The National Survey of Family Growth (NSFG) gathers information on family life, marriage and divorce, pregnancy, infertility, use of contraception, and men's and women's health. The survey results are used by the U.S. Department of Health and Human Services and others to plan health services and health education programs, and to do statistical studies of families, fertility, and health. Years included: 1973, 1976, 1982, 1988, 1995, 2002, 2006-2010; Data use agreement at time of file download:

Cycle VI of the National Survey of Family Growth (NSFG) was conducted in 2002 by the National Center for Health Statistics (NCHS), with the participation and funding support of nine other programs of the United States Department of Health and Human Services. Consistent with previous cycles, Cycle VI contains interviews conducted with females 15-44 years of age. A female pregnancy file was also compiled, consisting of one record per pregnancy for all female respondents having experienced pregnancy. New to Cycle 6 is the introduction of the interviewing of males aged 15-44. The male questionnaire averaged about 60 minutes in length, while the female interview averaged about 80 minutes. For most of the survey a Computer-Assisted Personal Interviewing (CAPI) technique was used in which the interviewer entered the respondents' answers into a laptop computer. For the last section of the interview, the survey participants entered their own answers into the computer using a technique called Audio Computer-Assisted Self-Interviewing (Audio CASI). The interviews included questions on schooling, family background, marriage and divorce, having and raising children (including contraceptive use, pregnancy outcomes and "wantedness" of pregnancies, infertility and infertility services, family planning services, sterilizing operations, adoption, and medical care), sex education, first sexual intercourse, sexually transmitted diseases, AIDS, religion, race/ethnicity, employment/occupation, income, and insurance.

The National Survey of Family Growth (NSFG) is designed and administered by the National Center for Health Statistics (NCHS), an agency with the U.S. Department of Health and Human Services' Centers for Disease Control and Prevention (DHHS/CDC). Since the NSFG began in 1973, there have been nine data release files. The purpose of the survey is to produce reliable national estimates of: - Factors affecting pregnancy, including sexual activity, contraceptive use, and infertility; - The medical care associated with contraception, infertility, and childbirth; - Factors affecting marriage, divorce, cohabitation, and adoption; - Adoption and caring for nonbiological children - Father involvement behaviors, and - Men's and women's attitudes about sex, childbearing, and marriage. The survey contains key religion variables that may relate to these topics. The survey results are used by the U.S. Department of Health and Human Services and other research and policy organizations to plan health services and health education programs, and to do statistical studies on the topics listed above. ("https://www.cdc.gov/nchs/data/nsfg/nsfg_2013_2015_userguide_maintext.pdf#page=6" Target="_blank">NSFG 2013-2015 User's Guide: Main Text) Each wave of the NSFG survey contains a Female Respondent Survey, Male Respondent Survey, and a Pregnancy Survey. This is the Pregnancy Survey.

The National Survey of Family Growth (NSFG) gathers information on pregnancies and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. Public-use files include a female respondent, male respondent, and female pregnancy file.

The National Survey of Family Growth (NSFG) is designed and administered by the National Center for Health Statistics (NCHS), an agency with the U.S. Department of Health and Human Services' Centers for Disease Control and Prevention (DHHS/CDC). Since the NSFG began in 1973, there have been nine data release files. The purpose of the survey is to produce reliable national estimates of: - Factors affecting pregnancy, including sexual activity, contraceptive use, and infertility; - The medical care associated with contraception, infertility, and childbirth; - Factors affecting marriage, divorce, cohabitation, and adoption; - Adoption and caring for nonbiological children - Father involvement behaviors, and - Men's and women's attitudes about sex, childbearing, and marriage. The survey contains key religion variables that may relate to these topics. The survey results are used by the U.S. Department of Health and Human Services and other research and policy organizations to plan health services and health education programs, and to do statistical studies on the topics listed above. ("https://www.cdc.gov/nchs/data/nsfg/nsfg_2013_2015_userguide_maintext.pdf#page=6" Target="_blank">NSFG 2013-2015 User's Guide: Main Text) Each wave of the NSFG survey contains a Female Respondent Survey, Male Respondent Survey, and a Pregnancy Survey. This is the Female Respondent Survey.

The National Survey of Family Growth (NSFG) is designed and administered by the National Center for Health Statistics (NCHS), an agency with the U.S. Department of Health and Human Services' Centers for Disease Control and Prevention (DHHS/CDC). Since the NSFG began in 1973, there have been nine data release files. The purpose of the survey is to produce reliable national estimates of: - Factors affecting pregnancy, including sexual activity, contraceptive use, and infertility; - The medical care associated with contraception, infertility, and childbirth; - Factors affecting marriage, divorce, cohabitation, and adoption; - Adoption and caring for nonbiological children - Father involvement behaviors, and - Men's and women's attitudes about sex, childbearing, and marriage. The survey contains key religion variables that may relate to these topics. The survey results are used by the U.S. Department of Health and Human Services and other research and policy organizations to plan health services and health education programs, and to do statistical studies on the topics listed above. ("https://www.cdc.gov/nchs/data/nsfg/nsfg_2013_2015_userguide_maintext.pdf#page=6" Target="_blank">NSFG 2013-2015 User's Guide: Main Text) Each wave of the NSFG survey contains a Female Respondent Survey, Male Respondent Survey, and a Pregnancy Survey. This is the Male Respondent Survey.

The National Survey of Family Growth (NSFG) gathers information on pregnancies and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. Restricted-use files include contextual data, restricted-use analytic variables, paradata, and interviewer observation data. Geographic information can be used to link NSFG to external data files. Estimates cannot be made for specific geographic areas. Contents of restricted-use files varies over time.

The National Survey of Family Growth (NSFG) Cycle IV interviews covered respondents' pregnancy histories, past and current use of contraception, ability to bear children, use of medical services for family planning, infertility, and prenatal care, marital histories, and associated cohabiting unions. Data on occupation and labor force participation and on a wide range of social, economic, and demographic characteristics are also presented. Cycle IV added questions about AIDS and cohabitation and asked detailed questions on adoption and sexually transmitted diseases.

This data collection provides information on fertility, family formation, contraception, and related issues for 7,969 women aged 15-44 irrespective of marital status in the United States in 1982. The study consists of data covering a wide range of background characteristics, a number of measures of fertility and contraception, measures of fecundity and birth expectations, use of family planning services, and detailed pregnancy histories. Demographic items specify age, marital history, education, income, occupation, race, ethnicity, residence, and religion.

Abstract (en): The Integrated Fertility Survey Series (IFSS) integrates data from ten underlying component studies of family and fertility: the Growth of American Families studies of 1955 and 1960; the National Survey of Fertility of 1965 and 1970; and the National Surveys of Family Growth of 1973, 1976, 1982, 1988, 1995, and 2002. The first release contains harmonized sociodemographic variables for all respondents from all ten component studies, including those related to marital status, race and ethnicity, education, income, migration, religion, and region of origin, among others. The second release adds harmonized husband/partner sociodemographic variables as well as harmonized union history variables. The third release adds harmonized pregnancy, adoption, non-biological children, and menstruation variables. The fourth release adds harmonized fertility variables. The fifth release includes the addition of the pregnancy interval file. This file contains 217,128 pregnancy records with information pertaining to the pregnancies of all respondents. The sixth release adds comparative sample variables to the respondent and pregnancy interval files, and includes the addition of the contraceptive calendar file. This file contains 53,317 records with information pertaining to type and frequency of contraceptive use. The seventh release includes additional variables related to contraceptive knowledge, contraceptive use, birth control and family planning services, sexual history, infertility, and sterilizing operations. It also adds sociodemographic and union history variables. Imputed data through the third release are also included. Additional information about the Integrated Fertility Survey Series can be found on the IFSS Web site. The purpose of the Integrated Fertility Survey Series is to create a harmonized data set of ten component surveys of fertility and family growth. Integration of these data sets will allow for easier and more efficient analysis of family and fertility data over time. Data were harmonized from ten component studies of family and fertility, including the 1955 and 1960 Growth of American Families studies, 1965 and 1970 National Fertility Surveys, and the 1973, 1976, 1982, 1988, 1995, and 2002 National Surveys of Family Growth. IFSS staff harmonized all concepts that appeared in at least five of the component studies. In special cases, concepts that appears in as few as two component studies were also harmonized. Comparability notes, located on the IFSS Web site, outline the processes by which data were harmonized. Variables include sociodemographic, union history, pregnancy, fertility and pregnancy interval variables. These include variables related to: birth and date of interview; education; family structure in the respondent's childhood; life on farms; geography; household roster; income; respondent's mother; nativity; geographical origin; race and ethnicity; religion; marital status; urbanicity; employment; dates of marriage, divorce, and death of husbands; dates of cohabitation; age at marriage; husband characteristics; subsample filter variables; weights and standard error codes; menstruation; adoption; non-biological children; fertility assistance; fertility intentions; and pregnancy including outcomes, dates, contraception, nursing and additional variables. A weight variable with two implied decimal places has been included and must be used in any analysis. Methodology for the computation of the weight variable is available on the IFSS Web site. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. The universe includes all respondents in the following studies: the Growth of American Families studies of 1955 and 1960; the National Fertility Surveys of 1965 and 1970; and the National Surveys of Family Growth of 1973, 1976, 1982, 1988, 1995, and 2002. No primary data collection or sampling was performed. 2015-06-18 ICPSR added files that provide the basis for the onl...

Data set from a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were drawn from a nationally representative random-digit-dial sample of non-institutionalized, English-speaking adults, aged 25-74, selected from working telephone banks in the coterminous United States. Those queried participated in an initial telephone interview and responded to a mail questionnaire. MIDUS 2 carried forward MIDUS 1 and enlisted a new sample of African Americans. MIDUS2 also expanded the focus by incorporating detailed neurophysiological assessments on a large subsample in three geographic regions. Data collection largely repeats T1 assessments (45 minute phone interview, 100 page self-administered questionnaire) plus additions in select areas (e.g., cognitive functioning, optimism and coping, life events, caregiving). In addition, MIDUS 2 is using diary techniques to assess daily stressors in a subsample of respondents; conducting cognitive testing through telephone interviews; collecting biological data on a subsample of respondents, including baseline biomarkers as well as laboratory challenge studies, with assessments of salivary cortisol, blood pressure, and heart rate variability; and collecting EEG measures to focus on the central circuitry of emotion, related to affect and depression. Siblings and Twins: Similar data were collected from a survey of 951 siblings of a respondent in the main survey. MIDUS also contains twins data, from a separate national survey unrelated to the main MIDUS survey. From this separate national survey, a total of 1,996 twins agreed to participate. The Twins respondents were given the same assessments as the Main and Siblings samples. Additionally, the Twins sample was asked a series of questions about their birth, shared physical characteristics, childhood and adult relationships with their twin, whether they were dressed alike as children, and whether others experienced difficulty identifying them correctly. Data and comprehensive documentation for MIDUS 1 and 2 are available via ICPSR. * Dates of Study: 1995-2008 * Study Features: Longitudinal, Minority Oversampling, Anthropometric Measures * Sample Size: ** 1995-6: 4,242 (MIDUS 1) ** 2004-6: 7,108 (MIDUS 2) Links: * ICPSR ����?? MIDUS 1: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02760 * ICPSR ����?? MIDUS 2: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04652

Abstract

In 2007-2008 a multi-topic household survey, the Timor Leste Living Standards Survey (LSS-2) was conducted in East Timor with the main objectives of developing a system of poverty monitoring and supporting poverty reduction, and to monitor human development indicators and progress toward the Millennium Development Goals. The LSS-3 extension survey was designed to re-visit one third of the households interviewed under the LSS-2 to explore different facets of household welfare and behaviour in the country, while also being able to make use of information collected in the LSS-2 survey for analytic purposes. The four new topics investigated in the extension survey are:

• Risk and Vulnerability: This section is designed to help us understand the dimensions and sources of household-level vulnerability to uninsured risks in Timor Leste, and the efficacy and welfare effects of various risk-management strategies (prevention, mitigation, coping) and mechanisms (private as well as public, formal as well as informal) households do (or do not) have access to. The work in Timor Leste is part of a program of analytic work and policy dialogue throughout the EAP region, more information on which can be found on the World Bank website.
• Land Degradation and Poverty: This section of the questionnaire is designed to identify proximate causes of deforestation through land use patterns and links with poverty; understand strengths and failures of common land resource management institutions (property rights, enforcement); understand the impact of the Siam Weed problem on household welfare.
• Justice for Poor: The Justice for the Poor/Access to Justice (J4P/A2J) module of the survey will serve mainly as an initial diagnostic for project development in the country. The topics we would be interested in covering would be Dispute Processing/Resolution; Social Legal Norms and Perceptions of Efficiency in Government (Local, Sub-District, District and National level).
• Access to Financial Services: The financial service work has the following two objectives: (i) to collect data on access to and use financial services (savings and credit), both formal and informal, and (ii) assess the quality of information on access to financial services obtained from head of households vs. from all adults - i.e. is there a bias introduced by not asking all household members, do the characteristics of the head or the household affect this (gender, age, nuclear family, urban, education levels, wealth, etc.).

Geographic coverage

National coverage

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE DESIGN FOR THE 2008 EXTENSION SURVEY

Sampling for the LSS-3 Extension survey was a sub-sample of the original LSS-“ sample. The LSS-2 field work was divided into 52 "weeks", with each week being a random subset of the total sample. The sub-sample was chosen by randomly selecting 19 weeks from the original field work schedule. Each week contained seven Primary Sampling Units (PSUs) for a total of 133 PSUs. In each PSU the teams were to interview 12 of the original 15 households, with the remaining three to serve as replacements. The total nominal sample size was thus 1596.

Additional interviews: Following the collection and initial analysis of the data, it was determined that data from one district, Manatuto, and partially from another district, Oecussi, were of insufficient quality in certain modules. Therefore, it was decided to repeat the survey in another 25 PSUs of these two districts - six in Manatuto, and 19 in Oecussi. The additional PSUs chosen were randomly selected within the two districts from the remaining non-panel PSUs in the original LSS-2 sample.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

DATA CLEANING

The LSS-3 had a significant number of responses in which the response is "other". In general, if the response clear fit into a pre-coded response category, it was recoded into that category during the cleaning and compilation process. Some responses where additional information was provided were not recoded even though they clearly fit into pre-coded categories. For example, agriculture project" would be recoded into the "agriculture" category, while "community garden" would not. Data users can either use the additional information, or re-code into categories as they see fit. Potential Data Quality Issues in 2008 Extension survey

Data appraisal

Potential Data Quality Issues in 2008 Extension survey

Agriculture: Similarly, to the individual roster of the previous section, the plots listed in the previous survey are listed on the pre-printed cover page and all changes noted. The agricultural section, similarly, to the other sections, suffers from problems with open-ended questions. This is particularly the case for the question asking what community restrictions are placed on the clearing of forest land (section 2d). The translation from the original question was vague (using the Tetun word for "boundary" for "restriction,") and therefore many of the responses relate to physical boundaries on the land, such as stone walls and tree lines. Additionally, the translation of all answers from Tetun into English is imperfect, and those wishing to use this information for analytical purposes are advised to also refer to the original Tetun. Analysts should be careful in using the data from the open ended questions because of translation problems. Also, it was noted during the training and field work that many interviewers had significant difficulties understanding definitions with some of the land management and investment questions. In general, however, all agricultural data may be used for analysis, sampling weights w3.

Finance: It should be noted that the quality of the data for the finance experiment (comparing the knowledge of the household head to that of other household members) was not sufficient for the experiment to be deemed a success. Subsequent spot-checking revealed that in many cases, interviewers asked the household head about the financial activities of various household members instead of asking them directly. Therefore, this data should only be used to measure the access to finance at the household level. The finance sections were not repeated during the additional interviews in the replacement PSUs. Sampling weights w1 should be used when doing any analysis with this data.

Shocks and Vulnerability: It was determined following the initial round of data collection that the shocks and vulnerability module had some issues with uneven interview quality. Two reasons were listed as potential causes of the data quality issues: (1) fundamental inability to adequately translate both the word and concept of a "shock" into the Timorese context, and (2) incomplete / questionable responses to the health shock questions in particular. Analysis for health shocks should drop the "questionable" households and use the "re-interview" households, sampling weights w2.

Justice for the Poor: Similar to the shocks and vulnerability module, the justice module included a long series of follow up questions if the household indicated having experienced a dispute during the recall period. Again, the number of disputes experienced by the household seemed extremely low compared to expectations. This was particularly a problem with the Manatuto district in which no disputes were recorded during the first set of TLSLS2-X interviews. Analysis for the disputes section of the justice module should drop the "questionable" households and use the "re-interview" households, sampling weights w2. The justice model also has a number of instances in which the specifications for "other" were not recorded. Every effort was made to ensure this data was as complete as possible, but gaps do remain. Also, data users should use caution when using the imputed rank variable in section 5D. The rank in terms of importance was not explicitly captured in the data entry software, and the rankings therefore had to be imputed from the order they were listed in the original data entry. Inconsistencies may exist in this variable.