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The 2021-2022 Study of Family and Staff Experiences in AIAN Head Start FACES Programs (2021-2022 Study) builds on the American Indian and Alaska Native Head Start Family and Child Experiences Survey (AIAN FACES), which has been a source of national information on children and families enrolled in Head Start programs operated by federally recognized tribes (known as Region XI AIAN Head Start) since 2015. The motivation and goals of the Study of Family and Staff Experiences in AIAN FACES Programs (the 2021-2022 study) came from a need that arose as the COVID-19 pandemic continued into another year of affecting Region XI Head Start families' and staff's lives--and from recognizing the disproportionate impact of the pandemic on AIAN communities.

The 2021-2022 study included a nonrepresentative sample of Region XI Head Start programs and the children and families they serve. Although a nationally representative sample of Region XI Head Start programs, centers, teachers, and children were selected, fewer of them participated than expected, despite an extension of the planned parental consent collection and data collection windows.

The 2021-2022 Study of Family and Staff Well-Being in Head Start FACES Programs (2021-2022 study), builds on the Head Start Family and Child Experiences Survey (FACES), which has been a source of national information about Head Start programs and participants since 1997. The motivation and goals of the Study of Family and Staff Well-Being in Head Start Family and Child Experiences Survey Programs (the 2021-2022 study) came from a need that arose as the COVID-19 pandemic continued into another year of affecting Head Start families' and staff's lives.

The 2021-2022 study included two components. Firstly, the Program, Staff, and Family Study, was conducted in 60 programs, and included the collection of parent surveys and Teacher Child Reports (TCRs) in fall 2021 and spring 2022, as well as a teacher survey in fall 2021. Secondly, the Program and Staff Study, conducted in the 60 programs participating in the Program, Staff, and Family Study plus an additional 120 programs, included the collection of program director, center director, and teacher surveys in spring 2022.

The 2021-2022 study aimed to describe the national population of Head Start programs, centers, teachers, classrooms, and children during the 2021-2022 program year. However, the Data Producers were unable to fully meet this goal because of challenges related to the COVID-19 pandemic. A nationally representative sample of Head Start programs was selected. However, fewer of the programs participated than expected. Probability samples of centers, teachers, and children within the participating programs were selected. Weights are available for analysis to account for the probability that children and their teachers, centers, and programs were selected for the study. This lessens the risk of bias due to study non-participation and survey nonresponse; and provide results that represent, to the extent possible, all programs, centers, teachers, classrooms, and children in Head Start. The responding sample may not fully represent the population due to higher-than-expected non-response that may not have been adequately addressed with weighting adjustments.

Despite these limitations, the 2021-2022 study sample design supports many analyses for programs and teachers, as well as children. The data from the programs in the Program, Staff, and Family Study can address questions about the children and parents who participate in the program, including about children's development across one year in the Head Start program for both newly entering children and those returning for a second year. The study also supports research questions related to subgroups of interest, such as families with low income and specific racial/ethnic groups, as well as policy issues that emerge during the study. In addition, the research questions investigate the characteristics of Head Start programs, centers, and teachers, and the classrooms they teach. Users can use the same data to answer questions about the relationships between program and classroom characteristics and child and family well-being. The data from the larger sample of programs in the Program and Staff Study are most useful for answering questions about Head Start programs, classrooms, teachers, and program and center directors.

The data producers have recompiled the ACTIVE data into a new study which is available as of December 2023, ICPSR 38821; data users should plan to use study 38821 instead.

ACTIVE (Advanced Cognitive Training for Independent and Vital Elderly), 1999-2001 [United States] was a multisite randomized controlled trial conducted at six field sites with New England Research Institutes (NERI) as the coordinating center. The field sites included the University of Alabama at Birmingham, Hebrew Rehabilitation Center for the Aged in Boston, Indiana University, Johns Hopkins University in Baltimore, Pennsylvania State University, and the University of Florida/Wayne State University (Detroit). The primary aim of the trial was to test the effects of three distinct cognitive interventions -- previously found to be successful in improving elders' performance on basic measures of cognition under laboratory or small-scale field conditions -- on measures of cognitively demanding daily activities. Trainings consisted of an initial series of ten group sessions followed by four-session booster trainings at one and three years. The three cognitive interventions focused on memory, executive reasoning, and speed of processing. The design included a no-contact control group. Participants were assessed at baseline, immediately after training, and annually thereafter. A total of 2,832 older adults were enrolled in the trial, and 2,802 were included in the analytical sample. Twenty-six percent of the participants were African American.

The Americans' Changing Lives (ACL) survey series is an ongoing, nationally representative, longitudinal study focusing especially on differences between Black and White Americans in middle and late life. These data constitute the first, second, third, fourth, fifth, and sixth waves in a panel survey covering a wide range of sociological, psychological, mental, and physical health items. Wave I of the study began in 1986 with a nation face-to-face survey of 3,617 adults ages 25 and up, with Black Americans and people aged 60 and over over-sampled at twice the rate of the others. Wave II constitutes face-to-face re-interviews in 1989 of those still alive. Survivors have been re-interviewed by telephone, and when necessary face-to-face, in 1994 (Wave III), 2001/02 (Wave IV), 2011 (Wave V), and 2019/21 (Wave VI).

Please note that for Wave VI, the majority of data collection occurred in 2019, with only a small subset (n=39) of participants surveyed in 2021.

ACL was designed and sought to investigate the following: (1) The ways in which a wide range of activities and social relationships that people engage in are broadly "productive," (2) how individuals adapt to acute life events and chronic stresses that threaten the maintenance of health, effective functioning, and productive activity, and (3) sociocultural variations in the nature, meaning, determinants, and consequences of productive activity and relationships. Among the topics covered are interpersonal relationships (spouse/partner, children, parents, friends), sources and levels of satisfaction, social interactions and leisure activities, traumatic life events (physical assault, serious illness, divorce, death of a loved one, financial or legal problems), perceptions of retirement, health behaviors (smoking, alcohol consumption, overweight, rest), and utilization of health care services (doctor visits, hospitalization, nursing home institutionalization, bed days). Also included are measures of physical health, psychological well-being, and indices referring to cognitive functioning.

Demographic information provided for individuals includes household composition, number of children and grandchildren, employment status, occupation and work history, income, family financial situation, religious beliefs and practices, ethnicity, race, education, sex, and region of residence.

The Behavioral Risk Factor Surveillance System (BRFSS) is a system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. Established in 1984 with 15 states, BRFSS now collects data in all 50 states as well as the District of Columbia and three U.S. territories. BRFSS completes more than 400,000 adult interviews each year.

The Chitwan Valley Family Study (CVFS) is a comprehensive family panel study of individuals, households, and communities in the Chitwan Valley of Nepal. The study was initially designed to investigate the influence of changing community and household contexts on population outcomes such as marital and childbearing processes. Over time, the goals of the study expanded to investigate family dynamics, intergenerational influences, child health, migration, labor force participation, attitudes and beliefs, mental health, agricultural production, environmental change, and many other topics. The data include full life histories for more than 10,000 individuals, tracking and interviews with all migrants, continuous measurement of community change, over 25 years of demographic event registry, and many other data collections. For additional information regarding the Chitwan Valley Family Study, please visit the Chitwan Valley Family Study Website. A Data Guide for this study is available as a web page and for download.

Principal Investigators

• William G. Axinn, University of Michigan
• Dirgha Ghimire, University of Michigan
• Jordan Smoller, Massachusetts General Hospital

This collection includes a combined dataset of the Generations study wave 1 (baseline) survey and the TransPop study transgender survey. The two studies have many overlapping variables, and they examined topics such as respondents' health outcomes and behaviors, experiences with discrimination, identity, and transition-related experiences. Data from these studies were merged to allow for analysis of the combined LGBT populations. This dataset has also been reweighted to be representative of these populations.

The complete Generations study data (baseline, wave 2, and wave 3 survey data) can be found under study number 37166, and the complete TransPop study data (transgender and cisgender survey data) can be found under study number 37938. For detailed information on the Generations and TransPop studies, including related publications, please refer to their respective DSDR/ICPSR study pages.

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.

The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005, the baseline collection. CRELES-2 refers to the second wave of visits in this longitudinal study, and includes the results from these visits. The first wave of interviews, or baseline, of CRELES is also available at http://doi.org/10.3886/ICPSR26681. The second wave fieldwork was conducted from October 2006 to July 2008, with 2,364 surviving and contacted participants. The original sample was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest-old (ages 95 and over). Vital statistics indicate that Costa Rica has an unusually high life expectancy for a middle-income country, even higher than that of the United States, but CRELES is the first nationally representative survey to investigate adult health levels in Costa Rica. CRELES public use data files contain information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood samples (such as cholesterol, glycosylated hemoglobin, and C-reactive protein). Mortality events are tracked and conditions surrounding death are measured in a surviving family interview.

The First Baby Study (FBS) was a prospective cohort study designed to investigate the association between mode of delivery at first childbirth (cesarean or vaginal) and subsequent fecundity and fertility over the course of a 3-year follow-up period. Women were enrolled during pregnancy and interviewed by telephone in their third trimester. Enrolled participants were followed-up with and surveyed at 1, 6, 12, 18, 24, 30 and 36 months postpartum. Participants were enrolled in 2009 to 2011 and the last interview was conducted in 2014.

The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers:

1. What are the conditions and capabilities of unmarried parents, especially fathers?
2. What is the nature of the relationships between unmarried parents?
3. How do children born into these families fare?
4. How do policies and environmental conditions affect families and children?

The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors.

A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver.

Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data).

An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver.

The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3).

In 2017, the FFCWS team announced the Fragile Families (FF) Challenge, a collaborative effort in which participants were tasked with using machine learning methods and FFCWS data (Baseline to Year 9) to build a model that would predict six key outcomes at Year 15. Materials used in the FF Challenge have been archived in this collection.

Documentation for these files is available on the FFCWS website under Data and Documentation. For details of updates made to the FFCWS data files, please see the project's Data Alerts page.

Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations.

Below is the citation for use of the FFCWS data accessed through ICPSR. For information on additional citation requirements when using FFCWS in publications, please refer to this FAQ on the FFCWS project site.

The Generations study is a five-year study designed to examine health and well-being across three generations of lesbians, gay men, and bisexuals (LGB). The study explored identity, stress, health outcomes, and health care and services utilization among LGBs in three generations of adults who came of age during different historical contexts. This collection includes baseline, wave 1, and wave 2 data collected as part of the Generations study.

The study aimed to assess whether younger cohorts of LGBs differed from older cohorts in how they viewed their LGB identity and experienced stress related to prejudice and everyday forms of discrimination, as well as whether patterns of resilience differed between different LGB cohorts. Additionally, the study sought to examine how differences in stress experience affected mental health and well-being, including depressive and anxiety symptoms, substance and alcohol use, suicide ideation and behavior, and how younger LGBs utilized LGB-oriented social and health services, relative to older cohorts.

In wave 2, respondents were re-interviewed approximately one year after completion of the baseline (wave 1) survey. Only respondents who participated in the original sample of participants were surveyed at wave 2 (i.e., the enhancement oversample was not included in the longitudinal design of this study).

In wave 3, respondents were re-interviewed approximately one year after the completion of the wave 2 survey.

Demographic variables collected as part of this study include questions related to age, education, race, ethnicity, sexual identity, gender identity, income, employment, and religiosity.

The first goal of this study was to identify the incidence of partner violence among Temporary Assistance for Needy Families (TANF) recipients over a three-year period. The second goal of this study was to examine the impact of partner violence on women's labor force participation over time. A final goal of this research was to explore the short and longer-term consequences of victimization on women's employment and economic well-being, as well as their physical and mental health.

This study used the first three years of data from the Illinois Families Study (IFS). The first of the annual surveys was administered between November 1999 and September 2000, the second between February 2001 and September 2001, and the third between February 2002 and September 2002.

The three data files contain very similar information including such items as a household roster, housing and neighborhood characteristics, employment, literacy and skills, parenting, and children. There is also information related to the respondent's history, health, self-efficacy, life events, experiences with domestic violence, civic participation and social support, income resources, and experiences with welfare.

The Part 1 (Wave 1 Data) data file contains 1,323 cases and 942 variables. The Part 2 (Wave 2 Data) data file contains 1,183 cases and 763 variables. The Part 3 (Wave 3 Data) data file contains 1,072 cases and 778 variables.

Additional information about the Illinois Families Study (IFS) is available on the IFS Web site.

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.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The TILDA Series data files, including studies 34315, 38681, 37105, 37106, 38670, 38674, are no longer available from ICPSR and NACDA at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/).

The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/).

The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized.

The second wave of TILDA interviews were undertaken between February 2012 and March 2013. Of the 8,504 interviewed in Wave 1, a second interview was obtained for 7,445 respondents. These consisted of the self, proxy and end-of-life interviews types. In addition to the returning respondents, 170 interviews were obtained from eligible household members who had chosen not to take part in Wave 1 or the new spouses/partners of existing respondents.

Demographic and background variables include age, sex, marital status, household composition, education, and employment.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/).

The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized.

The third wave of TILDA interviews were undertaken between March 2014 and October 2015. Of the 7,445 interviewed in Wave 2, a third interview was obtained for 6,874 respondents. These consisted of the self, proxy and end-of-life interviews types. In addition to the returning respondents, 28 interviews were obtained from eligible household members who had chosen not to take part in Wave 1 or the new spouses/partners of existing respondents.

Demographic and background variables include age, sex, marital status, household composition, education, and employment.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/).

The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a one year basis with a sample cohort of residents of Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized.

The fourth wave of TILDA interviews were undertaken between January and December 2016. A total of 5,713 participants completed the self-interview.

Demographic and background variables include age, sex, marital status, household composition, education, and employment.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/).

The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a one year basis with a sample cohort of residents of Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized.

The fifth wave of TILDA interviews were undertaken between January and December 2018. A total of 4,978 participants completed the self-interview.

Demographic and background variables include age, sex, marital status, household composition, education, and employment.

The NIH-funded Katrina@10 Program consists of an interrelated set of three primary data collection projects that focus on specific sub-populations who were uniquely affected by Hurricane Katrina: households along Louisiana and Mississippi's Gulf Coast, low-income parents from New Orleans, and Vietnamese families living in New Orleans. In addition, the program contains two secondary analyses of data that are more broadly representative of the overall affected population, and three cores (Administrative, Data Collection, Data Management and Dissemination) to support the set of research projects. The following research questions represent the studies together as a whole:

• How well does the socio-ecological model of disaster recovery developed by the research team (Abramson et al. 2010) predict recovery across the three cohort studies?
• How do trajectories of long-term recovery differ among and within these sub-populations?
• How do the trajectories of recovery compare to those of mainstream populations?
• How do the effects of predisposing factors (such as poverty) and degree-of-impact (such as flooding depth) vary among the three sub-populations?
• How do interpretations of the disaster, resilience, and recovery differ among respondents?
• What are the determinants of long-term recovery in domains such as mental and physical health, socio-economic status, and community and social roles? How are these domains related to each other across individuals and across sub-populations?

This collection contains data from the Gulf Coast Child and Family Health Study (GCAFH), a longitudinal cohort study of families living in the Louisiana and Mississippi Gulf Coast who had been displaced or sustained extensive household damage due to Hurricane Katrina. The GCAFH research team collected survey data from the initial cohort in 2006 (n=1,079) with multiple follow-ups through 2010, assessing post-disaster recovery via indicators such as economic recovery, social engagement, personal resilience, community cohesion, infrastructure stability, and physical and mental health.

The data in this collection is from the most recent survey follow-up with participants, conducted between 2016 and 2018. A public-use version (DS1) and restricted-use version (DS2) are available. Open-ended responses, continuous respondent age, continuous total household income, and a 7-category race variable have been masked in the public-use version. These items are available in the restricted-use version.

The NIH-funded Katrina@10 Program consists of an interrelated set of three primary data collection projects that focus on specific sub-populations who were uniquely affected by Hurricane Katrina: households along Louisiana and Mississippi's Gulf Coast, low-income parents from New Orleans, and Vietnamese families living in New Orleans. In addition, the program contains two secondary analyses of data that are more broadly representative of the overall affected population, and three cores (Administrative, Data Collection, Data Management and Dissemination) to support the set of research projects. The following research questions represent the studies together as a whole:

• How well does the socio-ecological model of disaster recovery developed by the research team (Abramson et al. 2010) predict recovery across the three cohort studies?
• How do trajectories of long-term recovery differ among and within these sub-populations?
• How do the trajectories of recovery compare to those of mainstream populations?
• How do the effects of predisposing factors (such as poverty) and degree-of-impact (such as flooding depth) vary among the three sub-populations?
• How do interpretations of the disaster, resilience, and recovery differ among respondents?
• What are the determinants of long-term recovery in domains such as mental and physical health, socio-economic status, and community and social roles? How are these domains related to each other across individuals and across sub-populations?

The Katrina Impacts on Vietnamese Americans in New Orleans (KATIVA NOLA) study was a longitudinal study interested in measuring the impact of Hurricane Katrina on Vietnamese-Americans living in New Orleans. The original sample was taken in summer 2005 and was followed by three rounds of short and medium-term data collection in the 5 years following Katrina. This study measured a variety of outcomes, including physical and mental health, economic stability, housing stability, and social ties, to examine the long-term recovery trajectories of participants.

The data in this collection are from an additional, long-term follow-up survey conducted between 2017 and 2019. A public-use version (DS1) and restricted-use version (DS2) are available. Open-ended responses, continuous respondent age, continuous total household income, and a variable indicating exposure to specific flood events have been masked in the public-use version. These items are available in the restricted-use version.

The NIH-funded KATRINA@10 Program consists of an interrelated set of three primary data collection projects that focus on specific sub-populations who were uniquely affected by Hurricane Katrina: households along Louisiana and Mississippi's Gulf Coast, low-income parents from New Orleans, and Vietnamese families living in New Orleans. In addition, the program contains two secondary analyses of data that are more broadly representative of the overall affected population, and three cores (Administrative, Data Collection, Data Management and Dissemination) to support the set of research projects. The following research questions represent the studies together as a whole:

• How well does the socio-ecological model of disaster recovery developed by the research team (Abramson et al. 2010) predict recovery across the three cohort studies?
• How do trajectories of long-term recovery differ among and within these sub-populations?
• How do the trajectories of recovery compare to those of mainstream populations?
• How do the effects of predisposing factors (such as poverty) and degree-of-impact (such as flooding depth) vary among the three sub-populations?
• How do interpretations of the disaster, resilience, and recovery differ among respondents?
• What are the determinants of long-term recovery in domains such as mental and physical health, socio-economic status, and community and social roles? How are these domains related to each other across individuals and across sub-populations?

This collection contains data from the Resilience in Survivors of Katrina (RISK) Project, which was a longitudinal study of low-income parents who lived in New Orleans at the time of Hurricane Katrina (August 2005). The initial study design was intended to increase educational attainment among college students, measuring economic status, social ties, and mental and physical health starting in 2003 (initial cohort n=1,019). However, with the aftermath of Hurricane Katrina, the research design evolved to study the consequences of a disaster for the lives of vulnerable individuals and their families. Follow-up surveys and in-depth qualitative interviews were conducted with participants at one year and five years post-Katrina, regardless of where participants lived.

The data in this collection is from the most recent survey follow-up with RISK Project participants (n=716), conducted between 2016 and 2018. A public-use version (DS1) and restricted-use version (DS2) are available. Open-ended responses and continuous variables for respondent age and total household income have been masked in the public-use version; these items are available in the restricted-use version.

The Long Beach Longitudinal Study (LBLS) was created in 1978 to obtain normative data for the Schaie-Thurston Adult Mental Abilities Test (STAMAT). From 1994 to 2003 it was extended under the guiding principle that cognitive aging is a largely contextual phenomenon. Individual differences in abilities and change in those abilities over adulthood are associated not only with cognitive mechanisms, but with sociodemographic phenomena such as birth cohort, or gender, and within-individual characteristics, including health, affect, self-efficacy, personality, and other variables that impact health. This principle is reflected in the testing measures added to the original panel. Besides the original ability measures used by Schaie, the Life Complexity Inventory, has been included in all testing. Because these measures were included in the later generations of testing, independent and direct comparisons can be made with Seattle Longitudinal Study (ICPSR 00158) to replicate findings and to generalize longitudinal samples.

Panel 1

The initial panel was sampled in 1978 and consisted of 65 adults aged 28-33 and 518 adults aged 55-84. This sample was tested using the STAMAT, as well as a 20-item list of common English nouns for testing free recall, and a brief essay to test text recall. In 1981, 264 participants from this sample were retested, 106 were again retested from 1994-1995, and 42 in 1997. Finally, 15 participants of the original sample were tested from 2000-2002 using additional tests adopted for the creation of a second panel, described below, as well as a test for measuring executive function.

Panel 2

In 1994, a second panel of 630 participants aged 30-97, a third of which were over 80, was added to the study. The testing for this sample included multiple indices of list recall, text recall, working memory, perceptual speed, and vocabulary for structural equation modeling. Assessment of language, autobiographical memory, personality, depression, health, health behaviors and other measures were also incorporated into the study. In 1997, 352 members of this second panel were retested. From 2000-2002, 179 participants of this second panel completed the 1994-1995 measures, as well as several tests extending the battery to indices of executive function. In 2003, 133 participants were retested.

Panel 3

A third sample was recruited during the 2000-2002 time frame consisting of 911 participants aged 30-98, again approximately a third of which were over the age of 80. In 2003, 513 members of this third panel were retested.

Datasets

The data are provided in 6 datasets.

1. Panel 1 and 2 1978 - 2003 Longitudinal File

   Dataset 1 is a longitudinal file of data from Panel 1 for tests performed in 1978, 1981, 1994, 1997, and 2000-2002, and data from Panel 2 for tests performed in 1994, 1997, 2000-2002 and 2003.

2. Panels 1 and 2 1994 STAMAT File

   Dataset 2 contains the STAMAT test variables for Panels 1 and 2.

3. Panel 1 and 2 1994-2000 Master Data Longitudinal File

   Dataset 3 is a second longitudinal file containing the complete catalog of variables from Panels 1 and 2 for test performed in 1994, 1997 and 2000.

4. Panel 2 Wave 1 1994 Cross File

   Dataset 4 contains variables for the first wave of Panel 2 which took place in 1994.

5. Panel 2 Wave 2 1997 Cross File

   Dataset 5 contains variables for the second wave of Panel 2 which took place in 1997.

6. Panel 3 Wave 1 2000 Master File

   Dataset 6 contains variables from the first wave of Panel 3 which took place in 2000.