10259 research outputs found
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Extending Active Life for Older People with Cognitive Impairment and their Families through Innovation in the Visitor Economy of the Natural Environment, 2021-2024
No full textAbstract copyright UK Data Service and data collection copyright owner.ENLIVEN (Extending Active Life for Older People with Cognitive Impairment and their Families through Innovation in the Visitor Economy of the Natural Environment) was a three-year project aiming to make the well-being benefits of nature-based outdoor pursuits more accessible to people living with cognitive impairment (PLWCI) such as dementia. Stakeholder engagement with small businesses, community interest groups/supporter organisations, and people living with cognitive impairment in the community was conducted throughout the project. ENLIVEN comprised four workstreams (WS): WS1, scoping existing provision, accessibility, and preferences of people living with cognitive impairment for nature-based pursuits; WS2, developing new nature-based initiatives for people living with cognitive impairment; WS3, evaluating these initiatives which were either ‘one off’ events or a series; and WS4, knowledge exchange and disseminating learning to businesses. Deposited data is for WS1 and WS3.
For WS1, scoping existing provision, accessibility, and preferences of people living with cognitive impairment for nature-based pursuits, 40 qualitative interviews were conducted with businesses, 4 with supporter organisations, 15 with PLWCI, and 15 with family members/carers. For people living with cognitive impairment and their family members, the interview schedule included questions regarding activity preferences (prompted by photographs of nature-based pursuits), accessibility and how this could be improved.
For WS3, evaluating the nature-based outdoor pursuits developed during the project, 30 qualitative interviews were conducted with business programme leads including follow up interviews during and after scheduled events. 19 facilitators of individual sessions such as arts educators were also interviewed. 48 qualitative interviews were conducted with PLWCI, all with dementia, or with family members/carers. 6 focus groups were conducted for 2 projects. 12 group organisers who had taken an existing group to take part in an outdoor activity such as from a charity working with older people were also interviewed. Interviews focused on the nature-based visitor experience and evaluating if and how businesses had become more dementia-aware.Main Topics:The main topics of the ENLIVEN project were improving accessibility to the visitor economy and nature-based outdoor pursuits for people living with cognitive impairment.</p
Further Education Workforce Census in England, 2021-2024: Secure Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The Further Education Workforce Census in England, 2021-2024: Secure Access includes annual statistics on the further education (FE) workforce in England. The information in this release is based on data collected in the Further Education Workforce Data Collection (FEWDC) and covers the 2021 to 2024 academic year.The study is split into three datasets:
FE workforce: Contract and role details for staff members working in further education providers. Each row of data gives all details on a single member of staff.FE vacancies: Teacher vacancies and leader/manager vacancies in further education providers.FE college governors: Demographics of governors at General Further Education Colleges and sixth form colleges.Three datasets are available for each academic year.Main Topics:The study includes data on the following areas:
size and characteristics of the FE workforce in Englandyearly Full-Time Equivalent (FTE) pay of the FE workforceteaching and management/leadership vacancies in the FE workforcesize and characteristics of the governing body in FE colleges in England.</ul
English Longitudinal Study of Ageing: Waves 4-10, 2008-2023: Local Authority District Post-2009 Boundaries (Recoded): Secure Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The English Longitudinal Study of Ageing (ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main objectives of ELSA are to:construct waves of accessible and well-documented panel data;provide these data in a convenient and timely fashion to the scientific and policy research community;describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over;examine the relationship between economic position and health;investigate the determinants of economic position in older age;describe the timing of retirement and post-retirement labour market activity; andunderstand the relationships between social support, household structure and the transfer of assets.Further information may be found on the the ELSA project website or the Natcen Social Research: ELSA web pages.Health conditions research with ELSA - June 2021
The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact [email protected] for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease).Secure Access Data:Secure Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access' section below).Secure Access versions of ELSA include:Primary Data from Wave 8 onwards (SN 8444) includes all the variables in the SL primary dataset (SN 8346) as well as day of birth, combined SIC 2003 code (5 digit), combined SOC 2000 code (4 digit), NS-SEC long version including and excluding unclassifiable and non-workers.Pension Age Data from Wave 8 onwards (SN 8445) includes all the variables in the SL pension age data (SN 8375) as well as year reached pension age variable.Detailed geographical identifier files for each wave, grouped by identifier held under SN 8423 (Index of Multiple Deprivation Score), SN 8424 (Local Authority District Pre-2009 Boundaries), SN 8438 (Local Authority District Post-2009 Boundaries), SN 8425 (Census 2001 Lower Layer Super Output Areas), SN 8434 (Census 2011 Lower Layer Super Output Areas), SN 8426(Census 2001 Middle Layer Super Output Areas), SN 8435 (Census 2011 Middle Layer Super Output Areas), SN 8427 (Population Density for Postcode Sectors), SN 8428 (Census 2001 Rural-Urban Indicators), SN 8436 (Census 2011 Rural-Urban Indicators), SN 9496 (Local Authority District Pre-2009 Boundaries Recoded), SN 9497 (Local Authority District Post-2009 Boundaries Recoded).Where boundary changes have occurred, the geographic identifier has been split into two separate studies to reduce the risk of disclosure. Users are also only allowed one version of each identifier:either SN 8424 (Local Authority District Pre-2009 Boundaries) or SN 8438 (Local Authority District Post-2009 Boundaries)either SN 8425 (Census 2001 Lower Layer Super Output Areas) or SN 8434 (Census 2011 Lower Layer Super Output Areas)either SN 8426 (Census 2001 Middle Layer Super Output Areas) or SN 8435 (Census 2011 Middle Layer Super Output Areas)either SN 8428 (Census 2001 Rural-Urban Indicators) or SN 8436 (Census 2011 Rural-Urban Indicators)either SN 9496 (Local Authority District Pre-2009 Boundaries Recoded) or SN 9497 (Local Authority District Post-2009 Boundaries Recoded)English Longitudinal Study of Ageing: Waves 4-10, 2008-2023: Local Authority District Post-2009 Boundaries (Recoded): Secure AccessThis dataset contains a post-2009 boundary Local Authority District variable which has been recoded to 150 categories for disclosure control from Wave 4 of ELSA to date, and a unique individual serial number variable is also included for matching to the main data files. These data have more restrictive access conditions than those available under Safeguarded access. These data were previously available under Special Licence from decatalogued SN 8439.Main Topics:This dataset contains a pre-2009 boundary Local Authority Type variable for each Wave of ELSA to date, as well as a unique individual serial number variable for matching to the main data files.A full version of the post-2009 boundary Local Authority District variable is available under Secure Access from SN 8438. Please see the data dictionary, available as part of the documentation, for details of the coding.</div
English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority District Pre-2009 Boundaries (Recoded): Secure Access
No full textAbstract copyright UK Data Service and data collection copyright owner.The English Longitudinal Study of Ageing (ELSA) study is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main objectives of ELSA are to:
construct waves of accessible and well-documented panel data;
provide these data in a convenient and timely fashion to the scientific and policy research community;
describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over;
examine the relationship between economic position and health;
nvestigate the determinants of economic position in older age;
describe the timing of retirement and post-retirement labour market activity; and
understand the relationships between social support, household structure and the transfer of assets.
Further information may be found on the the ELSA project website or the Natcen Social Research: ELSA web pages.
Health conditions research with ELSA - June 2021
The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please contact the ELSA Data team at NatCen on [email protected] for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease).
Special Licence Data:
Special Licence Access versions of ELSA have more restrictive access conditions than versions available under the standard End User Licence (see 'Access' section below). Users are advised to obtain the latest edition of SN 5050 (the End User Licence version) before making an application for Special Licence data, to see whether that is suitable for their needs. A separate application must be made for each Special Licence study. Special Licence Access versions of ELSA include:
Primary data from Wave 8 onwards (SN 8346) includes all the variables in the EUL primary dataset (SN 5050) as well as year and month of birth, consolidated ethnicity and country of birth, marital status, and more detailed medical history variables.
Wave 8 Pension Age Data (SN 8375) includes all the variables in the EUL pension age data (SN 5050) as well as year and age reached state pension age variables.
Wave 8 Sexual Self-Completion Data (SN 8376) includes sensitive variables from the sexual self-completion questionnaire.
Wave 3 (2007) Harmonized Life History (SN 8831) includes retrospective information on previous histories, specifically, detailed data on previous partnership, children, residential, health, and work histories.
Detailed geographical identifier files for Waves 1-10 which are grouped by identifier held under SN 8430 (Local Authority Type Pre-2009 Boundaries), SN 8441 (Local Authority Type Post-2009 Boundaries), SN 8431 (Quintile Index of Multiple Deprivation Score), SN 8432 (Quintile Population Density for Postcode Sectors), SN 8433 (Census 2001 Rural-Urban Indicators), SN 8437 (Census 2011 Rural-Urban Indicators).
Where boundary changes have occurred, the geographic identifier has been split into two separate studies to reduce the risk of disclosure. Users are also only allowed one version of each identifier:
either SN 8430 (Local Authority Type Pre-2009 Boundaries) or SN 8441(Local Authority Type Post-2009 Boundaries)
either SN 8433 (Census 2001 Rural-Urban Indicators) or SN 8437 (Census 2011 Rural-Urban Indicators)
ELSA Wave 6 and Wave 8 Self-Completion Questionnaires included an open-ended question where respondents could add any other comments they may wish to note down. These responses have been transcribed and anonymised. Researchers can request access to these transcribed responses for research purposes by contacting the ELSA Data Team at NatCen.English Longitudinal Study of Ageing: Waves 1-10, 2002-2023: Local Authority District Pre-2009 Boundaries (Recoded): Secure Access
This dataset contains a pre-2009 boundary Local Authority District variable which has been recoded to 150 categories for disclosure control for each Wave of ELSA to date, and a unique individual serial number variable is also included for matching to the main data files. These data have more restrictive access conditions than those available under the standard Safeguarded access. These data were previously available under Special Licence from decatalogued SN 8429.Main Topics:This dataset contains a pre-2009 boundary Local Authority District variable which has been recoded to 150 categories for disclosure control for each Wave of ELSA to date, as well as a unique individual serial number variable for matching to the main data files.
A full version of the pre-2009 boundary Local Authority District variable is available under Secure Access from SN 8424. Please see the data dictionary, available as part of the documentation, for details of the coding.</div
Understanding Individual Variation in Empathy and Empathy Enhancement, 2022-2023
No full textPrevious work has shown that enhancing self-other control (our ability to differentiate and focus on our own and others' experiences) through behavioural training shows promise in improving empathy. Prior work in this domain has focussed on questionnaire and sensorimotor-based (viewing physically painful images) measures of empathy. We know less about the potential for self-other training to benefit empathy when seeing emotive stories or whether specific individuals are more susceptible to empathy-enhancement procedures than others. Here, multiple datasets were collected: 1) the development of a new empathy task that involved the collection of emotive stories from participants who rated their own emotions when sharing the stories and completed measures of psychological traits (e.g., personality, trait emotional intelligence) via online testing - data was collected from both those who gave emotive stories and observers who rated affect in the stimuli, 2) behavioural investigations (online and in-person experimental sessions) of how self-other training impacted empathy performance on the newly developed emotional story based empathy task, 3) investigation of how individual differences in psychological traits (e.g., alexithymia, trait emotional intelligence) contributed to differences in the outcomes of self-other training on empathic performance (online testing), and 4) neuroscience investigation to determine how stimulating a region of the brain thought to contribute self-other processing (the right temporo-parietal junction) impacted empathy task performance when combined with self-other training (in person experimental sessions). Participants across all studies were recruited via opportunistic sampling methods (either through academic institutions or online platforms) with an age range of 18-65 years old. Key findings include that self-other control training can modulate performance on emotional story-based empathy tasks, that the benefits of self-other control on empathy may relate to a decrease in experiencing personal distress, and that individual differences in aspects of alexithymia contribute to outcomes of self-other training on empathy performance.During our daily social interactions, observing others' experiences (e.g. emotion, sensation) can induce a similar experience of our own. When the experience we feel matches that of the person we are interacting with (e.g. feeling sad because you see your friend is sad), we are said to be empathising with them. Building a scientific understanding of how we empathise with others is extremely important, as empathy plays a key role in supporting social relationships that are important for health and well-being.
We now know that we empathise with others in various ways. Recent research results have shown that our ability to mentally distinguish between and focus on the experiences of ourselves and others - our 'self-other control' - plays a key role in engaging the psychological systems that allow us to experience empathy. Moreover, it has been shown that it is possible to improve self-other control using behavioural training and that in doing so, we can enhance the ability to empathise with others. These findings indicate that self-other control modulation may be a promising tool to support empathy skills, which offers the potential for developing intervention approaches in groups where improving empathy would be useful.
This project aimed to address many open questions regarding how our self-other control mediates our ability to empathise with others. In particular, Can we train individuals' self-other control to enhance their performance across various empathy measures (including questionnaires and behavioural tests)? Will certain types of individuals be more susceptible to empathy-enhancement procedures than others? Can we stimulate certain parts of the brain to boost empathy?</p
Afterlives of Urban Muslim Asia: Muslim Perspectives on Non-Muslim Minorities in Aleppo, and Life Histories of Aleppine Armenians in Kuwait, 2022-2024
No full textPredominantly Muslim urban centres in Asia – such as Aleppo, Herat, Kabul and Bukhara – have historically been home to sizeable communities of ethno-religious minorities, including Jews, Christians, Sikhs and Hindus. Yet it is widely accepted that conflict and large-scale migrations over the past century, of minorities and Muslims, has led to 'decosmopolitisation'. Scholarship on the migrant communities that identify with these cities tends to reinforce this perception of decosmopolitisation.
The hypothesis of this research project is that interreligious relations actually persist, but often unrecognised, in older and newer diasporic contexts, and in appeals to a shared urban heritage. This comparative research programme analyses the ways in which both everyday living and projects of the imagination invoke urban imaginaries, and the extent to which these transcend (or reinforce) religious, sectarian, national and ethnic boundaries. Its empirical focus is on the experiences of ethno-religious minorities and the extent to which legacies of cosmopolitan urban life remain a vital aspect of the cities' Muslim populations.
This data collection relates to the Aleppo strand of the project. Questionnaires in Arabic were distributed electronically to Muslim residents and former residents of popular / working-class (sha‘bi) quarters of Aleppo through an Arab Muslim former resident of the Hilluk district of Aleppo who had migrated to Gaziantep during the Syrian civil war (2012-). Life history interviews were also conducted with prominent Aleppine Armenian members of the Armenian community in Kuwait: the priest of the Armenian church in Aleppo, and two leading Syrian Armenian merchants who run successful businesses in Kuwait and play a prominent role in the Armenian community there.Afterlives will research the persistence or avoidance of interreligious relations between Muslims and non-Muslims and the modes by which these elicit or invoke shared urban sensibilities. We will conduct ethnographic fieldwork amongst migrant minority and Muslim communities in London, New York, Vienna, Jerusalem, Istanbul and Vienna and in 3 of the 4 selected cities. The project will document the vitality of legacies of cosmopolitan urban living and the role in these of diasporic communities, and analyse in Muslim Asia how projects of heritage reproduce social boundaries (e.g. between diasporic and settled communities, and urban and non-urban/ not fully urban citizens). Doing so will develop a new and different approach to interreligious relationships that illuminates the importance of shared attachment to urban centres, and enables greater sensitivity in future interventions in the field of tangible and intangible heritage preservation and restoration.
First, the project will generate empirical data on the temporal and geographic dispersal of the cities under-study. We will map flows of people through space and time by conducting textual, archival and visual research in countries of origin and sites of migration.
Second, Afterlives will investigate how projects of imagination relating to historic centres are produced and sustained, and explore how they point to diversity in Muslim Asia's cultural imaginaries. To do so we will investigate emergent configurations of culture, history, identity and geography in Muslim Asia by exploring the significance of relationships and exchanges between Muslim and ethno-religious minorities to imagination in the region today. We will: interview key actors in the production of imaginaries, focusing especially on cultural elites (intellectuals, musicians, artists, poets, politicians and activists); record the genres (visual, literary, musical, culinary) where such imaginations are generated and sustained and explore ethnographically the sites (digital, political, scholarly, and social) in which they are performed and consumed; explore the implications of architectural reconstruction on such imaginaries by visiting key sites, and interview relevant heritage specialists, local and national policy-makers, pilgrims/tourists, and custodians; trace the use in projects of imagination of knowledge about tangible and intangible heritage preservation.
Third, given declining levels of religious diversity in urban centres, it is oft assumed that Silk Road-era commercial relationships between Muslim and non-Muslim merchants are no longer of relevance. Yet our recent fieldwork suggests otherwise: Muslim and Sikh traders from Afghanistan interacted from the 1980s onwards in London and Moscow, for example. To explore such interreligious commercial relationships we will carry out in-depth ethnographic work with diasporic merchants in key trading sites - markets, shops and warehouses - and explore documentary and archival material in the form of autobiographies of merchants and company records.
Fourth, to research the 'doing' of connectivity, and the role played by tacit modes of acting across lines of difference in sustaining cultural and religious sensibilities of urban living, we will focus on specific practices, rituals, and expressions of sociality in diaspora communities. We will ask if gender, migration histories, generation, and class position influence the distribution of this skill, exploring the role it has played in facilitating and constraining legacies of collective urban living in diasporas.
Beyond our partners, we will share findings with organisations that implement heritage projects (e.g. Aga Khan Foundation, UNESCO, UN Habitat, and Ministry of Culture, Afghanistan), that manage diaspora-homeland relations (e.g. Ministry of Foreign Affairs, Afghanistan;) that work on regional conflicts (e.g. Foreign and Commonwealth Office); also with the communities under study and broader publics.</p
Anti-Fracking Protest Events in England, 2011-2019
No full textThis data contains information about the number of ‘conventional’ and ‘non-conventional’ protest events during the anti-fracking campaigns in England, by year and county. Years cover the campaign period from its beginning in 2011 until the nationwide moratorium announced by the UK Government in 2019, with protest events from October 2011 until March 2019 captured. The counties represent three different contexts in which community-based mobilisation against fracking was seen; namely, Lancashire alongside North and South Yorkshire. Numerous other variables are provided, including socio-economic, political (voting) and industry-specific data. UK-level data is also included and the variables represent a mix of data forms.
The data provides an important window into the English anti-fracking campaigns that were community-led, inclusive of surrounding contextual factors. It is of interest for studies of this timeframe, industry and mobilisation both as a stand-alone dataset and for complementary use alongside other datasets. The dataset lends itself to comparative analyses at the intersection between local socio-political and economic contexts, and community-based anti-fracking mobilisation.
For this new version the dataset has been updated with additional variables that record population statistics by year for age and gender, as well as political party vote share in local and national elections
Gender and Adolescence: Global Evidence: Jordan UNICEF Cash Plus Baseline, 2021-2022
No full textAbstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. SN 9344 - Gender and Adolescence: Global Evidence: Jordan UNICEF Cash Plus Baseline, 2021-2022In Jordan, GAGE initially recruited a sample of 4,095 adolescent girls and boys in two separate cohorts (younger adolescents aged 10-12 years and older adolescents age 15-17 years) during 2018 and 2019. This sample includes Syrian refugees living in refugee camps, informal tented settlements (ITS) and host communities, as well as Palestinian refugees living in refugee camps and host communities, vulnerable Jordanian adolescents living in communities hosting refugees, and a small group of adolescents of other nationalities living in Jordan.
In collaboration with UNICEF, a new sample of 1,681 adolescents ages 10-18 years were recruited in 2021 as part of an evaluation of new UNICEF programming consisting of providing tablets (Treatment A) or tablets and cash (Treatment B) to existing participants in Makani, a type of youth centre. The sample includes Jordanians and Syrians at 19 Treatment A Makani centres and at 13 Treatment B centres. The Baseline UNICEF sample was followed-up in 2022-2023.
This study contains Baseline individual-level data collected in 2018-2019. The Endline survey data is available from SN 9445.Main Topics:Youth; adolescence; gender; longitudinal impact evaluation of youth programming.</p
General Prison Registers for Two Irish Prisons, 1840-1910
No full textThe dataset provides detailed, standardised records of prisoners, including demographic, physical, and judicial information such as age, height, offence, birthplace, residence, occupation, religion, and literacy.
The dataset offers a comprehensive resource for studying social, economic, demographic, and anthropometric history of Ireland under British rule. Prisoners' names are anonymised to comply with data-sharing agreements. Recidivists are only included in this dataset the first time they are entered into the prison register.
Year of conviction ranges from 1858 to 1910, and the year of birth is from 1840 to 1859. The average age of the prison population is 34, and ages range from 16 to 70.
Data are described in more detail in E. McLaughlin, C. L. Colvin and M. Blum, 'Anthropometric History: Revisiting What’s in it for Ireland', Irish Economic and Social History (2021).
Occupations are classified into five categories using the Armstrong scale: W. A. Armstrong, ‘The use of information about occupation, part I: a basis for social stratification’, in E. A. Wrigley (ed.), Nineteenth-century society: essays in the use of quantitative methods for the study of social data (Cambridge, 1972).
Famine-era mortality is appended to this dataset, denoting excess mortality in a prisoner's county of birth during the Great Irish Famine. This is calculated by comparing the 1841 and 1851 censuses, as calculated by Joel Mokyr, Why Ireland starved (2nd ed., London, 1985).This project presents a hand-collected dataset of over 18,620 individuals incarcerated in Kilmainham Gaol (1837–1910) or Clonmel Gaol (1848–1929), derived from surviving General Prison Registers for these two prisons held at the National Archives of Ireland in Dublin (NAI/Pris1/3 and NAI/Pris1/33).</p
Participation Survey, 2023-2024
No full textAbstract copyright UK Data Service and data collection copyright owner.The Participation Survey is a continuous push-to-web survey of adults aged 16 and over in England. It serves as a successor to the Taking Part survey, which ran for 16 years as a continuous face to face survey. Paper surveys are available for those not digitally engaged. Fieldwork started in October 2021 and it is envisaged that the survey will be a key evidence source for Department for Digital, Culture, Media and Sport (DCMS) and its sectors by providing statistically representative national estimates of adult engagement with the DCMS sectors. The survey’s main objectives are to:
Provide a central, reliable evidence source that can be used to analyse cultural, digital, and sporting engagement, providing a clear picture of why people do or do not engage.
Provide data at a county level to meet user needs, including providing evidence for the levelling up agenda.
Underpin further research on driving engagement and the value and benefits of engagement.Further information on the survey can be found on the gov.uk Participation Survey webpage.The Participation survey is a continuous push to web survey of adults aged 16 and over in England. There are paper surveys available for those not digitally engaged. Fieldwork started in October 2021 and will be a main evidence source for DCMS/ACE and its sectors by providing statistically representative national estimates of adult engagement with the DCMS/ACE sectors. The survey’s main objectives are to:
- Provide a central, reliable evidence source that can be used to analyse cultural, digital, and sporting engagement, providing a clear picture of why people do or do not engage.
- Provide data at a county level to meet user needs, including providing evidence for the leveling up agenda.
- Underpin further research on driving engagement and the value and benefits of engagement.
For 2023-2024 annual data the fieldwork period was from 9th May 2023 - 4th April 2024. Participants in the survey are randomly selected from addresses from the Post Office’s list of addresses in England. This ensures results reflect the experiences and views of the whole population.
Further information on the survey can be found on
https://www.gov.uk/guidance/participation-surveyMain Topics:The Participation Survey collects data on engagement in:
the arts
libraries
heritage
museums and galleries
tourism
major cultural events
major sporting events
sport
gambling
digital sectors
The survey includes information on frequency of participation, reasons for participating, barriers to participation and attitudes to the sectors.
Information is also gathered on demographics (e.g. age, education), and related areas including wellbeing, loneliness, and use of digital technology.</p