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Interviews with Gerontological Social Work and Diaconal Work Clients and Those Working with Older Adults 2021
No full textAineisto sisältää 30 ryhmähaastattelua ja 19 yksilöhaastattelua, jotka on tehty Gerontologinen sosiaalityö erityisen tuen tarpeisiin vastaamassa -tutkimushankkeessa (GERIT-tutkimus) 2021. Haastattelujen ajankohdan vuoksi useissa haastattelussa sivutaan COVID-19 rajoitusten vaikutuksia ikääntyneiden elämään ja heille tarjottaviin palveluihin. Asiakas- ja palveluohjaajien ryhmähaastatteluissa käsitellään asiakkaaksi tulon syitä, tyypillistä palveluprosessia sekä neuvontaa ja ohjausta. Lisäksi keskustellaan palvelutarpeen arvioinnista, arvioinnin jälkeisistä toimenpiteistä ja palvelutarpeisiin vastaamisen haasteista. Keskusteluja käydään myös erityisen tuen tarpeiden tunnistamisesta ja yhteistyöstä eri palvelutarjoajien kanssa. Kolmannen sektorin työntekijöiden ryhmähaastatteluissa kysytään, millaisia palveluja organisaatio tarjoaa ikääntyneille ja millaisessa tilanteessa ikääntyneet hakeutuvat näihin palveluihin. Lisäksi käsitellään ikääntyneiden haasteita, kuten taloudellisia ongelmia, sekä heidän voimavarojaan. Haastatteluissa keskustellaan myös vapaaehtoisten kouluttamisesta ja ikääntyneiden ohjaamisesta muihin palveluihin sekä yhteistyöstä alueen sosiaalipalveluiden kanssa. Asiakasohjauksen sosiaalityöntekijöiden ryhmähaastatteluissa kysytään onnistuneista ja haasteellisista asiakassuhteista ja pohditaan luottamusta ja osapuolten valtaa asiakassuhteessa. Lisäksi haastatteluissa keskustellaan siitä, miten asiakkaan motivaatio tai asenne vaikuttaa asiakassuhteeseen ja miten työntekijä voi vaikuttaa näihin tekijöihin. Haastatteluissa keskustellaan myös siitä, miten toimitaan, jos asiakas ei itse koe tai ymmärrä olevansa tuen tarpeessa, mutta työntekijä näkee tuen tarpeen ilmeisenä. Diakoniatyöntekijöiden ryhmähaastatteluissa käsitellään osallistujien omaa diakoniatyötaustaa ja heidän seurakuntiensa diakoniatyön vastuualueita. Osallistujat kertovat, miten ikääntyneet tulevat diakoniatyön piiriin ja millaisista syistä. He kuvaavat erilaisia haasteellisia asiakastilanteita ja arvioivat diakoniatyön vaikutusmahdollisuuksia vastata ikääntyneiden tuen tarpeisiin. Haastatteluissa käsitellään myös yhteistyötä muiden palveluntarjoajien kanssa. Etsivän vanhustyön ryhmähaastatteluissa käsitellään työn tunnusomaisia piirteitä ja tapoja tavoittaa asiakkaat. Haastatteluissa keskustellaan ikääntyneiden asiakkaiden tuen tarpeiden syistä, kuten yksinäisyydestä, eristäytymisestä ja verkostojen puutteesta. Haastatteluissa käydään keskusteluja etsivän vanhustyön toimintatavoista ja sen merkityksestä osana ikääntyvien palveluita. Gerontologisen sosiaalityöntekijöiden ryhmähaastatteluissa selvitetään, millä tavoin ja millaisista syistä asiakkaat tulevat palveluohjauksen piiriin. Osallistujat kuvaavat asiakasohjausprosessin sisällön ja palvelutarpeen selvittämisen käytännöt. Haastateltavilta kysytään, millaisissa tilanteissa tarvitaan sosiaalityöntekijän asiantuntemusta ja esimerkkejä näistä tilanteista. Lisäksi käsitellään erityisen tuen tarpeen tunnistamista ja yhteistyöstä ikäihmisten palveluita tuottavien kanssa. Sosiaalipäivystyksen ja toimeentulotuen työntekijöiden ryhmähaastatteluissa keskustellaan ikääntyneiden ohjautumisesta asiakkaiksi ja heidän palvelutarpeensa arvioinnista. Osallistujat käyvät läpi myös työn haasteita, asiakkaiden erityisen tuen tarpeita ja niiden tunnistamista. Lopuksi keskustellaan yhteistyöstä gerontologisen sosiaalityön kanssa. Diakoniatyön ja gerontologisen sosiaalityön asiakkaiden yksilöhaastatteluissa käydään läpi haastateltavien elämäntilannetta, arkipäivää, asuinympäristöä, kodin olosuhteita ja perhesuhteita. Haastateltavat kertovat elämänhistoriastaan, tekemästään työstä, nykyisistä huolista ja ongelmista. Heiltä kysytään, miten kokevat avun hakemisen ja saamisen onnistuneen ja he kertovat myös ajatuksia tulevaisuudestaan. Yksilöhaastatteluissa taustatietoina ovat asiakasryhmä, ikä, sukupuoli ja aluetieto. Ryhmähaastatteluissa taustatietoina ovat haastateltavien edustama ammatti- tai asiantuntijaryhmä, ajankohta ja haastatteluun osallistuneiden määrä ja sukupuoli.The data includes 30 group interviews and 19 individual interviews conducted in the Gerontological social work responding to complex needs of older adults (GERIT) research project. Due to the timing of the interviews, several of the interviews discuss the impact of COVID-19 restrictions on the lives of older people and the services provided to them. Group interviews with client and service advisors cover the reasons for becoming a client, the typical service process, and counselling and guidance. They also discuss service needs assessments, post-assessment interventions and the challenges of meeting service needs. Discussions also cover the identification of specific support needs and cooperation with different service providers. The group interviews with third sector workers ask what kind of services the organisation offers to older people and in what situation older people seek these services. They also discuss the challenges faced by older people, such as financial problems, and their resources. The interviews also discuss training of volunteers and referral of older people to other services, as well as cooperation with social services in the area. The group interviews with social workers in client counselling ask about successful and challenging client relationships and reflect on trust and the authority of the parties in a client relationship. The interviews also discuss how the client's motivation or attitude affects the relationship and how the worker can influence these factors. The interviews also discuss how to act if the client does not perceive or understand that they need support, but the worker sees an obvious need for support. The group interviews with diaconal workers focus on the participants' own diaconal work backgrounds and the diaconal responsibilities of their churches. Participants describe how and why older people come to the diaconal work. They also describe different types of challenging client situations and assess the impact of diaconal work in responding to the support needs of older people. The interviews also cover cooperation with other service providers. The group interviews in outreach work with older people focus on the characteristics of the work and ways of reaching clients. The interviews discuss the reasons for older clients' support needs, such as loneliness, isolation and lack of networks. The interviews include discussions on the practices of outreach work for older people and its relevance as part of services for older people. The group interviews with gerontological social workers explore the ways in which and the reasons why clients come to the service counselling. Participants describe the content of the client counselling process and the practices used to identify service needs. Interviewees are asked about the situations in which the expertise of a social worker is needed and examples of these situations. The identification of specific support needs and cooperation with providers of services for older people are also discussed. Group interviews with social welfare and income support workers discuss the referral of older people as clients and the assessment of their service needs. Participants also discuss the challenges of the work, the specific support needs of clients and how to identify them. Finally, cooperation with gerontological social work is discussed. The individual interviews with clients of diaconal work and gerontological social work go through the life situation, everyday life, living environment, home conditions and family relationships of the interviewees. The interviewees talk about their life history, the work they have done, their current concerns and problems. They are asked how they feel they have been able to seek and receive help, and they also share their thoughts about the future. In the individual interviews, the background information included client group, age, gender and regional data. For group interviews, background information included the professional or expert group represented by the interviewees, the time of the interview and the number and gender of the interviewees
2024 European Parliament Post-Election Survey in Six Countries (SUF edition)
No full textFull edition for scientific use. European Parliament Post-election online survey in six countries — Belgium, Germany, Italy, Hungary, The Netherlands, Poland — to study the meanings of voting for citizens in European Parliament elections
Growing Up in Scotland: Cohort 1: Sweep 2, 2006-2007: Special Licence Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Growing Up in Scotland (GUS) study is a large-scale longitudinal social survey which follows the lives of several groups of Scottish children from infancy through childhood and adolescence. It aims to provide important information on children, young people and their families in Scotland. The study forms a central part of the Scottish Government's strategy for the long-term monitoring and evaluation of its policies for children and young people, with a specific focus on the early years. The study seeks both to describe the characteristics, circumstances and experiences of children in their early years in Scotland and, through its longitudinal design, to generate a better understanding of how children's start in life can shape their longer term prospects and developmentSince 2005 fieldwork has been undertaken by the Scottish Centre for Social Research. The survey design for Birth Cohort 1 consisted of recruiting the parents of an initial total of 5,217 children aged 10 months old in 2005 and interviewing them annually until their child reached age six. Further fieldwork was then undertaken at ages 8, 10, 12, 14 and 17-18 with a sample boost added at age 12.Data for sweeps 1-9 were collected via an in-home, face-to-face interview with self-complete sections. Fieldwork for sweep 10 was disrupted due to the COVID pandemic. As a result, the final portion of the data was collected via web and telephone questionnaires. Sweep 11 data were gathered via web, telephone and face-to-face surveys of cohort members and their parent/carer.Further information about the survey may be found on the Growing Up in Scotland website.In May 20205, data and documentation for Cohort 1, Sweeps 1-11 were released as individual studies (SNs 9373-9383 and 9386-9387). Previously they were held under one study (SN 5760) which has been withdrawn from the data catalogue.Main Topics:The main carer questionnaire covered the following topics:household informationnon-resident parentsfood and nutritionparentingtransition to pre-schoolchildcarechild health and developmentactivities with othersneighbourhood and communitywork, employment and incomeaccommodation and transportheight and weight measurementsA topic overview covering all sweeps, is available on the GUS website.</p
Growing Up in Scotland: Cohort 1: Sweep 1, 2005-2006: Special Licence Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Growing Up in Scotland (GUS) study is a large-scale longitudinal social survey which follows the lives of several groups of Scottish children from infancy through childhood and adolescence. It aims to provide important information on children, young people and their families in Scotland. The study forms a central part of the Scottish Government's strategy for the long-term monitoring and evaluation of its policies for children and young people, with a specific focus on the early years. The study seeks both to describe the characteristics, circumstances and experiences of children in their early years in Scotland and, through its longitudinal design, to generate a better understanding of how children's start in life can shape their longer term prospects and developmentSince 2005 fieldwork has been undertaken by the Scottish Centre for Social Research. The survey design for Birth Cohort 1 consisted of recruiting the parents of an initial total of 5,217 children aged 10 months old in 2005 and interviewing them annually until their child reached age six. Further fieldwork was then undertaken at ages 8, 10, 12, 14 and 17-18 with a sample boost added at age 12.Data for sweeps 1-9 were collected via an in-home, face-to-face interview with self-complete sections. Fieldwork for sweep 10 was disrupted due to the COVID pandemic. As a result, the final portion of the data was collected via web and telephone questionnaires. Sweep 11 data were gathered via web, telephone and face-to-face surveys of cohort members and their parent/carer.Further information about the survey may be found on the Growing Up in Scotland website.In May 20205, data and documentation for Cohort 1, Sweeps 1-11 were released as individual studies (SNs 9373-9383 and 9386-9387). Previously they were held under one study (SN 5760) which has been withdrawn from the data catalogue.Main Topics:The questionnaire covered the following topics:household information non-resident parents and non-resident children the pregnancy and birththe first few monthscurrent situationparental supportparenting styles and activitiesparenting responsibilitieschildcarechild health and development self-completion section own employment, income and education partner's employment, income and education accommodationA topic overview covering all sweeps, is available on the GUS website.</div
German General Social Survey - ALLBUS 2023
No full textALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monitor attitudes, behavior, and social change in Germany. Each ALLBUS cross-sectional survey consists of one or two main question modules covering changing topics, a range of supplementary questions and a core module providing detailed demographic information. Additionally, data on the interview and the interviewers are provided as well. Key topics generally follow a 10-year replication cycle, many individual indicators and item batteries are replicated at shorter intervals. The main question module of ALLBUS 2023 is ´Religion and World View.´ Another focus of the survey was the replication of questions from a broad range of topics. This included questions on lifestyle and personality, political attitudes, ethnocentrism and minorities as well as on social inequality. ALLBUS 2023 was conducted in a mixed-mode design (CAPI (computer-assisted personal interview), MAIL (postal self-completion) and CAWI (computer-assisted web interview)).Social monitoring of trends in attitudes, behavior, and societal change in the Federal Republic of Germany. The main topics in 2023 are: 1.) Lifestyle and personality 2.) Social inequality 3.) Religion and world view 4.) Ethnocentrism and minorities 5.) Political attitudes 6.) Other topics 7.) ALLBUS-Demography 8.) Data on the interview (paradata) 9.) Added value Topics: 1.) Lifestyle and Personality: Internet use: frequency and type of device; frequency of reading books / e-books; importance of life aspects: family and children, work and occupation, free time and recreation, friends and acquaintances, relatives, religion and church, politics and public life, neighbours; social pessimism and orientation towards the future (anomia), interpersonal trust, overall life satisfaction, self-assessment of overall health. 2.) Social Inequality: Self-assessment of social class, fair share in standard of living, assessment of access to education, perceived prerequisites for success in society, attitudes towards social inequality and the welfare state, evaluation of personal social security; stance on extension or reduction in social services; attitudes towards different ideas of social justice. 3.) Religion and world view: Individual religiousness and attitudes towards religion: religious belief and reason for being (religious cosmology, meaning of life), self-assessment of religiousness and spirituality, frequency of meditation, religious indifference, religious experiences in personal life, attitude towards alternative forms of belief and parabelief, belief in God; belief in a life after death; belief in heaven, hell, and miracles; belief in reincarnation; religious fundamentalism. Religious affiliation, religious rites and practices: present and former denominational membership or other religious affiliation; leaving the church (reasons and when), frequency of church attendance or of visiting a house of worship, frequency of prayer; wish for religious funeral, married in church or according to religion, importance of religion in parental home, importance of religion in raising own children, baptism of children. Value orientations: Values and Life Goals Inventory (VaLiGo): wealth, experiencing community, hedonism, tolerance, tradition, self-reliance, achievement, conformity, stimulation, risk avoidance; individual value orientations (Klages): respect law and order, high standard of living, have power and influence, fantasy and creativity, security, help marginalized social groups, ability to assert oneself, industry and ambition, tolerance, political engagement, hedonism, faith in God, occupational achievement, self-realization; materialism / postmaterialism (Inglehart): importance of law and order, fighting rising prices, free expression of opinions and influence on governmental decisions; Moral attitudes: moral assessment of deviant acts; attitude towards techniques of reproductive medicine; attitudes towards assisted suicide. 4.) Ethnocentrism and minorities: Attitude towards the influx of various groups of immigrants, attitudes towards the foreigners living in Germany, contacts with foreigners, pride in being a German, perceived consequences of presence of foreigners in Germany, ranking of citizenship requirements, social distance to ethnic minorities and foreigners, support for the teaching of Islam in public schools; support for the building of mosques in Germany, attitudes towards Islam (Islamophobia), perceived risks and chances with respect to refugees. 5.) Politics: Willingness to engage in different forms of political participation, confidence in public institutions and organizations (public health service, federal constitutional court, federal parliament (Bundestag), city or municipal administration, churches, judiciary, television, newspapers, universities, federal government, the police, political parties, European Commission, European Parliament), political efficacy, participation in the vote as a civic duty, understanding of democracy and satisfaction with democracy in Germany, satisfaction with the performance of the federal government; populism scale: members of parliament must only be bound to the will of the people, politicians talk too much and do too little, ordinary citizens would make better representatives than professional politicians, political compromise is a betrayal of principles, the people should make the important political decisions, the people agree on what needs to happen politically, politicians only care about the rich and powerful; political interest, self-placement on left-right continuum; identification with own community, the federal state, the Federal Republic of Germany and the EU; attitudes relating to the process of German unification: unification was better for East / West, strangeness of citizens in the other part of Germany, attitudes towards the Stasi-past of individuals, evaluation of socialism as an idea; opinion on climate change and its causes, voting intention (Sonntagsfrage). 6.) Other topics: Assessment of the present and future economic situation in Germany, assessment of present and future personal economic situation, attitudes towards working fathers and mothers. 7.) ALLBUS-Demography: Details about the respondent: month and year of birth, age, gender, marital status, citizenship (nationality), number of citizenships, geographical origin, school education, vocational training, employment status, details about current or former occupation, affiliation to public service, working hours per week (primary and secondary job), supervisory functions, fear of unemployment, length of unemployment, status of non-employment, date of termination of full-time employment, current or former membership in a trade union, membership in a political party, respondent´s net monthly income. Place of residence (federal state, BIK-type of region, self-description), duration of residence in Germany, type of dwelling. Details about respondent´s current spouse: month and year of birth, age, school education, vocational training, employment status, details about current occupation, affiliation to public service, status of non-employment. Details about respondent´s steady partner: month and year of birth, age, school education, vocational training, employment status, details about current occupation, affiliation to public service, status of non-employment, common household with respondent. Details about respondent´s parents: country of origin, cohabitation with respondent as adolescent, school education of mother and father, vocational training of mother and father, details about both parents´ occupation. Description of household: size of household, net monthly household income, number of persons older than 17 in household (reduced size of household). Details about household members: family relation to respondent, gender, month and year of birth, age, marital status. Details about children not living in the household: number of children not living in the household, gender, year of birth, age. 8.) Data on the interview (paradata): Study number, digital object identifier, release, respondent id, ID of sample point, mode of data collection, number of contacts, percentage of questions completed, date of beginning and end of interview, duration of interview, presence of other persons during the interview, interference of other persons in the course of the interview, respondent followed interview on screen (CAPI), pauses during completion of survey (MAIL, CAWI), type of device (CAWI) Details about the interviewer: gender; age; school education; identification number; length of experience as an interviewer. 9.) Added value: Inglehart-Index, International Standard Classification of Occupations (ISCO) 1988 and 2008; Standard International Occupational Prestige Scale (SIOPS, according to Ganzeboom), International Socio-economic Index of Occupational Status (ISEI, according to Ganzeboom), European Socio-Economic Groups (ESeG), International Standard Classification of Education (ISCED) 1997 and 2011, living arrangement and family situation, per capita income, equivalised income (OECD-modified scale), transformation weight for analyses on household level, east-west design weight.Die Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS) ist eine Trenderhebung, in der seit 1980 alle zwei Jahre eine Zufallsstichprobe der deutschen Bevölkerung befragt wird. Das primäre Ziel des Umfrageprogramms ist die Beobachtung von Einstellungen, Verhalten und sozialen Wandel in Deutschland. Jede ALLBUS-Querschnittserhebung besteht aus ein oder zwei Schwerpunktmodulen zu wechselnden Themen. Diese werden ergänzt durch weitere inhaltliche Fragen und ein Kernmodul mit detaillierten demografischen Informationen. Zudem werden Zusatzinformation zum Interview und den Interviewern bereitgestellt. Die Schwerpunktmodule folgen in der Regel einem 10-jährigen Replikationszyklus, viele Einzelindikatoren und Itembatterien werden aber auch in kürzeren Abständen repliziert. Das Schwerpunktmodul von ALLBUS 2023 befasst sich mit ´Religion und Weltanschauung´. Weiterer Schwerpunkt der Erhebung war die Replikation von Fragen aus einem breiten Themenspektrum. Repliziert wurden u.a. Fragen zu Lebensstil und Persönlichkeit, Politik, Ethnozentrismus und Minoritäten und sozialer Ungleichheit. ALLBUS 2023 wurde in einem Mixed-Mode Design durchgeführt (CAPI (Computer-Assisted Personal Interview), MAIL (postalischer Selbstausfüller) und CAWI (Computer-Assisted Web Interview)).Trenderhebung zur gesellschaftlichen Dauerbeobachtung von Einstellungen, Verhalten und sozialem Wandel in Deutschland. Die Schwerpunkte dieser Untersuchung sind für 2023: 1.) Lebensstil und Persönlichkeit 2.) Soziale Ungleichheit 3.) Religion und Weltanschauung 4.) Ethnozentrismus und Minoritäten 5.) Politik 6.) Sonstiges 7.) ALLBUS-Demographie 8.) Daten zum Interview (Paradaten) 9.) Ergänzungen und abgeleitete Variablen Themen: 1.) Lebensstil und Persönlichkeit: Internetnutzung: Häufigkeit und Geräte, Häufigkeit der Lektüre von Büchern / eBooks; Wichtigkeit von Lebensbereichen: Familie und Kinder, Beruf und Arbeit, Freizeit und Erholung, Freunde und Bekannte, Verwandtschaft, Religion und Kirche, Politik und öffentliches Leben, Nachbarschaft; sozialer Pessimismus und Zukunftsorientierung (Anomia), interpersonales Vertrauen, subjektive Lebenszufriedenheit, Selbsteinschätzung allgemeiner Gesundheitszustand. 2.) Soziale Ungleichheit: Subjektive Schichteinstufung, gerechter Anteil am Lebensstandard, Zugangschancenungleichheit Bildung, wahrgenommene Voraussetzungen für gesellschaftlichen Erfolg und Aufstieg, Einstellungen zur sozialen Ungleichheit und zum Wohlfahrtsstaat, Bewertung der eigenen sozialen Sicherung, Einstellung zur Ausweitung oder Kürzung von Sozialleistungen, Einstellungen zu Gerechtigkeitskonzepten. 3.) Religion und Weltanschauung: Individuelle Religiosität und religionsbezogene Einstellungen: Glaube und Lebenssinn (Kosmologien, Sinn des Lebens), Selbsteinstufung der Religiosität und der Spiritualität, Häufigkeit von Meditation, religiöse Indifferenz, persönliche religiöse Erfahrung, Bewertung von alternativen Glaubensformen und Paraglaube, Gottesglaube, Glaubensinhalte, Fundamentalismus. Religionszugehörigkeit, religiöse Praxis und Riten: aktuelle und frühere Konfession bzw. Religionszugehörigkeit, Kirchenaustritt (Zeitpunkt und Motivation), Kirchgangshäufigkeit, Häufigkeit des Besuchs eines anderen Gotteshauses, Gebetshäufigkeit, Wunsch nach religiöser Beerdigung, kirchliche bzw. religiöse Trauung, eigene religiöse Erziehung, religiöse Erziehung der eigenen Kinder, Taufe der eigenen Kinder. Wertorientierungen: Values and Life Goals Inventory (VaLiGo): Reichtum, Gemeinschaft, Hedonismus, Toleranz, Traditionen, Unabhängigkeit, Leistung, Konformität, Stimulation; Risikovermeidung; individuelle Wertorientierungen (Klages): Gesetz und Ordnung respektieren, hoher Lebensstandard, Macht und Einfluss, Phantasie und Kreativität entwickeln, Sicherheit, Randgruppen helfen, eigene Bedürfnisse durchsetzen, Fleiß und Ehrgeiz, Toleranz, politisches Engagement, Hedonismus, Gottesglaube, Leistung im Beruf, Selbstverwirklichung; Postmaterialismus (Inglehart): Wichtigkeit von Ruhe und Ordnung, Bürgereinfluss, Inflationsbekämpfung und freier Meinungsäußerung; Moralische Einstellungen: Bewertung von abweichenden Verhaltensweisen, Bewertung von assistierten Reproduktionstechnologien, Einstellungen zur Sterbehilfe. 4.) Ethnozentrismus und Minoritäten: Einstellungen zum Zuzug verschiedener Personengruppen, Einstellungen zu Ausländern, Kontakte zu Ausländern; Stolz, ein Deutscher zu sein; Wahrnehmung der Konsequenzen von Zuwanderung; Wichtigkeit verschiedener Einbürgerungsvoraussetzungen; soziale Distanz zu verschiedenen Migrantengruppen; Befürwortung von Islamunterricht an Schulen; Meinung zum Bau von Moscheen in Deutschland; Einstellungen zum Islam in Deutschland (Islamophobie); wahrgenommene Risiken und Chancen durch Flüchtlinge. 5.) Politik: Beteiligungsbereitschaft bezüglich verschiedener Formen politischer Partizipation, Vertrauen in öffentliche Einrichtungen und Organisationen: (Gesundheitswesen, Bundesverfassungsgericht, Bundestag, Stadt- und Gemeindeverwaltung, evangelische und katholische Kirche, Justiz, Fernsehen, Zeitungswesen, Universitäten, Bundesregierung, Polizei, Parteien, Europäische Kommission, Europäisches Parlament), politische Selbstwirksamkeit, Wahlbeteiligung ist Bürgerpflicht (Wahlnorm), Demokratieverständnis und Zufriedenheit mit der Demokratie in Deutschland, Zufriedenheit mit der Bundesregierung; Populismusskala: Abgeordnete nur dem Volk verpflichtet, Politiker reden zu viel und handeln zu wenig, einfache Bürger sind bessere Volksvertreter, politischer Kompromiss ist Verrat von Prinzipien, Volk sollte politische Entscheidungen treffen, Volk ist sich einig was politisch passieren muss, Politiker vertreten nur die Reichen; politisches Interesse, Selbsteinstufung auf einem Links-Rechts-Kontinuum; Verbundenheit mit Gemeinde, Bundesland, Bundesrepublik, EU; Einstellungen zur Wiedervereinigung: Vorteile überwiegend für Westen oder Osten, wechselseitige Fremdheit der Bürger, Einstellung zum Umgang mit individueller Stasi-Vergangenheit, Einschätzung des Sozialismus als Idee; Meinung über den Klimawandel und seine Ursachen, Wahlabsicht (Sonntagsfrage). 6.) Sonstiges: Beurteilung der derzeitigen und zukünftigen Wirtschaftslage in Deutschland, Beurteilung der eigenen derzeitigen und zukünftigen wirtschaftlichen Situation, Einstellung zur Erwerbstätigkeit von Vätern und Müttern. 7.) ALLBUS-Demographie: Angaben zur befragten Person: Geburtsmonat, Geburtsjahr, Alter, Geschlecht, Familienstand, Staatsbürgerschaft (Nationalität), Anzahl der Staatsbürgerschaften, Herkunft, allgemeiner Schulabschluss, berufliche Ausbildung, Erwerbsstatus, Angaben zum gegenwärtigen bzw. früheren Beruf, Zugehörigkeit zum öffentlichen Dienst, wöchentliche Arbeitsdauer (Haupt- und Nebenerwerb), berufliche Aufsichtsfunktion, Furcht vor Verlust des Arbeitsplatzes, Dauer von Arbeitslosigkeit, Status der Nichterwerbstätigkeit, Zeitpunkt der Aufgabe hauptberuflicher Erwerbstätigkeit, jetzige oder frühere Gewerkschaftsmitgliedschaft, Mitgliedschaft in einer politischen Partei, monatliches Nettoeinkommen. Wohnort (Bundesland, BIK-Stadtregion, Selbstbeschreibung), Wohndauer in Deutschland, Wohnform. Angaben zum Ehepartner: Geburtsmonat, Geburtsjahr, Alter, allgemeiner Schulabschluss, berufliche Ausbildung, Erwerbstätigkeit (incl. Nichterwerbsstatus), Angaben zum gegenwärtigen Beruf, Zugehörigkeit zum öffentlichen Dienst. Angaben zum nichtehelichen Lebenspartner: Geburtsmonat, Geburtsjahr, Alter, allgemeiner Schulabschluss, berufliche Ausbildung, Erwerbstätigkeit (incl. Nichterwerbsstatus), Angaben zum gegenwärtigen Beruf, Zugehörigkeit zum öffentlichen Dienst, gemeinsamer Haushalt mit befragter Person. Angaben zu den Eltern: Herkunftsland, Zusammenleben mit Eltern im Alter von 15 Jahren, allgemeiner Schulabschluss, berufliche Ausbildung, Angaben zum Beruf. Haushaltsbeschreibung: Haushaltsgröße, Haushaltseinkommen, Anzahl von über 17-jährigen Haushaltspersonen (reduzierte Haushaltsgröße). Angaben zu den einzelnen Haushaltspersonen (Haushaltsliste): Verwandtschaftsverhältnis zur befragten Person, Geschlecht, Geburtsmonat, Geburtsjahr, Alter, Familienstand. Angaben zu Kindern außerhalb des Haushalts: Zahl der Kinder außer Haus, Geschlecht, Geburtsjahr, Alter. 8.) Daten zum Interview (Paradaten): Studiennummer, Digital Object Identifier, Release, Identifikationsnummer des Befragten, Nummer des Samplepoints, Erhebungsmodus, Zahl der Kontaktversuche, Anteil beantworteter Fragen, Datum Interviewbeginn und –ende, Interviewdauer, Anwesenheit weiterer Personen während des Interviews, Eingriff anderer Personen in die Beantwortung des Fragebogens, Mitverfolgen des Interviews am Bildschirm (CAPI), Unterbrechung der Bearbeitung des Fragebogens (MAIL, CAWI), verwendetes Endgerät (CAWI). Angaben zum/zur Interviewer/in: Geschlecht, Alter, Schulabschluss, Identifikationsnummer, Dauer der Interviewertätigkeit. 9.) Ergänzungen und abgeleitete Variablen: Postmaterialismus-Index (nach Inglehart), Berufsvercodung gemäß ISCO (International Standard Classification of Occupations) 1988 und 2008, SIOPS (nach Ganzeboom), ISEI (nach Ganzeboom), Sozioökonomische Gruppe (ESeG), ISCED (International Standard Classification of Education) 1997 und 2011, Lebensformen und Familiensituation, Pro-Kopf-Einkommen, Äquivalenzeinkommen (modifizierte OECD-Skala), Transformationsgewicht für Auswertungen auf Haushaltsebene, Ost-West-Gewicht für gesamtdeutsche Auswertungen
Public Perceptions of Agricultural Land Markets in Germany
No full text@Access requests !!!@@@ Conditions (Stand 08/2025): This dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access.@Access requests !!!@@@ Conditions (Stand 08/2025): This dataset is currently published under restricted access to facilitate the peer-review process. Access is temporarily limited to reviewers upon request and registration with GESIS. After the peer-review process is completed and the associated manuscript is published, the access conditions will be updated to open access
Transatlantic Privacy Perceptions (TAPP), Wave 5 (Autumn 2024)
No full textTAPP is an interdisciplinary research project conducted at the Universities of Maryland (UMD) and Munich (LMU). The privacy landscape is shaped by diverse actors from academia, policy, law, technology, journalism, and civil society, making it challenging to unify perspectives across sectors, regions, and cultural contexts. The Transatlantic Privacy Perceptions (TAPP) Panel addresses this by surveying influential privacy experts across jurisdictions with differing regulations. This survey captures stakeholders´ attitudes toward digital privacy, focusing on current and future challenges in privacy policies and practices. The focus of Wave 5 of the Transatlantic Privacy Perceptions (TAPP) Panel is the Panel’s annual module on the current state and effects of privacy laws, regulations, and practices particularly those related to digital privacy - within the context of respondents’ respective countries of work. Respondents are asked to reflect on how these privacy frameworks influence their business operations, highlighting both challenges and areas of progress. Wave 5 repeats 15 questions from Wave 2, conducted in 2023. This longitudinal approach allows TAPP to track shifts in opinions and observe how the regulatory landscape and attitudes toward digital privacy may have evolved over time. Additionally, with the rapid developments in artificial intelligence (AI), additional questions about the EU AI Act to gauge how stakeholders are responding to this emerging regulatory framework are included. As AI continues to advance, understanding reactions to the EU AI Act is critical in assessing its perceived impact on innovation and privacy protection. During the survey period from 14 August 2024 to 11 September 2024 privacy experts who deal with privacy in the United States and/or Europe were interviewed in online interviews (CAWI). Respondents were selected through a deliberate selection process based on their visibility, recognizability and influence in the field.Professional interest in privacy-related topics or both a personal and a professional interest in privacy-related topics; privacy as part of work; evaluation of digital privacy laws and regulations in the U.S./ the EU/ the country (favor more strongly the rights and needs of businesses or of individual users, encourage or discourage innovations and development of privacy preserving practices and technologies in organizations); current digital privacy laws in the U.S./ the EU/ the country cover more areas than needed, fewer areas than needed, or all areas needed; the digital privacy practices required by (U.S. / EU / country’s) law are enforced; overall rating of today’s digital privacy laws and organizational practices in the U.S./ the EU/ the country; optimism or pessimism on development of digital privacy policies and organizational practices in the next few years; preferred level of digital privacy policy In the U.S./ EU (Federal vs. EU-level, state vs. EU member-state level); rating of different firm’s and organizations’ performance in protecting digital privacy (Apple, Google, Meta (including Facebook, Instagram, Whatsapp, Oculus), Amazon (including Echo/Alexa), Microsoft, Visa, Mastercard, country’s statistical agency, country’s tax authority, country’s social insurance authority); rating of organizations’ current digital privacy policies and practices in the country; optimism or pessimism that organizations’ digital privacy policies and practices in the country will move in the preferred direction; ranking of priorities for protecting people’s digital privacy (giving individuals control over their data, enforcing rules about how data is processed, stored and shared, designing and deploying privacy preserving technology, adapting privacy laws to respond to current technological developments, regulating how data is processed, stored and shared);opinion on the EU AI Act (will be more likely to enable or hinder AI innovation); respondent performs privacy-related activities as part of his paid job vs. as a volunteer or activist; years of experience on privacy issues; sector for privacy work (academia, government, journalism, law, non-profit/NGO/ Think Tank, Tech industry, non-Tech industry, volunteer/ activist); region of expertise: policy context the respondent is most familiar with when it comes to privacy issues (United States, Europe, other); reasons why the EU AI Act will hinder AI innovations (favoritism towards incumbents, increased compliance cost, burden on SMEs, slowed development, legal uncertainty); currently not covered important areas of digital privacy laws in the U.S./ the EU/ the country (protecting vulnerable groups, couldn’t be classified, transparency and control to users, obligations during data processing, regulating targeted advertisement, comprehensive privacy legislation, in AI and emerging technologies, enforcement and redress mechanism). Additionally coded: Respondent ID, response ID, wave; returning respondent (individuals who have participated in at least one wave of TAPP); response status; willingness to participate in future waves of the TAPP Panel; country of expertise.TAPP ist ein interdisziplinäres Forschungsprojekt, das an den Universitäten von Maryland (UMD) und München (LMU) durchgeführt wird. Die Datenschutzlandschaft wird von verschiedenen Akteuren aus Wissenschaft, Politik, Recht, Technologie, Journalismus und Zivilgesellschaft geprägt, was es schwierig macht, Perspektiven über Sektoren, Regionen und kulturelle Kontexte hinweg zu vereinheitlichen. Das Transatlantic Privacy Perceptions (TAPP) Panel befasst sich mit dieser Herausforderung, indem es einflussreiche Datenschutzexperten aus verschiedenen Rechtsordnungen mit unterschiedlichen Vorschriften befragt. Diese Umfrage erfasst die Einstellungen der Interessengruppen zum digitalen Datenschutz und konzentriert sich dabei auf aktuelle und zukünftige Herausforderungen in der Datenschutzpolitik und -praxis. Der Schwerpunkt der fünften Welle des Transatlantic Privacy Perceptions (TAPP) Panel liegt auf dem jährlichen Modul des Panels zum aktuellen Stand und zu den Auswirkungen von Datenschutzgesetzen, -vorschriften und -praktiken, insbesondere im Zusammenhang mit dem digitalen Datenschutz – im Kontext der jeweiligen Länder der Befragten. Die Befragten werden gebeten, darüber nachzudenken, wie diese Datenschutzrahmen ihre Geschäftstätigkeit beeinflussen, und dabei sowohl Herausforderungen als auch Fortschritte hervorzuheben. In der fünften Welle werden 15 Fragen aus der zweiten Welle wiederholt, die 2023 durchgeführt wurde.Dieser longitudinale Ansatz ermöglicht es TAPP, Meinungsänderungen zu verfolgen und zu beobachten, wie sich das regulatorische Umfeld und die Einstellungen zum digitalen Datenschutz im Laufe der Zeit entwickelt haben könnten. Angesichts der rasanten Entwicklungen im Bereich der künstlichen Intelligenz (KI) wurden zusätzlich Fragen zum EU-KI-Gesetz aufgenommen, um zu ermitteln, wie die Interessengruppen auf diesen neuen Rechtsrahmen reagieren. Angesichts der fortschreitenden Entwicklung der KI ist es von entscheidender Bedeutung, die Reaktionen auf das EU-KI-Gesetz zu verstehen, um dessen wahrgenommene Auswirkungen auf Innovation und Datenschutz beurteilen zu können. Während des Umfragezeitraums vom 14. August 2024 bis zum 11. September 2024 wurden Datenschutzexperten, die sich mit Datenschutz in den Vereinigten Staaten und/oder Europa befassen, in Online-Interviews (CAWI) befragt. Die Befragten wurden in einem sorgfältigen Auswahlverfahren auf der Grundlage ihrer Sichtbarkeit, Bekanntheit und ihres Einflusses in diesem Bereich ausgewählt.Berufliches Interesse an datenschutzrelevanten Themen oder sowohl persönliches als auch berufliches Interesse an datenschutzrelevanten Themen; Datenschutz als Teil der Arbeit; Bewertung der Gesetze und Vorschriften zum digitalen Datenschutz in den USA/der EU/dem Land (begünstigen eher die Rechte und Bedürfnisse von Unternehmen oder von einzelnen Nutzern, fördern oder behindern Innovationen und die Entwicklung von Datenschutzpraktiken und -technologien in Organisationen); aktuelle Gesetze zum digitalen Datenschutz in den USA/der EU/dem Land decken mehr Bereiche als nötig, weniger Bereiche als nötig oder alle erforderlichen Bereiche ab; die durch die Gesetze (der USA/der EU/des Landes) vorgeschriebenen Praktiken zum digitalen Datenschutz werden durchgesetzt; Gesamtbewertung der aktuellen Gesetze zum digitalen Datenschutz und der organisatorischen Praktiken in den USA/der EU/dem Land; Optimismus oder Pessimismus hinsichtlich der Entwicklung von Richtlinien zum digitalen Datenschutz und organisatorischen Praktiken in den nächsten Jahren; bevorzugtes Niveau der Richtlinien zum digitalen Datenschutz in den USA/der EU (auf Bundesebene vs. EU-Ebene, auf Landesebene vs. EU-Mitgliedstaatenebene); Bewertung der Leistung verschiedener Unternehmen und Organisationen beim Schutz des digitalen Datenschutzes (Apple, Google, Meta (einschließlich Facebook, Instagram, WhatsApp, Oculus), Amazon (einschließlich Echo/Alexa), Microsoft, Visa, Mastercard, statistisches Amt des Landes, Steuerbehörde des Landes, Sozialversicherungsbehörde des Landes); Bewertung der aktuellen Datenschutzrichtlinien und -praktiken von Organisationen im Land; Optimismus oder Pessimismus hinsichtlich der Entwicklung der Datenschutzrichtlinien und -praktiken von Organisationen im Land in die gewünschte Richtung; Rangfolge der Prioritäten für den Schutz der digitalen Privatsphäre der Menschen (Individuen die Kontrolle über ihre Daten geben, Regeln für die Verarbeitung, Speicherung und Weitergabe von Daten durchsetzen, Technologien zum Schutz der Privatsphäre entwickeln und einsetzen, Datenschutzgesetze an aktuelle technologische Entwicklungen anpassen, die Verarbeitung, Speicherung und Weitergabe von Daten regulieren); Meinung zum EU-KI-Gesetz (wird KI-Innovationen eher fördern oder behindern); befragte Person übt datenschutzbezogene Tätigkeiten im Rahmen seiner bezahlten Arbeit oder als Freiwilliger oder Aktivist aus; Jahre der Erfahrung mit Datenschutzfragen; Sektor für Datenschutzarbeit (Wissenschaft, Regierung, Journalismus, Recht, gemeinnützige Organisationen/NGOs/Think Tanks, Technologiebranche, Nicht-Technologiebranche, Freiwillige/Aktivisten); Fachgebiet: politischer Kontext, mit dem die befragte Person in Bezug auf Datenschutzfragen am besten vertraut ist (Vereinigte Staaten, Europa, Sonstiges); Gründe, warum das EU-KI-Gesetz KI-Innovationen behindern wird (Begünstigung von Amtsinhabern, erhöhte Compliance-Kosten, Belastung für kleine und mittlere Unternehmen, verlangsamte Entwicklung, Rechtsunsicherheit); derzeit nicht abgedeckte wichtige Bereiche der Datenschutzgesetze in den USA/der EU/dem Land (Schutz gefährdeter Gruppen, nicht klassifizierbar, Transparenz und Kontrolle für Nutzer, Verpflichtungen bei der Datenverarbeitung, Regulierung gezielter Werbung, umfassende Datenschutzgesetze, im Bereich KI und neue Technologien, Durchsetzungs- und Rechtsbehelfsmechanismen). Zusätzlich kodiert: Befragten-ID, Antwort-ID, Welle; wiederkehrende Befragte (Personen, die an mindestens einer Welle von TAPP teilgenommen haben); Antwortstatus; Bereitschaft zur Teilnahme an zukünftigen Wellen des TAPP-Panels; Land der Expertise
Public Sector Management Practices Survey, 2023: Secure Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Public Sector Management Practices Survey (PSMPS), commissioned by HM Treasury as part of a Public Services Productivity Review, was based on the Management and Expectations Survey (MES). It aimed to collect intelligence on the use of structured management practices, technology use, administrative burdens, and barriers to improving organisational practices across publicly funded services.The dataset is in wide-format, where each row references a unique organisation and each column a characteristic or data-point associated with that organisation. Each organisation is classified to a part of the public sector, as well as region, employment size and SIC 2007 code. Survey answers are categorical data-points, stored numerically with categorical mappers provided, to allow numerical values to be converted to strings as required.Management practice scores are included for each level of aggregation: scoring question, section and total. Rounded designed post a-weights are included, and can be used to compile weighted survey results. This pilot survey was sent to ~ 14,500 legally defined public sector organisations. This meant organisations commonly considered as public-sector, such as General Practitioners were excluded.Outside the education and local-health sector, organisations were censused. Local healthcare units (hospitals, clinics etc) where threshold sampled based on employment. Educational organisations (schools) were randomly sampled, but also included a census component based on strata-specific features (size).As this is the first version of the survey, no variable was used to adjust the random sample component by variance of the target variable (management practice score).A total of 1,943 organisations responded to the voluntary survey, a response rate of 13.4%.Main Topics:The main topics of the Public Sector Management Practices Survey were:Organisational characteristicsManagement practicesImprovement and innovationAdministrationStaff retentionArtificial Intelligence and technologyEmployment relationsHealth sectorEducation</p
Labour Force Survey Five-Quarter Longitudinal Dataset, April 2023 - June, 2024
No full textAbstract copyright UK Data Service and data collection copyright owner.Background The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation. Longitudinal data The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary. LFS Documentation The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.Occupation data for 2021 and 2022 data filesThe ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.2022 WeightingThe population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.Main Topics:The five-quarter longitudinal datasets include a subset of the most commonly used variables from the Quarterly Labour Force Survey (QLFS), covering the main areas of the survey
Household Budget Survey (HBS), 2022-2023
No full textThe Household Budget Survey is a survey of a representative random sample of all private households in the State. The main purpose of the HBS is to determine in detail the pattern of household expenditure in order to update the weighting basis of the Consumer Price Index. It gives an average weekly household expenditure. Information was collected from October 2022 to October 2023. The achieved sample size for HBS 2022-2023 was 1,737 households. The data collection process was carried out by a team of Field Interviewers. Each household that participated in the HBS completed a detailed household questionnaire and each household member aged 16 years and over completed a personal questionnaire. Data capture for both personal and household questionnaires was by means of CAPI (Computer Assisted Personal Interviewing). All household members aged 16 and over were also required to fill in a paper diary over a two-week period, detailing their day-to-day personal expenditure over this period plus their regular outgoings such as utilities, television subscriptions, car insurance and direct debits