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Musical training is popularly believed to improve children's cognitive ability. Early research evidence, mostly correlational, suggests that musicians outperform non-musicians on many cognitive abilities. However, recent experimental evidence has failed to replicate most benefits, leaving it unclear whether previously demonstrated effects were a direct result of learning music. While a few studies have shown some change with as little as a few weeks of training, the larger training literature shows that transfer of skills between unrelated areas is extremely rare, especially in properly controlled studies.

This study used an experimental design to assess the cause (whether music uniquely produces change) and the effect (which cognitive abilities are impacted) of the link between music and cognition. Six- to nine-year-old children (n=75) with no prior training were randomly assigned to three weeks of music or dance training. Cognitive performance before and after training was compared between trained groups, since both training forms share features of training, plus with a non-trained control group to isolate training-induced change from normal maturation. No changes were found on any measured ability (inhibitory control, working memory, task switching, processing speed, receptive vocabulary, and non-verbal intelligence).

Findings confirm evidence from the general training literature that training-induced improvements on cognitive performance are unlikely. Short-term training effects have a much narrower scope than previous evidence suggests.

This study sought to evaluate the functional independence in children at a Centers for Pediatric Rehabilitation Teleton (CRIT) facility in Guanajuato, Mexico through the use of the WeeFIM Instrument (0-3 Module). The dataset in this collection was generated in May 2013 from electronic health records for secondary analysis of de-identified data. The goal of CRIT, that this research sought to evaluate, was to improve social integration for children with disabilities in Mexico through comprehensive rehabilitation services, including physical therapy, occupational therapy, neurotherapy, speech therapy, physical and rehabilitation medicine, psychology, social integration, and school for parents.

The collection includes one dataset (35 variables, 5,993 cases). Demographic variables included in the collection: Age, gender, and city of residence.

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies.

The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases. A second wave of the survey was administered in 2018 through 2019, and a third wave of the survey was administered in 2021 through 2022.

Demographic information includes age, sex, income, education, marital status, number of children, and employment.

Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.

The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America, supported by the National Institute on Aging and the Social Security Administration.

The HRS aims to provide multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. The HRS includes the "original" HRS and the Asset and Health Dynamics Among the Oldest-Old (AHEAD) study. These studies were merged in 1998 and now represent the United States population over age 50. Two new cohorts were added in 1998: the Children of the Depression (born 1924-1930) and the War Babies (1942-1947). A fourth cohort, the Early Baby Boomers (1948-1953), was added in 2004; a fifth cohort, the Mid Baby Boomers (1954-1959), was added in 2010; and in 2016, the Late Baby Boomers cohort (1960-1965) became the sixth.

Questionnaire topics include physical and cognitive functioning, retirement plans, family structure and transfers, demographic characteristics, housing, employment status, income, disability, health insurance, pension plans, job history, and attitudes, preferences, and expectations for the future. The survey data are linked with administrative records from the Employer Pension Study (1993 and 1999), National Death Index, Social Security Administration earnings and projected benefits data and W-2 self-employment data, and Medicare files.

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.

Financial elder exploitation (FE) is an increasing problem for vulnerable elders exploited by opportunists and for the social service and criminal justice system designed to protect them. This study systematically investigated both objective and subjective measures of social support and isolation, along with common risk factors mentioned in FE theories, including dependency, physical health, depression, cognition, and demographic characteristics. Researchers collected data on individual difference variables with an emphasis on cognitive factors and data on contextual factors using an individually administered survey approach. The framework for this project was derived from known factors for FE, predicted protective factors for FE, and conceptual approaches from the child mistreatment literature on risk and resilience.

The study includes 1 SPSS data file with 216 cases and 297 variables.

The current study sought to examine the impact of select psychological, cognitive, professional experience and social network factors on police officers' decisions to use force. Additionally, the study examined the impact of a brief citizen education intervention (i.e. the completion of police officer training simulations) on citizens' attitudes toward police and use of force. All participants completed three training scenarios inside a firearms training simulator.

A sample of law enforcement officers and civilians took part in the study. Participants completed a series of questionnaires designed to measure, among other things:

• Positive and Negative Emotionality
• Need for Cognition
• Cognitive Reflection
• Professional experiences as a police officer (law enforcement participants only)
• Size of friendship networks within the workplace (law enforcement participants only)
• Perceptions of how their friendship networks would be impacted if the participant were to use excessive force (law enforcement participants only)
• Pre-post measures of attitudes toward police (civilian participants only)

In 1994/1995, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74. The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. A description of the study and findings from it are available at the MIDUS website.

With support from the National Institute on Aging, a longitudinal follow-up of the original MIDUS samples (core sample (N = 3,487), metropolitan over-samples (N = 757), twins (N = 957 pairs), and siblings (N = 950)) was conducted in 2004-2006. Guiding hypotheses, at the most general level, were that behavioral and psychosocial factors are consequential for health (physical and mental). The purpose of the Cognitive Project was to determine how cognition is related to overall mental and physical health. Specific goals were: (1) to characterize the nature and range of midlife cognitive performance, relative to those younger and older, across multiple domains in a nationally representative sample (MIDUS); and (2) to examine the relationship between biopsychosocial factors (e.g., SES, health status, health-promoting behaviors, metabolic and cardiovascular biomarkers, depression, personality, control beliefs, stressful life events) and individual differences in cognitive functioning.

The development of a cognitive battery for the second wave of testing of the Midlife Development in the United States (MIDUS) study provided an opportunity to examine the cognitive performance of young, middle-aged and older adults from a wide range of education levels in a large-scale, national sample. As part of the Cognitive Project of the MIDUS II the Brief Test of Adult Cognition by Telephone (BTACT) (Lachman & Tun, 2008; Tun & Lachman, 2006) was administered. More information about the BTACT can be found at the Brandeis website. The BTACT represents the first comprehensive cognitive battery, including measures of speed and reaction time, to be administered by telephone to a national sample across the adult years and into later life. With a response rate of over 86 percent for the cognitive testing component of the MIDUS II, a cognitive data set of unprecedented range in terms of age, gender, socioeconomic status (SES), education, and geographic diversity was produced.

In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 [ICPSR 2760]. The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. The study was innovative for its broad scientific scope, its diverse samples (which included siblings of the main sample respondents and a national sample of twin pairs), and its creative use of in-depth assessments in key areas (e.g. daily diary of stressful experiences [ICPSR 3725] and cognitive functioning [ICPSR 3596]) on a subset of participants. A detailed description of the study and findings generated by it are available at: http://www.midus.wisc.edu.

With support from the National Institute on Aging, a follow-up of the original Midlife Development in the United States (MIDUS) sample was conducted in 2004 (MIDUS 2 [ICPSR 4652]). The daily stress and cognitive functioning projects were repeated and expanded at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience.

In 2013 a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas such as economic recession experiences. Cognitive functioning data were also collected at the same time, while data collection for the daily diary, biomarker, and neuroscience projects commenced in 2017.

Data in this collection are related to MIDUS 3 [ICPSR 36346]. Data collection for the MIDUS 3 largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas (e.g., economic recession experiences, optimism and coping, stressful life events, and caregiving).

In 2013-2014, a second wave of cognitive assessments (Project 3) were carried out on individuals who had recently completed the MIDUS 3 phone survey (Project 1). This assessment, known as the Brief Test of Adult Cognition via Telephone (BTACT), was carried out approximately 9 years after the first wave of cognitive data collection was completed in 2004-2005. MIDUS 3 BTACT data were collected from 2,693 MIDUS 3 participants. Further, a second wave of cognitive assessments were also carried out on respondents to the MIDUS Milwaukee Wave 2 survey that was conducted in 2016-2017. BTACT data were collected from 330 Milwaukee respondents. Finally, BTACT data was collected in 2017 from another 268 respondents (called the Refielding sample) who did not complete this project during the M3 field period. This M3 BTACT dataset contains a total of 3,291 respondents. More details on the fielding of these cases can be found in the MIDUS field reports for the M3 survey [ICPSR 36346] and the Milwaukee 2 survey [ICPSR 37120].

The dataset includes 245 variables and 3,291 cases. Demographic variables in this collection include sex and age.

The MIDUS Refresher Daily Diary Project (aka National Study of Daily Experiences or NSDE) contains data from 782 respondents. The purpose of the Daily Stress Project was to examine how sociodemographic factors, health status, personality characteristics, and genetic endowment modify patterns of change in exposure to day-to-day life stressors as well as physical and emotional reactivity to these stressors.

The primary aims were:

1. To describe how the links between multiple aspects of daily stressors (e.g., frequency, content, severity) and daily physical and emotional well-being change over ten years during adulthood;
2. To examine how sociodemographic factors and personality characteristics influence change in both exposure to as well as changes in physical and emotional reactivity to daily stressors;
3. To investigate how exposure and reactivity to daily stressors correlate with physiological indicators of physical health and predict changes in global health reports; and
4. To explore the relative genetic and environmental influences mediating change in exposure and physical and emotional reactivity to daily stressors throughout adulthood.

The Daily Diary study is comprised of a subsample of the MIDUS (Midlife in the United States) Refresher, a national survey of nearly 3,600 Americans (aged 25 to 75) conducted during 2011-2014. The MIDUS Refresher survey was designed to replenish the original MIDUS 1 baseline cohort and allow the examination of period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS 1 sample with the post-recession MIDUS Refresher sample. Guiding hypotheses, at the most general level, were that behavioral and psychosocial factors are consequential for health (physical and mental).

Demographic variables in this collection include sex and age.

The National Health and Aging Trends Study (NHATS) began in 2011 and fosters research to guide efforts to reduce disability, maximize health and independent functioning, and enhance quality of life at older ages. NHATS aims to provide the basis for understanding trends in late-life functioning, how these differ for various population subgroups, and the economic and social consequences of aging and disability for individuals, families, and society.

NHATS gathers information on a nationally representative sample of Medicare beneficiaries ages 65 and older. The sample is refreshed periodically so that researchers may study national-level disability trends as well as individual trajectories. Annual, in-person interviews collect detailed information on the disablement process and its consequences.

The NHATS interview is guided by a conceptual framework that recognizes physical and cognitive capacity is distinct from the environment in which activities take place. Among the specific content areas included are: the physical, social, technological and service environment, physical and cognitive capacity, use of assistive devices and rehabilitation, help received with daily activities (self-care, household, and medical), participation in valued activities, and wellbeing. A last month of life interview focuses on quality of end of life care. Periodically caregivers of NHATS respondents are interviewed in the supplemental National Study of Caregiving (NSOC). Linkages to Medicare records are also available.

Content was developed by a multidisciplinary team of researchers from the fields of demography, geriatric medicine, epidemiology, health services research, economics, and gerontology. NHATS is being led by the Johns Hopkins University Bloomberg School of Public Health in collaboration with the University of Michigan, with data collection by Westat, and support from the National Institute on Aging.

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

• A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

• B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent.

• C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

• D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

• E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

• F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

• G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

• H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

• I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partnerfor the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

• J. Family Income. Family income also was identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Aid to Families with Dependent Children [AFDC], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

• K. Welfare Program Participation. This section gathered detailed information about AFDC and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current AFDC or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs.

• L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

• M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

• N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

• O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal child (or children). For household members who were born outside the United States, country of origin and citizenship questions were asked.

• P. Closing. At the end of the survey, respondents were asked their opinions about welfare and working and about raising children. Closing questions asked for the respondent's ZIP code and, in households with foreign-born individuals, tracing information for use in a follow-up survey.

The 1997 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset are administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, whether the home was owned or rented, and information pertaining to screeners and the completion of interviews.

7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder, children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

• A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

• B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. It also covered questions about the respondent's awareness of specific insurance programs such as Medicaid, and those associated with the Children's Health Insurance Program (CHIP).

• C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

• D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

• E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

• F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

• G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

• H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

• I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partner for the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

• J. Family Income. Family income also was identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Temporary Assistance for Needy Families [TANF], General Assistance, Emergency Assistance, vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

• K. Welfare Program Participation. This section gathered detailed information about TANF and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current TANF or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs. Additional questions were asked about respondent experiences in obtaining government assistance for child care and health insurance through Medicaid and CHIP, and receipt and/or the use of the Earned Income Tax Credit (EITC) in 1998.

• L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

• M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

• N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

• O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal children. For household members who were born outside the United States, country of origin and citizenship questions were asked.

• P. Closing. At the end of the survey, respondent's were asked their opinions about welfare and working and about raising children.The respondent's ZIP code and address were requested and tracing information was asked of households with families receiving welfare at any time since January 1997, for possible use in a follow-up survey.

The 1999 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset is administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, if the home was owned or rented, and information pertaining to screeners and the completion of interviews.

7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder,children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

• A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

• B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. It also covered questions about the respondent's awareness of specific insurance programs such as Medicaid, and those associated with the Children's Health Insurance Program (CHIP).

• C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

• D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

• E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

• F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

• G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

• H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

• I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partner for the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

• J. Family Income. Family income was also identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Temporary Assistance for Needy Families [TANF], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

• K. Welfare Program Participation. This section gathered detailed information about TANF and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current TANF or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs. Additional questions were asked about respondent experiences in obtaining government assistance for child care and health insurance through Medicaid and CHIP, and receipt and/or the use of the Earned Income Tax Credit (EITC) in any year between 1999 and 2002.

• L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

• M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

• N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

• O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal child (or children). For household members who were born outside the United States, country of origin and citizenship questions were asked.

• P. Closing. At the end of the survey, respondents were asked their opinions about welfare and working and about raising children. Respondents' ZIP code and address were also requested.

• The 2002 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

  1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

  2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

  3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

  4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

  5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

  6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset are administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, whether the home is owned or rented, and information pertaining to screeners and the completion of interviews.

  7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

  8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

  9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder, children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

The specific research aims were as follows:

• Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

• Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

• Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

• Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

• Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

• Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

• Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

309 data files were compiled for this study and are organized into 3 main groups:

1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables, along with site differences, were examined. A set of variables that were psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-42 of the study data material.

2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Datasets. These data files comprise Parts 43-55 of the study data material.

3. Raw Data Sets -- The raw data were made available and comprise Parts 56-309 of the study data material.

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

The specific research aims were as follows:

• Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

• Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

• Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

• Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

• Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

• Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

• Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

193 data files were compiled for this study and are organized into 3 main groups:

1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-24 of the study data material.

2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Data Sets. These data files comprise Parts 25-27 of the study data material.

3. Raw Data Sets -- The raw data were made available and comprise Parts 28-193 of the study data material.

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

The specific research aims were as follows:

• Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

• Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

• Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

• Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

• Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

• Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

• Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

504 data files were compiled for this study and are organized into 4 main groups:

1. Analytical Data Sets (ADS) -- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-49 of the study data material.

2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as a supplement to the original Analytical Data Sets. These data files comprise Parts 50-55 of the study data material.

3. Raw Census-Related Data Sets -- Files were produced using geocoded addresses for survey respondents to match block group level data from the 1990 and 2000 Censuses for investigators to create additional measures of interest from the geocoded addresses. These data files comprise Parts 56-58 of the study data material.

4. Raw Data Sets -- The raw data were made available and comprise Parts 59-505 of the study data material.

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

The overall purpose of this study was to examine the influence of variations in early childcare histories on the psychological development of infants and toddlers from a variety of family backgrounds. This general objective was addressed through a prospective, longitudinal study of the experiences of 1,364 children and their families, which took into account the complex interactions among child characteristics and those of the human and physical environments in which the children were reared.

The specific research aims were as follows:

• Examining the relationship between infants' childcare arrangements (defined in terms of hours, type, quality, and stability of care and the age at which the child entered care) and children's concurrent and long-term development. Specifically, the study investigated the association between children's experiences in childcare and their social, emotional, language, and cognitive development. The social-emotional assessments included measures of attachment, independence, compliance, behavior problems, prosocial and antisocial behavior, and general competence in interacting with peers. Cognitive variables include general developmental level and problem solving skills. Language assessments incorporated measures of children's expressive and receptive communicative competence.

• Examining whether the social ecology of the home moderates the effects of childcare, i.e., whether children from different home environments are differentially affected by similar childcare experiences. The study examined the moderating effects of parents' values and attitudes, psychological adjustment and mental health, stress and social support, child-rearing practices, time use, interactions with the child, the marital relationship, and family demographics.

• Examining whether individual differences among children moderate the effects of infant care on child development. The study examined the moderating effects of such child characteristics as age, sex, health, birth order, and temperament.

• Identify demographic and family characteristics associated with families' childcare decisions. The study examined whether specific childcare arrangements are related to the parents' social class, marital status, psychological adjustment and personality, child-rearing values and attitudes, parenting practices, stress, social support, marital relationship, and the availability of childcare in the community.

• Provide a natural history of infant care in the 1990s, and help establish a baseline of data pertaining to the kinds of care being used by families. Whereas other national databases, such as those provided by the United States Census Bureau, provide static estimates of the number of children in different types of childcare, this network study supplements that knowledge with longitudinal data on successive enrollments into day care at various ages, patterns of arrangements used concurrently and over time, and the stability of arrangements during the first three years of life. One of the most valuable aspects of the collaborative study is the opportunity it provides to obtain a more complete and accurate picture of patterns of infant care used by families today. Census surveys use only gross categories of care (e.g., center vs. in-home). In this study, more fine-grained information regarding the types of centers and home-care facilities was gathered.

• Examine the consequences for families of maternal employment and childcare choices. Family relationships, parental mental health, family stress, and so on, are not just inputs to child development or moderators of childcare effects, they are also outcomes. High-quality childcare may alleviate family stress and enhance parental adjustment. Low-quality childcare may add to the stress parents experience. Although the main focus in the study was on the effect of childcare on the child, the study also examined the effect of childcare on the family.

• Identify demographic characteristics of childcare associated with childcare quality. Of interest to policy makers is another aspect of the study, the investigation of those regulatory characteristics that predict care of higher quality. These characteristics included the level and type of caregiver training, the size of the childcare group, the auspices of the childcare program (public/private, profit/nonprofit, independent/chain, employer-sponsored/church-based), whether the facility was licensed or unlicensed, the level of payment and fees, and whether the caregiver was a relative of the family.

158 data files were compiled for this study and are organized into 4 main groups:

1. Analytical Data Sets (ADS)-- The raw data were examined and composites defined by small groups of individual principal investigators according to the demographic, family, childcare, and child outcome content of the data. The psychometric and distributional qualities of the variables along with site differences were examined. A set of variables that was psychometrically and distributionally acceptable to be used in analytic analyses was designed to test the study hypotheses. These data files comprise Parts 1-19 of the study data material.

2. Supplemental Data Sets -- New and revised analysis variables as well as across-time mean scores and primary composites were produced as supplements to the original Analytical Data Sets. These data files are Parts 20-26 of the study data material.

3. Raw Census-Related Data Sets -- Files were produced using geocoded addresses for survey respondents to match block group-level data from the 1990 and 2000 Censuses for investigators to create additional measures of interest from the geocoded addresses. These data files comprise Parts 27-30 of the study data material.

4. Raw Data Sets -- The raw data were made available and comprise Parts 31-158 of the study data material.

Included in this phase of the study are the output of several third-party software programs that were used during Phases II, III and IV to collect data for specific tasks or activities. These programs produced one output data file per subject, which were combined to produce some of the raw data files for those studies. The original program output is included as expanded documentation in this phase of the study.

A three-day summer training workshop on the SECCYD was put on by NICHD at the Inter-University Consortium for Political and Social Research in Ann Arbor, Michigan in 2010. The binder from that workshop, which includes the Powerpoint slides used during presentations, are freely available to the public as part of the study documentation.

This supplement to the longitudinal survey Panel Study of Income Dynamics (PSID) focuses on child development, and covers such topics as school progress, academic achievement and cognitive ability, social well-being, emotional well-being, and health. The Child Development Supplement (CDS) was launched in 1997 with a cohort of children aged 0-12 years, with follow-up waves in 2002 and 2007. The CDS in 2014 and 2019 collected information on the next generation of PSID children aged 0-17 years in each wave.

Detailed variable-level descriptions for CDS-2020 and CDS-2021, which enable data discovery and comparison, are available through Panel Study of Income Dynamics (PSID): Child Development Supplement, 2020-2021 (ICPSR 39179).

This study is largely exploratory and observational, with the main goals to understand (a) how cognitions change across time, (b) which cognitions are related to each other, and (c) which cognition measures are related to recidivism. Employing a two-phase program of research, this study sought to answer several research questions about the relationship between cognitions and desistance from crime:

1. What cognitions do probationers self-identify as key beliefs that motivate their desire to desist from crime?
2. What are the psychometric properties of newly developed standardized measures designed to assess desistance cognitions?
3. Do probationers differ in their crime and desistance cognitions and, on average, do these cognitions change across time?
4. How are crime and desistance cognitions related to official-record assessment and outcome data? Specifically, are there associations between self-reported cognitions and risk and strength factors rated by supervision officers?
5. Do crime and desistance cognitions predict future revocations and arrests as hypothesized by rational choice, correctional psychology, and / or desistance theories?

Variables include offender's self-report of their personal perception on the costs and benefits of crime, costs and benefits of attempting to stay crime-free, attitudes, impulsive traits, and emotions. A demographic variable is available: participant gender.

The Vietnam Era Twin Study of Aging (VETSA) projects began in 2002 with the goal of understanding risk and protective factors, including genetics, for cognitive and brain aging starting in midlife. This NIH funded longitudinal study has completed three waves of data collection (2002-2008; 2008-2014, 2015-2020) following the same group of non-patient, community dwelling male veteran twins from when they were average age 56 to average age 68. A fourth wave of data collection began in October 2021. Although the men are American veterans, this is not a VA sample. This is a nation-wide sample with participants flown into sister data collection sites at either University of California San Diego or Boston University.

The VETSA study encompasses multiple linked grants and data collections with two studies funded continuously since 2002--The VETSA Longitudinal Twin Study of Cognition and Aging and The VETSA Longitudinal MRI Twin Study of Aging. Because of the broad interests of the investigators, while study data focus most heavily on in-person cognitive testing, a wide array of psychosocial, demographic, medical history, physical functioning, and personality measures were also collected. While some measures were only collected at baseline, the majority are repeated at every data collection.

At each wave of data collection, participants completed a lengthy psychosocial questionnaire at home then came to the testing site for a full day (~8 hrs) of in-person testing. Participants were housed for either 2 nights if only part of VETSA aging or 3 nights if they qualified for the MRI data collection.

The Wisconsin Longitudinal Study (WLS) is a long-term study of a random sample of 10,317 men and women who graduated from Wisconsin high schools in 1957. The WLS provides an opportunity to study the life course, intergenerational transfers and relationships, family functioning, physical and mental health and well-being, and morbidity and mortality from late adolescence through 2025. WLS data also cover social background, youthful aspirations, schooling, military service, labor market experiences, family characteristics and events, social participation, psychological characteristics and retirement.

Survey data were collected from the original respondents (the graduates) in 1957, 1964, 1975, 1992, 2004, 2011, 2020 and 2022; from their parents in 1957 and 1964; from a selected sibling in 1977, 1994, 2005, 2011, 2020 and 2022; from the spouse of the original respondent in 2004; and from the spouse of the selected sibling in 2006.

The collection of cognitive function data among graduates and siblings under the ILIAD study (MPIS: Sanjay Asthana, Michal Engelman, and Pamela Herd) began in 2020 to measure risk and resilience of Alzheimer's disease and related dementia (ADRD) as the cohort reaches their 80s. Data from 2020 and 2022 have been released, and 2025 and 2027 wave releases are forthcoming.

The WLS also has extensive administrative linkages, including with the 1940 and 1950 census, Social Security records, voting participation, and Medicare claims data.