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    Kantonale Migrationspolitik in der Schweiz

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    Im Jahre 2011 veröffentlichte die Eidgenössische Migrationskommission (EKM) die von ihr beim SFM und bei sotomo in Auftrag gegebene Studie «Gestaltungsspielräume im Föderalismus. Die Migrationspolitik in den Kantonen». Diese beschreibt die Anwendung der föderalen Ausländergesetzgebung in den 26 Kantonen und entwickelt Erklärungsansätze für feststellbare Unterschiede. Diese Studie ist eine Neuauflage, dessen Ziel ist, den heutigen Stand der kantonalen Umsetzung der föderalen Ausländer, Einbürgerungs- und Asylgesetzgebung zu erforschen und dokumentieren.Sur mandat de la CFM, Wichmann et al. (2011) ont dressé un premier inventaire des marges de manœuvre de la politique migratoire cantonale en Suisse. Cette étude documentait les différences dans les pratiques administratives et dans l’application des critères d’intégration lors de décisions en matière de droit des étrangers. La présente étude reprend ce fil conducteur. Elle actualise et élargit l’état des connaissances sur l’utilisation des marges de manœuvre cantonales en matière de politique migratoire en se référant à la situation en fin d’année 2017. Ses résultats doivent être considérés comme un instantané de la politique et des pratiques migratoires, qui se trouvent en constante évolution, et servir de base à de futures recherches. Plusieurs modifications importantes apportées à la loi après 2017 dans le domaine du droit des étrangers et de la nationalité ne sont donc abordées que de manière marginale. La présente étude se concentre sur les cinq domaines suivants : intégration (notamment l’encouragement spécifique de l’intégration), protection contre la discrimination (ainsi que l’ouverture des institutions), asile (aspects de l’accueil et de l’accompagnement des personnes du domaine de l’asile), admission (des travailleur·euse·s, des membres de la famille ainsi que les permis pour cas de rigueur) et naturalisation (aspects matériels et procéduraux de la naturalisation ordinaire).In 2011, the Federal Migration Commission mandated the study "Gestaltungsspielräume im Föderalismus. Die Migrationspolitik in den Kantonen". The study described the application of federal migration legislation in the 26 cantons and developed explanatory approaches for identifiable differences. This study is a new edition, the aim of which is to research and document the current state of cantonal implementation of federal immigration, naturalization, and asylum legislation

    DDS21, Cross Sectional Survey Wave 3: Popular Vote on 09.06.2024

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    Despite the fact that Switzerland is the country of direct democracy par excellence, research on citizens’ voting behaviour is currently underdeveloped in terms of continuity and methodological innovation. The project "Direct Democracy in Switzerland in the 21st century" (DDS21) addresses these shortcomings. It aims at contributing to a better understanding of citizens’ opinion formation and vote decisions in direct democracy in Switzerland, but also more generally. To that end, the project examines the role of four crucial determinants that have been neglected in the scholarly literature so far: advertisements and digital media used in voting campaigns, as well as citizens’ moral attitudes and political sophistication. Specific research questions will be analysed within four working packages (WP). WP1 considers the campaign influence on individual mobilization and voting behaviour by looking at advertisements. WP2 studies the use of digital media and its influence on citizen mobilization and opinion formation. WP3 analyses to what extent moral attitudes such as ‘just world beliefs’, ‘explanations for poverty’, as well as intuitive ‘moral foundations’ affect vote decisions. WP4 will develop innovative measures of political sophistication and link them to news consumption, political attitudes, and decision-making strategies. Data used by the WPs will be collected through an integrated multi-method design that combines classical surveys with an innovative feed-in panel design as well as focus groups. More specifically, a post-votation survey generates the basis for analysing vote decisions after each ballot. This survey then feeds into a long-term panel. Moreover, for two federal votes, a short-term panel will be implemented, with a pre-campaign and a post-campaign wave. Survey data will be combined with insights from focus groups. This longitudinal survey of citizens can be considered a major innovation in research on direct democracy, since such data do not exist neither in Switzerland nor abroad. The panel structure allows to study change and stability at the individual level across various ballot propositions. By focusing on the Swiss case, this project takes advantage of the frequency of popular votes in this country that facilitates planning and conducting of empirical research on direct democracy. More precisely, data will be collected for twelve federal votes that take place during the project. The project is carried out by researchers from five universities (Zurich, Bern, Basel, Lausanne, Geneva), FORS and ZDA. The leading house is the Center for Democracy in Aarau, and FORS is in charge of data collection and methodology. Moreover, project partners come from all Swiss political science department plus the Liechtenstein Institute

    Institutional Analysis

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    This research aims to advance knowledge on the causes, processes, and perspectives for change related to the social and political exclusion of unemployed youth. It has three main objectives: (1) to generate a new body of data on young unemployed (in particular, young long-term unemployed), but also precarious youth; (2) to advance theory and extend knowledge on the social and political exclusion of young unemployed; and (3) to provide practical insights into the potential paths for the social and political integration of young unemployed. The overall design of the research has three main components: (1) a multidimensional theoretical framework that combines macro-level, meso-level, and micro-level explanatory factors while taking into account various dimensions of exclusion (social and political exclusion, individual well-being); (2) a cross-national comparative design that includes European countries with different institutional approaches to unemployment (France, Germany, Italy, Poland, Sweden, and Switzerland); (3) an integrated methodological approach based on multiple sources and methods (analysis of state and EU policies and practices towards unemployment, a survey of organizations active in the field, a survey of young long-term unemployed and precarious youth, in-depth interviews with young long-term unemployed, and focus groups with stakeholders). Three important features of the proposed research underscore its innovative impact: (1) its comparative approach allowing for bench-marking and best-practice analysis; (2) its multidimensional approach allowing to consider the mediating impact of (European, national, or local) public policy on the way people cope with their situation of unemployed; (3) its interactive research process spurring policy-learning by bringing together different expertise and knowledge, and allowing at the same time for the transfer of scientific findings into policy recommendations

    MOSAiCH 2024. Measurement and Observation of Social Attitudes in Switzerland. Study on Digital Societies and related topics

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    MOSAiCH est une enquête transversale annuelle qui porte sur les valeurs et les attitudes de la population suisse à l'égard d'un large éventail de questions sociales. Le thème central de l'édition 2024 sont les Sociétés Digitales, défini par le module 2024 du International Social Survey Programme (ISSP), qui est un module entièrement nouveau (http://www.issp.org). Cette partie internationale est complétée par des questions sociodémographiques, ainsi que par un module composé de questions spécifiques à la Suisse. Les questions de cette partie suisse sont sélectionnées par le biais d'un appel public, soit en élargissant le module ISSP sur le plan thématique, soit en mesurant d'autres dimensions qui présentent un intérêt particulier pour la Suisse. Thèmes : - Sociétés Digitales (ISSP 2024), y compris les questions optionnelles internationales. - Données sociodémographiques (éducation, travail, revenu, composition du ménage, nationalité, religion, etc.) - Questions provenant de 7 propositions différentes de l'appel sur : 1) Ostracisme en ligne et numérique 2) Mesurer la capacité d'adaptation et la volonté d'utiliser l'internet et les applications dans le cadre d'efforts de changement personnel 3) Digitalisation et solitude 4) La mesure des attitudes à l'égard du risque : Comparaison entre une question à un seul item et des échelles à plusieurs items 5) Comportements et processus de communication à l'ère numérique : vers des clivages politiques et sociaux ? 6) Réglementation gouvernementale des applications de médias sociaux étrangers 7) La confiance numérique et les préoccupations relatives à la confidentialité des données en tant que sources de résistance à la collecte de données numériques.MOSAiCH è un'indagine trasversale annuale che si concentra sui valori e sugli atteggiamenti della popolazione svizzera nei confronti di un'ampia gamma di questioni sociali. Il focus tematico dell'edizione 2024 è costituito dalle Società Digitali, definite dal modulo 2024 dell'International Social Survey Programme (ISSP) che è un modulo completamente nuovo (http://www.issp.org). Questa parte internazionale è completata da domande socio-demografiche e da un modulo composto da domande specifiche per la Svizzera. Le domande di questa parte svizzera sono state selezionate attraverso un bando pubblico (Call), ampliando il modulo ISSP dal punto di vista tematico o misurando altre dimensioni di particolare interesse per la Svizzera. Temi: - Società digitali (ISSP 2024), comprese le domande internazionali facoltative. - Sociodemografia (istruzione, lavoro, reddito, composizione del nucleo familiare, nazionalità, religione, ecc.) - Domande da 7 diverse proposte del Call su: 1) Ostracismo online e digitale 2) Misurare l'adattabilità e la disponibilità a utilizzare Internet e le applicazioni per sforzi di autocambiamento 3) Digitalizzazione e solitudine 4) La misurazione degli atteggiamenti di rischio: Confronto tra una domanda a singolo item e scale a più item 5) Comportamenti e processi comunicativi nell'era digitale: verso alcuni cleavages politici e sociali? 6) Regolamentazione governativa delle app straniere per i social media 7) Fiducia digitale e preoccupazioni per la privacy dei dati come fonti di resistenza alla raccolta di dati digitali.MOSAiCH ist eine jährliche Querschnittsbefragung, die sich mit den Werten und Einstellungen der Schweizer Bevölkerung zu einer breiten Palette von gesellschaftlichen Themen befasst. Der thematische Schwerpunkt der Ausgabe 2024 liegt auf "Digitale Gesellschaften I", definiert durch das Modul 2024 des International Social Survey Programme (ISSP), das ein völlig neues Modul ist (http://www.issp.org). Dieser internationale Teil wird ergänzt durch ausgewählte soziodemografische Fragen sowie ein Modul mit spezifischen Fragen für die Schweiz. Die Fragen dieses Schweizer Teils werden im Rahmen einer öffentlichen Ausschreibung (Call) ausgewählt. Sie erweitern entweder das ISSP-Modul thematisch oder messen weitere Dimensionen, die für die Schweiz von besonderem Interesse sind. Themen: - Digitale Gesellschaften (ISSP 2024), einschliesslich optionaler internationaler Fragen. - Soziodemografie (Bildung, Arbeit, Einkommen, Haushaltszusammensetzung, Nationalität, Religion usw.) - Fragen aus 7 verschiedenen Vorschlägen aus dem Call zu: 1) Online- und digitale Ächtung 2) Messung der Anpassungsfähigkeit und der Bereitschaft, das Internet und Apps für eigene Veränderungsbestrebungen zu nutzen 3) Digitalisierung und Einsamkeit 4) Die Messung von Risikoeinstellungen: Vergleich einer Ein-Item-Frage mit Mehr-Item-Skalen 5) Kommunikationsverhalten und -prozesse im digitalen Zeitalter: Auf dem Weg zu einer politischen und sozialen Spaltung? 6) Staatliche Regulierung ausländischer Social Media Apps 7) Digitales Vertrauen und Datenschutzbedenken als Gründe des Widerstands gegen digitale DatenerfassungMOSAiCH is an annual cross-sectional survey that focuses on the Swiss population’s values and attitudes towards a wide range of social issues. The thematic focus of the 2024 edition lies on Digital Societies, defined by the 2024 module of the International Social Survey Program (ISSP) which is a completely new module (http://www.issp.org). This international part is supplemented by selected sociodemographic questions, as well as a module composed of questions specific to Switzerland. The questions of this Swiss part are selected through a public call, either expanding the ISSP module thematically or measuring other dimensions that are of special interest to Switzerland. Topics: - Digital Societies (ISSP 2024), including international optional questions. - Sociodemographics (education, work, income, household composition, nationality, religion, etc.) - Questions from 7 different proposals from the call on: 1) Online and Digital Ostracism 2) Measuring Adaptability and Willingness to Use the Internet and Apps for Self-Change Efforts 3) Digitalization and Loneliness 4) The Measurement of Risk Attitudes: Comparing a single-item question to multiple-item scales 5) Communication behaviors and processes in the digital age: towards some political and social cleavages? 6) Demand‐side politics of government regulation of foreign social media apps 7) Digital trust and data privacy concerns as sources of resistance to digital data collectio

    Q-Guide: example for a thesis (DOC ONLY)

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    The preparation and reporting of qualitative research require transparent values and consistent procedures to produce well-crafted, credible results. Such transparent reporting is especially important in the context of epistemic pluralism, as it aids in explicating theoretical commitments and their methodological implications. To this end, this paper develops a guide – called the Q-Guide – comprising 15 dimensions for preparing and reporting qualitative research, grounded in the three values of review, reflexivity and responsibility. It considers three established guides for reporting qualitative research in the social sciences and adapts them to methodological debates in different language traditions in geography to propose the Q-Guide. The Q-Guide provides a systematic framework of aspects to consider in preparing and reporting qualitative research. The paper provides the Q-Guide as a downloadable tool and two examples of its application to guide methods reporting. Adoption of the Q-Guide supports more consistent and transparent methods reporting, enabling more reflexive and responsible research

    Young People and Gambling Survey, 2025

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    Abstract copyright UK Data Service and data collection copyright owner.The aim of the Young People and Gambling Survey is to explore young people’s attitudes towards gambling and their participation in different types of gambling activities, designed to provide a means of tracking these perceptions and behaviours over time. The survey looks at those forms of gambling and gambling style games that children and young people legally take part in along with gambling on age restricted products.&nbsp;The 2025 research was conducted by Ipsos on behalf of the Gambling Commission. The study collected data from 3,666 pupils aged 11 to 17 years old across curriculum years 7 to 12 (S1 to S6 in Scotland) using the Ipsos Young People Omnibus. Pupils completed an online self-report survey in class. Data have been weighted to the known profile of the population in order to provide a representative sample.Main Topics:The following topics are covered: attitudes towards and exposure to gamblingexposure to gambling advertisingother activities and risk takinggames and gaming machinesNational Lottery playonline gamblingimpact of gambling on young peopleexperience of gambling</ul

    Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2025

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    Abstract 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.New reweighting policyFollowing the&nbsp;new reweighting policy&nbsp;ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021. 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. Additional data derived from the QLFS The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets. Variables DISEA and LNGLST Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018. An article explaining the quality assurance investigations that have been conducted so far is available on the ONS Methodology webpage. For any queries about Dataset A08 please email [email protected]. 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:&nbsp;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 two-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.<br

    Annual Population Survey, July 2024 - June 2025

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    Abstract copyright UK Data Service and data collection copyright owner.The&nbsp;Annual Population Survey&nbsp;(APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the&nbsp;Labour Force Survey&nbsp;(LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.For further detailed information about methodology, users should consult the&nbsp;Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS&nbsp;Labour Force Survey - User Guidance&nbsp;webpages.Occupation data for 2021 and 2022The 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. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023:&nbsp;Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022APS Well-Being DatasetsFrom 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the&nbsp;Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards.&nbsp;Further information on the transition can be found in the&nbsp;Personal well-being in the UK: 2015 to 2016&nbsp;article on the ONS website.APS disability variablesOver time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the&nbsp;ONS Methodology&nbsp;webpage.&nbsp;End User Licence and Secure Access APS dataUsers should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to: age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family nationality and country of origin geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district health: including main health problem, and current and past health problems education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from system variables: including week number when interview took place and number of households at address The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.Main Topics:Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications. Many of the variables included in the survey are the same as those in the LFS.<br

    Annual Population Survey, January - December, 2024

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    Abstract copyright UK Data Service and data collection copyright owner.The&nbsp;Annual Population Survey&nbsp;(APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the&nbsp;Labour Force Survey&nbsp;(LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.For further detailed information about methodology, users should consult the&nbsp;Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS&nbsp;Labour Force Survey - User Guidance&nbsp;webpages.Occupation data for 2021 and 2022The 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. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023:&nbsp;Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022APS Well-Being DatasetsFrom 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the&nbsp;Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards.&nbsp;Further information on the transition can be found in the&nbsp;Personal well-being in the UK: 2015 to 2016&nbsp;article on the ONS website.APS disability variablesOver time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the&nbsp;ONS Methodology&nbsp;webpage.&nbsp;End User Licence and Secure Access APS dataUsers should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to: age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family nationality and country of origin geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district health: including main health problem, and current and past health problems education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from system variables: including week number when interview took place and number of households at address The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.Latest edition informationFor the third edition (December 2025), smoking variables were added to the dataset.Main Topics:Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications. Many of the variables included in the survey are the same as those in the LFS.<br

    Data of a single-case experimental study on improving the listening comprehension of students with ID who are AAC users through shared text reading

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    Literacy is a crucial competence to participate in education and in society. This is also the case for persons with intellectual disability (ID). Indeed, literacy skills enhance their social participation and quality of life. For children with ID and complex communication needs (CCN) - who cannot communicate orally in an intelligible or functional manner - literacy skills acquire further significance since they might enable an expansion of their communicational, educational, professional and social opportunities in life. Unfortunately, studies indicate that the majority of persons with ID and CCN enter adulthood without functional literacy skills. Inappropriate teaching practices and the lack of intervention programs adapted to this group of students may explain this phenomenon. Indeed, teaching reading skills to students with ID and CCN is extremely challenging, as these students cannot answer orally (e.g. cannot pronounce the sound corresponding to a letter, cannot read a word aloud). A few studies conducted in English-speaking countries suggest that students with ID and CCN can progress in their reading skills if they benefit from phonics-based and systematic reading instruction programs. However, intervention studies for this group of students with high methodological quality are still extremely scarce. More studies are urgently required to better understand these students’ needs and how to teach them literacy skills efficiently. This research project encompasses four different studies, which took place one after the other: (1) a descriptive study investigating the reading skills and communicational skills of primary school students with ID and CCN, as well as the reading instruction provided to them (2) a single-case experimental study on teaching decoding and spelling skills to students with ID and CCN (3) a single-case experimental study on teaching early phonics skills to students with ID, autism spectrum disorder, and CCN (4) a single-case experimental study on teaching listening comprehension skills to students with ID and CC

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