Public Use Data File Documentation 2006-2010 National Survey of Family Growth PDF Download
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Author: Centers for Disease Control and Prevention
Publisher: CreateSpace
ISBN: 9781493610099
Category : Health & Fitness
Languages : en
Pages : 76
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Book Description
2010NSFGThe National Survey of Family Growth (NSFG) is designed and administered by the National Center for Health Statistics (NCHS), an agency of the US Department of Health and Human Services, in collaboration with several other federal agencies (see Acknowledgments). The NSFG has been conducted 7 times since 1973.
Author: Centers for Disease Control and Prevention
Publisher: CreateSpace
ISBN: 9781493610099
Category : Health & Fitness
Languages : en
Pages : 76
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Book Description
2010NSFGThe National Survey of Family Growth (NSFG) is designed and administered by the National Center for Health Statistics (NCHS), an agency of the US Department of Health and Human Services, in collaboration with several other federal agencies (see Acknowledgments). The NSFG has been conducted 7 times since 1973.
Author:
Publisher:
ISBN:
Category : Families
Languages : en
Pages : 44
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Book Description
"Objective: The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of women and men 15-44 years of age in the United States. This report describes the sample design for the NSFG's new continuous design and the effects of that design on weighting and variance estimation procedures. A working knowledge of this information is important for researchers who wish to use the data. Two data files are being released the first covering 2.5 years (30 months) of data collection and the second after all data have been collected. This report is being released with the first data file. A later report in this Series will include specific results of the weighting, imputation, and variance estimation. Methods: The NSFG's new design is based on an independent, national probability sample of women and men 15-44 years of age. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with the National Center for Health Statistics (NCHS). In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers. Results: Analysis of NSFG data requires the use of sampling weights and estimation of sampling errors that account for the complex sample design and estimation features of the survey. Sampling weights are provided on the data files. The rate of missing data in the survey is generally low. However, missing data were imputed for about 600 key variables (called 'recodes') that are used for most analyses of the survey. Imputation was accomplished using a multiple regression procedure with software called IVEware, available from the University of Michigan website."--Page 1.
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ISBN:
Category : Families
Languages : en
Pages : 0
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Book Description
"Objective The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of women and men 15-44 years of age in the United States. This report describes the sample design for the NSFG's new continuous design and the effects of that design on weighting and variance estimation procedures. A working knowledge of this information is important for researchers who wish to use the data. Two data files are being released the first covering 2.5 years (30 months) of data collection and the second after all data have been collected. This report is being released with the first data file. A later report in this Series will include specific results of the weighting, imputation, and variance estimation. Methods The NSFG's new design is based on an independent, national probability sample of women and men 15-44 years of age. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with the National Center for Health Statistics (NCHS). In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers. Results Analysis of NSFG data requires the use of sampling weights and estimation of sampling errors that account for the complex sample design and estimation features of the survey. Sampling weights are provided on the data files. The rate of missing data in the survey is generally low. However, missing data were imputed for about 600 key variables (called 'recodes') that are used for most analyses of the survey. Imputation was accomplished using a multiple regression procedure with software called IVEware, available from the University of Michigan website."--Page 1.
Author: National Center for Health Statistics (U.S.)
Publisher:
ISBN:
Category : Contraception
Languages : en
Pages : 603
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Book Description
Author:
Publisher:
ISBN:
Category : Families
Languages : en
Pages : 4
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Book Description
Author:
Publisher:
ISBN:
Category : Families
Languages : en
Pages : 36
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Book Description
"Objective The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of women and men 15-44 years of age in the United States. This report describes the sample design for the NSFG's new continuous design and the effects of that design on weighting and variance estimation procedures. A working knowledge of this information is important for researchers who wish to use the data. Two data files are being released the first covering 2.5 years (30 months) of data collection and the second after all data have been collected. This report is being released with the first data file. A later report in this Series will include specific results of the weighting, imputation, and variance estimation. Methods The NSFG's new design is based on an independent, national probability sample of women and men 15-44 years of age. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with the National Center for Health Statistics (NCHS). In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers. Results Analysis of NSFG data requires the use of sampling weights and estimation of sampling errors that account for the complex sample design and estimation features of the survey. Sampling weights are provided on the data files. The rate of missing data in the survey is generally low. However, missing data were imputed for about 600 key variables (called 'recodes') that are used for most analyses of the survey. Imputation was accomplished using a multiple regression procedure with software called IVEware, available from the University of Michigan website."--Page 1.
Author:
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ISBN:
Category : United States
Languages : en
Pages : 36
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Book Description
Author:
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ISBN:
Category : Analysis of variance
Languages : en
Pages : 56
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Book Description
Author:
Publisher:
ISBN:
Category : Health surveys
Languages : en
Pages : 276
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Book Description
Author: Mary Ann Davis
Publisher: Springer Science & Business Media
ISBN: 9048189721
Category : Social Science
Languages : en
Pages : 227
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Book Description
Do adoptions provide children for families or families for children? This book analyzes the complex interactions between adopters and adoptees using historical and current data. Who are the preferred parents and children, both domestically and internationally? How do the types of adoptions-domestic adoptions, private and public through the foster care system, and intercountry adoptions-differ? Domestic trends include a shift to open adoptions and a notable increase in "hard to place", foster care adoptions-typically older, siblings, minorities, with physical, educational, or emotional challenges. Adoptive parents are increasingly all ages (including grandparents); all types of marriages (single, married and same-sex couples); all income levels, with subsidized adoptions for children who would otherwise remain in foster or institutional care. Intercountry adoptions have followed waves, pushed by wars and political or economic crises in the sending country, and pulled by the increasing demand from the U. S. Currently there is a decrease in intercountry adoptions from Asia and Eastern Europe with a possible fifth wave from Africa with the greatest number from Ethiopia. This is a resource for family sociologists, demographers, social workers, advocates for children and adoptive parents, as well as those who are interested in the continuing research in adoptions.
