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Research data keyboard_double_arrow_right Dataset 2020Zenodo EC | SYNTHESYS PLUSWalton, Stephanie; Livermore, Laurence; Bánki, Olaf; Cubey, Robert; Drinkwater, Robyn; Englund, Markus; Goble, Carole; Groom, Quentin; Kermorvant, Christopher; Rey, Isabel; Santos, Celia; Scott, Ben; Williams, Alan; Wu, Zhengzhe;Tools and services evaluation speadsheet
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2004 EnglishICPSR - Interuniversity Consortium for Political and Social Research NIH | CENTER FOR LONGITUDINAL A..., NIH | Modeling Longitudinal Dis..., NIH | Core D - Research and Dev...Authors: Manton, Kenneth G.;Manton, Kenneth G.;The National Long-Term Care Survey (NLTCS) has completed six waves, nominally at five-year intervals, 1982, 1984, 1989, 1994, 1999, and 2004. The NLTCS is a nationally-representative sample both of the community and of institutionalized populations and is longitudinal in that sample persons join the survey once they reach 65 years of age and stay in the survey until they either die or are lost to follow-up. At each wave, a screener questionnaire is administered to the sample which divides the sample into three parts: the non-disabled (frequently called screen-outs), the disabled but living in the community, and the disabled living in an institution. About 5,000 people die between waves and are replaced by a sample of about that size of people who have become age 65 since the prior wave. Because of budget considerations it usually has not been possible to continue the entire non-disabled sample into the next wave. Instead a sample of the non-disabled is drawn to keep the total sample size for a wave at about 20,000. One of the interesting and useful features of the NLTCS is that data are collected on help that the sample person receives from informal caregivers. The NLTCS is a very data-rich resource with many components, including disability measures, medical conditions, attained education levels, and income. Numerous papers have used it as a source of data addressing a wide variety of topics related to aging and disability. Ancillary surveys have been added to measure other characteristics of the 65 and older population, to include a Caregiver Survey to acquire data on informal caregivers themselves (done in 1989, 1999, and 2004) and Next-of-Kin (NOK) surveys administered to sample persons who had died between 1982 and 1984 and again between 1994 and 1999. The sample has been frequently supplemented to compensate for low representation in some survey components, in particular the 75 years and older and 95 years and older components. In 1999 physical specimens were drawn from a sample of persons who responded to the survey. These physical specimens (blood where possible, alternatively a buccal wash) are subject to a genetic analysis and, in the case of blood, to a panel of proteins believed to be particularly important to health. NLTCS Survey Data Survey data are available in ASCII and SAS format. The Analytic Data File, a file of derived variables for all waves of the survey incorporates correction factors and consistency checking. The Analytic Data File covers all waves of the survey and is available in both ASCII and SAS formats. Final versions of data for all waves, up to and including 1999 and a beta version for 2004, have been released and are supported by documentation. All documentation files are now publicly available for this study. In addition, the crosswalk which is in an Excel file (.xlsx) for all years is also publicly available.The restricted data files are comprised of zipped packages for each year 1982-2004, analytic, and weights, with accompanying documentation. The National Long-Term Care Survey (NLTCS) was designed to study changes in the health and functional status of older Americans (aged 65+), as well as to track health expenditures, Medicare service use, and the availability of personal, family, and community resources for caregiving. The sample design for the NLTCS can be described as a stratified, two-stage clustered design. Please refer to the report documentation for detailed information. Please refer to the documentation for details about base, cross-sectional, and other weight variables. Datasets: DS0: Study-Level Files DS1: 1982 DS2: 1984 DS3: 1989 DS4: 1994 DS5: 1999 DS6: 2004 Persons aged 65 and older in the United States.
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For further information contact us at helpdesk@openaire.eu2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2020Zenodo EC | SYNTHESYS PLUSWalton, Stephanie; Livermore, Laurence; Bánki, Olaf; Cubey, Robert; Drinkwater, Robyn; Englund, Markus; Goble, Carole; Groom, Quentin; Kermorvant, Christopher; Rey, Isabel; Santos, Celia; Scott, Ben; Williams, Alan; Wu, Zhengzhe;Tools and services evaluation speadsheet
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2659::167171ddeda91698bba630f62fe45191&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
visibility 21visibility views 21 download downloads 9 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______2659::167171ddeda91698bba630f62fe45191&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2004 EnglishICPSR - Interuniversity Consortium for Political and Social Research NIH | CENTER FOR LONGITUDINAL A..., NIH | Modeling Longitudinal Dis..., NIH | Core D - Research and Dev...Authors: Manton, Kenneth G.;Manton, Kenneth G.;The National Long-Term Care Survey (NLTCS) has completed six waves, nominally at five-year intervals, 1982, 1984, 1989, 1994, 1999, and 2004. The NLTCS is a nationally-representative sample both of the community and of institutionalized populations and is longitudinal in that sample persons join the survey once they reach 65 years of age and stay in the survey until they either die or are lost to follow-up. At each wave, a screener questionnaire is administered to the sample which divides the sample into three parts: the non-disabled (frequently called screen-outs), the disabled but living in the community, and the disabled living in an institution. About 5,000 people die between waves and are replaced by a sample of about that size of people who have become age 65 since the prior wave. Because of budget considerations it usually has not been possible to continue the entire non-disabled sample into the next wave. Instead a sample of the non-disabled is drawn to keep the total sample size for a wave at about 20,000. One of the interesting and useful features of the NLTCS is that data are collected on help that the sample person receives from informal caregivers. The NLTCS is a very data-rich resource with many components, including disability measures, medical conditions, attained education levels, and income. Numerous papers have used it as a source of data addressing a wide variety of topics related to aging and disability. Ancillary surveys have been added to measure other characteristics of the 65 and older population, to include a Caregiver Survey to acquire data on informal caregivers themselves (done in 1989, 1999, and 2004) and Next-of-Kin (NOK) surveys administered to sample persons who had died between 1982 and 1984 and again between 1994 and 1999. The sample has been frequently supplemented to compensate for low representation in some survey components, in particular the 75 years and older and 95 years and older components. In 1999 physical specimens were drawn from a sample of persons who responded to the survey. These physical specimens (blood where possible, alternatively a buccal wash) are subject to a genetic analysis and, in the case of blood, to a panel of proteins believed to be particularly important to health. NLTCS Survey Data Survey data are available in ASCII and SAS format. The Analytic Data File, a file of derived variables for all waves of the survey incorporates correction factors and consistency checking. The Analytic Data File covers all waves of the survey and is available in both ASCII and SAS formats. Final versions of data for all waves, up to and including 1999 and a beta version for 2004, have been released and are supported by documentation. All documentation files are now publicly available for this study. In addition, the crosswalk which is in an Excel file (.xlsx) for all years is also publicly available.The restricted data files are comprised of zipped packages for each year 1982-2004, analytic, and weights, with accompanying documentation. The National Long-Term Care Survey (NLTCS) was designed to study changes in the health and functional status of older Americans (aged 65+), as well as to track health expenditures, Medicare service use, and the availability of personal, family, and community resources for caregiving. The sample design for the NLTCS can be described as a stratified, two-stage clustered design. Please refer to the report documentation for detailed information. Please refer to the documentation for details about base, cross-sectional, and other weight variables. Datasets: DS0: Study-Level Files DS1: 1982 DS2: 1984 DS3: 1989 DS4: 1994 DS5: 1999 DS6: 2004 Persons aged 65 and older in the United States.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3886/icpsr09681.v4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3886/icpsr09681.v4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu