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Dating It Safe is a longitudinal cohort study of 1,042 youth in southeast Texas. Primarily freshmen high school students were recruited and assessed in the spring of 2010. Follow-up waves were collected annually each spring from 2011 through 2017 (Waves 2-8). The primary aims of this research study were to examine the:

• longitudinal association between the three different forms of teen dating violence (TDV; i.e., physical violence, psychological abuse, and sexual aggression), and
• risk and protective factors of TDV perpetration and victimization.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in more than 40 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 2009-2010 school year. The files contain data on 12,642 students from 314 participating schools. Of the 314 participating schools a school administrator questionnaire was completed by 283 of them. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC.

The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence.

The study contains questions dealing with many types of drugs such as tobacco, alcohol, marijuana, and other substances. Other topics include questions about family composition, the student's physical health, and other health behaviors and attitudes. Some of these topics include eating habits, dieting, physical activity, body image, health problems, and bullying. A school administrator also completed a survey concerning the school's programs and policies that affect students' health and the content of various health courses.

This data collection contains the first four waves of the Iowa Youth and Families Project (IYFP), conducted in 1989, 1990, 1991, and 1992. The Iowa Youth and Families Project was developed from an initial sample of 451 7th graders from two-parent families in rural Iowa. The study was merged with the Iowa Single Parent Project (ISPP) to form the Iowa Family Transitions Project in 1994, when the target youth were seniors in high school. Survey data were collected from the target child (7th grader), a sibling within four years of age of the target child, and both parents. Field interviewers visited families at their homes on several occasions to administer questionnaires and videotape interaction tasks including family discussion tasks, family problem-solving tasks, sibling interaction tasks, and marital interaction tasks.

The Household Data files contain information about the family's financial situation, involvement in farming, and demographic information about household members.

The Parent and the Child Survey Data files contain responses to survey questions about the quality and stability of family relationships, emotional, physical, and behavioral problems of individual family members, parent-child conflict, family problem-solving skills, social and financial support from outside the home, traumatic life experiences, alcohol, drug, and tobacco use, and opinions on topics such as abortion, parenting, and gender roles. In addition, the Child Survey Data files include responses collected from the target child and his or her sibling in the study about experiences with puberty, dating, sexual activity, and risk-taking behavior.

The Problem-Solving Data files contain survey data collected from respondents about the family interactions tasks.

The Observational Data files contain the interviewers' observations collected during these tasks.

Demographic variables include sex, age, employment status, occupation, income, home ownership, religious preference, frequency of religious attendance, as well as the ages and sex of all household members and their relationship to the head of household. Demographic information collected on the parents also includes their birth order within their family, the ages and political philosophy of their parents, the sex, age, education level, and occupation of their siblings, and the country of origin of their ancestors.

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download.

The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships.

Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents.

Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer.

From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study.

Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full pregnancy and fertility histories from both men and women, an educational history of dates of degrees and school attendance, contact with the criminal justice system, military service, and various employment events, including the date of first and current jobs, with respective information on occupation, industry, wages, hours, and benefits. Finally, physical measurements and biospecimens were also collected at Wave IV, and included anthropometric measures of weight, height and waist circumference, cardiovascular measures such as systolic blood pressure, diastolic blood pressure, and pulse, metabolic measures from dried blood spots assayed for lipids, glucose, and glycosylated hemoglobin (HbA1c), measures of inflammation and immune function, including High sensitivity C-reactive protein (hsCRP) and Epstein-Barr virus (EBV).

Wave V data collection took place from 2016 to 2018, when the original Wave I respondents were 33 to 43 years old. For the first time, a mixed mode survey design was used. In addition, several experiments were embedded in early phases of the data collection to test response to various treatments. A similar range of data was collected on social, environmental, economic, behavioral, and health circumstances of respondents, with the addition of retrospective child health and socio-economic status questions. Physical measurements and biospecimens were again collected at Wave V, and included most of the same measures as at Wave IV.

The overall goal of Wave VI was to better understand life course trajectories, determinants, and consequences of critical dimensions of aging, health, and health disparities among U.S. early midlife adults. Data collection took place from 2022 to 2025, with participants between the ages of 39 and 51, with an average age of 44. Beyond longitudinal survey measures, newly added questions included those on cumulative stress, discrimination, despair, work-life balance, memory, physical limitations, and caregiving. Continuing from previous waves, home exams collected physical measurements and biospecimens with most of the same measures as Wave V.

The National Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships.

The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Round 2 interviews were conducted from August 2010 through May 2011, during which Round 1 Respondents were re-interviewed. An attempt was also made to interview individuals who were sampled in Round 1 but declined to participate. In addition, spouses or co-resident partners were also interviewed using the same instruments as the main respondents. This process resulted in 3,377 total respondents. The following files constitute Round 2: Core Data, Disposition of Round 1 Partner Data, Social Networks Data, Social Networks Update Data, Partner History Data, Partner History Update Data, Medications Data, Proxy Data, and Sleep Statistics Data.

Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships, and patient-physician communication, in addition to bereavement items. Data were also collected from respondents on the following items and modules: social activity items, physical contact module, sexual interest module, get up and go assessment of physical function, and a panel of biomeasures, including weight, waist circumference, height, blood pressure, smell, saliva collection, and taste.

The Disposition of Round 1 Partner files (Datasets 3 and 4) detail information derived from Section 6A items regarding the partner from Round 1 within the questionnaire. This provides a complete history for respondent partners across both rounds.

The Social Networks files (Datasets 5 and 6) contain one record for each person identified on the network roster. Respondents who refused to participate in the roster or who did not identify anyone are not represented in this file.

The Social Networks Update files (Datasets 7 and 8) detail respondents' current relationship status with each person identified on the network roster.

The Partner History file (Dataset 9) contains one record for each marriage, cohabitation, or romantic relationship identified in Section 6A of the questionnaire, including a current partner in Round 2 but excluding the partner from Round 1.

The Partner History Update file (Dataset 10) details respondents' current sexual partner information, as well as marital and cohabiting status.

The Medications Data file (Dataset 11) contains records for items listed in the medications log.

The Proxy Data files (Datasets 12 and 13) contain information from proxy interviews administered for Round 1 Respondents who were either deceased or whose health was too poor to participate in Round 2.

The Sleep Statistics Data files (Dataset 14 and 15) provide information on actigraphy sleep variables.

NACDA also maintains a Colectica portal with the NSHAP Core data across rounds 1-3, which allows users to interact with variables across rounds and create customized subsets. Registration is required.

The National Survey of American Life Adolescent Supplement (NSAL-A), 2001-2004, was designed to estimate the lifetime-to-date and current prevalence, age-of-onset distributions, course, and comorbidity of DSM-IV disorders among African American and Caribbean adolescents in the United States; to identify risk and protective factors for the onset and persistence of these disorders; to describe patterns and correlates of service use for these disorders; and to lay the groundwork for subsequent follow-up studies that can be used to identify early expressions of adult mental disorders. In addition and similar to the NSAL adult dataset (Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003 [United States] (ICPSR 20240)), the adolescent dataset contains detailed measures of health; social conditions; stressors; distress; racial identity; subjective, neighborhood conditions; activities and school; media; and social and psychological protective and risk factors. Numerous variables from the adult dataset have been merged into the adolescent dataset, as the NSAL adult and adolescent respondents reside in the same households. Some of these variables apply to the entire household (i.e. region, urbanicity, and family income), while others apply specifically to the NSAL adult respondent living in the adolescent's household (i.e. adult years of education, adult marital status, and adult nativity [foreign-born vs. US born]). The immigration measures were asked of Caribbean black adult respondents only. No comparable measures assess the immigration and generational status of the Caribbean black adolescent respondents. The adult dataset measures are merged into the adolescent dataset to assist in approximating these measures for adolescent respondents. The NSAL adolescent dataset also includes variables for other non-core and experimental disorders. These include tobacco use/nicotine dependence, premenstrual syndrome, minor depression, recurrent brief depression, hypomania, and hypomania sub-threshold. Demographic variables include age, race and ethnicity, ancestry or national origins, height, weight, marital status, income, and education level.

In 2008, with funding from the National Institute on Aging (NIA), baseline survey data for the Survey of Midlife in Japan (MIDJA), April-September 2008 were collected from a probability sample of Japanese adults (N=1,027) aged 30 to 79 from the Tokyo metropolitan area (ICPSR 30822). In 2009-2010 biomarker data was obtained from a subset of these cases (ICPSR 34969).

The survey and biomarker measures obtained parallel those in a national longitudinal sample of Americans known as Midlife in the United States or MIDUS (ICPSR 2760: MIDUS 1 and ICPSR 4652: MIDUS 2). The central objective was to compare the Japanese sample (MIDJA) with the United States sample (MIDUS) to test hypotheses about the role of psychosocial factors in the health (broadly defined) of mid- and later-life adults in Japan and the United States.

In 2012, with additional support from NIA, a longitudinal follow-up of the MIDJA sample was completed. The data collection for this second wave (N=657) largely repeated the baseline assessments. The goal of the follow-up wave was to conduct comparisons of longitudinal data available from the Japanese sample (MIDJA) and the United States sample (MIDUS) to test the hypothesis about the role of psychosocial factors in predicting health changes (including biomarkers) in both cultural contexts. Cultural influences on age differences in health and well-being were also of interest.

Demographic and background information included gender, age, education, marital status, household composition, and income.

The Toledo Adolescent Relationships Study (TARS) explores the relationship qualities and the subjective meanings that motivate adolescent behavior. More specifically, this study seeks to examine the nature and meaning of adolescent relationship experiences (e.g. with family, peers, and dating partners) in an effort to discover how experiences associated with age, gender, race, and ethnicity influence the meaning of dating relationships. The study further investigates the relative impact of dating partners and peers on sexual behavior and contraceptive practices, as well as involvement in other problem behaviors that can contribute independently to sexual risk-taking. The longitudinal design of the Toledo Adolescent Relationships Study (TARS) includes a schedule of follow-up interviews occurring one, three, five, ten, and about eighteen years after the initial interview. Additional waves have since been conducted.

Wave 1 of TARS includes detailed data collected from both parents and adolescent respondents about their relationship experiences, including self-reported data from parents, parent-reported data about adolescent respondents, and self-reported data from adolescent respondents. These data are available as a combined dataset organized by adolescent respondent.

The Toledo Adolescent Relationships Study (TARS) includes several waves of data collection available through ICPSR. Please see the ICPSR Series page for available studies.

The Toledo Adolescent Relationships Study (TARS) explores the relationship qualities and the subjective meanings that motivate adolescent behavior. More specifically, this study seeks to examine the nature and meaning of adolescent relationship experiences (e.g. with family, peers, and dating partners) in an effort to discover how experiences associated with age, gender, race, and ethnicity influence the meaning of dating relationships. The study further investigates the relative impact of dating partners and peers on sexual behavior and contraceptive practices, as well as involvement in other problem behaviors that can contribute independently to sexual risk-taking. The longitudinal design of the Toledo Adolescent Relationships Study (TARS) includes a schedule of follow-up interviews occurring one, three, five, ten, and about eighteen years after the initial interview. Additional waves have since been conducted.

Wave 2 of TARS includes data from follow-up surveys of adolescent respondents conducted approximately one year after the initial TARS survey. These data are accompanied by a series of weights for use in secondary analysis.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study explores the relationship qualities and the subjective meanings that motivate adolescent behavior. More specifically, this study seeks to examine the nature and meaning of adolescent relationship experiences (e.g., with family, peers, and dating partners) in an effort to discover how experiences associated with age, gender, race, and ethnicity influence the meaning of dating relationships. The study further investigates the relative impact of dating partners and peers on sexual behavior and contraceptive practices, as well as involvement in other problem behaviors that can contribute independently to sexual risk taking.

The longitudinal design of the Toledo Adolescent Relationships Study (TARS) includes a schedule of follow-up interviews occurring one, three, and five years after the initial interview. Four prior waves of data have been collected (2001, 2002, 2004, and 2006). Data were collected from adolescent respondents through structured in-home interviews utilizing laptop computers.

In addition, the fifth wave, conducted in 2011 when the participants were young adults, builds on prior waves by adding quantitative and qualitative assessments of intimate partner violence (IPV).

Prior research on parental incarceration has documented negative effects on various forms of child well-being ranging from conduct problems to academic deficits and eventually, an intergenerational cycle of criminal justice involvement. Yet as the National Academy of Sciences committee report on incarceration recently concluded, existing research has not adequately assessed the range of other family circumstances and disadvantages that may co-vary with the parent's criminal justice system involvement, and knowledge about basic mechanisms underlying incarceration effects remains markedly incomplete. This study builds on, a ten-year mixed method longitudinal study, the Toledo Adolescent Relationships Study (TARS), that has focused on the lives of a sample of men and women interviewed first as adolescents and four additional times across the transition to adulthood. The TARS study contains data involving patterns and seriousness of parental offending over the complete study period, as well as about other time-varying factors hypothesized to mediate incarceration-child well-being associations.

The primary goal of this study is to collect survey data to examine the effect of parental incarceration on a range of child well-being outcomes, including conduct problems, academic readiness/achievement and emotional and physical health, among children born to participants in the TARS study. Child well-being outcomes includes internalizing and externalizing problems, academic readiness/attainment, and emotional and physical health. This study also includes parental disadvantages across the three subgroups of system contact, including variation in objective and subjective indicators of economic marginality, relationship difficulties, perceived stress, depression, and lack of social support.

The Youth Development Study (YDS) was initiated as a school-based study of adolescent children and their parents to examine the consequences of formative experiences in adolescence for mental health, value formation, educational achievement, and multiple facets of behavioral adjustment. Particular attention was directed to the impacts of early work experience. Data were also obtained about parent-child and peer relationships and experiences in school. As the study continued, the focus shifted to adult development and attainment and, most recently, mid-life adjustment and health. This comprehensive longitudinal study now encompasses three generations: the initial cohort studied from adolescence to mid-life (G2), their parents (G1), and their adolescent children (G3). Data from three generations in the same families enable study of intergenerational relationships and differences in the experience of adolescence and transition to adulthood across parent and child cohorts. The YDS covers a wide range of topics of interest to sociologists, social psychologists, developmental psychologists, and life course scholars, including the development and impacts of agentic resources, socioeconomic attainment, processes of inter- and intra-generational mobility, objective and subjective work conditions, family relationships, intergenerational relationships, mental and physical health, and well-being.

In-school administration of paper surveys during the first four years of the study was supplemented by mailed surveys. Subsequent data collection took place entirely by mail, with 19 surveys conducted between 1988 and 2011. A final survey was conducted on-line in 2019. Survey data was obtained from the parents (G1) of this cohort during the first and fourth waves of the study (1988 and 1991). Surveys of the children (G3) began in 2009, continued in 2010 and 2011 (by mail) and in 2019-2020 (online).

The Youth Development Study measures a wide range of formative experiences and both psychological and behavioral variables, using survey methodology.

The G1 surveys obtained information about socioeconomic background as well as attitudes toward teenage employment, the parents' own employment as teenagers, their current work experiences, and educational expectations for their children.

The G2 surveys during the high school years included detailed questions about students' work and volunteer experiences, as well as experiences in their family, school, and peer groups, with an emphasis on the ways that working affected other life domains, mental health, and well-being. Shorter surveys containing many of the same topics were administered to students in 1992, 1993, and 1994, and included questions about current family and living arrangements. In 1995, a full survey was administered covering the wide range of topics included in previous surveys as well as information about career plans and life events that had occurred in the past five years. G2 Waves 9 through 19 (1997-2011) included many of the same questions contained in earlier surveys and additional sections that focused on the respondents' educational experiences, family relationships, sources of living expenses, and health and well-being. The most recent G2 survey (2019), administered on-line, included questions about support of aging parents. The YDS is unique in its coverage of both objective and subjective work experiences from adolescence to mid-life.

The topics covered by the G3 surveys are very similar to the G2 variables described above. Variables in each G2 and G3 wave are included in cross-wave codebooks, available at the Data Archive Codebook website.

For an overview of the Youth Development Study, see Mortimer, Jeylan T. (2012) "The Evolution, Contributions, and Prospects of the Youth Development Study: An Investigation in Life Course Social Psychology." Social Psychology Quarterly 75(1, March):5-27.