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Date(s) of Data Collection: 11.09.2023 - 13.10.2023
GESIS, Cologne. ZA8781 Data file Version 1.0.0, https://doi.org/10.4232/1.14313
GESIS, Cologne. ZA8781 Data file Version 1.0.0, https://doi.org/10.4232/1.14313
Abstract: SMEs and skills shortages.
Abstract: SMEs and skills shortages.
Content: Topics: most important problems for the own company at the moment; difficulty for the own company to find staff with the right skills in the last two years; average time needed to hire person with the right skills; number of positions (full-time equivalents) currently needed to be filled; most difficult qualification / educational level to recruit; existing job roles in the company; difficulties recruiting staff for selected roles; main reasons for the company´s skill shortages; impact of the skill shortage on own company; impact of the skill shortage on the company´s ability to: reduce environmental impact and help reducing climate change, deploy more IT technologies in the company‘s operations; preferred statement with regard to the deployment of Artificial Intelligence Technologies (AI) in the company over the next five years: (planned) use of AI with an expected significant impact on the company’s skill needs, (planned) use of AI with no expected significant impact on the company’s skill needs, no plans to use AI but expected significant impact on the company’s skill needs in case of use, no plans to use AI and no expected significant impact on the company’s skill needs in case of use; measures taken in order to tackle skill shortages: abandon business or contracts, training and reskilling of the current staff, broaden the candidate pool, more retention efforts for current employees, employer branding and personal marketing, new recruitment channels and more advertising, improve working conditions, increased use of temporary and self-employed workers, use of headhunters or recruitment agencies, more intense use of digital technologies to replace human resources; received type of external support to find skilled staff in the last two years: support in providing staff training, direct subsidies, indirect subsidies, consulting and guidance, fiscal incentives, other external support, no need for external support, company´s applications for external support were turned down, company could not find suitable external support; effectiveness of the external support received to tackle skills shortage in the company; experienced problems with the external support received to tackle the skills shortage in the company: too bureaucratic, too expensive, not adjusted to the needs and circumstances of the company, too lengthy application process, insufficient in size; most useful type of support for the company to tackle skill shortages; attempts to hire foreign talent to solve the company´s skill shortage: from other EU countries, from countries outside the EU, no attempts made; experienced problems trying to hire candidates from other countries: no difficulties, bureaucratic difficulties in the own country, bureaucratic difficulties in the applicant’s country of origin, difficulties understanding the skills of the applicant, difficulties getting the professional qualification recognised, language problems, difficulties advertising the vacancy abroad, no suitable candidates, candidates withdrew during the recruitment process, HR department finds it difficult to fully understand the requirements, other; reasons for not trying to hire people from other countries; awareness of the ‘Enterprise Europe Network‘.
Demography: information about the company: number of employees, average age of employees, year of company establishment, beginning of business activity; intention to hire additional people in the next twelve months; development of turnover in the last two years; total turnover in 2022; type of community; member of industry cluster or another SME business support organisation.
Additionally coded was: respondent ID; country; NACE-Code; region; nation group; weighting factor.
Topics: International politics and organisations, Business/industrial management and organisation, Labour and employment policy
Date(s) of Data Collection: 11.09.2023 - 13.10.2023
Date(s) of Data Collection: 11.09.2023 - 13.10.2023, total, 11.09.2023 - 29.09.2023, Belgium, 14.09.2023 - 29.09.2023, Bulgaria, 11.09.2023 - 03.10.2023, Czechia, 12.09.2023 - 02.10.2023, Denmark, 11.09.2023 - 29.09.2023, Germany, 11.09.2023 - 29.09.2023, Estonia, 11.09.2023 - 02.10.2023, Ireland, 11.09.2023 - 28.09.2023, Greece, 11.09.2023 - 29.09.2023, Spain, 11.09.2023 - 28.09.2023, France, 11.09.2023 - 02.10.2023, Croatia, 11.09.2023 - 29.09.2023, Italy, 11.09.2023 - 26.09.2023, Cyprus, 11.09.2023 - 29.09.2023, Latvia, 12.09.2023 - 28.09.2023, Lithuania, 11.09.2023 - 02.10.2023, Luxembourg, 11.09.2023 - 28.09.2023, Hungary, 11.09.2023 - 02.10.2023, Malta, 11.09.2023 - 02.10.2023, Netherlands, 11.09.2023 - 02.10.2023, Austria, 11.09.2023 - 05.10.2023, Poland, 11.09.2023 - 29.09.2023, Portugal, 11.09.2023 - 29.09.2023, Romania, 11.09.2023 - 27.09.2023, Slovenia, 11.09.2023 - 29.09.2023, Slovakia, 11.09.2023 - 30.09.2023, Finland, 11.09.2023 - 29.09.2023, Sweden, 11.09.2023 - 04.10.2023, Iceland, 11.09.2023 - 29.09.2023, Norway, 11.09.2023 - 06.10.2023, Switzerland, 11.09.2023 - 12.10.2023, United Kingdom, 11.09.2023 - 04.10.2023, North Macedonia, 11.09.2023 - 28.09.2023, Turkey, 11.09.2023 - 13.10.2023, United States, 12.09.2023 - 13.10.2023, Canada, 11.09.2023 - 12.10.2023, Japan
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR), United Kingdom (GB), Iceland (IS), Norway (NO), Switzerland (CH), North Macedonia (MK), Turkey (TR), Canada (CA), Japan (JP), United States of America (US)
Universe: The FLASH EUROBAROMETER 537 survey has been held in the 27 Member states of the European Union and in the United Kingdom, Iceland, Norway, Switzerland, North Macedonia, Türkiye, Canada, Japan and the USA. It covers businesses active in one of the following sectors (NACE codes):
B Mining and quarrying
C Manufacturing
D Electricity, gas, steam and air conditioning supply
E Water supply; sewerage, waste management and remediation activities
F Construction
G Wholesale and retail trade, repair of motor vehicles and motorcycles
H Transportation and storage
I Accommodation and food service activities
J Information and communication
K Financial and insurance activities
L Real estate activities
M Professional, scientific and technical activities
Number of Units: 18388
Sampling Procedure: • Probability;
Temporal Research Design: Cross-section
Analysis Unit: Organization/Institution
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Ipsos European Public affairs, Brussels
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 302
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels; Directorate General Communication, COMM.A.3 ´Media monitoring and Eurobarometer´ -
Publication year: 2024
DOI: 10.4232/1.14313
Study number: ZA8781
Publisher: GESIS
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2024-04-23, https://doi.org/10.4232/1.14313
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-04-23 Archive release (current version) https://doi.org/10.4232/1.14313 |
Publications: European Commission: Flash Eurobarometer 537. SMEs and skills shortages. Conducted by Ipsos European Public affairs at the request of the Directorate-General Internal Market, Industry, Entrepreneurship and SMEs. Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Media monitoring and Eurobarometer” Unit)). Brussels, November 2023. doi:10.2775/171714
Study group: EB - Flash Eurobarometer
Linked
information:Variables (302)
information:Variables (302)
German Institute for Economic Research (DIW Berlin). Data File Version 1.0.0, https://doi.org/10.25652/diw_data_S0024.1
Other Title (type): SFB882 B4 qualitative Beschäftigtenbefragung (Alternative title)
Abstract: Die qualitative Befragung entlassener und wieder eingestellter Beschäftigter wurde im Rahmen des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Sonderforschun ... more
Abstract: Die qualitative Befragung entlassener und wieder eingestellter Beschäftigter wurde im Rahmen des von der Deutschen Forschungsgemeinschaft (DFG) geförderten Sonderforschun ... more
Availability: Restricted Access
Subject area: [Sociology [=] Employment Research]
Topics: Non-standard employment, Employment system, employment policy, employment situation, labor market, job change, qualitative interview, labor relations
Date(s) of Data Collection: 2013-07; 2014-06
Geographic coverage: Germany / DE
Sampling Procedure: bewusste Fallauswahl kombiniert mit einem theoretischem Sampling
Temporal Research Design: cross-section
Notes: Zugang:
Die Daten sind auf Antrag am Gastwissenschaftsarbeitsplatz im FDZ-BO am DIW Berlin nutzbar. Die Grundlage für den Datenzugang bildet ein Datennutzungsvertrag. // The data can be used on request at the guest researcher workstation at the FDZ-BO at DIW Berlin. The basis for data access is a data usage contract.
Kooperation: Sozio-oekonomisches Panel (SOEP), Deutsches Institut für Wirtschaftsforschung (DIW), https://www.diw.de/de/diw_01.c.615551.de/forschungsbasierte_infrastruktureinrichtung__sozio-oekonomisches_panel__soep.html
Sampling: Das Auswahlverfahren kombiniert die bewusste Auswahl mit Hilfe eines vorab definierten Sampling-Schemas mit dem theoretischen Sampling, bei dem die endgültigen Sampling-Entscheidungen während der Datenerhebung getroffen wurden. So wurden zunächst Kriterien zum Sampling festgelegt, denn durch die Kooperation mit dem Sozio-ökonomischen Panel (SOEP) lagen vor dem ersten Feldkontakt Informationen über Recall-Beschäftigte und ihre Haushalts-/familiäre Situation vor. Diese wurden zur Konstruktion eines Sampling-Schemas genutzt. Vorherige statistische Analysen haben gezeigt, dass folgende Merkmale relevant sind: Berufsbildung, Anteil des eigenen Einkommens am Haushaltseinkommen, Geschlecht, Verpflichtung für Kinder und Wohneigentum.
Nach einer ersten Phase der Datenerhebung wurden die ersten Interviews ausgewertet und die Kontrastgruppenbildung anhand des vorab definierten Sampling-Schemas überprüft. Weil die ersten Analysen die zuvor als relevant festgelegten Kriterien weitgehend bestätigt haben, wurden die Kontrastgruppen beibehalten und erst zum Ende der Erhebungsphase um eine gezielte Suche nach unterschiedlichen Branchen (5. Ziehung) und eine gezielte Suche nach saisonal Beschäftigten (letzte Fallrekrutierung) ergänzt, da die Auswertungsergebnisse diesen Kontrast nahelegten.
Untersuchungsgegenstand: Beschäftigte
Anzahl der Erhebungseinheiten: 16 Beschäftigte
Erhebung: Eigenerhebung
Teilnahmequote: 11,6%
Maßnahmen zur Datenaufbereitung: Die Interviews wurden digital als Audiodateien aufgezeichnet. Die Transkriptionen wurden zum einen von projektinternen Personen und zum anderen extern von „textbändiger“ vorgenommen. Leider ist es hierbei zu zwei unterschiedlichen Transkriptionssystemen gekommen. Die An gaben aus den Kurzfragebögen wurden in das Transkript übertragen, ebenso Interview-Notizen bei besonderen Vorkommnissen oder anderen Auffälligkeiten.
Maßnahmen der Anonymisierung: Die Transkripte wurden faktisch anonymisiert. Auch die Interviewprotokolle wurden faktisch anonymisiert.
Zitation der Daten: Hense, Andrea; Schiek, Daniela. 2023. Arbeitsmarkt in Bewegung: Rückkehr zum alten Arbeitgeber. Version 1. FDZ-BO am DIW Berlin. DOI: 10.25652/diw_data_S0024.1
Kooperation: Sozio-oekonomisches Panel (SOEP), Deutsches Institut für Wirtschaftsforschung (DIW), https://www.diw.de/de/diw_01.c.615551.de/forschungsbasierte_infrastruktureinrichtung__sozio-oekonomisches_panel__soep.html
Sampling: Das Auswahlverfahren kombiniert die bewusste Auswahl mit Hilfe eines vorab definierten Sampling-Schemas mit dem theoretischen Sampling, bei dem die endgültigen Sampling-Entscheidungen während der Datenerhebung getroffen wurden. So wurden zunächst Kriterien zum Sampling festgelegt, denn durch die Kooperation mit dem Sozio-ökonomischen Panel (SOEP) lagen vor dem ersten Feldkontakt Informationen über Recall-Beschäftigte und ihre Haushalts-/familiäre Situation vor. Diese wurden zur Konstruktion eines Sampling-Schemas genutzt. Vorherige statistische Analysen haben gezeigt, dass folgende Merkmale relevant sind: Berufsbildung, Anteil des eigenen Einkommens am Haushaltseinkommen, Geschlecht, Verpflichtung für Kinder und Wohneigentum.
Nach einer ersten Phase der Datenerhebung wurden die ersten Interviews ausgewertet und die Kontrastgruppenbildung anhand des vorab definierten Sampling-Schemas überprüft. Weil die ersten Analysen die zuvor als relevant festgelegten Kriterien weitgehend bestätigt haben, wurden die Kontrastgruppen beibehalten und erst zum Ende der Erhebungsphase um eine gezielte Suche nach unterschiedlichen Branchen (5. Ziehung) und eine gezielte Suche nach saisonal Beschäftigten (letzte Fallrekrutierung) ergänzt, da die Auswertungsergebnisse diesen Kontrast nahelegten.
Untersuchungsgegenstand: Beschäftigte
Anzahl der Erhebungseinheiten: 16 Beschäftigte
Erhebung: Eigenerhebung
Teilnahmequote: 11,6%
Maßnahmen zur Datenaufbereitung: Die Interviews wurden digital als Audiodateien aufgezeichnet. Die Transkriptionen wurden zum einen von projektinternen Personen und zum anderen extern von „textbändiger“ vorgenommen. Leider ist es hierbei zu zwei unterschiedlichen Transkriptionssystemen gekommen. Die An gaben aus den Kurzfragebögen wurden in das Transkript übertragen, ebenso Interview-Notizen bei besonderen Vorkommnissen oder anderen Auffälligkeiten.
Maßnahmen der Anonymisierung: Die Transkripte wurden faktisch anonymisiert. Auch die Interviewprotokolle wurden faktisch anonymisiert.
Zitation der Daten: Hense, Andrea; Schiek, Daniela. 2023. Arbeitsmarkt in Bewegung: Rückkehr zum alten Arbeitgeber. Version 1. FDZ-BO am DIW Berlin. DOI: 10.25652/diw_data_S0024.1
Primärforschende, Institution: Hense, Andrea; Universität Bielefeld, Fakultät für Soziologie, Schiek, Daniela; Universität Bielefeld, Fakultät für Soziologie
Publication year: 2023
DOI: 10.25652/diw_data_S0024.1
Study number: SDN-10.25652-diw_data_S0024.1
Contributor, Institution, Role: Liebig, Stefan; Universität Bielefeld, Fakultät für Soziologie (Project Leader)
Project funder: Deutsche Forschungsgemeinschaft (DFG)
Publisher: German Institute for Economic Research (DIW Berlin)
Current Version: 1.0.0, https://doi.org/10.25652/diw_data_S0024.1
Date(s) of Data Collection: 09.11.2022 - 23.11.2022
GESIS, Cologne. ZA7926 Data file Version 1.0.0, https://doi.org/10.4232/1.14121
GESIS, Cologne. ZA7926 Data file Version 1.0.0, https://doi.org/10.4232/1.14121
Abstract: The study on migration, integration and the shortage of skilled workers was conducted by the Forschungsgruppe Wahlen Telefonfeld on behalf of the Press and Information Of ... more
Abstract: The study on migration, integration and the shortage of skilled workers was conducted by the Forschungsgruppe Wahlen Telefonfeld on behalf of the Press and Information Of ... more
Content: 1. Immigrants/ foreigners in Germany: assessment of coexistence between Germans and immigrants (split: foreigners) living here; agreement with statements on the subject of immigration to Germany (integration of immigrants (split: of foreigners) into German society has so far been successful all in all, there are already so many immigrants (split: foreigners) living in Germany that no further immigrants (split: foreigners) can be accepted, without immigration the population in Germany would age too much, politics has recently been too concerned about immigrants (split: foreigners) and not enough about the German population, immigration has more advantages than disadvantages for the development of the economy in Germany, due to immigration (split: foreigners) the crime rate in Germany increases very much, I think it is good that Germany becomes more culturally diverse due to immigration (split: foreigners)); reasons for immigration to Germany (e.g. war in home country, no perspective in home country; etc.); assessment of integration of foreigners living in Germany. ); assessment of integration of foreigners living in Germany; sufficient commitment of various actors (foreigners, German population, federal government) to integration of foreigners; perception of equal opportunities for foreigners in various areas (school and educational attainment, search for a job and training position, search for housing); immigration of foreign workers only if they have sufficient knowledge of German; satisfaction with the federal government´s immigration policy in various areas (dealing with the population´s concerns about immigration, how the goals and measures of immigration policy are explained to the population, efforts to date to integrate immigrants into the German labor market, efforts to date to find a European solution for immigration to Europe); evaluation of various political projects of the federal government on the topic of immigration (accelerated asylum procedures, easier family reunification, easier access to German citizenship).
2. Shortage of skilled workers in Germany: perception of the shortage of skilled workers in Germany as a problem; combating the shortage of skilled workers primarily a task for companies or for politicians; is the German government doing too much or too little to combat the shortage of skilled workers; importance of various measures to combat the shortage of skilled workers (qualifying people living in Germany, recruiting skilled workers from other European countries, recruiting skilled workers from non-European countries); contribution of refugees to addressing the shortage of skilled workers.
3. Refugees in Germany: Germany´s ability to take in even more refugees; expectation of further larger waves of refugees coming to Germany; accommodation of refugees in one´s own neighborhood; personal experience with refugees in one´s own neighborhood; is too much or too little being done for refugees in Germany; opinion on preferential treatment of refugees from Ukraine compared to other refugees; assessment of the will to integrate or the desire of refugees from Ukraine and Syria to stay.
4. Party preference; subjective personal preference or disadvantage in society.
Demography: sex; age; highest school-leaving qualification; intended school-leaving qualification; completed studies; occupation; occupational status; employee/civil servant grouping; household size; number of persons in household aged 18 and over; migration background: German citizenship; German citizenship by birth; born in Germany; previous citizenship; at least one parent born as a foreigner or immigrated.
Additionally coded were: respondent ID; city size; federal state; district of Berlin West/East; survey by mobile phone or landline; weighting factor.
Topics: Migration, Labour and employment policy, Government, political systems and organisations, Political behaviour and attitudes
Date(s) of Data Collection: 09.11.2022 - 23.11.2022
Geographic coverage: Germany (DE)
Universe: German-speaking population aged 18 and over
Number of Units: 1504
Sampling Procedure: • Probability: Multistage;
Probability sample: Multi-stage random sample using the RDD method;
Combined fixed-network and mobile sample (dual-frame approach (68.4 % fixed network, 31.6 % mobile).
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Forschungsgruppe Wahlen Telefonfeld, Mannheim
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 83
Notes: The survey was commissioned by the Federal Press Office.
Principal Investigator/ Authoring Entity, Institution: - Presse- und Informationsamt der Bundesregierung, Berlin
Publication year: 2023
DOI: 10.4232/1.14121
Study number: ZA7926
Publisher: GESIS
Research data center: FDZ Wahlen bei GESIS
External links: Federal Press Office
Current Version: 1.0.0, 2023-06-12, https://doi.org/10.4232/1.14121
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-06-12 first archive edition (current version) https://doi.org/10.4232/1.14121 |
Publications: Forschungsgruppe Wahlen Telefonfeld: Integration : Ergebnisse einer repräsentativen Umfrage im Auftrag des Bundespresseamts. Ergebnisbericht.
Mannheim: Forschungsgruppe Wahlen Telefonfeld 2022
, Forschungsgruppe Wahlen Telefonfeld: Integration : Ergebnisse einer repräsentativen Umfrage im Auftrag des Bundespresseamts.. Tabellenband.
Mannheim: Forschungsgruppe Wahlen Telefonfeld 2022
Study group: Surveys commissioned by the Press and Information Office of the Federal Government, GESIS Community Data
Linked
information:Variables (83)
information:Variables (83)
Date(s) of Data Collection: 28.05.2019 - 06.08.2019
GESIS, Cologne. ZA7584 Data file Version 1.0.1, https://doi.org/10.4232/1.13943
GESIS, Cologne. ZA7584 Data file Version 1.0.1, https://doi.org/10.4232/1.13943
Abstract: Objective:
The German Emigration and Remigration Panel Study (GERPS) is the data base developed within the project “Individuelle Konsequenzen internationaler Migration im ... more
Abstract: Objective:
The German Emigration and Remigration Panel Study (GERPS) is the data base developed within the project “Individuelle Konsequenzen internationaler Migration im ... more
Content: 1. Screening module for recording moves since wave 1: move since the last survey; move within the city/municipality, to another city/municipality, (back) to Germany, (back) to the previous country or to another country; time of move; distance of the new dwelling from the old place of residence (open, distance category); reasons for move (e.g., own occupational reasons or occupational reasons of partner, family reasons, financial reasons, etc.); ease of getting along after move; experiences of disadvantage and preference in the country of residence. e.g., own professional reasons or partner´s professional reasons, family reasons, financial reasons, etc.); ease of getting along after the move; experiences of disadvantage and preference in the country of residence on the basis of origin.
2. Current living and housing situation: marital status, partnership and type of household: Household size; household composition remained the same, changed, or. Respondent has left previous household; household size at time of last interview; update of household composition information; change in household composition (person added, person left household); total number of persons in new household (household size) if respondent left previous household; stable partnership; move to Germany and new living environment; time of move to Germany; reasons and motives for move (back) to Germany; stay abroad planned only for a limited time; ease of getting along after move; driving force for move decision within partnership; partner´s move to Germany before/after respondent or at the same time already lived in Germany; time of move to current country of residence (country W2); contact with people in country before move abroad (close relatives, other relatives, work colleagues or other friends and acquaintances); reasons and motives for move abroad; ease of getting along after move; same partner at time of move abroad (country W2); driving force for move decision within partnership; partner´s move to country of residence before/after interviewee or at same time or already lived there; living situation three months before last emigration: time of move abroad (month and year); lived in Germany before move abroad; main job before move away from Germany.
3. Contacts with friends and relatives: Connection to Germany and planned moves: not in Germany since leaving; number of days in Germany; serious thoughts of moving to another country; reasons for intention to move; planned duration of stay abroad (country W2/ Germany) (one more year at most, a few more years, forever); planned duration of stay abroad in years; contacts with friends and relatives: Number of close friends/girlfriends; number of close friends in Germany, in current/previous country of residence, or in another country; intensity of contact with different groups in Germany (spouse/partner, parents, parents-in-law, siblings, grandchildren, grandparents, other relatives, close friends).
4. Employment biography (focus module wave 2):
Change in employment status since arrival: reasons for leaving self-employment; number of previous employers; start of employment for current employer (month and year); start and end of employment with first employer (month and year);; start of employment with current employer (month and year); currently not employed: previous employment; number of previous employers or previous self-employment; start and end of employment for first/last employer (month and year); previous job commitment prior to moving; source of information for this job; manner of termination of previous job; new job already in prospect at time of leaving; source of information for this new job; manner of termination of this previous job.
Current employment situation: industry affiliation of the current company resp. at the time of the last interview; change in employer due to move to the country of residence; secondment by the employer; current job corresponds to the profession learned; training required for the job; official authorization or permit to perform the job in the current country of residence (country W2); job can also be performed without official authorization or permit; fixed-term employment relationship; supervisor function; Number of persons for whom authority to issue directives exists; number of employees in the company as a whole; place of work in the country of residence/Germany; place of work in another country; company ties (personal significance, sense of belonging, part of the family in the company); frequency of help received from colleagues; frequency of offers of help to colleagues; frequency of unfair criticism, harassment or exposure by colleagues and superiors; assessment of opportunities on the labor market.
Self-employed and freelancers: sector of the current enterprise or at the time of the last interview; number of employees; place of work in the country of residence/Germany; place of work in another country; weekly working hours; average monthly net income (categorized); current activity corresponds to the learned profession; training required for the activity; official license or permit to pursue the professional activity in the current country of residence (country W2); pursuit of the activity also possible without official license or permit; assessment of opportunities on the labor market.
Non-employed persons: professional position after the last move; industry affiliation of the enterprise of the first paid job after the move; temporary employment relationship; supervisor function; number of persons for whom authority to issue directives existed; number of employees of the total enterprise.
Former self-employed and freelancers: industry; number of employees.
Non-employed persons: intention to (re)take up gainful employment; time of planned (re)taking up gainful employment; desire to pursue a specific occupational activity; training required for the activity; official license or permit to pursue this occupational activity available; pursuit of the activity also possible without official license or permit; assessment of chances on the labor market.
Retirees: receiving pension payments; reasons for receiving pension; current gainful employment as part of a second job; intended gainful employment or no interest in gainful employment; reasons for (intended) gainful employment or reasons against gainful employment during retirement.
Students: same studies as at the time of the last interview; type of student financing.
Change due to moving to country of residence (same employer as before, subsidiary of last employer, or a completely different employer); current stay abroad / stay in Germany is part of an organized mobility program (TEMPUS, ERASMUS (MUNDUS), LINGUA, other mobility program).
Start of first professional activity (month, year); current activity still in the same job and with the same employer; place of work of the first professional activity in Germany; professional position of the first professional activity; activity and industry affiliation of the company at that time; supervisor function; number of persons for whom authority to issue directives existed; change of profession; year of change of profession to the profession currently practiced; in the first job self-employed or freelancer: Occupation held at the time; industry affiliation of the establishment at the time; number of employees; change of occupation; year of change of occupation to the occupation currently held.
5. Attitudes, personality and well-being: Satisfaction with different areas of life; social isolation (lacking company of others, being left out, being socially isolated); self-assessment of health status; limitations due to health problems in everyday life; limitations in climbing stairs; emotional state in the last four weeks (depressed or gloomy, calm and balanced, lots of energy, less work done/work less carefully because of mental or emotional problems, limited social contacts because of mental or emotional problems); Institutional trust (German Bundestag, judicial system in Germany, police in Germany); institutional trust in country of migration (parliament, judiciary and police); concerns regarding various areas (economic development, own economic situation, own old age provision, health, climate change, crime in Germany, future of EU, immigration to Germany, xenophobia in Germany, job security); general life satisfaction.
Demography: sex; migration background; German citizenship; language skills: Mother tongue; language other than German in country of residence; self-assessed knowledge of language of country of residence; knowledge of national language acquired at school; efforts to improve language skills; language spoken predominantly with family members, friends, and at work; financial situation of household.
Sociodemographic and socioeconomic status of respondent´s partner: age (year of birth); born in Germany; German citizenship; high school diploma; completed vocational training; type of training or degree; employment status.
Parental/social background: German citizenship; highest general education degree; vocational training or higher education; occupational status; characteristics of occupation during respondent´s youth; grew up with both parents or situation during first 15 years of respondent´s life.
Additionally coded: Panel ID; respondent is same as person from wave 1; GERPS group wave 2; year and month of interview; lead probability (wave 1 to wave 2); original sample; weighting factor.
Derived variables: Region (current country of residence); partner status W 2; separation from partner between wave 1 and wave 2; new steady partnership between wave 1 and wave 2; change in household composition; household size wave 2; current marital status; current partner in household; current household status (1-job and 2-job); household status W 2; number of children under 17 in household W 2; age of youngest child in household; children in household under 6, from 6 to under 12, and from 12 to under 17; education: ISCED 11 and Casmin classification; highest level of schooling; highest level of vocational education and tertiary education of respondent and partner W 2; current employment status of respondent and partner W 2; current contracted hours of work per week and actual hours of work per week W 2; current contracted hours of work and actual hours of work arrangement W 2; ISEI 08 and Standard International Occupational Prestige Scale (SIOPS88); resident status W 2, born in Germany; International Standard Classification of Occupations (ISCO08) (one digit); German Classification of Occupations 2010 (KLDB2010 one digit); year of birth (classified); age of partner (classified); household income; monthly net salary and gross salary; flag variables.
Topics: Migration, Employment, Labour and employment policy, Retirement, Unemployment, Working conditions, Social and occupational mobility, Social conditions and indicators, PSYCHOLOGY
Date(s) of Data Collection: 28.05.2019 - 06.08.2019
Geographic coverage: Germany (DE)
Universe: Emigrants and remigrants with German citizenship aged between 20 and 70 with a documented international migration between July 2017 and June 2018.
Number of Units: 6989
Sampling Procedure: • Probability: Multistage;
Sampling frame/ design (Wave 2)
Participants who (1) were interviewed in wave 1 and (2) consented to future survey invitations in wave 1, net of refusals.
Temporal Research Design: Longitudinal: Panel
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI);
Starting with the second wave, GERPS was organised as a ‘web-only’ survey relying on email invitations and reminders and an online survey interface. Only a small subsample without up-to-date and valid email addresses was contacted exclusively by postal mailing.
Data Collector: SOKO Institut, Bielefeld
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 393
Principal Investigator/ Authoring Entity, Institution: Erlinghagen, Marcel - University of Duisburg-Essen, Schneider, Norbert - Federal Institute of Population Research (BiB), Wiesbaden
Publication year: 2022
DOI: 10.4232/1.13943, 10.4232/1.13751
Study number: ZA7584
Contributor, Institution, Role: Décieux, Jean Philippe - University of Duisburg-Essen - DataCurator, Erlinghagen, Marcel - University of Duisburg-Essen - ProjectLeader, Ette, Andreas - Federal Institute of Population Research - ProjectMember, Genoni, Andreas - Federal Institute of Population Research - ProjectMember, Guedes Auditor, Jean - Federal Institute of Population Research - ProjectMember, Mansfeld, Lisa - University of Duisburg-Essen - ProjectMember, Schneider, Norbert - Federal Institute of Population Research - ProjectLeader, Witte, Nils - Federal Institute of Population Research - ProjectMember
Publisher: GESIS
External links: GERPS project
Current Version: 1.0.1, 2022-06-30, https://doi.org/10.4232/1.13943
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.1 | 2022-06-30 minor corrections with labels (current version) https://doi.org/10.4232/1.13943 |
| 1.0.0 | 2021-06-11 first archive edition https://doi.org/10.4232/1.13751 |
Publications: Décieux, Jean Philippe; Witte, Nils; Erlinghagen, Marcel; Ette, Andreas; Genoni, Andreas; Guedes Auditor, Jean; Knirsch, Frederik; Kühne, Simon; Mansfeld, Lisa; Schneider, Norbert F. (2021): German Emigration and Remigration Panel Study (GERPS): Documentation of the Second Wave. BiB Daten- und Methodenberichte 2/2021.
Wiesbaden: Bundesinstitut für Bevölkerungsforschung. , Ette, Andreas; Décieux, Jean P.; Erlinghagen, Marcel; Guedes Auditor, Jean; Mansfeld, Lisa; Sander, Nikola; Schneider, Norbert F.; Witte, Nils 2019a: German Emigration and Remigration Panel Study (GERPS): Neue GERPS-Daten über deutsche Aus- und Rückwandernde. In: Bevölkerungsforschung Aktuell 6-2019: 3–7.
Study group: German Emigration and Remigration (GERPS), GESIS Community Data
Linked
information:Variables (393)
information:Variables (393)
Date(s) of Data Collection: 09.05.2018 - 28.06.2018
GESIS Data Archive, Cologne. ZA7491 Data file Version 1.0.0, https://doi.org/10.4232/1.13264
GESIS Data Archive, Cologne. ZA7491 Data file Version 1.0.0, https://doi.org/10.4232/1.13264
Abstract: The survey provides comparable data on the perceived extent and nature of antisemitism across a number of selected EU Member States, whether it is manifested as hate crim ... more
Abstract: The survey provides comparable data on the perceived extent and nature of antisemitism across a number of selected EU Member States, whether it is manifested as hate crim ... more
Topics: Social behaviour and attitudes, Crime and law enforcement, Equality, inequality and social exclusion, Labour and employment policy
Date(s) of Data Collection: 09.05.2018 - 28.06.2018
Geographic coverage: Austria (AT), Belgium (BE), Germany (DE), Denmark (DK), Spain (ES), France (FR), United Kingdom (GB), Hungary (HU), Italy (IT), Netherlands (NL), Poland (PL), Sweden (SE)
Universe: Self-identified Jewish population aged 16 or over living in Austria, Belgium, Denmark, France, Germany, Hungary, Italy, the Netherlands, Poland, Spain, Sweden and the United Kingdom
Number of Units: 16395
Sampling Procedure: • Non-probability: Availability;
opt-in sample (voluntary participation)
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI);
an open online survey
Data Collector: Ipsos MORI, London
Institute for Jewish Policy Research (JPR), London
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 396
Principal Investigator/ Authoring Entity, Institution: - European Union Agency for Fundamental Rights (FRA), Vienna, Austria
Publication year: 2019
DOI: 10.4232/1.13264
Study number: ZA7491
Contributor, Institution, Role: Goodey, Joanna - European Union Agency for Fundamental Rights - ProjectLeader, Beresneviciute, Vida - European Union Agency for Fundamental Rights - ProjectManager
Publisher: GESIS Data Archive
Current Version: 1.0.0, 2019-04-08, https://doi.org/10.4232/1.13264
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2019-04-08 first archive edition (current version) https://doi.org/10.4232/1.13264 |
Publications: FRA (European Union Agency for Fundamental Rights) (2018), Discrimination and hate crime against Jews in EU Member States: experiences and perceptions of antisemitism, Luxembourg, Publications Office of the European Union (Publications Office). Available at: https://fra.europa.eu/en/publication/2018/2nd-survey-discrimination-hate-crime-against-jews, FRA (European Union Agency for Fundamental Rights) (2018), Experiences and perceptions of antisemitism: Second survey on discrimination and hate crime against Jews in the EU – Questionnaire, Luxembourg, Publications Office of the European Union (Publications Office). Available at: https://fra.europa.eu/en/publication/2018/2nd-survey-discrimination-hate-crime-against-jews, FRA (European Union Agency for Fundamental Rights) (2019), Experiences and perceptions of antisemitism - Second survey on discrimination and hate crime against Jews in the EU – Summary, Luxembourg, Publications Office of the European Union (Publications Office). Available at: https://fra.europa.eu/en/publication/2019/experiences-and-perceptions-antisemitism-second-survey-discrimination-and-hate, FRA (European Union Agency for Fundamental Rights): Second Survey on discrimination and hate crime against Jews in EU Member States: Technical report
Vienna: 2019
Study group: Surveys from European Union Agency for Fundamental Rights (FRA), GESIS Community Data
Blom, Annelies G.; Bruch, Christian; Felderer, BarbaraGebhard, Franziska; Herzing, Jessica; Krieger, Ulrich; SFB 884 ´Political Economy of Reforms´, Universität Mannheim
Date(s) of Data Collection: 01.03.2017 - 02.04.2017
GESIS Data Archive, Cologne. ZA6902 Data file Version 1.0.0, https://doi.org/10.4232/1.12890
GESIS Data Archive, Cologne. ZA6902 Data file Version 1.0.0, https://doi.org/10.4232/1.12890
Abstract: 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 ... more
Abstract: 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 ... more
Date(s) of Data Collection: 01.03.2017 - 02.04.2017
Geographic coverage: Germany (DE)
Universe: Persons aged 15 to 75 years, resident in private households at the time of recruitment
Sampling Procedure: Probability Sample: Multistage Sample
Mode of Data Collection: Online survey
Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Data Collector: forsa Marktforschung, Frankfurt am Main
Analysis System(s): SPSS, Stata
Principal Investigator/ Authoring Entity, Institution: Blom, Annelies G. - Universität Mannheim, Bruch, Christian - Universität Mannheim, Felderer, Barbara - Universität Mannheim, Gebhard, Franziska - Universität Mannheim, Herzing, Jessica - Universität Mannheim, Krieger, Ulrich - Universität Mannheim, - SFB 884 ´Political Economy of Reforms´, Universität Mannheim
Publication year: 2017
DOI: 10.4232/1.12890
Study number: ZA6902
Publisher: GESIS Data Archive
External links: GIP University of Mannheim
Current Version: 1.0.0, 2017-09-28, https://doi.org/10.4232/1.12890
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2017-09-28 first archive edition (current version) https://doi.org/10.4232/1.12890 |
Publications: Steinacker, G.; Schmidt, S. (2014):
German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer.
München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2014, Steinacker, G.; Schmidt, S.; Schneekloth, U. (2012):
German Internet Panel (GIP): Stichprobenziehung und Rekrutierung der Teilnehmer.
München: TNS Infratest Sozialforschung, Feldbericht zur Erhebung 2012, Blom, A. G., Gathmann, C., & Krieger, U. (2015). Setting Up an Online Panel Representative of the General Population: The German Internet Panel. Field Methods, 27(4), 391–408. https://doi.org/10.1177/1525822X15574494, Blom, A. G., Bosnjak, M., Cornilleau, A., Cousteaux, A. S., Das, M., Douhou, S. & Krieger, U. (2016). A Comparison of Four Probability-Based Online and Mixed-Mode Panels in Europe. Social Science Computer Review, 34(1), 8-25. doi: 10.1177/0894439315574825, Blom, A. G., Herzing, J. M. E., Cornesse, C., Sakshaug, J. W., Krieger, U., & Bossert, D. (2017). Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence From the German Internet Panel. Social Science Computer Review, 35(4), 498–520. https://doi.org/10.1177/0894439316651584, Herzing, J. M. E., & Blom, A. G. (2019). The Influence of a Person’s Digital Affinity on Unit Nonresponse and Attrition in an Online Panel. Social Science Computer Review, 37(3), 404–424. doi.org/10.1177/0894439318774758, Felderer, B., & Blom, A. G. (2019). Acceptance of the automated online collection of geographical information. Sociological Methods & Research, 1-21. https://doi.org/10.1177/0049124119882480
Study group: German Internet Panel, GESIS Community Data
Date(s) of Data Collection: 01.01.2016 - 31.12.2016
GESIS Data Archive, Cologne. ZA6702 Data file Version 1.0.0, https://doi.org/10.4232/1.13559
GESIS Data Archive, Cologne. ZA6702 Data file Version 1.0.0, https://doi.org/10.4232/1.13559
Other Title (type): Realising Eurasia: Civilisation and Moral Economy in the 21st Century (Project Title)
Abstract: The data was collected for the ERC project ´Realising Eurasia: Civilisation and Moral Economy in the 21st Century´. The project examined small family businesses in medium ... more
Abstract: The data was collected for the ERC project ´Realising Eurasia: Civilisation and Moral Economy in the 21st Century´. The project examined small family businesses in medium ... more
Topics: LABOUR AND EMPLOYMENT, Religion and values, Social behaviour and attitudes, Family life and marriage, Gender and gender roles, Equality, inequality and social exclusion, Income, property and investment/saving, Labour and employment policy
Date(s) of Data Collection: 01.01.2016 - 31.12.2016
Geographic coverage: China (CN), Germany (DE), Denmark (DK), Hungary (HU), India (IN), Myanmar (MM), Russian Federation (RU), Turkey (TR)
Universe: Small family firms in the respective city of each country. 'Family firm' means owner managed firm. 'Small' according to the interpretation of each researcher guided by country-specific perceptions.
Number of Units: 305
Sampling Procedure: • Non-probability: Purposive;
The firms were selected according to a purposive sampling by each researcher.
The sample is not representative in a statistical sense (no probability sampling was applied).
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Paper;
The firms were selected according to a purposive sampling by each researcher. Firm owners (or those who were designated by the owner) filled out the questionnaire either on their own or together with the researcher.
Data Collector: Researchers of the Max Planck Institute for Social Anthropology
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 472
Principal Investigator/ Authoring Entity, Institution: Hann, Chris - Max Planck Institute for Social Anthropology, Halle (Saale)
Publication year: 2020
DOI: 10.4232/1.13559
Study number: ZA6702
Publisher: GESIS Data Archive
Current Version: 1.0.0, 2020-08-06, https://doi.org/10.4232/1.13559
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2020-08-06 first archive edition (current version) https://doi.org/10.4232/1.13559 |
Study group: GESIS Community Data
Linked
information:Variables (472)
information:Variables (472)
Date(s) of Data Collection: 24.09.2015 - 14.09.2016
GESIS Data Archive, Cologne. ZA6703 Data file Version 1.0.0, https://doi.org/10.4232/1.13514
GESIS Data Archive, Cologne. ZA6703 Data file Version 1.0.0, https://doi.org/10.4232/1.13514
Abstract: The second European Union Minorities and Discrimination Survey (EU-MIDIS II) was conducted in 2016 by the European Union Agency for Fundamental Rights (FRA) as a follow-u ... more
Abstract: The second European Union Minorities and Discrimination Survey (EU-MIDIS II) was conducted in 2016 by the European Union Agency for Fundamental Rights (FRA) as a follow-u ... more
Content: 1. Household information and child grid: number of persons living in the household; age; sex; employment situation; form of employment (full-time, part-time); year of migration; number of citizenships; respondent has the citizenship of the survey country; other country citizenship(s); year in which country citizenship was obtained; highest level of completed education; years spent in education; current attendance of school or vocational training; type of school or training currently attended; main reason for not continuing school; relationship to respondent 1 (household member only); household member has a roma background/ a russian background; work of household member in the last four weeks;
child grid: regular attendance of childcare; current school attendance; attendance of special school; main reasons for choosing this school; amount of Roma classmates; did the child do any work in the last 4 weeks; kind of work; hours the child works per week; paid work; housing and living standard: number of rooms in accommodation; housing tenure (own or rent); facilities in accommodation (e.g. tap water, a kitchen, indoor toilet, etc.); household can afford to keep its home adequately warm; problems with accommodation (e.g. it is too dark, leaking roof or damp walls, etc.).
2. Rights awareness, perceptions and attitudes: attitudes: level of attachment to the neighborhood, to the village, town or city, to the country; to the survey country, and to the European Union; self-identification ( European, survey country national, Roma/Russian,/country national of country of birth, country national of country of birth of mother and father;
Perceptions of discrimination: extend of discrimination on different grounds in the country based on skin colour, ethnic origin or immigrant background, religion or religious beliefs; awareness of support organisations to people who have been discriminated against; awareness of equality bodies in the country;
Right awareness: awareness of anti-discrimination law in the country; awareness of anti-discrimination campaigns in the past 12 months in the country; awareness of the Dost! Campaign – ‘Go beyond stereotypes, meet the Roma’; frequency of worry about experiencing harassment when out in public; avoidance of certain places for fear of being treated badly.
3. Employment: Unemployment: year when last in work; last job or occupation; currently registered as unemployed; currently looking for work; main reasons for not looking for work; ever looked for work in the country in the past 5 years; experiences of discriminatory job adverts in the country in the past 5 years; experiences of discrimination when looking for work in the past 5 years; date of last experience of discrimination because of ethnic or immigrant background/ Roma background/ ethnic minority background when looking for work; number of experiences of discrimination when looking for work in the past 12 months; main reasons for last experience of discrimination; person or institution to whom the incident was reported; degree of satisfaction with handling of complaint; reasons for non-reporting;
at work: current job or occupation; kind of employment contract in main job; having employees; number of employees; correspondence between current job and level of education; average number of working hours per week in the main job; experiences of discrimination at work in the past 5 years; specific experiences of discrimination at work because of ethnic or immigrant background/ Roma background/ ethnic minority background (e.g. given tasks below qualifications, not allowed to join a trade union, etc.); date of last experience of discrimination at work; number of experiences of discrimination at work in the past 12 months; main reasons for last experience of discrimination at work; person or institution to whom the incident was reported; degree of satisfaction with handling of complaint; reasons for non-reporting.
4. Discrimination:
Health: subjective assessment of own health condition; longstanding illness or health problems; limitation in daily activities because of a health problem in the past 6 months; national basic health insurance currently covers the health care expenses; additional health insurance coverage; need of medical examination or treatment in the past 12 months; unmet need for medical examination or treatment in the past 12 months; main reason why the respondent did not have a medical examination or treatment; use of healthcare services in the past 5 years; experiences of discrimination when using healthcare services in the past 5 years; date of last experience of discrimination when using healthcare services because of ethnic or immigrant background/ Roma background/ ethnic minority background; number of experiences of discrimination when using healthcare services in the past 12 months; main reasons for last experience of discrimination when using healthcare services; last time the respondent felt discriminated against because of ethnic or immigrant background/ Roma background/ ethnic minority background; person or institution to whom the incident was reported; degree of satisfaction with handling of complaint; reasons for non-reporting;
Housing: trying to rent or buy an apartment or a house in the country in the past 5 years; experiences of discrimination when trying to buy an apartment or a house; specific experiences of discrimination because of ethnic or immigrant background/ Roma background/ ethnic minority background (e.g. prevented from renting); number of experiences of discrimination in the past 5 years; main reasons for last experience of discrimination; person or institution to whom the incident was reported; degree of satisfaction with handling of complaint; reasons for non-reporting;
Education: highest level of education completed in the country; highest level of education completed in another country; country in which level was completed; current attendance of school or vocational training; type of school/ training; completed years of schooling in total in any country; parent or guardian of child(ren) within national compulsory school age range; contacts with persons from school attended by child(ren) in the past 5 years; experiences of discrimination when in contact with school authorities in the country; specific experiences of discrimination because of ethnic or immigrant background/ Roma background/ ethnic minority background; date of last experience; number of experiences; main reasons for last experience of discrimination; person or institution to whom the incident was reported; degree of satisfaction with handling of complaint; reasons for non-reporting; children’s experiences of discrimination in school because of their ethnic or immigrant background/ Roma background/ ethnic minority background;
Other services: use of different services in the country in the past 5 years; experiences of discrimination when using different services in the past 5 years and in the past 12 months; reporting of incidents in these situations; person or institution to whom discrimination in education was reported; degree of satisfaction with handling of complaint for discrimination in education; reasons for non-reporting discrimination in education; person or institution to whom discrimination in night club, bar, restaurant or hotel was reported; degree of satisfaction with handling of complaint for discrimination in night club, bar, restaurant or hotel; reasons for non-reporting discrimination in night club, bar, restaurant or hotel; person or institution to whom discrimination at administrative offices or public services war reported; degree of satisfaction with handling of complaint for discrimination at administrative offices or public services; reasons for non-reporting; person or institution to whom discrimination in public transport was reported; degree of satisfaction with handling of complaint for discrimination in public transport; reasons for non-reporting; person or institution to whom discrimination in a shop was reported; degree of satisfaction with handling of complaint for discrimination in a shop; reasons for non-reporting; awareness of experiences of discrimination among friends and family in the past 12 months;
Corruption: experiences of being asked or expected to pay bribe to government officials in the country in the past 5 years; type of official involved with last experiences of being asked or expected to pay bribe;
Police stops: experiences of being stopped, searched or questioned by police in the country in the past 5 years and in the past 12 months; context where last experience of being stopped, searched or questioned by police happened; last experience of being stopped related to ethnic or immigrant background; police requests during the last experience of being stopped; degree of respect shown by police during the last experience of being stopped; reporting disrespectful treatment by police; experiences of physical assault by police in the country in the past 5 years and in the past 12 months; reporting last incident of physical assault by police; reasons for non-reporting.
5. Victimisation: frequency of experiences of harassment in the country in the past 5 years; frequency of specific experiences of harassment related to ethnic or immigrant background in the country in the past 5 years and in the past 12 months; last incident of harassment related to ethnic or immigrant background among those mentioned; identity of perpetrator of last incident of harassment; ethnic background of perpetrator of last incident of harassment; reporting last incident of harassment and person or institution to whom the incident was reported; reasons for non-reporting; degree of satisfaction with handling of complaint by police; reporting any incident of harassment related to ethnic or immigrant background in the past 5 years and institution to whom the incident was reported.
Experiences of violence: frequency of experiences of violence in the country in the past 5 years; frequency of experiences of violence related to ethnic or immigrant background in the country in the past 5 years and in the past 12 months; identity and ethnic background of perpetrator of last incident of violence; reporting last incident of violence and person or institution to whom the incident was reported; reasons for non-reporting; degree of satisfaction with handling of complaint by police; reporting any incident of violence in the past 5 years and institution to whom the incident was reported; awareness or experiences of violence among friends and family because of ethnic minority background in the past 12 months.
6. Societal participation: residence and status: reasons for coming to the country; experiences of not having a valid residence permit; applied for country citizenship in the past; outcome of country citizenship application; reasons for not applying for country citizenship; wish to apply for country citizenship in the future; close family (husband, wife, children) living outside the country; applied for family reunification in the past; outcome of family reunification application; main reason for not applying for family reunification; experiences of living in other countries for more than 3 months, mention of those other countries; possibility of moving to another country in the future; country to which might move in the future; reasons for wanting to live in another country;
Participation and group relations: religion; use of traditional or religious clothes different from those typically worn in the country; extent of self-identification as Christian, Muslim, Jew, etc.; only Muslim women: use of headscarf or niqāb outside the house; experiences of victimization related to wearing a headscarf or niqab in the past 12 months, again all: main language(s) spoken at home; self-assessment of proficiency in country language(s) as regards to speaking, reading and writing; attendance of a country language course; main reasons for not attending a country language course;
Intergroup relations: friends who are of another ethnic minority background, who do not have a minority background, who have a different religion; amount of residents in the neighbourhood of the same ethnic or immigrant background/ Roma background/ ethnic minority background as the respondent;
Comfort scales about having neighbours with different backgrounds; comfort scales about member of family marrying someone with different backgrounds; comfort scales about acceptance of using physical violence in specific situations;
Trust and values: extent of agreement with value statements on gender equality; trust in institutions;
Active citizenship: Extent of interest in politics; actions with political connotations taken in the past 12 months; vote in the last local and national elections in the country or country of citizenship; types of help or support received in the country from a public institution or NGO because of ethnic or immigrant background; respondents belonging to the target group of Roma: assistance of a health mediator when going to the doctor; assistance of a Roma teaching assistant at school for children in the household.
7. Socio-economic background: current marital status; age at (first) marriage;
Income: types of income obtained by the household in the past 12 months; main source of income of the household; goods obtained in exchange for work in the past 12 months; remittances sent or brought to family members, relatives or friends llving in the country of birth;
Poverty: ability of the household to make ends meet; possession of a bank account; ability of the household to afford certain expenses; inability to pay costs on time in the last 12 months due to financial difficulties; items possessed in the household; unmet need of different items; frequency of food deprivation in the last month.
8. Information about the locations by the interviewer: description of the place where the household lives; entry phone system or locked gate/ door before reaching the door of the target respondent(s); household living in an area that is ethnically segregated.
9. Interviewer questionnaire: financial or other incentive for the interview; location and situation during the interview: place of interview; respondent alone during the interview; persons present during the interview; parts of the questionnaire with presence or participation of other people; respondent’s command of country language; language of the interview; use of translated tools; type of uses translated tool; respondent’s cooperation; respondent’s understanding of questions; reasons for misunderstandings; respondent’s interest in the topics; respondent’s honesty; number of persons selected for the interview in the household; country of birth (immigrants and their descendants); country of birth (recent immigrants); country of birth of mother and father; household and child grid has been completed by the first person selected for the interview; household respondent.
Additionally coded: country of interview; degree of urbanisation; type of interview (household interview, location interview); target group; number of completed interviews; sex and ethnicity of the interviewer; country; taget group; weigthing factors; age imputation status; age groups; household type, highest achieved education anywhere, self-declared main activity status; paid work in the last 4 weeks; country and target group; aggregate target groups; respondent ID; household ID; at risk of poverty after social transfers; prevalence of harassment (reasons) in 5 years before the survey; experiences of physical attack in the 5 years before the survey (out of all victims of physical attack); stopped by the police in the past 5 years; last police stop, search or questions because of ethnic or immigrant background, in the past 5 years; several variables on experiences of discrimination because of skin colour, ethnic origin, religion; reported to made a complaint about the last incident of discrimination because of skin colour, ethnic origin, religion; residence and citizenship status; imputation indicator; monthly income in income bands.
Derived variables: number of completed interviews in this household; respondent (categorises the respondent into one of four categories - 1st respondent interviewed, 2nd respondent interviewed, HH member - eligible and HH member - not eligible .1st respondent 2nd respondent HH member - eligible HH member - not eligible); generation: first or second generation migrant; HH member categorised as an adult or a child.
Topics: SOCIETY AND CULTURE, Crime and law enforcement, Equality, inequality and social exclusion, Minorities, Labour and employment policy
Date(s) of Data Collection: 24.09.2015 - 14.09.2016
Date(s) of Data Collection: 24.09.2015 - 14.09.2016, Varies from country to country; overall duration
Geographic coverage: Austria (AT), Belgium (BE), Bulgaria (BG), Cyprus (CY), Czech Republic (CZ), Germany (DE), Denmark (DK), Estonia (EE), Greece (GR), Spain (ES), Finland (FI), France (FR), 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: The survey interviewed people aged 16 and older:
- who describe themselves as having an ethnic minority background; this includes Roma and people from the Russian minority;
- who describe themselves as having an immigrant background; this includes immigrants and descendants of immigrants;
- whose usual place of residence is in the EU Member State surveyed;
- who have lived in private households in the EU Member State surveyed for at least the last 12 months. Immigrants, descendants of immigrants and new immigrants included both citizens and non-citizens of the survey country, regardless of their formal residence status. For the purposes of the survey, the term ´immigrants and descendants of immigrants´ includes the following:
- ´Immigrants´ are persons who were not born in an EU Member State or a European Economic Area (EEA)/European Free Trade Association (EFTA) country (Iceland, Liechtenstein, Norway and Switzerland), who had their usual residence in the territory of the EU Member State where the survey was conducted and who had been living in the survey country for at least 12 months before the interview.
- Descendants of immigrants´ are persons who were born in one of the 28 EU Member States (including the United Kingdom in 2016) or in an EEA/EFTA country, whose usual residence was on the territory of the EU Member State where the survey was conducted and who had at least one parent who was not born in an EU or EEA/EFTA country (Liechtenstein, Iceland, Norway and Switzerland).
- In some EU Member States, ´new immigrants´ were surveyed as part of EU-MIDIS II. These are persons who immigrated to an EU Member State in the ten years preceding the survey (i.e. after 2004), had their usual residence in the territory of the EU Member State where the survey was conducted and had lived in the survey country for at least 12 months before the interview. The country of birth of ´new immigrants´ can be any country outside the EU-28 or an EEA/EFTA country. EU-MIDIS II covered the following groups:
- Immigrants and descendants of immigrants from North Africa (in BE, ES, FR, IT, NL);
- Immigrants and descendants of immigrants from Turkey (in AT, BE, DE, DK, NL, SE);
- Immigrants and descendants of immigrants from Sub-Saharan Africa (in AT, DE, DK, FI, FR, IE, IT, LU, MT, PT, SE, UK);
- Immigrants and descendants of immigrants from Asia and South Asia (in CY , EL, IT, UK);
- New immigrants (in PL, SI);
- Roma (in BG, CZ, EL, ES, HR, HU, PT, RO, SK);
- Russian minorities (in EE, LT, LV).
Number of Units: 77656 household members, including 25515 respondents
Sampling Procedure: • Probability: Multistage
• Probability: Simple random
• Non-probability: Quota
• Mixed probability and non-probability;
Most of the target groups in EU-MIDIS II can be considered as ‘hard-to-reach’ for survey research – in terms of being relatively small in size and/or dispersed – and due the absence of sampling frames of the target groups. Whenever possible, a sample was drawn from a sampling frame covering the target population. However, the opportunities to sample the target population differed greatly across Member States due to different availability of sampling frames and distribution of the target group in the countries (i.e. list of persons that can be used to make a controlled representative selection of the target group). Advanced and new sampling methodologies had to be developed and employed in most countries, and the best possible design was chosen for each target group in each of the countries. For some target groups in some countries, a combination of different methods was used to ensure better coverage of the target population. Detailed descriptions of sampling methods used are published in a dedicated Technical Report.
National coverage in some countries had to be reduced for efficiency reasons. This means that in multistage sampling, areas with lower densities of the target population were excluded because screening of the target population would not have been possible. The median coverage across countries and target groups was 60 % of the target population.
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Face-to-face interview: Computer-assisted (CAPI/CAMI);
The main interview mode for EU-MIDIS II was Computer Assisted Personal Interview (CAPI) – that is, face-to-face interviews administered by interviewers using a computerised questionnaire.
Data Collector: Ipsos MORI, United Kingdom
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 1283
Notes: Weighting:
The survey results are based on weighted data to reflect the selection probabilities of each household and individual based on the sampling design. The weights also account for the differences in the (estimated) size of the target population in each of the countries. Where possible, the sample was post-stratified to the regional distribution and population characteristics of the covered target population. In Finland and the Netherlands, the sample was also adjusted to the gender and age distribution. The sample in the Netherlands was further adjusted according to generation (first- or second-generation), country of origin for immigrants and descendants of immigrants from North Africa, and age. For statistics, the samples were weighted by their estimated size, which means that country and group comparisons take the estimated total size of the target groups per country into account and do not (directly) reflect the sample sizes.
Principal Investigator/ Authoring Entity, Institution: - European Union Agency for Fundamental Rights (FRA), Vienna, Austria
Publication year: 2020
DOI: 10.4232/1.13514
Study number: ZA6703
Contributor, Institution, Role: Latcheva, Rossalina - Fair and Equal Societies, Research and Data Unit, European Union Agency for Fundamental Rights - ProjectManager
Publisher: GESIS Data Archive
External links: FRA Second European Union Minorities and Discrimination Survey - Main results, Country data, FRA Data Explorer
Current Version: 1.0.0, 2020-07-29, https://doi.org/10.4232/1.13514
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2020-07-29 first archive edition (current version) https://doi.org/10.4232/1.13514 |
Publications: FRA (European Union Agency for Fundamental Rights) (2017), Second European Union Minorities and Discrimination Survey - Main results, Luxembourg, Publications Office of the European Union (Publications Office). Available at: https://fra.europa.eu/en/publication/2017/eumidis-ii-main-results , FRA (European Union Agency for Fundamental Rights) (2017), Second European Union Minorities and Discrimination Survey - Technical report, Luxembourg, Publications Office of the European Union (Publications Office). Available at: https://fra.europa.eu/en/publication/2017/eumidis-ii-technical-report
Study group: Surveys from European Union Agency for Fundamental Rights (FRA), GESIS Community Data
Linked
information:Variables (1283)
information:Variables (1283)
Date(s) of Data Collection: 30.05.2015 - 08.06.2015
GESIS Data Archive, Cologne. ZA6595 Data file Version 3.0.0, https://doi.org/10.4232/1.13146
GESIS Data Archive, Cologne. ZA6595 Data file Version 3.0.0, https://doi.org/10.4232/1.13146
Other Title (type): Climate change, Biodiversity, and Discrimination of Minority Groups (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. Climate change: most important problems facing the world as a whole at the moment; assessment of the seriousness of the problem of climate change; responsible bodies for tackling climate change: national governments, European Union, regional and local authorities, business and industry, citizens, environmental groups; attitude towards the following statements: fighting climate change and more efficient use of energy can boost economy and jobs in the EU, fighting climate change is only effective if all countries of the world act together, reducing fossil fuel imports from outside the EU can benefit the EU economically, reducing fossil fuel imports from outside the EU can increase the security of EU energy supplies; personal actions taken in the last six months to fight climate change and kind of actions; importance of the national government setting targets to increase the amount of renewable energy by 2030; importance of the national government providing support for improving energy efficiency by 2030.
2. Attitudes of Europeans towards biodiversity: awareness of the term ‘biodiversity‘; self-rated knowledge about the loss of biodiversity; seriousness of the following issues: degradation and loss of natural habitats, decline and disappearance of animal and plant species, loss of benefits man gets from nature, disconnection from nature in urban areas and through modern lifestyles, negative economic impacts of biodiversity degradation; most important reasons to halt the loss of biodiversity: moral obligation, significance of biodiversity for well-being and health, importance for the production of goods, importance for the long-term economic development, indispensable to tackle climate change; seriousness of the decline and possible extinction of animal and plant species, natural habitats and ecosystems: locally, in the own country, in Europe, and globally; impact on the respondent; most important threats to biodiversity; prioritized EU measures to protect biodiversity; preferred EU measures to ensure product imports from sustainable resources; awareness of the Natura 2000 network; most important roles of nature protection areas; attitude towards prioritization of nature protection areas over economic development; personal efforts to protect biodiversity and kind of actions; activities on own balcony or in own garden: leave space for wild animals and plants, avoid using pesticides and chemicals, select plants that provide food for birds and insects, avoid introducing new plants that may become invasive.
3. Discrimination in the EU: assessment of the extent of discrimination in the own country with regard to: ethnic origin, sexual orientation, aged older than 55 years, aged younger than 30 years, religion, disability, gender identity, gender; own experience of discrimination in the last twelve months according to the above characteristics; adversely affecting characteristics of an applicant in a concurrent application situation: name, address, way of speaking, skin colour or ethnic origin, gender, gender identity, sexual orientation, aged older than 55 years, aged younger than 30 years, disability, religious belief, look, physical appearance; acceptance of a person in the highest political position with the following characteristics (scale): woman, homo- or bisexual, different ethnic origin than the majority of the population, aged under 30, different religious belief, disabled, aged over 75 years, transgender or transsexual; attitude towards specific measures to foster diversity in the workplace: staff training on diversity issues, monitoring of the workforce composition to evaluate the representation of groups at risk of discrimination, monitoring of recruitment procedures to guarantee equal opportunities; sufficient efforts of the own country to fight discrimination (scale); sufficient realization of operational measures to increase diversity in the workplace; knowledge of the own rights in the case of discrimination; authority to whom a self-experienced discrimination would be reported firstly: trade unions, NGOs or associations, tribunals, national equal opportunities organisation, lawyer, police; approval of introducing new measures to raise the level of protection of groups at risk of discrimination in areas such as access to goods and services, social protection, or education; willingness to provide the following personal information on an anonymous basis as part of a census in order to fight discrimination: ethnic origin, religion, health situation, sexual orientation; adequate reflection of social diversity in the media regarding: disability, ethnic origin, religion, aged older than 75 years, aged younger than 25 years, sexual orientation, gender, gender identity; attitude towards having a colleague belonging to one of the following groups of persons: Roma, black, Asian, white, Jewish, Muslim, Buddhist, Christian, atheist, homo- or bisexual, transgender or transsexual, disabled, aged younger than 25 years, aged older than 60 years; attitude towards the own child having a love relationship with a person belonging to one of the aforementioned groups; own country’s measures to fight the economic crisis lead to exclusion of people from the following groups: different ethnic origin than the majority of the population, different sexual orientation, aged older than 55 years, aged younger than 30 years, different religion, disabled, transgender or transsexual; attitude towards the following statements: same rights for homo- or bisexual people as for heterosexual ones, there is nothing wrong in sexual relationships between persons of the same sex, same sex marriages should be allowed throughout Europe; attitude towards the inclusion of selected aspects in school lessons and material: religion, ethnic origin, sexual orientation, gender identity; discomfort with regard to affection shown in public by the following kinds of couples: heterosexual, gay, lesbian; possibility for transsexual or transgender persons to change their civil documents in order to match inner gender identity; friendship or acquaintance with: people of different ethnic origin, Roma, homo- or bisexuals, disabled persons, persons with different religious affiliation, transsexual or transgender persons; own belonging to a minority; personal religious affiliation.
Demography: nationality; left-right self-placement; marital status; age at end of education; sex; age; 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; opinion leadership; EU image.
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: Social behaviour and attitudes, SOCIAL STRATIFICATION AND GROUPINGS, Minorities, Equality, inequality and social exclusion, NATURAL ENVIRONMENT, Plants and animals, Labour and employment policy
Date(s) of Data Collection: 30.05.2015 - 08.06.2015
Date(s) of Data Collection: 30.05.2015 - 08.06.2015, total
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: 27718
Sampling Procedure: Probability Sample: Multistage Sample
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;
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
Number of Variables: 518
Notes: Question module QA replicates the corresponding module surveyed in the context of Eurobarometer 80.2 (ZA5877), largely also the Eurobarometer 75.4 (ZA5564) ´Climate Change´ module, and partly questions asked on this topic in the context of Eurobarometer 72.1 (ZA4975) und former surveys.
Question module QB on ´Biodiversity´ largely replicates questions asked in Flash Eurobarometer 379 (ZA5853) as well as selected questions asked in former Flash surveys on the same topic (ZA5223 and ZA4735).
Question module QC on ´Discrimination´ partly replicates questions asked in the context of Eurobarometer 77.4 (ZA5613).
Please note the additional file “ZA6595_SpecialTopicOverview_Discrimination.xlsx” which contains an overview of questions on discrimination repeated over time.
Principal Investigator/ Authoring Entity, Institution: - European Commission, Brussels; Directorate General Communication COMM.A.1 ´Strategy, Corporate Communication Actions and Eurobarometer´
Publication year: 2018
DOI: 10.4232/1.13146, 10.4232/1.12442, 10.4232/1.12387
Alternate IDs: https://doi.org/10.3886/ICPSR36403.v1
Study number: ZA6595
Publisher: GESIS Data Archive
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 3.0.0, 2018-11-23, https://doi.org/10.4232/1.13146
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 3.0.0 | 2018-11-23 Archive edition (current version) https://doi.org/10.4232/1.13146 |
| 2.0.0 | 2016-01-29 Archive pre-release (Embargo lifted) https://doi.org/10.4232/1.12442 |
| 1.0.0 | 2015-11-23 Archive pre-release https://doi.org/10.4232/1.12387 |
Version changes: Changes between version 3.0.0 and it's previous version
| Date | Name | Description | Correction description |
|---|---|---|---|
| 2018-10-09 | qb15t | Please note that the derived variable qb15t (“PERS EFFORTS IN GARDEN/BALCONY - SUMMARIZED”) appears to be erroneous, but corresponds to results in official tables. The derivation of this variable is unclear. An additional variable, which subsumes respondents who are coded “at least one effort” (coded 1 at least once in qb15.1 to qb15.4), will be available with the next update. | 2018-11-23 The additional variable qb15t_bis has been constructed by the Archive. |
| 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. | 2018-11-23 value label and variable labels corrected |
Publications: European Commission: Special Eurobarometer 435. Climate Change. Conducted by TNS opinion & social at the request of the European Commission, Directorate-General for Climate Action. Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, November 2015. DOI: 10.2834/447336., European Commission: Special Eurobarometer 436. Attitudes of Europeans towards biodiversity. Conducted by TNS opinion & social at the request of the Directorate-General for Environment. Survey coordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, October 2015. DOI: 10.2779/832333., European Commission: Special Eurobarometer 437. Discrimination in the EU in 2015. Conducted by TNS opinion & social at the request of the Directorate-General for Justice and Consumers (DG JUST). Survey coordinated by the Directorate-General for Communication (DG COMM “Strategy, Corporate Communication Actions and Eurobarometer” Unit). Brussels, October 2015. DOI: 10.2838/499763.
Study group: EB - Standard and Special Eurobarometer
Linked
information:Variables (518)
information:Variables (518)
German Institute for Economic Research (DIW Berlin). Data File Version 1.0.0, https://doi.org/10.7478/s0006.1.v1
Other Title (type): SFB882 B4 qualitative Betriebsbefragung (Alternative title)
Abstract: Im Rahmen des durch die Deutsche Forschungsgemeinschaft (DFG) geförderten Sonderforschungsbereichs 882 „Von Heterogenitäten zu Ungleichheiten“ wurde die qualitative Betri ... more
Abstract: Im Rahmen des durch die Deutsche Forschungsgemeinschaft (DFG) geförderten Sonderforschungsbereichs 882 „Von Heterogenitäten zu Ungleichheiten“ wurde die qualitative Betri ... more
Availability: Restricted Access
Subject area: [Sociology [=] Employment Research]
Topics: Non-standard employment, Occupational attainment, employment policy, employment conditions, employment research, inequality, firm, labor force participation
Date(s) of Data Collection: 2013-11; 2015-06
Geographic coverage: Germany / DE
Universe: Betriebe des verarbeitenden Gewerbe, Bau, Handel und öffentliche Verwaltung im Beschäftigtenhistorik (BeH), Version V09.03.00, mit mindestens einer beschäftigten Person zum Stichtag 31.12.2012, 691.345 Betriebe
Sampling Procedure: bewusste Fallauswahl nach Kontrastgruppen kombiniert mit einem theoretischen Sampling
Temporal Research Design: cross-section
Notes: Kooperation: Institut für Arbeitsmarkt und Berufsforschung, https://iab.de/
Sampling: Zur Anwendung kam ein Mixed-Methods-Sampling. Dieses Vorgehen nutzte zum Sampling der qualitativen Betriebsbefragung zum einen Strukturinformationen aus der quantitativen Beschäftigtenhistorik (BeH) des IABs. Zum anderen wurden das Sampling-Schema und die dort definierten 6 Kontrastgruppen auf der Basis quantitativer
Sekundäranalysen des LIAB (Linked-Employer-Employee-Daten des IAB) und des
SIAB (Stichprobe der Integrierten Arbeitsmarktbiografien des IAB) gebildet. Der Vorteil dieses Vorgehens bestand darin, Recall-Betriebe mit unterschiedlicher Recall Nutzung identifizieren und Strukturinformationen aus der BeH sowie den vorherigen Sekundäranalysen zum Sampling der Betriebe nutzen zu können. Durch die - durch
das IAB bereitgestellten - Betriebsadressen, die den vorab definierten Kontrastgruppen zugeordnet waren, konnte das Forscherteam sowohl gezielt bestimmte Kon trastgruppen interviewen als auch die Variation im qualitativen Sample erhöhen, da der Zugang nicht durch Netzwerke gesteuert wurde und transregional war. Das Auswahlverfahren kombinierte die bewusste Auswahl mit Hilfe eines vorab definierten Sampling-Schemas mit dem theoretischen Sampling, bei dem weitere Sampling-Entscheidungen während der Datenerhebung und -auswertung getroffen wur den. Dieses Vorgehen begründete sich dadurch, dass im Rahmen der bewussten Auswahl zunächst alle verfügbaren Informationen genutzt werden konnten, um Recall-Betriebe zu identifizieren und miteinander zu vergleichen. Da im Laufe der qualitativen Datenauswertung jedoch neue Erkenntnisse über Recall-generierende Prozesse und Gründe gewonnen wurden, war es notwendig, die Kontrastgruppenbildung zu überprüfen, um neue Vergleichsgruppen in die Auswertung einbeziehen zu können.
Untersuchungsgegenstand: Betrieb
Anzahl der Erhebungseinheiten: 26 Betriebe
Erhebung: Eigenerhebung
Teilnahmequote: 11,6%
Maßnahmen zur Datenaufbereitung: Die Interviews wurden digital als Audiodateien aufgezeichnet. Alle Audiodateien wurden mit der Transkriptionssoftware F4 vollständig transkribiert. Die Transkriptionen wurde zum einen von projektinternem Personal nach vorher festgelegten Regeln und zum anderen extern von „Quatex“ nach GAT vorgenommen.
Maßnahmen der Anonymisierung: Die Transkripte wurden faktisch anonymisiert. Auch die Interviewprotokolle wurden faktisch
anonymisiert.
Zitation der Daten:
Hense/Andrea, Liebig, Stefan/Gebel, Tobias/Schork, Franziska. 2015. Personaleinsatz aktiv gestalten. Version 1. FDZ-BO am DIW Berlin. DOI: 10.7478/s0006.1.v1
Zugang:
Die Daten sind auf Antrag am Gastwissenschaftsarbeitsplatz im FDZ-BO am DIW Berlin nutzbar. Die Grundlage für den Datenzugang bildet ein Datennutzungsvertrag.
Primärforschende, Institution: Hense, Andrea; Universität Bielefeld, Fakultät für Soziologie, Liebig, Stefan; Universität Bielefeld, Fakultät für Soziologie, Gebel, Tobias; Universität Bielefeld, Fakultät für Soziologie, Schork, Franziska; Universität Bielefeld, Fakultät für Soziologie
Publication year: 2015
DOI: 10.7478/s0006.1.v1
Study number: SDN-10.7478-s0006.1.v1
Project funder: Deutsche Forschungsgemeinschaft (DFG)
Publisher: German Institute for Economic Research (DIW Berlin)
Current Version: 1.0.0, https://doi.org/10.7478/s0006.1.v1
