1.13392
Other Title (type): European Youth in 2016 (Original Title)
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Content: Topics: 1. European Youth in 2016: personal experience with regard to the free movement of citizens within the EU: already made use of, wish to make use of, feeling compelled to make use of due to the crisis; assessment of the appropriateness of training and school and university education to the current world of work; importance of teaching young Europeans about the EU and its institutions; awareness of the EU initiative ´Youth Guarantee´; feeling of marginalization of young people due to the economic crisis; attitude towards online social networks in relation to democracy: represent progress, represent a risk; preferred ways of participating in EU public life; personal measures taken to protect the environment and combat climate change.
Demography: nationality; age; age at end of education; left-right self-placement; marital status; sex; occupation; professional position; type of community; household composition and household size; possession of durable goods (entertainment electronics, internet connection, possession of a car, a flat/a house have finished paying for or still paying for); financial difficulties during the last year; internet use (at home, at work, at school); self-reported belonging to the working class, the middle class or the upper class of society; life satisfaction; frequency of discussions about political matters on national, European, and local level; own voice counts in the own country and in the EU; general direction things are going in the own country and in the EU; image of the EU; frequency of the following online activities: use of search engines, use of online social networks, use of online marketplaces.
Additionally coded was: respondent ID; country; size of locality; region; language of the interview; nation group; weighting factor.
Date(s) of Data Collection: 09.04.2016 - 25.04.2016
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), Great Britain (GB-GBN), Northern Ireland (GB-NIR), 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 28 Member States and aged 16 to 30 years.
Number of Units: 10294
Sampling Procedure: Probability Sample: Multistage Sample
Analysis Unit: Individual
Mode of Data Collection: Face-to-face interview
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa, Prague, Czech Republic;
TNS GALLUP DK, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
Behaviour & Attitudes, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Spain, Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS Italia, Milan, Italy;
CYMAR Market Research, Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
TNS ILReS, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
ipr Umfrageforschung, Vienna, Austria;
TNS Polska, Warsaw, Poland;
TNS Portugal, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
Mediana, Ljubljana, Slovenia;
TNS Slovakia, Bratislava, Slovakia;
TNS GALLUP Oy, Espoo, Finland;
TNS Sifo, Stockholm and Gothenburg, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
TNS opinion, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Number of Variables: 281
Notes: Eurobarometer 85.1OVR consists of the respondents aged 16 to 30 years from the basic wave Eurobarometer 85.1 (ZA6693), complemented with an oversample of young people of the same age group. In addition to the basic sample about 200 young respondents in each country were interviewed (about 260 in GB and about 300 in DE).
Questions D62 and D79 are not included in the basic questionnaire but in the dataset. Users may consult the questionnaire of Eurobarometer 85.1 (ZA6693). Please note that cases coded “9”/”99” (“DE-E DE-W GB-GBN”) in questions D62 and D79 are identical with the system missing cases coded “99999999” in variable caseid resp. “999999999” in variable uniqid.
No data are made available for protocol items p1 to p5 and p8 to p11.
Principal Investigator/ Authoring Entity, Institution: - European Commission, Brussels; Directorate General Communication COMM.A.1 ‘Strategy, Corporate Communication Actions and Eurobarometer’, - European Parliament, Directorate-General for Communication, Public Opinion Monitoring Unit
Publication year: 2020
DOI: 10.4232/1.13392, 10.4232/1.12642
Alternate IDs: doi:10.3886/ICPSR36673.v1
Study number: ZA6696
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 2.0.0, 2020-02-13, https://doi.org/10.4232/1.13392
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 2.0.0 | 2020-02-13 Archive edition (current version) https://doi.org/10.4232/1.13392 |
| 1.0.0 | 2016-10-14 Archive pre-release https://doi.org/10.4232/1.12642 |
Errata in current version:
| Date | Name | Description |
|---|---|---|
| 2016-10-14 | p1 to p5 | No data are made available for protocol items p1 (date of interview), p2 (time of interview begin), p3 duration of interview), p4 (n of persons present during the interview) and p5 (respondent cooperation). |
Publications: European Parliament:
European Parliament Special Eurobarometer (EB 85.1): European Youth in 2016.
Conducted by TNS opinion at the request of the European Parliament and co-ordinated by the European Commission, Directorate-General for Communication. Brussels, May 2016.
http://www.europarl.europa.eu/pdf/eurobarometre/2016/eye2016/eb85_1_eye_2016_analytical_overview_en.pdf
Study group: EB - Standard and Special Eurobarometer
Date(s) of Data Collection: 17.10.2014 - 27.11.2014
GESIS Data Archive, Cologne. ZA6973 Data file Version 1.0.0, https://doi.org/10.4232/1.13183
GESIS Data Archive, Cologne. ZA6973 Data file Version 1.0.0, https://doi.org/10.4232/1.13183
Abstract: Attitudes, needs, assessments and wishes of parents of children with special educational needs.
Topics: Perception of reporting on the subject of joint learning in the m ... more
Abstract: Attitudes, needs, assessments and wishes of parents of children with special educational needs.
Topics: Perception of reporting on the subject of joint learning in the m ... more
Topics: Educational policy
Date(s) of Data Collection: 17.10.2014 - 27.11.2014
Geographic coverage: Germany (DE)
Universe: Parents of children with special educational needs at primary and special schools
Number of Units: 304
Sampling Procedure: • Non-probability: Quota;
Non-Probability Sample: Quota Sample
Quota Sample according to the characteristics of Nielsen areas, type of school of the child (special school vs. regular school), nationality of the parents (German vs. other), educational attainment of the parents
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview: Computer-assisted (CAPI/CAMI);
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Data Collector: Ipsos Public Affairs, Hamburg
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 287
Notes: Survey unit: parents###
Principal Investigator/ Authoring Entity, Institution: Neu, Viola - Konrad-Adenauer-Stiftung, Berlin, - Konrad-Adenauer-Stiftung, Berlin
Publication year: 2018
DOI: 10.4232/1.13183
Study number: ZA6973
Contributor, Institution, Role: Neu, Viola - Konrad-Adenauer-Stiftung - ProjectLeader, GESIS Köln - Distributor, GESIS Köln - HostingInstitution
Publisher: GESIS Data Archive
External links: Konrad-Adenauer-Stiftung
Current Version: 1.0.0, 2018-11-22, https://doi.org/10.4232/1.13183
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2018-11-22 first archive edition (current version) https://doi.org/10.4232/1.13183 |
Study group: Studies of "Verbund Forschungsdaten Bildung", Studies Konrad-Adenauer-Stiftung, GESIS Community Data
Linked
information:Variables (287)
information:Variables (287)
Date(s) of Data Collection: 15.04.2014 - 28.05.2014
GESIS Data Archive, Cologne. ZA6961 Data file Version 1.0.0, https://doi.org/10.4232/1.13140
GESIS Data Archive, Cologne. ZA6961 Data file Version 1.0.0, https://doi.org/10.4232/1.13140
Abstract: Objective: The INVEDUC project analyses public attitudes and preferences of citizens regarding different aspects of education policy in eight Western European countries. ... more
Abstract: Objective: The INVEDUC project analyses public attitudes and preferences of citizens regarding different aspects of education policy in eight Western European countries. ... more
Topics: Educational policy, Vocational education and training, Higher and further education, Compulsory and pre-school education, Political behaviour and attitudes, Specific social services: use and availability, Social welfare policy, Social welfare systems/structures
Date(s) of Data Collection: 15.04.2014 - 28.05.2014
Geographic coverage: Denmark (DK), Germany (DE), France (FR), United Kingdom (GB), Ireland (IE), Italy (IT), Spain (ES), Sweden (SE)
Universe: Respective population in eight Western European countries aged 18 years and over with landline or mobilephone
Number of Units: 8905
Sampling Procedure: Mobile numbers
Probability Sample: Simple Random Sample
Landline numbers
Probability Sample: Multistage Sample
Mode of Data Collection: Telephone interview: CATI (Computer Assisted Telephone Interview)
Data Collector: TNS Infratest Sozialforschung
Analysis System(s): SPSS, Stata
Number of Variables: 180
Notes: When using this dataset, please cite the following paper:
Busemeyer, Marius R./Garritzmann, Julian L./Neimanns, Erik/Nezi, Roula, 2018: Investing in Education in Europe: Evidence from a New Survey of Public Opinion, Journal of European Social Policy 28(1): 34-54.
https://doi.org/10.1177/0958928717700562
This article provides an overview of the survey as well as some general descriptive statistics.
Further publications of findings from the survey include:
Busemeyer, Marius R./Garritzmann, Julian L. 2017. Public opinion on budgetary and policy trade-offs in European welfare states: Evidence from a new comparative survey, Journal of European Public Policy 24(6): 871-889.
This paper studies how support for education spending changes when respondents are reminded of fiscal and policy trade-offs.
Busemeyer, Marius R./Garritzmann, Julian L. 2017. Academic, Vocational or General? An Analysis of Public Opinion towards Education Policies with Evidence from a New Comparative Survey, Journal of European Social Policy 27(4): 373-386.
In this paper, we analyze the determinants of support for the distribution of spending across different sectors of the education system, focusing on the difference between academic and vocational education.
Garritzmann, Julian L./Busemeyer, Marius R./Neimanns, Erik. 2018. Public Demand for Social Investment: New Supporting Coalitions for Welfare State Reform in Western Europe? Journal of European Public Policy 25(6): 844-861.
This paper focuses on the exploration of different supporting coalitions of social investment vs. social transfer and workfare policies.
Neimanns, Erik/Busemeyer, Marius R./Garritzmann, Julian L. 2018. How popular are social investment policies really? Evidence from a new public opinion survey in Western Europe, European Sociological Review 34(3): 238-253.
In this article, we probe the robustness of support for social investment reforms when these would have to be financed by cutbacks in other parts of the welfare state.
Further notes on the dataset:
The dataset includes occupational codes (coded according to the ISCO 88 scheme). These have been used to construct indicators of socio-economic classes following the scheme developed by Daniel Oesch. The documentation provides further details. We also provide a do-File, which contains operationalisations of the most important independent and dependent variables. Researchers are of course free to make use of these operationalizations (which fit the definitions and operationalisations in the published papers mentioned above) or develop their own versions.
Principal Investigator/ Authoring Entity, Institution: Busemeyer, Marius R. - Universität Konstanz, Garritzmann, Julian - Universität Konstanz, Neimanns, Erik - Universität Konstanz, Nezi, Roula - Universität Konstanz
Publication year: 2018
DOI: 10.4232/1.13140
Study number: ZA6961
Contributor, Institution, Role: Garritzmann, Julian - University of Konstanz - ProjectMember, Neimanns, Erik - University of Konstanz - ProjectMember, Nezi, Roula - University of Konstanz - ProjectMember
Publisher: GESIS Data Archive
External links: Project homepage
Current Version: 1.0.0, 2018-09-18, https://doi.org/10.4232/1.13140
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2018-09-18 first archive edition (current version) https://doi.org/10.4232/1.13140 |
Publications: Busemeyer, Marius R.; Garritzmann, Julian L.; Neimanns, Erik; Nezi, Roula (2018): Investing in Education in Europe: Evidence from a New Survey of Public Opinion.
Journal of European Social Policy 28(1): 34-54., Busemeyer, Marius R.; Garritzmann, Julian L. (2017): Public opinion on budgetary and policy trade-offs in European welfare states: Evidence from a new comparative survey.
Journal of European Public Policy 24(6): 871-889.
, Busemeyer, Marius R.; Garritzmann, Julian L. (2017): Academic, Vocational or General? An Analysis of Public Opinion towards Education Policies with Evidence from a New Comparative Survey.
Journal of European Social Policy 27(4): 373-386.
, Garritzmann, Julian L.; Busemeyer, Marius R.; Neimanns, Erik (2018): Public Demand for Social Investment: New Supporting Coalitions for Welfare State Reform in Western Europe?
Journal of European Public Policy 25(6): 844-861.
, Neimanns, Erik; Busemeyer, Marius R.; Garritzmann, Julian L. (2018): How popular are social investment policies really? Evidence from a new public opinion survey in Western Europe.
European Sociological Review 34(3): 238-253.
Study group: GESIS Community Data
Date(s) of Data Collection: 26.04.2014 - 11.05.2014
GESIS Data Archive, Cologne. ZA5914 Data file Version 3.0.0, https://doi.org/10.4232/1.12918
GESIS Data Archive, Cologne. ZA5914 Data file Version 3.0.0, https://doi.org/10.4232/1.12918
Other Title (type): The Environment and the European Area of Skills and Qualifications (Subtitle)
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Abstract: Since the early 1970s the European Commission´s Standard & Special Eurobarometer are regularly monitoring the public opinion in the European Union member countries. P ... more
Content: Topics: 1. Attitudes of European citizens towards the environment: personal importance of environmental protection; most important environmental issues; self-rated knowledge about environmental issues; issues where respondent lacks information most; main sources of information about the environment; most trustworthy institutions or persons regarding the provision of information about environmental issues; preferred evaluation criteria of national progress: mainly economic criteria, social, environmental, and economic criteria in equal parts, mainly social and environmental criteria; extent of the influence of the following factors on the personal quality of life: state of environment, economic factors, social factors; approval of the following statements: protection of the environment can boost economic growth in the EU, efficient use of natural resources can boost economic growth in the EU; willingness to pay more for environmentally friendly products; personal measures for protecting the environment; prioritized measures for people in the own country to protect the environment in daily life; approval of selected statements: individual plays a role in protecting the environment in the own country, big polluters should make good the damage they cause, environmental issues have a direct effect on daily life; preference for national public authorities to prioritize environmentally-friendly considerations over cost considerations or vice versa with regard to spending and investing; preference for decision making regarding the protection of the environment by the national government or jointly within the EU; sufficient action taken to protect the environment by: big companies and industry, citizens, own city, town, village, or region, national government, European Union; most effective ways to tackle environmental problems; attitude towards the following statements: European environmental legislation is necessary for protecting the environment in the own country, EU should be able to check the correct application of environmental laws in the own country, EU should assist non-EU countries to improve their environmental standards, more EU funding to support environmentally-friendly activities.
2. Skills and qualifications in the EU: highest completed level of education or training; most important skills education provides; designation of skills that can be obtained outside of formal education; ways to obtain skills outside of formal education; most important aspects of education; preference regarding the improvement of selected aspects in the own country: teacher’s expertise or subject knowledge, teacher’s ability to motivate students, modern and stimulating learning methods and learning environment, periods of study abroad or student exchanges, practical work experience; assessment of own education and training at school, in vocational education, in higher education, in courses for adults, through online education; own education or training provided necessary skills to find an appropriate job; recognition of own educational or training qualifications in other EU member states; own stay abroad for studying, trainee- or internship, or working in another EU member state or outside the EU; own work or studies with an institution or company in another EU member state or outside the EU while based in the own country; recognition of the following experiences within in the own country in terms of: studying, working, trainee- or internship in another EU member state, studying online with an institution located in another EU member state, or working remotely for a company located in another EU member state; attempt to work or study in another EU member state; difficulties experienced regarding own qualifications; knowledge of the level of the European Qualifications Framework the own qualifications correspond to; possibility to obtain a qualification in the own country by combining skills or competences acquired in different ways; knowledge of selected kinds of proof for documenting skills and qualifications for employment in the own country or in another EU member state; use of career guidance services; reason for and occasion when using career guidance service; attitude towards career guidance services regarding: usefulness for decisions for further studies, for finding a job, for finding opportunities to work or study in another EU member state, availability throughout education and after education; search for information on study or career guidance, on education or training courses, on internships, traineeships or apprenticeships, on the recognition of own skills in other EU member states; difficulties finding information; knowledge of selected European information points.
Demography: nationality; family situation; marital status; age at end of education; sex; age; occupation; professional position; type of community; household composition and household size; financial difficulties during the last year; self-rated social position (scale); internet use (at home, at work, at school); self-reported belonging to the working class, the middle class or the upper class of society; frequency of discussions about political matters on national, European and local level; own voice counts in the own country and in the EU (political influence); general direction things are going in the own country and in the EU.
Additionally coded was: respondent ID; country; date of interview; time of the beginning of the interview; duration of the interview; number of persons present during the interview; respondent cooperation; size of locality; region; language of the interview; nation group; weighting factor.
Topics: EDUCATION, Educational policy, Vocational education and training, Higher and further education, International politics and organisations, NATURAL ENVIRONMENT, Energy and natural resources, Plants and animals, Environment and conservation
Date(s) of Data Collection: 26.04.2014 - 11.05.2014
Date(s) of Data Collection: 26.04.2014 - 11.05.2014, total, 26.04.2014 - 06.05.2014, Belgium, 26.04.2014 - 05.05.2014, Bulgaria, 26.04.2014 - 05.05.2014, Czech Republic, 26.04.2014 - 09.05.2014, Denmark, 26.04.2014 - 06.05.2014, Germany, 26.04.2014 - 05.05.2014, Estonia, 26.04.2014 - 06.05.2014, Ireland, 26.04.2014 - 05.05.2014, Greece, 26.04.2014 - 06.05.2014, Spain, 26.04.2014 - 05.05.2014, France, 26.04.2014 - 05.05.2014, Croatia, 26.04.2014 - 06.05.2014, Italy, 26.04.2014 - 05.05.2014, Republic of Cyprus, 26.04.2014 - 06.05.2014, Latvia, 26.04.2014 - 05.05.2014, Lithuania, 26.04.2014 - 07.05.2014, Luxembourg, 26.04.2014 - 07.05.2014, Hungary, 26.04.2014 - 06.05.2014, Malta, 26.04.2014 - 06.05.2014, Netherlands, 26.04.2014 - 11.05.2014, Austria, 26.04.2014 - 06.05.2014, Poland, 26.04.2014 - 06.05.2014, Portugal, 26.04.2014 - 06.05.2014, Romania, 26.04.2014 - 07.05.2014, Slovenia, 26.04.2014 - 07.05.2014, Slovakia, 26.04.2014 - 06.05.2014, Finland, 26.04.2014 - 11.05.2014, Sweden, 26.04.2014 - 08.05.2014, United Kingdom
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), Great Britain (GB-GBN), Northern Ireland (GB-NIR), 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 28 Member States and aged 15 years and over.
Number of Units: 27998
Sampling Procedure: • Probability: Multistage;
Probability Sample: Multistage Stratified Random Sample
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview: Computer-assisted (CAPI/CAMI)
• Face-to-face interview;
Face-to-face interview
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Data Collector: TNS Dimarso, Brussels, Belgium;
TNS BBSS, Sofia, Bulgaria;
TNS Aisa, Prague, Czech Republic;
TNS GALLUP DK, Copenhagen, Denmark;
TNS Infratest, Munich, Germany;
TNS Emor, Tallinn, Estonia;
Behaviour & Attitudes, Dublin, Ireland;
TNS ICAP, Athens, Greece;
TNS Spain, Madrid, Spain;
TNS Sofres, Montrouge, France;
TNS Italia, Milan, Italy;
CYMAR Market Research , Nicosia, Cyprus;
TNS Latvia, Riga, Latvia;
TNS LT, Vilnius, Lithuania;
TNS ILReS, Luxembourg, Luxembourg;
TNS Hoffmann Kft, Budapest, Hungary;
MISCO, Valletta, Malta;
TNS NIPO, Amsterdam, Netherlands;
ipr Umfrageforschung, Vienna, Austria;
TNS Polska, Warsaw, Poland;
TNS Portugal, Lisbon, Portugal;
TNS CSOP, Bucharest, Romania;
RM PLUS, Maribor, Slovenia;
TNS Slovakia, Bratislava, Slovakia;
TNS GALLUP Oy, Espoo, Finland;
TNS Sifo, Stockholm and Gothenburg, Sweden;
TNS UK, London, United Kingdom;
HENDAL, Zagreb, Croatia;
TNS opinion, Brussels (international co-ordination)
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 488
Notes: Survey unit: adults; teenagers###
Module QA (Environment) mainly replicates questions asked in the context of Eurobarometer 75.2 [ZA5480].
Category scheme for country specific protocol variables P6 (SIZE OF COMMUNITY) has changed considerably, except for Germany. Categories for all other countries have been harmonized among each other to three values (Rural area - Towns and suburbs / small urban area - Cities / large urban areas).
Category scheme for country specific protocol variables P7 (REGION) have changed for some countries, in particular introducing NUTS categories for Ireland, Estonia and Croatia.
Data for protocol variables p8 (postal code), p9 (sample point number) and p10 (interviewer number) have not been made available.
Principal Investigator/ Authoring Entity, Institution: - European Commission, Brussels; Directorate General Communication COMM.A.1 ´Strategy, Corporate Communication Actions and Eurobarometer´
Publication year: 2017
DOI: 10.4232/1.12918, 10.4232/1.12874, 10.4232/1.12249, 10.4232/1.12177
Alternate IDs: doi:10.3886/ICPSR36242.v1
Study number: ZA5914
Contributor, Institution, Role: GESIS - Distributor, GESIS - HostingInstitution
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 3.0.0, 2017-11-24, https://doi.org/10.4232/1.12918
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 3.0.0 | 2017-11-24 Archive edition (current version) https://doi.org/10.4232/1.12918 |
| 2.1.0 | 2017-09-05 Archive pre-release (update) https://doi.org/10.4232/1.12874 |
| 2.0.0 | 2015-05-28 Archive pre-release (update) https://doi.org/10.4232/1.12249 |
| 1.0.0 | 2015-02-11 Archive pre-release https://doi.org/10.4232/1.12177 |
Version changes: Changes between version 3.0.0 and it's previous version
Changes between version 2.1.0 and it's previous version
Changes between version 2.0.0 and it's previous version
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2017-09-27 | p7be, p7be_r | Please note that region variables for Belgium are erroneous and should not be used without correction. The following correction should be applied to variable p7be: (1=9) (2=8) (3=10) (4=5) (5=4) (6=2) (7=11) (8=1) (9=3) (10=7) (11=6). After this, variable p7be_r must be reconstructed on the base of p7be using the following coding scheme: (1,3,6,7,11 = 1) (10 = 2) (2,4,5,8,9 = 3). The variables will be corrected with the next update. | 2017-11-24 variables corrected |
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2017-09-01 | d72_1, d72_2 | The variable labels have erroneously been switched: Variable label for d72_1 should read “MY VOICE COUNTS - IN THE EU” and variable label for d72_2 should read “MY VOICE COUNTS - IN (OUR COUNTRY)”. The variable labels will be corrected with the next update. | 2017-09-05 variable labels corrected |
| 2016-07-28 | p7at, p7at_r | Please notice that value label for code 6 in p7at should read "Kaernten (Carinthia)". As confirmed by TNS, the addition of Osttirol (Eastern Tyrol) as suggested by the original value label is not correct. Herewith variable p7at corresponds to the NUTS 2 classification for Austria. Variables labels should read: p7at “REGION - AUSTRIA NUTS 2” and p7at_r “REGION - AUSTRIA NUTS 1”. The value label and variable labels will be corrected with the next update. | 2017-09-05 value label and variable labels corrected |
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2015-05-27 | p1 to p5 | Data for p1 (date of interview), p2 (time of interview), p3 (duration of interview), p4 (n of persons present during interview), p5 (respondent cooperation) not made available. | 2015-05-28 Data subsequently delivered by TNS and integrated by the archive starting with dataset v2.0.0. |
| 2015-02-11 | p13lu | The coding for LANGUAGE OF QUESTIONNAIRE in LUXEMBOURG is highly questionable. If comparing frequencies for GERMAN and FRENCH with former waves, these two categories are supposed to be exchanged. | 2015-05-28 Labelling corrected after confirmation by TNS. |
Publications: European Commission:
Special Eurobarometer 416: Attitudes of European citizens towards the environment. Survey conducted by TNS opinion & social at the request of the Directorate-General for Environment and co-ordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, September 2014.
http://dx.doi.org/10.2779/25662, European Commission:
Special Eurobarometer 417: European area of skills and qualifications. Conducted by TNS opinion & social at the request of the European Commission, Directorate-General for Education and Culture Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, June 2014.
http://dx.doi.org/10.2766/75675
Study group: EB - Standard and Special Eurobarometer
Date(s) of Data Collection: 01.01.1950 - 31.12.2013
GESIS, Cologne. ZA8648 Data file Version 1.0.1, https://doi.org/10.4232/1.14268
GESIS, Cologne. ZA8648 Data file Version 1.0.1, https://doi.org/10.4232/1.14268
Abstract: The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - ... more
Abstract: The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - ... more
Content: Indicators for the area of life “education”
The data on the area of life “education” is made up as follows:
Participation in education and educational opportunities: Access to the elementary area [second level]; Children in kindergartens; Provision rate in child day care for children under three years old; Participation in education in lower secondary education [second level]; School attendance of 13-year-olds by school type; School success in lower secondary education [second level]; School leavers without a secondary school diploma; School success in upper secondary education [second level]: High school graduate rate; Participation in tertiary education [second level]: Student quota of 20 to 30 year olds; Equal opportunities in tertiary education [second level]: Student entry rate for university studies; Entry rate for university/technical college studies; Further training [second level]: VHS course occupancy per 100 inhabitants; Participation rate for the entire further training; Participation rate in general and political further training; Participation rate in continuing professional education; Participation rate of continuing vocational training among employed people; Qualification [first level]: Language competence [second level]: Proportion of population with foreign language skills; IT competence [second level]: Proportion of population with computer skills; Quality of school education [second level]: Proportion of students with a lack of mathematical competence; Proportion of students with poor reading skills; Proportion of students with a lack of scientific competence; Vocational training [second level]: Share of population with apprenticeship/skilled training; Proportion of the population with vocational training; Proportion of the population with a technical college education; Proportion of the population with a university degree; Effectiveness [first level]: Unemployment rate: people without training; Unemployment rate: university graduates; Organization and costs of the education system [first level]: Public/private sector ratio [second level]: Proportion of high school students in public schools to all high school students; Costs of the education system [second level]: Share of public budget expenditure on education; public/private financing of studies; Financing the studies; Subjective preservation and evaluation of education [first level]: Satisfaction with training.
Topics: Compulsory and pre-school education, Educational policy, Higher and further education, Life-long/continuing education, Vocational education and training, Unemployment
Date(s) of Data Collection: 01.01.1950 - 31.12.2013
Geographic coverage: Germany (DE)
Number of Units: 65 Zeitpunkte /Points in time
Sampling Procedure: Sources:
Official statistics, Large survey programs.
Temporal Research Design: Time series
Analysis Unit: Political-administrative area
Mode of Data Collection: • Aggregation;
Analysis System(s): Excel
Kind of Data: Numeric
Number of Variables: 322 Zeitpunkte / Time Series
Principal Investigator/ Authoring Entity, Institution: Noll, Heinz-Herbert - GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim, Weick, Stefan - GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim
Publication year: 2024
DOI: 10.4232/1.14268, 10.4232/1.12862
Study number: ZA8648
Publisher: GESIS
External links: Online-Database SAFE
Current Version: 1.0.1, 2024-02-07, https://doi.org/10.4232/1.14268
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.1 | 2024-02-07 (current version) https://doi.org/10.4232/1.14268 |
| 1.0.0 | 2017-08-22 https://doi.org/10.4232/1.12862 |
Publications: Noll, Heinz-Herbert; Weick, Stefan (2013), SIMon – Social Indicators Monitor. Deutsches Sozialindikatorensystem (DISI): Bildung 1950-2013, Noll, Heinz-Herbert (2014): German System of Social Indicators. In: Michalos, A. C. (ed.): Encyclopedia of Quality of Life and Well-Being Research, Heidelberg: Springer, S. 2541-2544. (Online Version zuletzt aktualisiert 2022), Noll, Heinz-Herbert (2016): Zur Geschichte der Sozialindikatorenforschung: Messung, Beobachtung und Analyse der Lebensqualität. In: Presse- und Informationsamt der Bundesregierung (Hg.): Regierungsstrategie zur Lebensqualität in Deutschland. Diskussionsbeiträge des wissenschaftlichen Beirats. Berlin., Noll, Heinz-Herbert (2018): Social Monitoring and Reporting: A Success Story in Applied Research on Social Indicators and Quality of Life. Social Indicators Research, 135(3): 951–964., Zapf, Wolfgang (Hg.) (1977): Lebensbedingungen in der Bundesrepublik: Sozialer Wandel und Wohlfahrtsentwicklung. Frankfurt am Main: Campus Verlag., Zapf, Wolfgang (1979): Applied social reporting: a social indicators system for West German society. Social Indicators Research, 6, 397-419., Ballerstedt, Eike, Glatzer, Wolfgang, Helberger, Christof, Mayer, Karl Ulrich, Noll, Heinz-Herbert, Ruge, Rainer, Sehringer, Roswitha, Steger, Almut, Wiegand, Erich, Zapf, Wolfgang (1977): SPES-Indikatorentableau. Soziale Welt, Jg. 28, Heft 4: 424-465., Zapf, Wolfgang (Hg.) (1977): Lebensbedingungen in der Bundesrepublik: Sozialer Wandel und Wohlfahrtsentwicklung. Frankfurt am Main: Campus Verlag.
, Zapf, Wolfgang (1979): Applied social reporting: a social indicators system for West German society. Social Indicators Research, 6, 397-419.
Study group: System of Social Indicators for the Federal Republic of Germany, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Date(s) of Data Collection: 29.04.2013 - 18.10.2013
GESIS Data Archive, Cologne. ZA6252 Data file Version 1.0.0, https://doi.org/10.4232/1.12290
GESIS Data Archive, Cologne. ZA6252 Data file Version 1.0.0, https://doi.org/10.4232/1.12290
Abstract: (Note: in addition to the here described quantitative cross-sectional study, within the study there has also been conducted a qualitative study using guided interviews. T ... more
Abstract: (Note: in addition to the here described quantitative cross-sectional study, within the study there has also been conducted a qualitative study using guided interviews. T ... more
Date(s) of Data Collection: 29.04.2013 - 18.10.2013
Geographic coverage: Berlin (DE-BE), Brandenburg (DE-BB), Rhineland-Palatinate (DE-RP), Thuringia (DE-TH)
Universe: Principals and teachers from different types of schools
Number of Units: 2526 Teachers
175 Principals
Sampling Procedure: • Probability: Cluster: Stratified random;
Probability Sample: Stratified Cluster Sample
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Paper;
Self-administered questionnaire: Paper
Data Collector: IEA Data Processing and Research Center, Hamburg
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 117 (Teachers)
174 (Principals)
Notes: Survey unit: students; teachers###
The transcripts of the qualitative study can be retrieved from the FDZ Bildung (DIPF) at https://doi.org/10.7477/59:2:1.
Principal Investigator/ Authoring Entity, Institution: Bellmann, Johannes - Institut für Erziehungswissenschaft, Westfälische Wilhelms-Universität Münster
Publication year: 2015
DOI: 10.4232/1.12290
Study number: ZA6252
Contributor, Institution, Role: GESIS - Distributor, GESIS - HostingInstitution
Publisher: GESIS Data Archive
External links: Project homepage, Qualitative cross-sectional study
Current Version: 1.0.0, 2015-07-16, https://doi.org/10.4232/1.12290
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2015-07-16 first archive edition (current version) https://doi.org/10.4232/1.12290 |
Publications: Bellmann, Johannes; Duževic, Doris; Kirchhoff, Corrie; Schweizer, Sebastian (2014):
Der Sinn von Reformen und der Eigensinn der Akteure. Zur Bedeutung von Reformrezeptionstypen für Erfolg und Misserfolg Neuer Steuerung. SchulVerwaltung (Hessen/Rheinland-Pfalz) 19, Nr. 2: 56-59., Bellmann, Johannes; Duževic, Doris; Kirchhoff, Corrie; Schweizer, Sebastian (2014):
Differenzorientierung als Nebenfolgenprophylaxe: Warum es wichtig ist, zwischen Anforderung von Bildungsreformen und Anforderungen der eigenen pädagogischen Praxis unterscheiden zu können.
Schul-Management 45, Nr. 4: 16-18., Bellmann, J., Thiel, C., Dužević, D., Schweizer, S. (2014): Nicht-intendierte Effekte neuer Steuerung im Schulsystem : theoretische Konzeptualisierung und Instrumententwicklung zur empirischen Erfassung : BMBF-Rahmenprogramm "Steuerung im Bildungssystem": Abschlussbericht: Förderzeitraum: 01.03.2011 bis 28.02.2014, mittelneutral verlängert bis 31.08.2014. [Westfälische Wilhelms-Universität Münster, Institut für Erziehungswissenschaft]. doi: 10.2314/GBV:847260879.
Study group: Studies of "Verbund Forschungsdaten Bildung", GESIS Community Data
Linked
information:Publications (4)
information:Publications (4)
