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    Comportements de santé des élèves en Suisse - 2022

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    The Swiss HBSC study aims to assess health behaviour and lifestyles in fifth- to ninth-graders (seventh to eleventh grade HarmoS), most of whom are between 11 and 15 years old. The study is carried out every four years and is based on a nationally representative sample. This is why it allows to assess the health-related situation of adolescents in Switzerland on a regular basis, to compare it to the situation in earlier years, and to detect changes over time. More details on http://www.hbsc.org. The Swiss HBSC study is one of the national health statistics in Switzerland. The study provides the federal and cantonal authorities with important information that can be used for health policy development. The HBSC study is also a valuable scientific basis for the development of prevention and health promotion programs, in the school and the recreational context as well as on federal and cantonal level. In particular, two of the national health strategies (the strategy on “addiction” and the strategy on “non-communicable diseases”) rely, in part, on HBSC data. In Switzerland, the HBSC study is funded by the Federal Office of Public Health and the majority of the cantons. In 2022, Addiction Switzerland conducts the HBSC study for the tenth time (after 1986, 1990, 1994, 1998, 2002, 2006, 2010, 2014 and 2018) in Switzerland. More details on http://www.hbsc.ch.Sous l'égide de l'Organisation mondiale de la santé (OMS) sous le titre anglais "Health Behavior School Aged Children, HBSC", cette étude internationale s'intéresse aux comportements bénéfiques ou nuisibles à la santé des élèves de 11 à 15 ans. En 2022, Addiction Suisse, avec le soutien financier de l’Office fédéral de la santé publique (OFSP) et de la plupart des cantons, a conduit pour la dixième fois cette enquête en Suisse (après 1986, 1990, 1994, 1998, 2002, 2006, 2010, 2014 et 2018). En 2022, 46 pays y ont participé, pour la plupart européens. Les objectifs principaux sont: (1) l'étude comparative des comportements qui ont une incidence sur la santé - une attention particulière est accordée à la consommation d'alcool, de tabac et de cannabis, à l'alimentation et à l'activité physique; (2) la construction d'un système international d'information permettant de comparer les tendances de comportement des élèves de 11, 13 et 15 ans en matière de santé et de comportements de santé; (3) l'analyse approfondie de certains aspects significatifs des comportements de santé. Pour plus de détails sur l'enquête internationale, on peut consulter les pages web http://www.hbsc.org

    Surface Groups Singapore 1984-2021

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    This project develops a novel procedure for proxying economic activity with daytime satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a historical time series of daytime satellite imagery from the Landsat program dating back to 1984. Compared to satellite data on night light intensity, another common economic proxy, our proxy more precisely predicts economic activity at smaller regional levels and over longer time horizons. Our procedure is generalizable to any region in the world, and it has great potential for analyzing historical economic developments, evaluating local policy reforms, and controlling for economic activity at highly disaggregated regional levels in econometric applications. Therefore, we produce our proxy for any region in the world and publish the data as georeferend TIF files in this repository. In our paper, we demonstrate our measure’s usefulness for the example of Germany, where East German data on economic activity are unavailable for detailed regional levels and historical time series

    GESIS Panel.dbd Web Tracking - Campus File (Training and Teaching Dataset)

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    The Campus File is a privacy-protected dataset derived from the web tracking component of the GESIS Panel.dbd Prerelease, which was collected during the 2024 European Parliament election campaign. While the original Prerelease Scientific Use File (SUF) contains detailed browser-based web tracking data (including domains, URLs, and HTML snapshots) linked to rich survey information, the Campus File provides a strongly anonymized and simplified version of these data for training, teaching, demonstration, and methodological exercises. The Campus File includes all participants who consented to and participated in web tracking via the GESIS Surf browser plugin. It contains (a) aggregated host-level visit data with timestamps, (b) a small set of coarsened demographic survey indicators, and (c) a limited selection of non-sensitive attitudinal and behavioral survey items. All full URLs, HTML content, session structures, and sensitive survey variables are removed. The dataset is subject to multiple anonymization safeguards, including host-level aggregation, minimum frequency thresholding, de-regionalization of hosts, suppression of sensitive domains, and manual review of remaining host identifiers. As a result, the Campus File cannot be used to reconstruct individual browsing behavior or identify participants and is explicitly restricted to non-scientific, instructional use.Das Campus File ist ein datenschutzmaximierter Datensatz, der auf der Web-Tracking-Komponente des GESIS Panel.dbd Prerelease basiert, welcher im Kontext der Europawahl 2024 erhoben wurde. Während das ursprüngliche Prerelease Scientific Use File (SUF) detaillierte browserbasierte Web-Tracking-Daten (einschließlich Domains, vollständiger URLs und HTML-Snapshots) in Verknüpfung mit umfangreichen Befragungsdaten enthält, stellt das Campus File eine stark anonymisierte und vereinfachte Variante dieser Daten für interne Trainings-, Lehr-, Demonstrations- und methodische Übungszwecke bereit. Das Campus File umfasst alle Teilnehmenden, die der Web-Erfassung über das Browser-Plugin GESIS Surf zugestimmt und daran teilgenommen haben. Es enthält (a) aggregierte Tracking Daten auf Host-Ebene mit Zeitstempeln, (b) einen Auszug grob kategorisierter demografischer Befragungsvariablen sowie (c) eine begrenzte Auswahl nicht-sensitiver einstellungs- und verhaltensbezogener Befragungsitems. Sämtliche vollständigen URLs, HTML-Inhalte sowie sensible Befragungsvariablen wurden entfernt. Der Datensatz unterliegt mehreren Anonymisierungsschutzmaßnahmen, darunter Aggregation auf Host-Ebene, Mindesthäufigkeitsschwellen, De-Regionalisierung von Hosts, Unterdrückung sensibler Domains sowie eine abschließende manuelle Prüfung verbleibender Host-Identifikatoren. Infolgedessen erlaubt das Campus File weder die Rekonstruktion individuellen Surfverhaltens noch die Identifikation von Teilnehmenden und ist ausdrücklich auf nicht-wissenschaftliche, instruktionale Nutzung beschränkt

    CHILL: Mobile Sensing (m-Path app)

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    Many people worldwide want to be less neurotic. As lower levels of neuroticism predict a variety of positive life outcomes, including health, success, and relationship quality, interventions that help people to become less neurotic could have wide-ranging impacts. This study protocol describes the rationale and design of the CHILL (Changing How I Live Life) study, which aims to test and evaluate a smartphone-based intervention to reduce neuroticism in the general public. The CHILL study comprises four survey assessments spread over 5 months, a 6-week intervention phase, and two 1-week experience sampling phases without interventions. During the intervention phase, participants motivated to become less neurotic are randomized to four core treatment groups. These treatment groups differ in their employed intervention strategies that target different aspects and levels of neuroticism. The CHILL study moves beyond existing volitional personality change research by testing which strategies most effectively decrease neuroticism and evaluating the longevity and generalizability of intervention-induced neuroticism change via peer-reports, implicit personality assessments, and a 7-week follow-up period. The goals of the CHILL study are to generate an effective method for decreasing neuroticism and facilitating the development of a comprehensive theory of neuroticism change

    Evaluation of the Community Safety Initiative of the Childhood Development Initiative: Community Safety Surveys, 2010-2011

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    Established in 2008, the Community Safety Initiative (CSI) aimed to improve safety within the home, school and wider community environment in Tallaght West, Co. Dublin. Initiatives were implemented in targeted areas to raise community spirit and belonging locally, build strong relationships and trust between residents and service providers, and establish a shared sense of responsibility amongst residents and service providers in relation to improving safety. This study evaluated the implementation of the initiative by the Childhood Development Initiative between 2008 and 2011. Quantitative data formed one part of the evidence for this evaluation. A total of three semi-structured questionnaire surveys were conducted in three CSI pilot sites (sample = 600 houses) in Tallaght West during December 2010, January 2011 and again in June 2011. The surveys gathered the opinions and views from a total of 291 community residents concerning the impact of the CSI in terms of safety / service awareness, improved safety, pro-social behaviour and engagement in maintaining a safe community, and improvements to the physical environment locally

    Labour Force Survey (LFS), 2016

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    The Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family compositio

    StudentSurvey.ie (Irish Survey of Student Engagement), 2020

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    The central aim of StudentSurvey.ie (Irish Survey of Student Engagement, formerly known by the acronym “ISSE”) is to develop a valuable source of information about students’ experiences of higher education in Ireland. The results of the survey are intended primarily to add value at institutional level, and to inform national policy. A detailed online survey was offered to first year undergraduates, final year undergraduates and postgraduate students on taught programmes. Data are presented as responses to individual items and as calculated scores for nine indicators that relate to broad aspects of student engagement, such as Collaborative Learning and Higher Order Learning. StudentSurvey.ie has formative links with the US National Survey of Student Engagement (NSSE) and the Australasian Survey of Student Engagement (AUSSE). Thus, Irish data can be evaluated in the context of other jurisdictions in addition to the national or sector contexts. Note that a there was a substantial revision of questions deployed in 2016. This revision means that 2020, 2019, 2018, 2017 and 2016 data may be compared directly, but do not fully compare to data from previous years. The term ‘student engagement’ is used in educational contexts to refer to a range of related, but distinct, understandings of the interaction between students and the higher education institutions they attend. Most, if not all, interpretations of student engagement are based on the extent to which students actively avail of opportunities to involve themselves in ‘educationally beneficial’ activities and the extent to which institutions enable, facilitate and encourage such involvement. StudentSurvey.ie focuses on students’ engagement with their learning and their learning environments. It does not directly explore, for example, students’ involvement in quality assurance or in institutional decision-making. Measuring engagement can provide a means to develop a fuller understanding of the student experience above and beyond that ascertained through surveys of student satisfaction alone. A total of 44,707 students from twenty six institutions responded to the survey which was undertaken in February – March 2020. All but five participating institutions had completed fieldwork for StudentSurvey.ie 2020 before the restrictions due to public health guidance related to COVID-19 were put in place and the pivot to emergency online delivery of teaching began. When interpreting the results for 2020, it is important to bear in mind that all questions require students to reflect on the academic year to date in its entirety. The value of the results of StudentSurvey.ie is therefore twofold. Firstly, they provide insightful feedback from students about wide-ranging aspects of their experience, which institutions can use to understand and improve the student experience and to measure the impact of recent interventions. Secondly, and uniquely against the current backdrop, the results also provide us with a national and broad-based baseline of 44,707 students before their experience changed dramatically, with very little warning or time to plan for and adapt to the closure of campuses and emergency online environments. The StudentSurvey.ie National Report Editorial Group aims to establish this as a baseline, particularly in Chapter 4, and intends to return to the same questions in 2021 to evaluate the impact of the responses to the ongoing COVID-19 crisis on the cohort whose experience of student life is anticipated to be changed most fundamentally – first year undergraduate students

    Labour Force Survey (LFS), 2015

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    The Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family compositio

    Labour Force Survey (LFS), 2002

    No full text
    The Labour Force Survey (LFS) is a large-scale, nationwide survey of households in Ireland conducted by the Central Statistics Office. It is designed to produce quarterly labour force estimates that include the official measure of employment and unemployment in the state (ILO basis). This survey replaced the Quarterly National Household Survey (QNHS) from Q3 2017. The QNHS began in September 1997, replacing the annual April Labour Force Survey (LFS). Each quarter the LFS produces data among others on: Numbers unemployed Persons in employment Labour force participation rates Inactive population (not in the labour force) Sectoral breakdown (Nace Rev. 2) of those in employment Breakdown of headline data by age, sex and region Persons in employment classified by occupation Seasonally adjusted headline series Data on family compositio

    PERCIVAL

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    The PERCIVAL (PERsonality and CIVic engagement across the Adult Lifespan) project was a multi-year panel study funded by the Swiss National Science Foundation and conducted at the University of Zurich. Across five survey waves, researchers collected data to analyze how personality traits correlate with civic engagement behaviors, such as volunteering, voting, and blood donation, across different demographic groups. By tracking individuals over time, the study aimed to identify stable patterns, developmental trends, and changes influenced by life circumstances, aging, and broader sociopolitical shifts. Designed to be nationally representative, PERCIVAL included participants from Switzerland’s three main linguistic regions—German-, French-, and Italian-speaking areas. While prior research suggested that personality traits like extraversion, conscientiousness, and agreeableness promote engagement, most studies relied on cross-sectional or international data. PERCIVAL’s longitudinal design addressed this limitation by providing Swiss-specific insights into short-term variations and long-term trajectories. Beyond personality and civic engagement, PERCIVAL gathered psychological, behavioral, and sociodemographic data. Each wave included well-being and self-esteem measures, while cognitive ability and life events were assessed in two waves. The study also examined personality change goals and self-help literature use, providing insights into individuals’ efforts to shape their own personality development

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