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A follow-up Randomised Controlled Trial evaluation of the effects of the "Time to Read" mentoring programme (Business in the Community), 2009-2010
No full textThe BITC2 dataset outlines the findings from a follow-up randomised controlled trial (RCT) evaluation of the Business in the Community's 'Time to Read' porogramme. The trial was undertaken between October 2009 and June 2010 and was a follow-up to a previous RCT conducted between 2006-2008. The second trial took on board recommendations that emerged during the first trial regarding the need to focus on more specific outcomes relating to literacy outcomes. Five hundred and twelve children aged between 8 and 9 years old form fifty schools across Norther Ireland took part; two hundred and sixty three were in the intervention group and two hundred and forty nine were in the control group. Both literacy and non-literacy outcomes were measured. Literacy skills measured included: decoding, reading rate, reading accuracy, reading fluency and comprehension. Educational aspirations were also measured as a non-literacy outcome
Survey of Lifestyle, Attitudes and Nutrition (SLÁN), 2002
No full textThe national health and lifestyle survey, SLÁN, was first undertaken in 1998 and repeated again in the summer of 2002. The work was commissioned by the Health Promotion Unit of the Department of Health & Children and carried out at the Centre for Health Promotion Studies at NUI Galway and at the Department of Public Health Medicine and Epidemiology, University College Dublin (now UCD School of Public Health, Physiotherapy and Population Science). The main aims of these surveys are to: Produce reliable data of a nationally representative cross-section of the Irish population in order to inform the Department of Health and Children's policy and programme planning; Maintain a survey protocol which will enable lifestyle factors to be re-measured so that trends can be identified and changes monitored to assist national and regional setting of priorities in health promotion activities. As in 1998, a representative cross-section of the Irish adult population was surveyed, with a sample powerful enough at a National level, to detect differences according to socio-economic status in key variables: smoking, exercise and percentage caloric intake from fat. Allowances were made for non-response and likelihood of ineligibility to participate. The sample was generated randomly from the Irish electoral register supplied by Precision Marketing Information (PMI) Ltd., a subsidiary of An Post
European Union Survey of Income and Living Conditions (EU-SILC), 2008
No full textThe Survey on Income and Living Conditions (SILC) in Ireland is a household survey covering a broad range of issues in relation to income and living conditions. It is the official source of data on household and individual income and also provides a number of key national poverty indicators, such as the ‘at risk of poverty’ rate, the consistent poverty rate and rates of enforced deprivation. The primary focus of the Survey on Income and Living Conditions (SILC) is the collection of information on the income and living conditions of different types of households in Ireland, in order to derive indicators on poverty, deprivation and social exclusion. It is a voluntary survey of private households. The SILC Anonymised Microdata File (AMF) contains both personal and household level data. Household data is at present duplicated for each member of the household. If performing household level analysis, please be aware of this and subset the data to include a single entry per household (interview_hh = 1). Please note: In 2020 AMF was revised to be more in line with the SILC RMF. Variables were renamed in accordance with Eurostats Doc65, which provides methodological guidelines and description of EU-SILC target variables. The target variables within the AMF are data on household and individual income as well as a number of key national poverty indicators, therefore variables identified as being not relevant to SILC were removed from the AMF. Furthermore, additional statistical disclosure controls were also implemented in the revisions so as to adhere to updates of the Legislation, Governance & Data Policies of the CSO. Please note: SILC AMF data is cross-sectional microdata in which household and/or individuals cannot be tracked over time. The household id variables in each cross sectional file are randomly generated and cannot be linked between yearly datasets
Dataset: Experimental Study on Effects of Anti-Gender Communication and Counter Strategies
No full textThis deliverable provides access to the dataset generated for Work Package 6 of the PushBackLash project. WP6 experimentally tests the causal effects of anti-gender discourses on citizens and explores strategies that counteract these effects. The dataset includes responses from survey experiments conducted in Italy, Poland, and Hungary. The experiments test exposure to anti-gender messages and the effectiveness of counterstrategies (e.g., humor, fairness, empathy, essentialism-challenging, and consensus-based responses) in mitigating their impact. The data was collected by YouGov.This deliverable provides access to the dataset generated for Work Package 6 of the PushBackLash project. WP6 experimentally tests the causal effects of anti-gender discourses on citizens and explores strategies that counteract these effects. The dataset includes responses from survey experiments conducted in Italy, Poland, and Hungary. The experiments test exposure to anti-gender messages and the effectiveness of counterstrategies (e.g., humor, fairness, empathy, essentialism-challenging, and consensus-based responses) in mitigating their impact. The data was collected by YouGov
Code/Syntax: Socio-Economic Status, Comparisons of Subjective Affectedness and Life Satisfaction During the COVID-19 Pandemic in Germany
No full textSyntax files to replicate the analyses in the paper "Socio‑economic status, comparisons of subjective affectedness and life satisfaction during the COVID‑19 pandemic in Germany" (https://doi.org/10.1007/s11205-025-03000-1) using the SOECBIAS-COVREF data: Beblo, Miriam, Jäger, Julian, Lohmann, Henning, Sattler-Bublitz, Elisabeth, & Wang, Hequn (2024). SOECBIAS-COVREF Data Set. GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772 as well as NUTS-3 level data on COVID-19 cases and deaths by the Robert Koch Institute (https://www.arcgis.com/home/item.html?id=f10774f1c63e40168479a1feb6c7ca74, last accessed: 13.01.2023) and on short-time work by the Federal Employment Agency (https://statistik.arbeitsagentur.de/SiteGlobals/Forms/Suche/Einzelheftsuche_Formular.html?topic_f=kurzarbeit-endg, last accessed: 05.01.2024). Abstract: This paper examines the role of social comparisons in evaluating the consequences of the COVID-19 pandemic in Germany between 2020 and 2022. Our approach drew on previous research concerning economic inequalities and reference groups, engaging with the broader literature on comparisons and subjective well-being. We hypothesized that individuals’ evaluations of their personal economic affectedness—what we term “subjective affectedness”—would be influenced not only by objective factors such as employment and income changes but also by their socioeconomic status at the onset of the pandemic. We primarily investigated how individuals evaluate their subjective affectedness in relation to others and how these evaluations varied according to their initial socioeconomic status. Additionally, we analyzed whether these comparisons influenced subjective well-being, specifically life satisfaction, during the pandemic. Our results show that individuals generally viewed themselves as economically less affected than others, including their immediate social circle, other people in Germany, and especially others in the EU. However, lower-status groups perceived both themselves and others as more affected and were more likely to assess themselves as more affected than others—even in the absence of objective factors such as job or income loss. Our findings suggest that individuals rely on personal reference groups, which leads to biased evaluations of others. Those who evaluated themselves as more affected than others also reported lower life satisfaction. Overall, our findings indicate that socioeconomic status played a crucial role in shaping evaluations and social comparisons during the pandemic.Syntax files to replicate the analyses in the paper "Socio‑economic status, comparisons of subjective affectedness and life satisfaction during the COVID‑19 pandemic in Germany" (https://doi.org/10.1007/s11205-025-03000-1) using the SOECBIAS-COVREF data: Beblo, Miriam, Jäger, Julian, Lohmann, Henning, Sattler-Bublitz, Elisabeth, & Wang, Hequn (2024). SOECBIAS-COVREF Data Set. GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772 as well as NUTS-3 level data on COVID-19 cases and deaths by the Robert Koch Institute (https://www.arcgis.com/home/item.html?id=f10774f1c63e40168479a1feb6c7ca74, last accessed: 13.01.2023) and on short-time work by the Federal Employment Agency (https://statistik.arbeitsagentur.de/SiteGlobals/Forms/Suche/Einzelheftsuche_Formular.html?topic_f=kurzarbeit-endg, last accessed: 05.01.2024). Abstract: This paper examines the role of social comparisons in evaluating the consequences of the COVID-19 pandemic in Germany between 2020 and 2022. Our approach drew on previous research concerning economic inequalities and reference groups, engaging with the broader literature on comparisons and subjective well-being. We hypothesized that individuals’ evaluations of their personal economic affectedness—what we term “subjective affectedness”—would be influenced not only by objective factors such as employment and income changes but also by their socioeconomic status at the onset of the pandemic. We primarily investigated how individuals evaluate their subjective affectedness in relation to others and how these evaluations varied according to their initial socioeconomic status. Additionally, we analyzed whether these comparisons influenced subjective well-being, specifically life satisfaction, during the pandemic. Our results show that individuals generally viewed themselves as economically less affected than others, including their immediate social circle, other people in Germany, and especially others in the EU. However, lower-status groups perceived both themselves and others as more affected and were more likely to assess themselves as more affected than others—even in the absence of objective factors such as job or income loss. Our findings suggest that individuals rely on personal reference groups, which leads to biased evaluations of others. Those who evaluated themselves as more affected than others also reported lower life satisfaction. Overall, our findings indicate that socioeconomic status played a crucial role in shaping evaluations and social comparisons during the pandemic
Zukunfts- und Berufspläne vor dem Abitur (ZuBAb)
No full textDeutsch: Die Studie „Zukunfts- und Berufspläne vor dem Abitur“ (ZuBAb) setzt es sich zum Ziel, einen umfangreichen Eindruck von den nachschulischen Zukunftsplänen heutiger Oberstufenschüler:innen zu gewinnen und Erkenntnisse darüber zu erlangen, wie die Verwirklichung dieser Pläne zusätzlich unterstützt werden kann. Im Panel-Design (sechs Erhebungswellen) wird beobachtet, wie sich die Pläne und Bildungsverläufe der Befragten entwickeln. Neben allgemeinen bildungssoziologischen Fragen wird die Wirkung des Beratungsprogramms Talentscouting NRW untersucht, das an einigen der an der ZuBAb-Studie teilnehmenden Schulen angeboten wird. English: The study “Future and Career plans before high school graduation” (Zukunfts- und Berufspläne vor dem Abitur (ZuBAb)) aims to capture the plans for post-school educational and professional careers of today's high school students and to gain insights about how the realization of these plans can be additionally supported. A panel survey (six waves in six years) assesses how respondents’ educational pathways and plans change over time. Besides addressing general questions in the field of sociology of education, the study evaluates the impact of the guidance-counselling program Talentscouting NRW, which is offered at some schools participating in the ZuBAb-study.Deutsch: Die Studie „Zukunfts- und Berufspläne vor dem Abitur“ (ZuBAb) setzt es sich zum Ziel, einen umfangreichen Eindruck von den nachschulischen Zukunftsplänen heutiger Oberstufenschüler:innen zu gewinnen und Erkenntnisse darüber zu erlangen, wie die Verwirklichung dieser Pläne zusätzlich unterstützt werden kann. Im Panel-Design (sechs Erhebungswellen) wird beobachtet, wie sich die Pläne und Bildungsverläufe der Befragten entwickeln. Neben allgemeinen bildungssoziologischen Fragen wird die Wirkung des Beratungsprogramms Talentscouting NRW untersucht, das an einigen der an der ZuBAb-Studie teilnehmenden Schulen angeboten wird. English: The study “Future and Career plans before high school graduation” (Zukunfts- und Berufspläne vor dem Abitur (ZuBAb)) aims to capture the plans for post-school educational and professional careers of today's high school students and to gain insights about how the realization of these plans can be additionally supported. A panel survey (six waves in six years) assesses how respondents’ educational pathways and plans change over time. Besides addressing general questions in the field of sociology of education, the study evaluates the impact of the guidance-counselling program Talentscouting NRW, which is offered at some schools participating in the ZuBAb-study
Betriebe und berufliche Arbeitswelten in Deutschland
No full textDie Studie „Betriebe und berufliche Arbeitswelten in Deutschland“ (SOEP-LEE2-Compare) wird gemeinsam vom Sozio-oekonomischen Panel am DIW Berlin (SOEP) und dem IPA Institut für Personal und Arbeit (IPA) der Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg (HSU) durchgeführt. Die Studie ist eingebunden in das SOEP-LEE2 Projekt, das zum Ziel hat, die Rolle von Digitalisierung, Fachkräftemangel und betrieblichen Herausforderungen für die Organisation, das Personalmanagement und die betriebliche Weiterbildung zu erforschen. Das Projekt stützt sich dabei auf betriebliche Primärdaten, wovon SOEP-LEE2-Compare einen wichtigen Teil bildet. SOEP-LEE2-Compare umfasst vier Wellen von Betriebsbefragungen, die im Zeitraum 2022 bis 2026 durchgeführt werden. Zentral sind dabei Fragen zur Personalpolitik und den Arbeitsbeziehungen. Im Mittelpunkt stehen die längerfristigen Veränderungen der Arbeitsbeziehungen im Kontext der fortlaufenden Digitalisierung. Ein Schwerpunkt der ersten Erhebungswelle sind u.a. auch die Folgen der Corona-Krisenerfahrungen für Personalmanagement und -führung.Die Studie „Betriebe und berufliche Arbeitswelten in Deutschland“ (SOEP-LEE2-Compare) wird gemeinsam vom Sozio-oekonomischen Panel am DIW Berlin (SOEP) und dem IPA Institut für Personal und Arbeit (IPA) der Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg (HSU) durchgeführt. Die Studie ist eingebunden in das SOEP-LEE2 Projekt, das zum Ziel hat, die Rolle von Digitalisierung, Fachkräftemangel und betrieblichen Herausforderungen für die Organisation, das Personalmanagement und die betriebliche Weiterbildung zu erforschen. Das Projekt stützt sich dabei auf betriebliche Primärdaten, wovon SOEP-LEE2-Compare einen wichtigen Teil bildet. SOEP-LEE2-Compare umfasst vier Wellen von Betriebsbefragungen, die im Zeitraum 2022 bis 2026 durchgeführt werden. Zentral sind dabei Fragen zur Personalpolitik und den Arbeitsbeziehungen. Im Mittelpunkt stehen die längerfristigen Veränderungen der Arbeitsbeziehungen im Kontext der fortlaufenden Digitalisierung. Ein Schwerpunkt der ersten Erhebungswelle sind u.a. auch die Folgen der Corona-Krisenerfahrungen für Personalmanagement und -führung
Gender biases in assessing applicants for assistant professorships in Germany: A factorial survey experiment
No full textHigher education institutions have implemented various affirmative action policies aimed at increasing the representation of female professors, including measures to reduce gender bias in professorship appointments. This raises the question of whether nowadays biases against women are expressed, suppressed, or even reversed in the evaluation of applicants for professorships. Research on gender bias in assistant professor appointments is very sparse and inconsistent. This factorial survey experiment with German university professors from different disciplines (mathematics, physics, economics, sociology, political science, and German studies) addresses this research gap. To simulate the situation of hiring prospective faculty by incumbent faculty, we addressed assistant, associate, and full professors who are all eligible to serve in appointment committees in Germany. The respondents evaluated short descriptions of hypothetical applicants for assistant professorships on a scale from 1 (lowest) to 7 (highest) on two aspects: “perceived qualification” (i.e., whether they consider the applicant to be qualified for an assistant professorship) and “invitation propensity” (i.e., how likely they would invite the applicant to a job interview). Respondents evaluated the applicants’ profiles relative to their own disciplines. To avoid social desirability, we combine a between-subject design for applicant’s gender and a within-subject design for all other profile dimensions.Higher education institutions have implemented various affirmative action policies aimed at increasing the representation of female professors, including measures to reduce gender bias in professorship appointments. This raises the question of whether nowadays biases against women are expressed, suppressed, or even reversed in the evaluation of applicants for professorships. Research on gender bias in assistant professor appointments is very sparse and inconsistent. This factorial survey experiment with German university professors from different disciplines (mathematics, physics, economics, sociology, political science, and German studies) addresses this research gap. To simulate the situation of hiring prospective faculty by incumbent faculty, we addressed assistant, associate, and full professors who are all eligible to serve in appointment committees in Germany. The respondents evaluated short descriptions of hypothetical applicants for assistant professorships on a scale from 1 (lowest) to 7 (highest) on two aspects: “perceived qualification” (i.e., whether they consider the applicant to be qualified for an assistant professorship) and “invitation propensity” (i.e., how likely they would invite the applicant to a job interview). Respondents evaluated the applicants’ profiles relative to their own disciplines. To avoid social desirability, we combine a between-subject design for applicant’s gender and a within-subject design for all other profile dimensions
Attitudes Towards Migration - Casestudy Linz 2016/17 (SUF edition)
No full textThis study explores public perceptions of contemporary social, political, and economic transformations and aims to understand how individuals experience and evaluate these processes. To capture these perspectives, short structured interviews were conducted with pedestrians in Linz, Austria. The survey was administered by sociology and social science students at Johannes Kepler University Linz as part of a research practicum. The study provides insights into how people in a mid-sized European city perceive and interpret ongoing societal changes
Quarterly National Household Survey (QNHS) Module on Health, Q3 2001
No full textThe Quarterly National Household Survey (QNHS) began in September 1997 and ran until Q2 2017 when it was replaced by the Labour Force Survey (LFS). While the main purpose of the QNHS was the production of quarterly labour force estimates, the QHNS also conducted special modules on different social topics each quarter. This special module on Health was run in the third quarter 2001. The module was commissioned by a specially created Health Liaison group. This liaison group comprises of experts in several fields of medical research. The Dept. of Health and the ESRI are also represented on this group. The module has been developped to collect information on: Prevalence of specific health conditions; Length of time on medical waiting lists; Type of health cover; Please note that due to CSO restrictions, these files cannot be matched to their associated microdata files