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Natcen Social Research - One of the best experts on this subject based on the ideXlab platform.
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Welsh Health Survey, 2008: Special Licence Access
2016Co-Authors: Natcen Social ResearchAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background to the series The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and the factors that can affect their health. Previously conducted in 1995 and 1998, the current WHS series was commissioned by the Welsh Assembly Government (WAG), and began in 2003-2004. The first two survey years were carried out by a consortium comprising the National Centre for Social Research (now NatCen Social Research), Beaufort Research Limited, and the Department of Epidemiology and Public Health at University College London. From 2005-2006, NatCen Social Research has had sole responsibility for conducting the survey. Note that Special Licence data are currently only available for 2009 onwards, but standard access End User Licence versions are available from the Archive for 1998 and then annually from 2003/04 - see the Welsh Health Survey series webpage. For further details, see documentation. Aims of the WHS: The WHS is designed to:provide estimates of health status, health determinants and health service usecontribute to setting and monitoring targets and indicators in the health strategies and National Service Frameworksexamine differences between population subgroups (such as sex, age, social class) and local areasprovide a direct measurement of need for health care for National Health Service resource allocation in Walesprovide local health board- and local Authority-level information for the development of joint local health, social care and well-being strategiesThe WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 are randomly selected from each household. For further details, see documentation. Differences between the standard access End User Licence version and the Special Licence access version: The standard access End User Licence WHS does not include Unitary Authority, strata and PSU as these variables pose a potential risk of disclosure. These variables are included in the Special Licence access versions from 2003/04 onwards. For further information on how to make an application for the Special Licence data, see the ACCESS section. Further information: Further information, including links to publications, may be found on the Welsh Assembly Government's Welsh Health Survey web pages and the NatCen Social Research Welsh Health Survey webpage.The Welsh Health Survey, 2008: Special Licence Access dataset contains Unitary Authority and PSU/strata variables, as follows: archpsn (Person serial number); archhsn (Household serial number); whsyear (Welsh Health Survey year); psu (Primary sampling unit); upsu (Unique primary sampling unit (survey year plus PSU)); Strata; uaname (Unitary Authority (ONS code)); unitauth (Unitary Authority (geographical order)). The Special Licence variables are designed to be merged with the standard End User Licence version of the Welsh Health Survey data for 2008, held under SN 6372. All standard access variables and a full set of documentation are available under SN 6372.
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Welsh Health Survey, 2007: Special Licence Access
2016Co-Authors: Natcen Social ResearchAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background to the series The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and the factors that can affect their health. Previously conducted in 1995 and 1998, the current WHS series was commissioned by the Welsh Assembly Government (WAG), and began in 2003-2004. The first two survey years were carried out by a consortium comprising the National Centre for Social Research (now NatCen Social Research), Beaufort Research Limited, and the Department of Epidemiology and Public Health at University College London. From 2005-2006, NatCen Social Research has had sole responsibility for conducting the survey. Note that Special Licence data are currently only available for 2009 onwards, but standard access End User Licence versions are available from the Archive for 1998 and then annually from 2003/04 - see the Welsh Health Survey series webpage. For further details, see documentation. Aims of the WHS: The WHS is designed to:provide estimates of health status, health determinants and health service usecontribute to setting and monitoring targets and indicators in the health strategies and National Service Frameworksexamine differences between population subgroups (such as sex, age, social class) and local areasprovide a direct measurement of need for health care for National Health Service resource allocation in Walesprovide local health board- and local Authority-level information for the development of joint local health, social care and well-being strategiesThe WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 are randomly selected from each household. For further details, see documentation. Differences between the standard access End User Licence version and the Special Licence access version: The standard access End User Licence WHS does not include Unitary Authority, strata and PSU as these variables pose a potential risk of disclosure. These variables are included in the Special Licence access versions from 2003/04 onwards. For further information on how to make an application for the Special Licence data, see the ACCESS section. Further information: Further information, including links to publications, may be found on the Welsh Assembly Government's Welsh Health Survey web pages and the NatCen Social Research Welsh Health Survey webpage.The Welsh Health Survey, 2007: Special Licence Access dataset contains Unitary Authority and PSU/strata variables, as follows: archpsn (Person serial number); archhsn (Household serial number); whsyear (Welsh Health Survey year); psu (Primary sampling unit); upsu (Unique primary sampling unit (survey year plus PSU)); Strata; uaname (Unitary Authority (ONS code)); unitauth (Unitary Authority (geographical order)). The Special Licence variables are designed to be merged with the standard End User Licence version of the Welsh Health Survey data for 2007, held under SN 6052. All standard access variables and a full set of documentation are available under SN 6052.
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Welsh Health Survey, 2004-2005: Special Licence Access
2016Co-Authors: Natcen Social ResearchAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background to the series The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and the factors that can affect their health. Previously conducted in 1995 and 1998, the current WHS series was commissioned by the Welsh Assembly Government (WAG), and began in 2003-2004. The first two survey years were carried out by a consortium comprising the National Centre for Social Research (now NatCen Social Research), Beaufort Research Limited, and the Department of Epidemiology and Public Health at University College London. From 2005-2006, NatCen Social Research has had sole responsibility for conducting the survey. Note that Special Licence data are currently only available for 2009 onwards, but standard access End User Licence versions are available from the Archive for 1998 and then annually from 2003/04 - see the Welsh Health Survey series webpage. For further details, see documentation. Aims of the WHS: The WHS is designed to:provide estimates of health status, health determinants and health service usecontribute to setting and monitoring targets and indicators in the health strategies and National Service Frameworksexamine differences between population subgroups (such as sex, age, social class) and local areasprovide a direct measurement of need for health care for National Health Service resource allocation in Walesprovide local health board- and local Authority-level information for the development of joint local health, social care and well-being strategiesThe WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 are randomly selected from each household. For further details, see documentation. Differences between the standard access End User Licence version and the Special Licence access version: The standard access End User Licence WHS does not include Unitary Authority, strata and PSU as these variables pose a potential risk of disclosure. These variables are included in the Special Licence access versions from 2003/04 onwards. For further information on how to make an application for the Special Licence data, see the ACCESS section. Further information: Further information, including links to publications, may be found on the Welsh Assembly Government's Welsh Health Survey web pages and the NatCen Social Research Welsh Health Survey webpage.The Welsh Health Survey, 2004-2005: Special Licence Access dataset contains Unitary Authority and PSU/strata variables, as follows: archpsn (Person serial number); archhsn (Household serial number); whsyear (Welsh Health Survey year); psu (Primary sampling unit); upsu (Unique primary sampling unit (survey year plus PSU)); Strata; uaname (Unitary Authority (ONS code)); unitauth (Unitary Authority (geographical order)). The Special Licence variables are designed to be merged with the standard End User Licence version of the Welsh Health Survey data for that year, held under SN 5693. All standard access variables and a full set of documentation are available under SN 5693.
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Welsh Health Survey, 2003-2004: Special Licence Access
2016Co-Authors: Natcen Social ResearchAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background to the series The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and the factors that can affect their health. Previously conducted in 1995 and 1998, the current WHS series was commissioned by the Welsh Assembly Government (WAG), and began in 2003-2004. The first two survey years were carried out by a consortium comprising the National Centre for Social Research (now NatCen Social Research), Beaufort Research Limited, and the Department of Epidemiology and Public Health at University College London. From 2005-2006, NatCen Social Research has had sole responsibility for conducting the survey. Note that Special Licence data are currently only available for 2009 onwards, but standard access End User Licence versions are available from the Archive for 1998 and then annually from 2003/04 - see the Welsh Health Survey series webpage. For further details, see documentation. Aims of the WHS: The WHS is designed to:provide estimates of health status, health determinants and health service usecontribute to setting and monitoring targets and indicators in the health strategies and National Service Frameworksexamine differences between population subgroups (such as sex, age, social class) and local areasprovide a direct measurement of need for health care for National Health Service resource allocation in Walesprovide local health board- and local Authority-level information for the development of joint local health, social care and well-being strategiesThe WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 are randomly selected from each household. For further details, see documentation. Differences between the standard access End User Licence version and the Special Licence access version: The standard access End User Licence WHS does not include Unitary Authority, strata and PSU as these variables pose a potential risk of disclosure. These variables are included in the Special Licence access versions from 2003/04 onwards. For further information on how to make an application for the Special Licence data, see the ACCESS section. Further information: Further information, including links to publications, may be found on the Welsh Assembly Government's Welsh Health Survey web pages and the NatCen Social Research Welsh Health Survey webpage.The Welsh Health Survey, 2003-2004: Special Licence Access dataset contains Unitary Authority and PSU/strata variables, as follows: archpsn (Person serial number); archhsn (Household serial number); whsyear (Welsh Health Survey year); psu (Primary sampling unit); upsu (Unique primary sampling unit (survey year plus PSU)); Strata; uaname (Unitary Authority (ONS code)); unitauth (Unitary Authority (geographical order)). The Special Licence variables are designed to be merged with the standard End User Licence version of the Welsh Health Survey data for that year, held under SN 5692. All standard access variables and a full set of documentation are available under SN 5692.
University Of London. Institute Of Education. Centre For Longitudinal Studies - One of the best experts on this subject based on the ideXlab platform.
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Millennium Cohort Study: Geographical Identifiers, Fifth Survey, 2011 Census Boundaries: Secure Access
2015Co-Authors: University Of London. Institute Of Education. Centre For Longitudinal StudiesAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background: The MCS is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandThe first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, and the fifth sweep (MCS5) in 2012-2013, when they were eleven years old. End User Licence versions of MCS studies: The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4 and MCS5 are held under UK Data Archive SNs 4683, 5350, 5795, 6411 and 7464, respectively. Sub-sample studies: Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614). Weighting: Users should note that the weighting section in the 'Guide to the Datasets' document recommends analysis in Stata, as SPSS is not currently able to weight the data using the survey design factors. The depositor is working on a solution for SPSS, but this is not yet available. A Stata version of the dataset is available for access by Secure Lab members, alongside the SPSS and tab-delimited versions. MCS web pages: Further information about the MCS can be found on the Centre for Longitudinal Studies web pages. Secure Access datasets: Secure Access versions of the MCS 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 the MCS include:detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries) and SN 7763 (MCS5 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stage 1 held under SN 6862 (England), 7414 (Scotland) and SN 7415 (Wales)linked education administrative dataset for Key Stage 2 for England held under SN 7712 (England)The linked education administrative datasets held under SNs 6862, 7414, 7415 and 7712 may be ordered alongside the MCS detailed geographical identifier files deposited under SNs 7758, 7759, 7760, 7761, 7762 and 7763 only if sufficient justification is provided in the application. The linked education administrative datasets are not available alongside the Hospital of Birth: Special Licence Access dataset under SN 5724. Users are also only allowed one MCS5 Geographical Identifiers Census Boundaries study, either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries). Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS list of datasets web page). Main Topics:The MCS Geographical Identifiers, Firth Survey, 2011 Census Boundaries: Secure Access data include the address at interview linked to:CountryGovernment Office RegionWard 1998Census Statistic WardOutput Area 2011Lower Super Output Area 2011Middle Super Output Area 2011Local Authority District / Unitary Authority 2013Westminster Parliamentary Constituency 2011
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Millennium Cohort Study: Geographical Identifiers, Second Survey: Secure Access
2015Co-Authors: University Of London. Institute Of Education. Centre For Longitudinal StudiesAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background: The MCS is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandThe first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, and the fifth sweep (MCS5) in 2012-2013, when they were eleven years old. End User Licence versions of MCS studies: The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4 and MCS5 are held under UK Data Archive SNs 4683, 5350, 5795, 6411 and 7464, respectively. Sub-sample studies: Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614). Weighting: Users should note that the weighting section in the 'Guide to the Datasets' document recommends analysis in Stata, as SPSS is not currently able to weight the data using the survey design factors. The depositor is working on a solution for SPSS, but this is not yet available. A Stata version of the dataset is available for access by Secure Lab members, alongside the SPSS and tab-delimited versions. MCS web pages: Further information about the MCS can be found on the Centre for Longitudinal Studies web pages. Secure Access datasets: Secure Access versions of the MCS 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 the MCS include:detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries) and SN 7763 (MCS5 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stage 1 held under SN 6862 (England), 7414 (Scotland) and SN 7415 (Wales)linked education administrative dataset for Key Stage 2 for England held under SN 7712 (England)The linked education administrative datasets held under SNs 6862, 7414, 7415 and 7712 may be ordered alongside the MCS detailed geographical identifier files deposited under SNs 7758, 7759, 7760, 7761, 7762 and 7763 only if sufficient justification is provided in the application. The linked education administrative datasets are not available alongside the Hospital of Birth: Special Licence Access dataset under SN 5724. Users are also only allowed one MCS5 Geographical Identifiers Census Boundaries study, either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries). Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS list of datasets web page). Main Topics:The MCS Geographical Identifiers, Second Survey: Secure Access data include the address at interview linked to:CountryGovernment Office RegionWard 1998Census Statistic WardOutput Area 2001Lower Super Output Area 2001Middle Super Output Area 2001Local Authority District / Unitary Authority 2001Westminster Parliamentary Constituency 2001
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Millennium Cohort Study: Geographical Identifiers, Fifth Survey, 2001 Census Boundaries: Secure Access
2015Co-Authors: University Of London. Institute Of Education. Centre For Longitudinal StudiesAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background: The MCS is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandThe first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, and the fifth sweep (MCS5) in 2012-2013, when they were eleven years old. End User Licence versions of MCS studies: The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4 and MCS5 are held under UK Data Archive SNs 4683, 5350, 5795, 6411 and 7464, respectively. Sub-sample studies: Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614). Weighting: Users should note that the weighting section in the 'Guide to the Datasets' document recommends analysis in Stata, as SPSS is not currently able to weight the data using the survey design factors. The depositor is working on a solution for SPSS, but this is not yet available. A Stata version of the dataset is available for access by Secure Lab members, alongside the SPSS and tab-delimited versions. MCS web pages: Further information about the MCS can be found on the Centre for Longitudinal Studies web pages. Secure Access datasets: Secure Access versions of the MCS 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 the MCS include:detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries) and SN 7763 (MCS5 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stage 1 held under SN 6862 (England), 7414 (Scotland) and SN 7415 (Wales)linked education administrative dataset for Key Stage 2 for England held under SN 7712 (England)The linked education administrative datasets held under SNs 6862, 7414, 7415 and 7712 may be ordered alongside the MCS detailed geographical identifier files deposited under SNs 7758, 7759, 7760, 7761, 7762 and 7763 only if sufficient justification is provided in the application. The linked education administrative datasets are not available alongside the Hospital of Birth: Special Licence Access dataset under SN 5724. Users are also only allowed one MCS5 Geographical Identifiers Census Boundaries study, either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries). Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS list of datasets web page). Main Topics:The MCS Geographical Identifiers, Firth Survey, 2001 Census Boundaries: Secure Access data include the address at interview linked to:CountryGovernment Office RegionWard 1998Census Statistic WardOutput Area 2001Lower Super Output Area 2001Middle Super Output Area 2001Local Authority District / Unitary Authority 2001Westminster Parliamentary Constituency 2005
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Millennium Cohort Study: Geographical Identifiers, First Survey: Secure Access
2015Co-Authors: University Of London. Institute Of Education. Centre For Longitudinal StudiesAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background: The MCS is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandThe first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, and the fifth sweep (MCS5) in 2012-2013, when they were eleven years old. End User Licence versions of MCS studies: The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4 and MCS5 are held under UK Data Archive SNs 4683, 5350, 5795, 6411 and 7464, respectively. Sub-sample studies: Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614). Weighting: Users should note that the weighting section in the 'Guide to the Datasets' document recommends analysis in Stata, as SPSS is not currently able to weight the data using the survey design factors. The depositor is working on a solution for SPSS, but this is not yet available. A Stata version of the dataset is available for access by Secure Lab members, alongside the SPSS and tab-delimited versions. MCS web pages: Further information about the MCS can be found on the Centre for Longitudinal Studies web pages. Secure Access datasets: Secure Access versions of the MCS 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 the MCS include:detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries) and SN 7763 (MCS5 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stage 1 held under SN 6862 (England), 7414 (Scotland) and SN 7415 (Wales)linked education administrative dataset for Key Stage 2 for England held under SN 7712 (England)The linked education administrative datasets held under SNs 6862, 7414, 7415 and 7712 may be ordered alongside the MCS detailed geographical identifier files deposited under SNs 7758, 7759, 7760, 7761, 7762 and 7763 only if sufficient justification is provided in the application. The linked education administrative datasets are not available alongside the Hospital of Birth: Special Licence Access dataset under SN 5724. Users are also only allowed one MCS5 Geographical Identifiers Census Boundaries study, either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries). Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS list of datasets web page). Main Topics:The MCS Geographical Identifiers, First Survey: Secure Access data include the address at interview linked to:CountryGovernment Office RegionWard 1998Census Statistic WardOutput Area 2001Lower Super Output Area 2001Middle Super Output Area 2001Local Authority District / Unitary Authority 2001Westminster Parliamentary Constituency 2001
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Millennium Cohort Study: Geographical Identifiers, Fourth Survey: Secure Access
2015Co-Authors: University Of London. Institute Of Education. Centre For Longitudinal StudiesAbstract:Abstract copyright UK Data Service and data collection copyright owner.Background: The MCS is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandThe first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, and the fifth sweep (MCS5) in 2012-2013, when they were eleven years old. End User Licence versions of MCS studies: The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4 and MCS5 are held under UK Data Archive SNs 4683, 5350, 5795, 6411 and 7464, respectively. Sub-sample studies: Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614). Weighting: Users should note that the weighting section in the 'Guide to the Datasets' document recommends analysis in Stata, as SPSS is not currently able to weight the data using the survey design factors. The depositor is working on a solution for SPSS, but this is not yet available. A Stata version of the dataset is available for access by Secure Lab members, alongside the SPSS and tab-delimited versions. MCS web pages: Further information about the MCS can be found on the Centre for Longitudinal Studies web pages. Secure Access datasets: Secure Access versions of the MCS 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 the MCS include:detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries) and SN 7763 (MCS5 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stage 1 held under SN 6862 (England), 7414 (Scotland) and SN 7415 (Wales)linked education administrative dataset for Key Stage 2 for England held under SN 7712 (England)The linked education administrative datasets held under SNs 6862, 7414, 7415 and 7712 may be ordered alongside the MCS detailed geographical identifier files deposited under SNs 7758, 7759, 7760, 7761, 7762 and 7763 only if sufficient justification is provided in the application. The linked education administrative datasets are not available alongside the Hospital of Birth: Special Licence Access dataset under SN 5724. Users are also only allowed one MCS5 Geographical Identifiers Census Boundaries study, either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries). Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS list of datasets web page). Main Topics:The MCS Geographical Identifiers, Fourth Survey: Secure Access data include the address at interview linked to:CountryGovernment Office RegionWard 1998Census Statistic WardOutput Area 2001Lower Super Output Area 2001Middle Super Output Area 2001Local Authority District / Unitary Authority 2001Westminster Parliamentary Constituency 2005
Office For National Statistics. Social Survey Division - One of the best experts on this subject based on the ideXlab platform.
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Quarterly Labour Force Survey, January - March, 2016
2016Co-Authors: Office For National Statistics. Social Survey Division, Northern Ireland Statistics And Research Agency. Central Survey UnitAbstract: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. 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: Special Licence access and Secure Data Service access datasets (see below); household datasets (produced twice a year); two-quarter and five-quarter longitudinal datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets. LFS move from seasonal to calendar quarters In accordance with European Union regulations, the QLFS moved from seasonal (spring, summer, autumn, winter) quarters to calendar quarters (January-March, April-June, July-September, October-December) in 2006. Subsequently, calendar versions of all datasets in the main QLFS series were deposited and the previous seasonal datasets were removed from the Archive's catalogue at the request of ONS. However, some seasonal datasets may still exist for other LFS series, and ONS advise that, because of the method of construction and the weighting factors used in the datasets, comparison cannot be made between datasets of a calendar and seasonal nature. Time series and longitudinal analysis should only be conducted on datasets of the same type. Disability variables from 2013 onwards - LFS and APS ONS have provided some information on changes since 2013 to the disability variables available on the LFS and APS. The Disability Discrimination Act (DDA) disabled (current disability) category within the historic DISCURR variable no longer corresponds with the advised legal definition of 'current disability'. DISCURR should only be available on LFS microdata from Spring 1998 to January-March 2013 (JM13); beyond that point users should ignore or delete it. In addition, the same 'DDA disabled (current disability)' category within variable DISCURR13 is also not the most appropriate variable to use because a) it is not comparable to the corresponding category in variable DISCURR due to question changes, and b) it no longer measures either the DDA definition of disability or the latest Equality Act definition of disability. However, DISCURR13 is available from the April-March 2013 quarter (AJ13) onwards and was introduced to demonstrate that the variables used to compile DISCURR had also changed from that quarter. Therefore, users are advised to use the disability variable DISEA from AJ13 onwards, which reflects the Equality Act 2010 legal definition of 'disabled', measured according to the GSS Harmonised Standard on health conditions and illnesses. The harmonised disability variables DISEA and DISCURR13 should both be present on the APS person microdata from April 2013-March 2014 (A13M14) onwards. This ensures that APS users have a complete 12 months' data on which to base analysis of the variables. DISCURR should only be present on APS microdata up to and including April 2012-March 2013 (A12M13). Reducing disclosure risk in the QLFS 1. Special Licence QLFS data: From July-September 2001, a Special Licence (SL) version of the QLFS data is also available in addition to the version made available under the standard End User Licence (EUL). The SL version contains extra variables, and therefore is subject to more restrictive access conditions. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the extra variables, in order to get permission to use that version (see 'Access' section below). Therefore, most users should order the standard version of the data. In order to help users choose the correct dataset, 'Special Licence Access' has been added to the dataset titles for the SL versions of the data. Typically, the extra non-EUL variables that can be found in the SL data, are: month and year of birth (variables dobm and doby); Nomenclature of Units for Territorial Statistics Level 2 (NUTS2 - county-level); 4-digit Standard Occupational Classification (SOC) for occupation in apprenticeship, last job, second job and job made redundant from (soc2kap, soc2kl, soc2kr and soc2ks); Unitary Authority/local Authority for place of residence and place of work (ua/la); urban/rural indicator (urind). Data for households of size 10 or above, which are excluded from the standard EUL data, can also be found in the SL data. With the introduction of SL data, some variables were correspondingly removed from the EUL datasets for 2001 onwards, including dobm, doby, nuts2, soc2kap, soc2kl, soc2kr and soc2ks. Users should note that these variables may still be referenced in the user guides without reference to restricted availability. 2. Secure Access QLFS data More detailed QLFS datasets than the SL versions are also available, via the UK Data Service Secure Access system. These datasets include further additional, detailed variables not included in either the EUL or SL versions. They are subject to further access restrictions (see the Secure Lab webpages for details). 3. Changes to QLFS identifier variables: Changes designed to improve confidentiality have been made to the identifier variables supplied with the main QLFS datasets from January-March 2011 onwards. Pseudonymised variables Casenop, Hserialp and Quotap are now included. 4. Further changes made to EUL data: Disclosure control decisions made at the ONS requires consideration of the sample being less than 1% of the population). Accordingly, the following changes were introduced for EUL datasets in 2014/15 (and may affect back-series datasets from 2001 onwards): Occupation (SOC10M) and industry (INDC07M) of main job remain available at 4-digit level, but Industry of second job (INDC07S) and last job (INDC07L) have been reduced to 3-digit level. The variable GOVTOR (Government Office Region, with 20 response options) has been dropped, and GOVTOF2 (12-region level) has been retained. Region of last job (GORWKR and GORWKR2, covering 12 regions plus 'outside UK') has been retained. The variable ADD has been dropped (this also affects datasets from 2001 onwards). Users whose research is affected by these changes may need to use other variables or consider making an application for Special Licence data, where the more detailed variables have been retained. The Special Licence (SL) version of the QLFS January - March, 2016 is held under SN 7986. For the second edition (July 2016), the Casenop and Hserialp variables were replaced to correct errors in the previous version. Main Topics:The QLFS questionnaire comprises a 'core' of questions which are included in every survey, together with some 'non-core' questions which vary from quarter to quarter. The questionnaire can be split into two main parts. The first part contains questions on the respondent's household, family structure, basic housing information and demographic details of household members. The second part contains questions covering economic activity, education and health, and also may include a few questions asked on behalf of other government departments (for example the Department for Work and Pensions and the Home Office). Until 1997, the questions on health covered mainly problems which affected the respondent's work. From that quarter onwards, the questions cover all health problems. Detailed questions on income have also been included in each quarter since 1993. The basic questionnaire is revised each year, and a new version published, along with a transitional version that details changes from the previous year's questionnaire
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Annual Population Survey: Subjective Well-Being, April 2012 - March 2013
2013Co-Authors: Office For National Statistics. Social Survey DivisionAbstract:Abstract copyright UK Data Service and data collection copyright owner.The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at local Authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS) (held at the UK Data Archive under GN 33246), all its associated LFS boosts and the APS boost. Thus, the APS combines results from five different sources: the LFS (waves 1 and 5); the English Local Labour Force Survey (LLFS), the Welsh Labour Force Survey (WLFS), the Scottish Labour Force Survey (SLFS) and the Annual Population Survey Boost Sample (APS(B) - however, this ceased to exist at the end of December 2005, so APS data from January 2006 onwards will contain all the above data apart from APS(B)). Users should note that the LLFS, WLFS, SLFS and APS(B) are not held separately at the Archive. For further detailed information about methodology, users should consult the Labour Force Survey User Guide, selected volumes of which have been included with the APS documentation for reference purposes (see 'Documentation' table below). 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 such as the WLFS and SLFS, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom. End User Licence and Special Licence APS data Users 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 Special Licence (SL) version. The SL version contains more detailed variables relating to:age: including 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 childfamily 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 familynationality and country of origingeography: 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 districthealth: including main health problem, and current and past health problemseducation and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeshipsindustry: including industry, industry class and industry group for main, second and last job, and industry made redundant fromoccupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant fromsystem variables: including week number when interview took place and number of households at addressThe EUL version contains less detailed variables. For example, the lowest geography is Government Office Region, only banded age is available, only 3-digit SOC is available for main, second and last job, and only industry sector for main, second and last job. Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for the research requirements. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. Therefore, users are strongly advised to order the standard version of the data. In order to help users choose the correct dataset, 'Special Licence Access' has been added to the dataset titles for the SL versions of the data. Documentation and coding frames The APS is compiled from variables present in the LFS. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation (e.g. coding frames for education, industrial and geographic variables, which are held in LFS User Guide Vol.5, Classifications), users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages. APS Well-Being Datasets From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the 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. Users should no longer use the bespoke well-being datasets (SNs 6994, 6999, 7091, 7092, 7364, 7365, 7565 and 7566, but should now use the variables included on the April-March APS person datasets instead. Further information on the transition can be found on the Personal well-being in the UK: 2015 to 2016 Disability variables from 2013 onwards - LFS and APS ONS have provided some information on changes since 2013 to the disability variables available on the LFS and APS. The Disability Discrimination Act (DDA) disabled (current disability) category within the historic DISCURR variable no longer corresponds with the advised legal definition of 'current disability'. DISCURR should only be available on LFS microdata from Spring 1998 to January-March 2013 (JM13); beyond that point users should ignore or delete it. In addition, the same 'DDA disabled (current disability)' category within variable DISCURR13 is also not the most appropriate variable to use because a) it is not comparable to the corresponding category in variable DISCURR due to question changes, and b) it no longer measures either the DDA definition of disability or the latest Equality Act definition of disability. However, DISCURR13 is available from the April-March 2013 quarter (AJ13) onwards and was introduced to demonstrate that the variables used to compile DISCURR had also changed from that quarter. Therefore, users are advised to use the disability variable DISEA from AJ13 onwards, which reflects the Equality Act 2010 legal definition of 'disabled', measured according to the GSS Harmonised Standard on health conditions and illnesses. The harmonised disability variables DISEA and DISCURR13 should both be present on the APS person microdata from April 2013-March 2014 (A13M14) onwards. This ensures that APS users have a complete 12 months' data on which to base analysis of the variables. DISCURR should only be present on APS microdata up to and including April 2012-March 2013 (A12M13). The SL access version of the APS April 2012 - March 2013 Subjective Well-Being dataset is held under SN 7365. For the third edition (September 2014) a new version of the case number was added to the data file, 'Case_New'. The new case number has been calculated as described in the Personal Well-being Survey User Guide to incorporate an anonymised household identifier and the original HHld and Person variables to allow household level analysis to be completed. Removing the final four digits of the new anonymised case number will reveal the anonymised household identifier. At present, the previous case number, now renamed 'Case_Old' also remains in the file. 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.
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Annual Population Survey: Subjective Well-Being, April 2011 - March 2012
2012Co-Authors: Office For National Statistics. Social Survey DivisionAbstract:Abstract copyright UK Data Service and data collection copyright owner.The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at local Authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS) (held at the UK Data Archive under GN 33246), all its associated LFS boosts and the APS boost. Thus, the APS combines results from five different sources: the LFS (waves 1 and 5); the English Local Labour Force Survey (LLFS), the Welsh Labour Force Survey (WLFS), the Scottish Labour Force Survey (SLFS) and the Annual Population Survey Boost Sample (APS(B) - however, this ceased to exist at the end of December 2005, so APS data from January 2006 onwards will contain all the above data apart from APS(B)). Users should note that the LLFS, WLFS, SLFS and APS(B) are not held separately at the Archive. For further detailed information about methodology, users should consult the Labour Force Survey User Guide, selected volumes of which have been included with the APS documentation for reference purposes (see 'Documentation' table below). 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 such as the WLFS and SLFS, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom. End User Licence and Special Licence APS data Users 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 Special Licence (SL) version. The SL version contains more detailed variables relating to:age: including 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 childfamily 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 familynationality and country of origingeography: 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 districthealth: including main health problem, and current and past health problemseducation and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeshipsindustry: including industry, industry class and industry group for main, second and last job, and industry made redundant fromoccupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant fromsystem variables: including week number when interview took place and number of households at addressThe EUL version contains less detailed variables. For example, the lowest geography is Government Office Region, only banded age is available, only 3-digit SOC is available for main, second and last job, and only industry sector for main, second and last job. Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for the research requirements. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. Therefore, users are strongly advised to order the standard version of the data. In order to help users choose the correct dataset, 'Special Licence Access' has been added to the dataset titles for the SL versions of the data. Documentation and coding frames The APS is compiled from variables present in the LFS. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation (e.g. coding frames for education, industrial and geographic variables, which are held in LFS User Guide Vol.5, Classifications), users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages. APS Well-Being Datasets From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the 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. Users should no longer use the bespoke well-being datasets (SNs 6994, 6999, 7091, 7092, 7364, 7365, 7565 and 7566, but should now use the variables included on the April-March APS person datasets instead. Further information on the transition can be found on the Personal well-being in the UK: 2015 to 2016 Disability variables from 2013 onwards - LFS and APS ONS have provided some information on changes since 2013 to the disability variables available on the LFS and APS. The Disability Discrimination Act (DDA) disabled (current disability) category within the historic DISCURR variable no longer corresponds with the advised legal definition of 'current disability'. DISCURR should only be available on LFS microdata from Spring 1998 to January-March 2013 (JM13); beyond that point users should ignore or delete it. In addition, the same 'DDA disabled (current disability)' category within variable DISCURR13 is also not the most appropriate variable to use because a) it is not comparable to the corresponding category in variable DISCURR due to question changes, and b) it no longer measures either the DDA definition of disability or the latest Equality Act definition of disability. However, DISCURR13 is available from the April-March 2013 quarter (AJ13) onwards and was introduced to demonstrate that the variables used to compile DISCURR had also changed from that quarter. Therefore, users are advised to use the disability variable DISEA from AJ13 onwards, which reflects the Equality Act 2010 legal definition of 'disabled', measured according to the GSS Harmonised Standard on health conditions and illnesses. The harmonised disability variables DISEA and DISCURR13 should both be present on the APS person microdata from April 2013-March 2014 (A13M14) onwards. This ensures that APS users have a complete 12 months' data on which to base analysis of the variables. DISCURR should only be present on APS microdata up to and including April 2012-March 2013 (A12M13). The SL access version of the APS April 2011 - March 2012 Subjective Well-Being dataset is held under SN 7092. For the second edition (September 2014) a new version of the case number was added to the data file, 'Case_New'. The new case number has been calculated as described in the Personal Well-being Survey User Guide to incorporate an anonymised household identifier and the original HHld and Person variables to allow household level analysis to be completed. Removing the final four digits of the new anonymised case number will reveal the anonymised household identifier. At present, the previous case number, now renamed 'Case_Old' also remains in the file. 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.
Frank David John Dunstan - One of the best experts on this subject based on the ideXlab platform.
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socioeconomic patterning of excess alcohol consumption and binge drinking a cross sectional study of multilevel associations with neighbourhood deprivation
BMJ Open, 2013Co-Authors: David Lawrence Fone, Daniel Farewell, James White, Ronan A Lyons, Frank David John DunstanAbstract:Objectives: The influence of neighbourhood deprivation on the risk of harmful alcohol consumption, measured by the separate categories of excess consumption and binge drinking, has not been studied. The study objective was to investigate the effect of neighbourhood deprivation with age, gender and socioeconomic status (SES) on (1) excess alcohol consumption and (2) binge drinking, in a representative population survey. Design: Cross-sectional study: multilevel analysis. Setting: Wales, UK, adult population ∼2.2 million. Participants: 58 282 respondents aged 18 years and over to four successive annual Welsh Health Surveys (2003/2004–2007), nested within 32 692 households, 1839 census lower super output areas and the 22 Unitary Authority areas in Wales. Primary outcome measure: Maximal daily alcohol consumption during the past week was categorised using the UK Department of Health definition of 'none/never drinks', 'within guidelines', 'excess consumption but less than binge' and 'binge'. The data were analysed using continuation ratio ordinal multilevel models with multiple imputation for missing covariates. Results: Respondents in the most deprived neighbourhoods were more likely to binge drink than in the least deprived (adjusted estimates: 17.5% vs 10.6%; difference=6.9%, 95% CI 6.0 to 7.8), but were less likely to report excess consumption (17.6% vs 21.3%; difference=3.7%, 95% CI 2.6 to 4.8). The effect of deprivation varied significantly with age and gender, but not with SES. Younger men in deprived neighbourhoods were most likely to binge drink. Men aged 35–64 showed the steepest increase in binge drinking in deprived neighbourhoods, but men aged 18–24 showed a smaller increase with deprivation. Conclusions: This large-scale population study is the first to show that neighbourhood deprivation acts differentially on the risk of binge drinking between men and women at different age groups. Understanding the socioeconomic patterns of harmful alcohol consumption is important for public health policy development.
David Lawrence Fone - One of the best experts on this subject based on the ideXlab platform.
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socioeconomic patterning of excess alcohol consumption and binge drinking a cross sectional study of multilevel associations with neighbourhood deprivation
BMJ Open, 2013Co-Authors: David Lawrence Fone, Daniel Farewell, James White, Ronan A Lyons, Frank David John DunstanAbstract:Objectives: The influence of neighbourhood deprivation on the risk of harmful alcohol consumption, measured by the separate categories of excess consumption and binge drinking, has not been studied. The study objective was to investigate the effect of neighbourhood deprivation with age, gender and socioeconomic status (SES) on (1) excess alcohol consumption and (2) binge drinking, in a representative population survey. Design: Cross-sectional study: multilevel analysis. Setting: Wales, UK, adult population ∼2.2 million. Participants: 58 282 respondents aged 18 years and over to four successive annual Welsh Health Surveys (2003/2004–2007), nested within 32 692 households, 1839 census lower super output areas and the 22 Unitary Authority areas in Wales. Primary outcome measure: Maximal daily alcohol consumption during the past week was categorised using the UK Department of Health definition of 'none/never drinks', 'within guidelines', 'excess consumption but less than binge' and 'binge'. The data were analysed using continuation ratio ordinal multilevel models with multiple imputation for missing covariates. Results: Respondents in the most deprived neighbourhoods were more likely to binge drink than in the least deprived (adjusted estimates: 17.5% vs 10.6%; difference=6.9%, 95% CI 6.0 to 7.8), but were less likely to report excess consumption (17.6% vs 21.3%; difference=3.7%, 95% CI 2.6 to 4.8). The effect of deprivation varied significantly with age and gender, but not with SES. Younger men in deprived neighbourhoods were most likely to binge drink. Men aged 35–64 showed the steepest increase in binge drinking in deprived neighbourhoods, but men aged 18–24 showed a smaller increase with deprivation. Conclusions: This large-scale population study is the first to show that neighbourhood deprivation acts differentially on the risk of binge drinking between men and women at different age groups. Understanding the socioeconomic patterns of harmful alcohol consumption is important for public health policy development.
