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Millennium Cohort Study: Polygenic Indices, 2015: Special Licence Access
No full textAbstract copyright UK Data Service and data collection copyright owner.Background:The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandFurther information about the MCS can be found on the Centre for Longitudinal Studies web pages.The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website. The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.Safeguarded versions of MCS studies:The Safeguarded versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.Polygenic IndicesPolygenic indices are available under Special Licence SN 9437. Derived summary scores have been created that combine the estimated effects of many different genes on a specific trait or characteristic, such as a person's risk of Alzheimer's disease, asthma, substance abuse, or mental health disorders, for example. These polygenic scores can be combined with existing survey data to offer a more nuanced understanding of how cohort members' outcomes may be shaped. Sub-sample studies:Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).Release of Sweeps 1 to 4 to Long Format (Summer 2020)To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Secure Access datasets:Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard Safeguarded Licence or Special Licence (see 'Access data' tab above).Secure Access versions of the MCS include:detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;Banded Distances to English Grammar Schools for MCS5 held under SN 8394linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030linked Hospital of Birth data held under SN 5724.The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).SN 9437 - Millennium Cohort Study: Polygenic Indices, 2015: Special Licence AccessPolygenic indices (PGIs) aggregate Genome-wide Association Studies (GWAS) estimates across all measured single nucleotide polymorphisms (SNPs) to provide a single estimate of an individual’s genetic predisposition towards the trait under study. As such, SNPs can be considered as the building blocks of PGIs. It is important to note that the genetic predisposition represented by PGI is known inasmuch as it has been estimated accurately and reliably from a GWAS; not all SNPs are included in the GWAS or the GWAS estimates for a given SNP are inaccurate, then the genetic predisposition represented by the PGI will be lower than the true genetic predisposition. The PGIs have been developed using a consistent methodology that has been applied to harmonised genetic data across each cohort, enabling researchers to engage in consistent cross-cohort analysis for using derived genetic measures for the first time. All PGIs have been derived from large scale Genome-wide Association Studies (GWAS) with publicly available summary statistics. This approach is hoped to enable and encourage wider use of the genetic data collected in these studies. High level guidance on the use and interpretation of PGIs is provided. The PGIs were also developed in a consistent manner in a birth cohort born in 1946 (MRC National Survey of Health and Development, 1946c), which can be obtained by separate application to the Unit for Lifelong Health and Ageing at UCL.Main Topics:Polygenic indices; polygenic scores; polygenic risk scores; genome-wide association studies; human genetics; anthropometrics; brain structure and cognition; health behaviours; mental health; personality; physical health; social outcomes.</p
English Private Landlord Survey, 2024
No full textAbstract copyright UK Data Service and data collection copyright owner.The English Private Landlord Survey (EPLS) is a national survey commissioned by the Department for Levelling Up, Housing and Communities (DLUHC). It surveys private landlords and letting agents in England, and collects information about their circumstances, their properties, their tenants, and the possible impact of legislative and policy changes in the sector. The aim of the EPLS is to inform government understanding of the characteristics and experiences of landlords and how they acquire, let, manage and maintain privately rented accommodation.Although the EPLS explores similar issues to previous government private landlord surveys, carried out in 2001, 2003, 2006 and 2010 (the 2010 study is available under SN 7114), it uses a new method and approach. Whereas previous surveys used face-to-face and telephone interviews with the sample drawn from the English Housing Survey, the EPLS uses an online survey with the sample drawn from landlords and agents with deposits registered with one of the three government-backed Tenancy Deposit Protection (TDP) schemes.More information about this survey can be found on the GOV.UK English Private Landlord Survey webpage.Main Topics:The questionnaire included questions about the landlord, the rental property and tenants, rental practice, rents and deposits, benefits and rent arrears, tenancies that ended, the landlord journey, future plans, landlord and agent concerns, finances and taxation and energy efficiency and safety
Community Life Survey, 2023-2024
No full textAbstract copyright UK Data Service and data collection copyright owner.The Community Life Survey (CLS) is a household survey conducted in England, tracking the latest trends and developments across areas key to encouraging social action and empowering communities, including: volunteering and charitable giving; views about the local area; community cohesion and belonging; community empowerment and participation; influencing local decisions and affairs; and subjective well-being and loneliness.The CLS was first commissioned by the Cabinet Office in 2012. From 2016-17, the Department for Digital, Culture, Media and Sport (DCMS) took over responsibility for publishing results. During 2020, the DCMS also commissioned the Community Life COVID-19 Re-contact Survey (CLRS) (SN 8781) to provide data on how the COVID-19 pandemic has affected volunteering, charitable giving, social cohesion, wellbeing and loneliness in England.For the 2023-24 and 2024-25 survey years, DCMS partnered with the Ministry of Housing, Communities and Local Government (MHCLG) to boost the CLS to be able to produce meaningful estimates at Local Authority level. This has enabled data collection at the most granular level since data collection commenced. The questionnaire for 2023-24 was developed collaboratively to adapt to the needs and interests of both DCMS and MHCLG, including some new questions and changes to existing questions, response options and definitions in the 2023-24 and upcoming 2024-25 surveys.BackgroundUp to 2015-16, the survey used a face-to-face methodology. Following thorough testing (experimental online versions of the survey were released for 2013-14, 2014-15 and 2015-16), the CLS moved online from 2016-17 onwards, with an end to the previous face-to-face method. The survey uses a push-to-web methodology (with paper mode for those who are not digitally engaged). The survey informs and directs policy and action in these areas;to provide data of value to all users, including public bodies, external stakeholders and the public; andunderpin further research and debate on building stronger communities.The CLS incorporates a small number of priority measures from the Citizenship Survey, which ran from 2001-2011, conducted by the then Department for Communities and Local Government. These measures were incorporated in the CLS so that trends in these issues could continue to be tracked over time. (The full Citizenship Survey series is held at the UK Data Archive under GNs 33347 and 33474.)Further information may be found on the GOV.UK Community Life Survey webpage.The Community Life Survey 2023-2024 was conducted between October 2023 and March 2024, with samples issued on a quarterly basis. The survey was conducted via an online and paper survey method called Address Based Online Surveying (ABOS). This is an affordable method of surveying the general population that still employs random sampling techniques. ABOS is a type of 'push to web' methodology, with a paper mode for those who are not digitally engaged.A Secure Access version of the data is available under SN 9406 and includes additional demographic variables and geographic indicators. Users should note that the Secure version is subject to restrictive access conditions, and are strongly advised to check whether the Safeguarded version is suitable for their needs before considering an application for the Secure version.Main Topics:The survey asks about a range of topics including: community empowerment, engagement and cohesion, civic engagement, volunteering, social action, charitable giving, subjective wellbeing and loneliness.The paper questionnaire covers the same broad topics as the online survey. However the paper questionnaire is reduced in length, therefore not all questions asked in the online survey are included in the paper version.</p
Community Life Survey, 2023-2024: Secure Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Community Life Survey (CLS) is a household survey conducted in England, tracking the latest trends and developments across areas key to encouraging social action and empowering communities, including: volunteering and charitable giving; views about the local area; community cohesion and belonging; community empowerment and participation; influencing local decisions and affairs; and subjective well-being and loneliness.The CLS was first commissioned by the Cabinet Office in 2012. From 2016-17, the Department for Digital, Culture, Media and Sport (DCMS) took over responsibility for publishing results. During 2020, the DCMS also commissioned the Community Life COVID-19 Re-contact Survey (CLRS) (SN 8781) to provide data on how the COVID-19 pandemic has affected volunteering, charitable giving, social cohesion, wellbeing and loneliness in England.For the 2023-24 and 2024-25 survey years, DCMS partnered with the Ministry of Housing, Communities and Local Government (MHCLG) to boost the CLS to be able to produce meaningful estimates at Local Authority level. This has enabled data collection at the most granular level since data collection commenced. The questionnaire for 2023-24 was developed collaboratively to adapt to the needs and interests of both DCMS and MHCLG, including some new questions and changes to existing questions, response options and definitions in the 2023-24 and upcoming 2024-25 surveys.BackgroundUp to 2015-16, the survey used a face-to-face methodology. Following thorough testing (experimental online versions of the survey were released for 2013-14, 2014-15 and 2015-16), the CLS moved online from 2016-17 onwards, with an end to the previous face-to-face method. The survey uses a push-to-web methodology (with paper mode for those who are not digitally engaged). The survey informs and directs policy and action in these areas;to provide data of value to all users, including public bodies, external stakeholders and the public; andunderpin further research and debate on building stronger communities.The CLS incorporates a small number of priority measures from the Citizenship Survey, which ran from 2001-2011, conducted by the then Department for Communities and Local Government. These measures were incorporated in the CLS so that trends in these issues could continue to be tracked over time. (The full Citizenship Survey series is held at the UK Data Archive under GNs 33347 and 33474.)Further information may be found on the GOV.UK Community Life Survey webpage.The Community Life Survey 2023-2024 was conducted between October 2023 and March 2024, with samples issued on a quarterly basis. The survey was conducted via an online and paper survey method called Address Based Online Surveying (ABOS). This is an affordable method of surveying the general population that still employs random sampling techniques. ABOS is a type of 'push to web' methodology, with a paper mode for those who are not digitally engaged.A Safeguarded version of the data is available under SN 9407 and includes less detailed demographic variables and geographic indicators. Users should note that the Secure version is subject to restrictive access conditions, and are strongly advised to check whether the Safeguarded version is suitable for their needs before considering an application for the Secure version.Main Topics:The survey asks about a range of topics including: community empowerment, engagement and cohesion, civic engagement, volunteering, social action, charitable giving, subjective wellbeing and loneliness.The paper questionnaire covers the same broad topics as the online survey. However the paper questionnaire is reduced in length, therefore not all questions asked in the online survey are included in the paper version.</p
Replikationsmaterialien: Wirkung askriptiver, kognitiver und non-kognitiver Arbeitsmarktsignale
No full textMithilfe der Experimentaldaten ist es möglich verschiedene Fragestellungen zur Arbeitsmarktwirkung askriptiver, kognitiver und non-kognitiver Signale zu untersuchen. Das faktorielle Survey (Vignettenexperiment) wurde mit Personalrekrutierenden (n=1.029) durchgeführt, die über Rekrutierungsexpertise in min. einem von 15 Berufen verfügen. Kern der Experimentalstudie ist die Beurteilung fiktiver Bewerber*innenprofile hinsichtlich der Einladungschance auf ein Vorstellungsgespräch zu einer ebenfalls fiktiven Stellenausschreibung. Insgesamt 10 Vignettenmerkmale wurden experimentell variiert. Die Experimentalfaktoren sind: - Geschlecht - Migrationshintergrund - Familienstand - Kinder - Bildungsweg - Note allg. Schulabschluss - Arbeitszeugnis - Weiterbildung - Ehrenamt - Hobby Außerdem stehen zwei Stata-Programmdateien zur Verfügung, die es ermöglichen, die Forschungsergebnisse aus den zitierten Artikeln zu replizieren.Mithilfe der Experimentaldaten ist es möglich verschiedene Fragestellungen zur Arbeitsmarktwirkung askriptiver, kognitiver und non-kognitiver Signale zu untersuchen. Das faktorielle Survey (Vignettenexperiment) wurde mit Personalrekrutierenden (n=1.029) durchgeführt, die über Rekrutierungsexpertise in min. einem von 15 Berufen verfügen. Kern der Experimentalstudie ist die Beurteilung fiktiver Bewerber*innenprofile hinsichtlich der Einladungschance auf ein Vorstellungsgespräch zu einer ebenfalls fiktiven Stellenausschreibung. Insgesamt 10 Vignettenmerkmale wurden experimentell variiert. Die Experimentalfaktoren sind: - Geschlecht - Migrationshintergrund - Familienstand - Kinder - Bildungsweg - Note allg. Schulabschluss - Arbeitszeugnis - Weiterbildung - Ehrenamt - Hobby Außerdem stehen zwei Stata-Programmdateien zur Verfügung, die es ermöglichen, die Forschungsergebnisse aus den zitierten Artikeln zu replizieren
Circular Economy Business Barometer 2023
No full textKiertotalousbarometrin yrityskyselyssä selvitettiin suomalaisten yritysten kiertotaloustuntemusta, kiertotaloustekoja ja liiketoiminnan yhteyttä kiertotalouteen sekä yritysten edustajien näkemyksiä kiertotalouden merkityksestä. Lisäksi kyselyssä selvitettiin, kuinka merkittävänä kiertotaloutta pidetään niin yritysten arvojen kuin liiketoiminnan kannalta. Barometri toteutettiin Suomen ympäristökeskuksen toimesta Circwaste Life IP -hankkeessa yhteistyössä ympäristöministeriön ja työ- ja elinkeinoministeriön kanssa. Yrityskyselyssä selvitettiin ensimmäiseksi kiertotalous-termin tunnettuutta sekä vastaajien arvioita erilaisten toimien merkittävyydestä kiertotaloudelle. Seuraavaksi kysyttiin kiertotalouden merkitystä yrityksen arvoille, ja kartoitettiin millaiset kiertotaloustoimet ovat osana yrityksen liiketoimintaa. Vaihtoehdot kattoivat esimerkiksi kierrättämiseen, jakamistalouteen sekä materiaali- ja energiankulutuksen vähentämiseen liittyviä toimia. Erilaisiin toimiin liittyen selvitettiin myös, tarjoaako yritys kiertotalouteen liittyvää koulutusta henkilöstölle tai onko yrityksessä tehty esimerkiksi ympäristövaikutusarviointeja. Seuraavaksi vastaajia pyydettiin arvioimaan kiertotalouden vaikutuksia yritykseen tähän mennessä. Arvioinnit koskivat muun muassa yrityksen kilpailukykyä, tuotannon tehokkuutta, liiketoiminta- ja kasvumahdollisuuksia, kustannuksia sekä yrityksen kokemaa säätelyä. Tämän jälkeen kysyttiin näkemyksiä siitä, kuinka yrityksiä pitäisi tukea kiertotalouteen siirtymisessä. Lopuksi barometrissä pyydettiin vielä vastaamaan, lajitellaanko yrityksessä yhdyskuntajätettä ja onko jätteiden lajittelulle aiheutunut haasteita yrityksessä. Taustamuuttujia aineistossa ovat yrityksen tarjonta, toimiala, henkilöstömäärä ja toiminta-alue, sekä yrityksen kasvutavoite ja keskimääräisen vuotuisen liikevaihdon suuruus. Kyselyyn vastannutta yrityksen edustajaa pyydettiin lisäksi kuvaamaan oma asemansa yrityksessä.The Circular Economy Business Barometer examined Finnish companies' awareness of the circular economy, their circular economy actions, and the relationship between circular economy practices and business operations. The survey also explored company representatives' views on the significance of the circular economy in terms of corporate values and business strategy. The barometer was conducted by the Finnish Environment Institute as part of the Circwaste Life IP project, in collaboration with the Ministry of the Environment and the Ministry of Economic Affairs and Employment. The survey first assessed familiarity with the term "circular economy" and respondents' evaluations of the importance of various actions related to it. It then explored the relevance of circular economy principles to company values and identified which circular economy practices were integrated into business operations. These included activities related to recycling, the sharing economy, and reducing material and energy consumption. The survey also investigated whether companies provide circular economy-related training for staff or conduct environmental impact assessments. Respondents were asked to evaluate the effects of circular economy practices on their company to date, including impacts on competitiveness, production efficiency, business and growth opportunities, costs, and regulatory experiences. The survey further gathered opinions on how companies should be supported in transitioning to a circular economy. Finally, respondents were asked whether their company sorts municipal waste and whether they have encountered challenges in doing so. Background variables in the dataset include the company's offerings, industry sector, number of employees, operational area, growth objectives, and average annual turnover. Respondents were also asked to describe their role within the company
Users Commenting on Online News 2020
No full textKyselytutkimuksen tavoitteena oli kartoittaa verkkouutisten kommentoijien erilaisia kommentointikäytäntöjä. Tarkoituksena oli selvittää, millaisia motiiveja ja tavoitteita verkkouutisten kommentoinnin taustalla on, ja millaisia merkityksiä toiminnalle annetaan. Kyselyn aluksi kartoitettiin, mitä uutisvälineitä kyselyyn osallistunut seuraa verkossa ja kuinka aktiivisesti. Tämän jälkeen kysyttiin, minkä uutisvälineen sisältöjä vastaaja kommentoi verkossa, millä kommentointialustalla ja kuinka usein. Lisäksi kyselyllä selvitettiin, millaisia uutisaiheita vastaaja kommentoi eniten. Seuraavaksi osallistujaa pyydettiin vastaamaan erilaisiin väittämiin kommentointikäytännöistään. Väittämät koskivat esimerkiksi nimettömyyden ja kommentointialustan vaikutusta kommentointiin. Lisäksi kyselyllä kartoitettiin syitä niin uutislähteiden sisältöjen kuin muiden käyttäjien kommentoinnille. Kysymyksillä selvitettiin myös vastaajien näkemyksiä kommentoinnin merkityksestä, kuten sen tuomasta lisäarvosta julkiselle keskustelulle ja uutisille. Taustamuuttujia aineistossa ovat vastaajan sukupuoli, ikä ja koulutusaste. Lisäksi kysyttiin, mitä puoluetta vastaaja äänesti vuoden 2019 eduskuntavaaleissa. Aineisto sisältää avovastaukset tallennettuna erilliseen tiedostoon.The aim of the survey was to explore the various commenting practices of individuals who comment on online news articles. The study sought to examine the motives and goals behind online news commenting, as well as the meanings users attach to the act of commenting. At the beginning of the survey, respondents were asked which news media they follow online and how actively. They were then asked which media outlets they comment on, which commenting platforms they use, and how frequently they engage in commenting. The survey also investigated which types of news topics respondents comment on most often. Next, participants responded to a series of statements regarding their commenting practices. These statements addressed, for example, the role of anonymity and the influence of the commenting platform on their behavior. The survey further explored reasons for commenting, both in relation to news content and other users' comments. Respondents were also asked to reflect on the perceived significance of commenting, such as its added value to public discourse and news content. Background variables in the dataset include the respondent's gender, age, and level of education. Additionally, respondents were asked which political party they voted for in the 2019 Finnish parliamentary elections. The dataset includes responses to open-ended questions in a separate file
Irish National Survey of Housing Quality (NHSQ), 2001-2002
No full textThe Irish National Survey of Housing Quality (NSHQ) was conducted by the Economic and Social Research Institute in 2001/2002 on behalf of the Department of the Environment, Community and Local Government. The purpose of the survey was to record very detailed information on the condition of the national housing stock. One of the requirements of the survey was to provide a database to the Department with a large enough sample to yield separate breakdowns at local authority level. The NSHQ completed sample size was over 40,000 households throughout the country. The overall response rate was 75 per cent. Sample weights are constructed to ensure that the sample is representative of the population along a number of key dimensions, such as region, household size, labour force participation, age of dwelling and so on. These weights adjust the sample for any lack of overall representativeness arising from sample design, the sampling frame available and patterns of non-response
Party Facts source code: Docker image with anonymized database (Version 2024-LTS) [Computer software]
No full textParty Facts links datasets on political parties and provides an online platform about parties and their history as recorded in social science datasets.Party Facts links datasets on political parties and provides an online platform about parties and their history as recorded in social science datasets
Code/Syntax: „Ich bin und bleibe DDR-Bürger“. Die Entwicklung der identifikativen Akkulturation im Lebensverlauf von 1972 und 1973 in Sachsen Geborenen
No full textDie Studie nutzt Daten der Sächsischen Längsschnittstudie. Es liegen Daten für 33 Wellen im Zeitraum von 1987 bis 2022 vor. Welle 1: Droß, J., Förster, P., & Wäsch, G. (2011). Sächsische Längsschnittstudie - Welle 1, 1987 (ZA6213; Version 1.0.0 ) [Data set]. GESIS, Köln. https://doi.org/10.4232/1.10774 bis Welle 33: Berth, H., Brähler, E., Förster, P., Stöbel-Richter, Y., & Zenger, M. (2023). Sächsische Längsschnittstudie - Welle 33, 2022 (ZA7842; Version 1.0.0 ) [Data set]. GESIS, Köln. https://doi.org/10.4232/1.14147 Die Studien sind bei GESIS auf Antrag verfügbar. Abstract des Artikels: Mittels Längsschnittdaten der Sächsischen Längsschnittstudie werden Struktur und Dynamik der sozialen Identifikationen mit der ehemaligen DDR und dem vereinten Deutschland über einen Zeitraum von mehr als 30 Jahren beschrieben. Die multiple Integration – die gleichzeitige Identifikation mit beiden Gesellschaften – ist der dominante Modus identifikativer Akkulturation, gefolgt von Separation (Identifikation nur mit der ehemaligen DDR) und Assimilation (ausschließliche Identifikation mit dem vereinten Deutschland), während die Marginalisation (keine Identifikation) kaum präferiert wird. Multivariate Analysen stützen die These einer langanhalten Wirkung der Sozialisation in der DDR nur bedingt; sie sprechen vielmehr für die Situationshypothese. Demnach wirken sich alters-, perioden- und intra-kohortenspezifische Erfahrungen, Erwartungen und Evaluationen systematisch auf die Stabilität der Identifikationen, den Wandel von Akkulturationsmodi und ihrer Sozialstruktur im vereinten Deutschland nach 1991 aus.Die Studie nutzt Daten der Sächsischen Längsschnittstudie. Es liegen Daten für 33 Wellen im Zeitraum von 1987 bis 2022 vor. Welle 1: Droß, J., Förster, P., & Wäsch, G. (2011). Sächsische Längsschnittstudie - Welle 1, 1987 (ZA6213; Version 1.0.0 ) [Data set]. GESIS, Köln. https://doi.org/10.4232/1.10774 bis Welle 33: Berth, H., Brähler, E., Förster, P., Stöbel-Richter, Y., & Zenger, M. (2023). Sächsische Längsschnittstudie - Welle 33, 2022 (ZA7842; Version 1.0.0 ) [Data set]. GESIS, Köln. https://doi.org/10.4232/1.14147 Die Studien sind bei GESIS auf Antrag verfügbar. Abstract des Artikels: Mittels Längsschnittdaten der Sächsischen Längsschnittstudie werden Struktur und Dynamik der sozialen Identifikationen mit der ehemaligen DDR und dem vereinten Deutschland über einen Zeitraum von mehr als 30 Jahren beschrieben. Die multiple Integration – die gleichzeitige Identifikation mit beiden Gesellschaften – ist der dominante Modus identifikativer Akkulturation, gefolgt von Separation (Identifikation nur mit der ehemaligen DDR) und Assimilation (ausschließliche Identifikation mit dem vereinten Deutschland), während die Marginalisation (keine Identifikation) kaum präferiert wird. Multivariate Analysen stützen die These einer langanhalten Wirkung der Sozialisation in der DDR nur bedingt; sie sprechen vielmehr für die Situationshypothese. Demnach wirken sich alters-, perioden- und intra-kohortenspezifische Erfahrungen, Erwartungen und Evaluationen systematisch auf die Stabilität der Identifikationen, den Wandel von Akkulturationsmodi und ihrer Sozialstruktur im vereinten Deutschland nach 1991 aus