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"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.
Experts estimate that nearly 60 percent of all U.S. pregnancies--and 81 percent of pregnancies among adolescents--are unintended. Yet the topic of preventing these unintended pregnancies has long been treated gingerly because of personal sensitivities and public controversies, especially the angry debate over abortion. Additionally, child welfare advocates long have overlooked the connection between pregnancy planning and the improved well-being of families and communities that results when children are wanted. Now, current issues--health care and welfare reform, and the new international focus on population--are drawing attention to the consequences of unintended pregnancy. In this climate The Best Intentions offers a timely exploration of family planning issues from a distinguished panel of experts. This committee sheds much-needed light on the questions and controversies surrounding unintended pregnancy. The book offers specific recommendations to put the United States on par with other developed nations in terms of contraceptive attitudes and policies, and it considers the effectiveness of over 20 pregnancy prevention programs. The Best Intentions explores problematic definitions--"unintended" versus "unwanted" versus "mistimed"--and presents data on pregnancy rates and trends. The book also summarizes the health and social consequences of unintended pregnancies, for both men and women, and for the children they bear. Why does unintended pregnancy occur? In discussions of "reasons behind the rates," the book examines Americans' ambivalence about sexuality and the many other social, cultural, religious, and economic factors that affect our approach to contraception. The committee explores the complicated web of peer pressure, life aspirations, and notions of romance that shape an individual's decisions about sex, contraception, and pregnancy. And the book looks at such practical issues as the attitudes of doctors toward birth control and the place of contraception in both health insurance and "managed care." The Best Intentions offers frank discussion, synthesis of data, and policy recommendations on one of today's most sensitive social topics. This book will be important to policymakers, health and social service personnel, foundation executives, opinion leaders, researchers, and concerned individuals. May