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The 500 Family Study was designed to obtain in-depth information on middle class, dual-career families living in the United States. To understand the complex dynamics of today's families and the strategies they use to balance the demands of work and family, over 500 families from 8 cities across the United States were studied. To address different issues facing parents with older and younger children, families with adolescents and families with kindergartners were included in the sample. Working mothers and fathers are now splitting their time between their responsibilities to their family, and to their respective occupations. This study of 500 families explores how work affects the lives and well-being of parents and their children.

The study's data allows researchers to explore a broad range of questions:

• How do dual-career families manage and organize their resources and time between family and work?
• How do work conditions, including characteristics of the job and workplace environment, affect the quality of relationships among household members?
• How do dual career parents manage the moral and social development and learning experiences of their children?
• How do the work-related responsibilities of working parents affect their child's moral, social, and educational development?
• What effect is consumerism and technology having on how working families direct the moral and social development of their children?
• What do parents believe is their role regarding the child-care of their children and how they should fulfill that role both in terms of time and in the allocation of economic and social resources? What are some of the resources in the community that parents use to supervise their children?
• How do families regard the "free time" of adolescents and how they allocate adolescent "free time" in maintenance of the household?
• What is the quality of relationships among family members?

To obtain a detailed picture of work and family life, mothers, fathers, and their children were asked to complete a series of instruments including surveys, in-depth interviews, and time diaries. These instruments were designed to provide information about work, marriage, child care and parental supervision, management of household tasks, time allocations, coping strategies, and psychological well-being.

The four datasets associated with this data collection are summarized below:

1. The Cortisol Data contains information for a subsample of families that elected to participate in a study of psychological stress. Parents and teenagers who agreed to participate completed an additional two days of ESM data collection. The health survey that was administered reported on a variety of health and lifestyle issues that might affect cortisol (stress hormone) levels such as medication use, consumption of caffeine and alcohol, use of nicotine, timing of menstrual cycle, pregnancy, presence of chronic illness, and respondent's height and weight. Additionally, parents reported on the health of the children (teenagers and kindergartners) participating in the study.
2. The Experience Sampling Method (ESM) Data contains a variety of information related to how individuals spend their time, who they spent it with, and what activities they were engaged in over the course of a typical week. Respondents wore programmed wrist watches that emitted signals (beeps) throughout the day. When possible, family members were placed on identical signaling schedules to provide information on a range of family activities. At the time of each beep, participants were asked to complete a self-report form which asked them to answer a number of open-ended questions about their location, activities, who they were with, and psychological states. Several Likert and semantic-differential scales were used to assess participants' psychological states.
3. The Parent Data contains basic demographic information from respondents as well as detailed information about parents' occupation job duties, income, work schedule, benefits (e.g., medical care, flexible work schedules, and family leave), and the consequences of their jobs (e.g. long hours, job stress, having to work weekends). Additionally, the data contain information about the extent to which parents experienced work-family conflict and what changes might help with better balance of the demands of work and family (e.g., more flexible work hours, more help from spouses with household and child care responsibilities, improved child care, and after-school care arrangements). Parental attitudes toward traditional arrangements, how household tasks were actually divided among family members, and how often the family paid for services (e.g., cleaning, yard work, meal preparation) were also captured. The data also contain information about how children are socialized in families with two working parents. Topics about the frequency with which parents engaged in various activities with their children (e.g., talking, eating meals together, attending religious services), how frequently parents monitored their teenager's activities, and how often they talked with their teenager about school activities, plans for college, career plans, friendships, and peer pressure.
4. The Adolescent Data contains data for sixth through twelfth graders, which focuses on family relationships and experiences, school experiences, paid work, psychological well-being and behavioral problems, and plans for the future (e.g., college, career, and marriage -- including expectations regarding spouses' sharing of responsibility for child care, cooking, chores, and paid work). To allow for comparison of parents' and adolescents' responses to similar questions, several items appear in both the adolescent and parent data. These items include the frequency with which parents and adolescents discuss school events, college and career plans, participation in religious and other activities, gender role attitudes and the division of household tasks within the family, and items measuring depression, stress, and anxiety.

Qualitative Data -- Interviews The main purpose of the interviews was to explore topics addressed in the parent and adolescent surveys in greater detail. Parent interviews were designed to examine how working parents cope with the demands of work and family life. Adolescent interviews touched on similar themes but altered questions to gauge the adolescent's perceptions of their parents work and family lives. Kindergartner interviews were brief and focused on children's after-school and child care arrangements and time spent with parents.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from YYYY. The cases consist of initial ED visits for treatment of the injuries.

The NEISS-FISS is designed to provide national incidence estimates of nonfatal firearm injuries treated in U.S. hospital EDs. Data on injury-related visits are obtained from a national sample of NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24- hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer- related products in CPSC's jurisdiction to include all firearm injuries. The data can be used to (1) measure the magnitude and distribution of nonfatal firearm injuries in the United States; (2) monitor unintentional and violence-related nonfatal firearm injuries over time; (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. The final edited data will be released annually as public use data files for use by other public health professionals and researchers.

These public use data files provide NEISS-FISS data on nonfatal injuries collected from January through December each year.

NEISS-FISS is providing data on over 100,000 estimated cases annually. Data obtained on each case include age, race/ethnicity, sex, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, intent of injury (e.g., unintentional, assault, self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding rules and guidelines.

Users are cautioned against using estimates with wide confidence intervals to make conclusions about point estimates. Firearm injuries have distinct geographic patterns and estimates can be imprecise or change over time when based on a small number of facilities.

NEISS has been managed and operated by the U.S. Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all U.S. residents. These product- related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1992, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm- related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in- line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC.

In July 2000, NCIPC, in collaboration with CPSC, expanded NEISS to collect data on all types and causes of injuries treated in a representative sample of hospitals. This system is called the "NEISS All-Injury Program (NEISS-AIP)". These data provide the basis for national estimates of all types of nonfatal injuries treated in hospital emergency departments in the United States.

Beginning in 2019, CPSC initiated a redesign of the NEISS sample to update the sampling frame. The redesign includes adding and replacing hospitals. The redesign includes a resample based on more recent hospital information from the American Hospital Association, including the list of hospitals by hospital type. The prior sample was drawn in 1997. The NEISS sample goal is 100 hospitals; hospital recruitment and onboarding are ongoing. CDC and CPSC are continuing to release injury data while the onboarding is underway.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 2023. The cases consist of initial ED visits for treatment of the injuries.

The NEISS-FISS is designed to provide national incidence estimates of nonfatal firearm injuries treated in U.S. hospital EDs. Data on injury-related visits are obtained from a national sample of NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24- hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer- related products in CPSC's jurisdiction to include all firearm injuries. The data can be used to (1) measure the magnitude and distribution of nonfatal firearm injuries in the United States; (2) monitor unintentional and violence-related nonfatal firearm injuries over time; (3) identify emerging injury problems; (4) identify specific cases for follow-up investigations of particular injury-related problems; and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. The final edited data will be released annually as public use data files for use by other public health professionals and researchers.

These public use data files provide NEISS-FISS data on nonfatal injuries collected from January through December each year.

NEISS-FISS is providing data on over 100,000 estimated cases annually. Data obtained on each case include age, race/ethnicity, sex, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, intent of injury (e.g., unintentional, assault, self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding rules and guidelines.

Users are cautioned against using estimates with wide confidence intervals to make conclusions about point estimates. Firearm injuries have distinct geographic patterns and estimates can be imprecise or change over time when based on a small number of facilities.

NEISS has been managed and operated by the U.S. Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all U.S. residents. These product- related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1992, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm- related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in- line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC.

In July 2000, NCIPC, in collaboration with CPSC, expanded NEISS to collect data on all types and causes of injuries treated in a representative sample of hospitals. This system is called the "NEISS All-Injury Program (NEISS-AIP)". These data provide the basis for national estimates of all types of nonfatal injuries treated in hospital emergency departments in the United States.

Beginning in 2019, CPSC initiated a redesign of the NEISS sample to update the sampling frame. The redesign includes adding and replacing hospitals. The redesign includes a resample based on more recent hospital information from the American Hospital Association, including the list of hospitals by hospital type. The prior sample was drawn in 1997. The NEISS sample goal is 100 hospitals; hospital recruitment and onboarding are ongoing. CDC and CPSC are continuing to release injury data while the onboarding is underway.

The Head Start Family and Child Experiences Survey (FACES) is an ongoing national longitudinal study of the cognitive, social, emotional, and physical development of Head Start children. It examines the characteristics, well-being, and accomplishments of families, the observed quality of Head Start classrooms, and the characteristics and opinions of Head Start teachers and other program staff. FACES was designed to address four central questions related to program performance objectives:

1. Does Head Start enhance children's development and school readiness?
2. Does Head Start strengthen families as the primary nurturers of their children?
3. Does Head Start provide children with high quality educational, health, and nutritional services?
4. How is classroom quality related to child outcomes?

The FACES 1997 Cohort involved a nationally representative sample of children and families in Head Start programs in the United States who were studied at entry into the program in the fall of 1997, assessed in the spring at the completion of one or two years of Head Start, and followed up in the spring of the kindergarten and first grade years. During these visits, the research team completed individual interviews with staff and parents, child and classroom observations, direct child assessments through one-on-one interviews, and indirect assessments of children by their teachers and parents.

The data collection instruments used in FACES were designed to measure several different types of skills, accomplishments, and behaviors that are relevant to a child's school readiness and social competence:

1. The parent interview was designed to collect up-to-date information about current Head Start families while being sensitive to differences based on the background of the respondents. The interview provided descriptive information about the parents (education, work status, health, nativity, depression, social support, use of discipline and rules, exposure to violence), the household (income, housing, activities with children, use of child care), and the children (gender, ethnicity, health, behavior, literacy skills, disabilities, exposure to violence). Additionally, parents reported how their families came to Head Start and how they perceived their Head Start experiences.
2. The staff interview was designed to provide a profile of the background, qualifications, and training of Head start personnel as well as an understanding of classroom activities, family activities, services, local programs offered to families, and staff perspectives on their programs and the families they served.
3. The child and classroom observations were designed to record information from the observations of children's behavior and home environments. Some of the assessments used included Peabody Picture Vocabulary Tests (PPVTs), Woodcock-Johnson Revised Tests of Achievement, Norm Referenced Cognitive Tests, Story and Print Concepts, and McCarthy Scales of Children's Abilities.

The Head Start Family and Child Experiences Survey (FACES) is an ongoing national longitudinal study of the cognitive, social, emotional, and physical development of Head Start children. It examines the characteristics, well-being, and accomplishments of families, the observed quality of Head Start classrooms, and the characteristics and opinions of Head Start teachers and other program staff. FACES was designed to address four central questions related to program performance objectives:

1. Does Head Start enhance children's development and school readiness?
2. Does Head Start strengthen families as the primary nurturers of their children?
3. Does head Start provide children with high quality educational, health, and nutritional services?
4. How is classroom quality related to child outcomes?

The FACES 2000 Cohort involved a nationally representative sample of children and families in Head Start programs in the United States who were studied at entry into the program in the fall of 2000, assessed at the completion of one or two years of program experience, and followed up in the spring of the kindergarten year. The FACES 2000-2003 battery has four main components: the child assessment, parent interview, teacher and staff interviews, and classroom observations.

1. The child assessments included the major components of school readiness, and were collected through direct child assessments and rating scales completed by parents and teachers. Direct child assessments included the Peabody Picture Vocabulary Test Third Edition-Revised (PPVT-III), Woodcock-Johnson Psycho-Educational Battery-Revised, McCarthy Scales of Children's Abilities, story and print concepts, social awareness, color names and one-to-one counting, Leiter International Performance Scale-Revised, interview ratings, and follow-up Early Childhood Longitudinal Study-Kindergarten (ECLS-K) measures.

2. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the characteristics of households and household members, levels and types of participation in the program and in other community services, involvement with their children, and an understanding of their children's development. In addition to this, parents were asked to rate each child on a set of behaviors that assessed the child's basic social skills and behavior problems.

3. The teacher and staff interview was designed to provide information on Head Start personnel experience, education, and training as well as knowledge and beliefs about child development, and educational activities with children and parents.

4. The classroom observations were designed to measure peer interactions, friendships of children, and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. Some of the assessments used included the Assessment Profile, Early Childhood Environment Rating Scale-Revised (ECERS-R), classroom observation of teacher-directed activities, and the Arnett Caregiver Interaction Scale.

The Head Start Family and Child Experiences Survey (FACES) is an ongoing national longitudinal study of the cognitive, social, emotional, and physical development of Head Start children. It examines the characteristics, well-being, and accomplishments of families, the observed quality of Head Start classrooms, and the characteristics and opinions of Head Start teachers and other program staff. FACES was designed to address four central questions related to program performance objectives:

1. Does Head Start enhance children's development and school readiness?
2. Does Head Start strengthen families as the primary nurturers of their children?
3. Does head Start provide children with high quality educational, health, and nutritional services?
4. How is classroom quality related to child outcomes?

The FACES 2003 Cohort involved a nationally representative sample of children and families in Head Start programs in the United States who were studied at entry into the program in the fall of 2003, assessed at the completion of their program experience, and followed up at the end of their kindergarten year. The FACES 2003 battery has five main components: the child assessment, parent interview, teacher and staff interviews, classroom observations and teacher-child reports.

1. The child assessments included the major components of school readiness, and were collected through direct child assessments and rating scales completed by parents and teachers. Some of the direct child assessments included the Peabody Picture Vocabulary Test Third Edition-Revised (PPVT-III), Woodcock-Johnson Psycho-Educational Battery-Revised, McCarthy Scales of Children's Abilities, story and print concepts, social awareness, color names and one-to-one counting and assessor ratings.

2. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the characteristics of households and household members, levels and types of participation in the program and in other community services, involvement with their children, and an understanding of their children's development. In addition to this, parents were asked to rate each child on a set of behaviors that assessed the child's basic social skills and behavior problems.

3. The teacher and staff interview was designed to provide information on Head Start personnel experience, education, and training as well as knowledge and beliefs about child development, and educational activities with children and parents.

4. The classroom observations were designed to measure peer interactions, friendships of children, and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. Some of the assessments used included the Assessment Profile, Early Childhood Environment Rating Scale-Revised (ECERS-R), classroom observation of teacher-directed activities, and the Arnett Caregiver Interaction Scale.

5. The teacher-child report was designed to capture important sources of information about children's learning and behavior through the use of the Teacher-Child Report (TCR), social skills ratings, the Behavior Problems scale and the Preschool Learning Behavior Scale (PLBS).

The Head Start Family and Child Experiences Survey (FACES) is a periodic, ongoing longitudinal study of program performance. Successive nationally representative samples of Head Start children, their families, classrooms, and programs provide descriptive information on the population of children and families served; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and child and family outcomes. FACES includes a battery of child assessments across multiple developmental domains (cognitive, social, emotional, and physical).

For nearly a decade, the Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study is designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include:

1. What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed?
2. What are the experiences of families and children in the Head Start program? How have they changed?
3. What are the cognitive and social skills of Head Start children at the beginning and end of their first year in the program? Has Head Start program performance improved over time?
4. Do the gains in cognitive and social skills that Head Start children achieve carry over into kindergarten? Do larger gains (or greater declines in problem behavior) translate into higher achievement at the end of kindergarten?
5. What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start?
6. What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains?

FACES also supports analyses of subgroups of interest, such as children with disabilities, dual language learners, and children who are performing above or below average on standardized assessments. Its design changes in response to emerging policy and research questions. For example, in response to the growing concern about childhood obesity, measures of children's height and weight were introduced in FACES 2006.

Measures for FACES 2006 were selected to balance the need to support comparisons to previous cohorts of FACES (particularly with respect to program performance measures) against the need to update the measurement battery and address emerging policy issues and benefits from progress in the assessment field. Many of the measures used in FACES 2006 were included in previous cohorts and they are presented below by the five major measurement sources in FACES: (1) child direct assessments; (2) parent interviews; (3) teacher interviews and survey; (4) classroom observations; and (5) program director, center director, and education coordinator interviews.

1. The child direct assessments included the major components of school readiness. They included a language screener, the Peabody Picture Vocabulary Test, Fourth Edition/Test de Vocabulario de Imagines Peabody, subtests from the Woodcock-Johnson Tests of Achievement Third Edition/Bateria III Woodcock-Munoz (letter word identification, applied problems, spelling, and word attack), a measure of early math literacy based on items from the Early Childhood Longitudinal Study, Birth and Kindergarten Cohorts math assessments (geometry, patterns, and measurement), story and print concepts, and physical measurements (height and weight). At the end of the direct child assessment, interviewers rate the child's attention, organization/impulse control, activity level, and sociability using items from the Leiter-R scales.
2. The parent interview was designed to provide Head Start with a comprehensive understanding of the families that they serve, including the demographic characteristics of households and household members, parent-child relationships and the quality of the child's home life, and parent ratings of the child's behavior problems, social skills, and competencies, levels and types of participation in the program and in other community services.
3. The Head Start teacher interview was designed to collect information about classroom and teacher characteristics related to the quality of care provided by Head Start programs. Teachers were asked about their classroom activities and use of curricula, as well as their demographic and educational background and professional experience. They also used a Web survey to rate the social skills, problem behaviors, and competencies of each FACES child in their classroom. Kindergarten teachers provided information about schools attended by Head Start children, their classrooms and school experiences using a Web survey. They also completed ratings of each FACES child's social skills, behavior problems and competencies.
4. The classroom observations were designed to measure peer interactions and the extent to which Head Start programs employed skilled teachers and provided developmentally appropriate environments and curricula for their children. The measures used included the Early Childhood Environment Rating Scale-Revised (ECERS-R), the Arnett Scale of Lead Teacher Behavior, and the Instructional Support scale from the Classroom Assessment Scoring System (CLASS). Counts of children and adults were also taken to calculate group size and child-adult ratios.
5. The Program Director, Center Director, and Education Coordinator Interviews gathered information about staffing and recruitment, teacher education initiatives and training, waiting lists and program expansion, classroom activities, curriculum, overview of program management, and parent involvement.

The User Guide provides detailed information about the FACES 2006 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices.

• Appendix A -- Copyright Statements
• Appendix B -- Instrument Content Matrices
• Appendix C -- Questionnaires
• Appendix D -- Center/Program Codebook
• Appendix E -- Classroom/Teacher Codebook
• Appendix F -- Child Codebook
• Appendix G -- Description of Constructed/Derived Variables

The Head Start Family and Child Experiences Survey (FACES) is a periodic, ongoing longitudinal study of program performance. Successive nationally representative samples of Head Start children, their families, classrooms, and programs provide descriptive information on the population of children and families served; staff qualifications, credentials, and opinions; Head Start classroom practices and quality measures; and child and family outcomes. FACES includes a battery of child assessments across multiple developmental domains (cognitive, social, emotional, and physical). FACES 2009 is the latest FACES cohort study and followed children from Head Start entry in fall 2009 through one or two years of program participation and to kindergarten.

For nearly a decade, the Office of Head Start, the Administration for Children and Families, other federal agencies, local programs, and the public have depended on FACES for valid and reliable national information on (1) the skills and abilities of Head Start children, (2) how Head Start children's skills and abilities compare with preschool children nationally, (3) Head Start children's readiness for and subsequent performance in kindergarten, and (4) the characteristics of the children's home and classroom environments. The FACES study is designed to enable researchers to answer a wide range of research questions that are crucial for aiding program managers and policymakers. Some of the questions that are central to FACES include:

1. What are the demographic characteristics of the population of children and families served by Head Start? How has the population served by Head Start changed?
2. What are the experiences of families and children in the Head Start program? How have they changed?
3. What are the cognitive and social skills of Head Start children at the beginning and end of their first year in the program? Has Head Start program performance improved over time?
4. Do the gains in cognitive and social skills that Head Start children achieve carry over into kindergarten? Do larger gains (or greater declines in problem behavior) translate into higher achievement at the end of kindergarten?
5. What are the qualifications of Head Start teachers in terms of education, experience, and credentials? Are average teacher education levels rising in Head Start?
6. What is the observed quality of Head Start classrooms as early learning environments, including the level and range of teaching and interactions, provisions for learning, emotional and instructional support, and classroom organization? How has quality changed over time? What program- and classroom-level factors are related to observed classroom quality? How is observed quality related to children's outcomes and developmental gains?

In response to recent trends and mandates, FACES 2009 expanded the information collected on families and children who speak a primary language other than English and the information collected on children who are homeless. Earlier cohorts of FACES gathered information on the languages spoken in the home and used for classroom instruction. Given the growth in the population of Hispanic/Latino preschoolers (Hernandez 2006), FACES 2009 placed additional emphasis on Dual Language Learners (DLLs). In addition, given the 2007 Head Start Act's focus on children and families who are homeless, FACES 2009 expanded coverage on the enrollment of such children, how the program ensures that they enroll in Head Start, and the special services available to such children and their families.

FACES 2009 carefully balanced the need for consistent measurement of outcomes against the need for improvements in instrumentation and techniques. In some instances, new instruments were added to obtain more comprehensive information on Head Start children. For example, the Expressive One-Word Picture Vocabulary Test was added to assess children's expressive language, which is related to later reading achievement even more so than receptive language (National Early Literacy Panel 2008). A measure of phonemic awareness from the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B) preschool wave was also added to assess children's knowledge of beginning and ending sounds in words. Further, FACES 2009 included a direct assessment of executive functioning-a pencil tapping task to examine children's inhibitory control, working memory, and attention-which has been shown to relate to young children's development in mathematics, vocabulary, and literacy (Blair and Razza 2007; Espy et al. 2004; McClelland et al. 2007).

The User Guide provides detailed information about the FACES 2009 study design, execution, and data to inform and assist researchers who may be interested in using the data for future analyses. The following items are provided in the User Guide as appendices.

• Appendix A - Copyright statements
• Appendix B - Instrument Content Matrices
• Appendix C - Questionnaires
• Appendix D - Center/Program Codebook
• Appendix E - Classroom/Teacher Codebook
• Appendix F - Child Codebook
• Appendix G - Description of Constructed/Derived Variables

The Housing and Children's Healthy Development (HCHD) Study included four main aims:

1. to learn how parents make choices about where to live while negotiating tradeoffs between dwelling unit quality, neighborhood quality, and school quality;
2. to assess how features of the child's social contexts--home, neighborhood, and school--combine to influence key cognitive, socio-emotional, and health outcomes among parents and their children;
3. to examine how the quality of housing affects parenting practices and outcomes for children and their caregivers; and
4. to enhance the study of child development through theoretical and methodological advances in the study of housing and the other social contexts related to housing.

For this collection, the study team conducted Wave 1 data collection with families in Cleveland, Ohio (Cuyahoga County) and Dallas, Texas, United States, using a randomized controlled trial design. One-half of the sample was an experimental sample consisting of applicants for a federal housing voucher, including both voucher winners (treatment group) and voucher losers (control group). The other half of the sample was generated through a random selection and screening process in census blocks that varied by household income weighted toward lower-income blocks.

Interviews were conducted with primary caregivers, lasting about 90 minutes, and included the collection of anthropometric measures from primary caregivers and children and administration of Woodcock-Johnson tests to children. Primary caregiver voucher sample participants were asked for three blood pressure measurements, and blood spots were collected from voucher sample primary caregivers and children. The data collection also includes laser tape measurement of all rooms in a household, 8 block face neighborhood observations, and post-interview observations. Four-day leave-behind child time diary data were collected but are not available.

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 Longitudinal Study of Generations (LSOG), initiated in 1971, began as a survey of intergenerational relations among 300 three-generation California families with grandparents (then in their sixties), middle-aged parents (then in their early forties), and grandchildren (then aged 15 to 26). The study broadened in 1991 and now includes a fourth generation, the great-grandchildren of these same families.

The LSOG, with a fully elaborated generation-sequential design, allows comparisons of sets of aging parents and children at the same stage of life but during different historical periods. These comparisons make possible the investigation of the effects of social change on inter-generational solidarity or conflict across 35 years and four generations, as well as the effects of social change on the ability of families to buffer stressful life transitions (e.g., aging, divorce and remarriage, higher female labor force participation, changes in work and the economy, and possible weakening of family norms of obligation), and the effects of social change on the transmission of values, resources, and behaviors across generations.

The LSOG contains information on family structure, household composition, affectual solidarity and conflict, values, attitudes, behaviors, role importance, marital relationships, health and fitness, mental health and well-being, caregiving, leisure activities, and life events and concerns. Demographic variables include age, sex, income, employment status, marital status, socioeconomic history, education, religion, ethnicity, and military service.

The codebook for dataset 1 (DS1 Waves 1-7) is over 5000 pages long; due to complications related to the size of this document, the search function within the PDF is not yet enabled. Users seeking specific variables should use the search function within the PI Codebook, or search using the variables search tab/option from the study page.

This study includes public user data files of two waves of interviews with L.A.FANS respondents. There often are multiple respondents in L.A.FANS households and Wave 2 includes both panel respondents and a new sample. Users' Guides which explain the design and how to use the sample are available for Wave 1 and Wave 2 at the RAND website.

The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a two-wave study of adults and children in Los Angeles County and of the neighborhoods in which they live. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the RAND website.

Additional information on the project, survey design, sample, and variables are available from:

• Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024
• The Users' Guides (Wave 1 and Wave 2)
• RAND Documentation Reports page

This study includes public user data files of two waves of interviews with L.A.FANS respondents. There often are multiple respondents in L.A.FANS households and Wave 2 includes both panel respondents and a new sample. Users' Guides which explain the design and how to use the sample are available for Wave 1 and Wave 2 at the RAND website.

The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a two-wave study of adults and children in Los Angeles County and of the neighborhoods in which they live. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the RAND website.

Additional information on the project, survey design, sample, and variables are available from:

• Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024
• The Users' Guides (Wave 1 and Wave 2)
• RAND Documentation Reports page

The Midlife in the United States (MIDUS) is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. A description of the study and findings from it are available at http://www.midus.wisc.edu.

The first wave of the MIDUS study (MIDUS 1 or M1) collected survey data from a total of 7,108 participants. The baseline sample was comprised of individuals from four subsamples: (1) a national RDD (random digit dialing) sample (n=3,487); (2) oversamples from five metropolitan areas in the U.S. (n=757); (3) siblings of individuals from the RDD sample (n=950); and (4) a national RDD sample of twin pairs (n=1,914). All eligible participants were non-institutionalized, English-speaking adults in the coterminous United States, aged 25 to 74.

Data from the samples were collected primarily in 1995/96. The survey (Project 1) dataset contains responses from a 30-minute Phone interview and two 50-page Self-Administered Questionnaire (SAQ) instruments. Of the 7,108 respondents who completed the Phone interview, 6,325 also completed the SAQ.

This updated version of the study is comprised of three primary datasets:

Dataset 1, Main, Siblings, and Twin Data, contains responses from the main survey of 7,108 respondents. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. Those queried were asked to describe their histories of physical ailments, including heart-related conditions and cancer, as well as the treatment and/or lifestyle changes they went through as a result. A series of questions addressed alcohol, tobacco, and illegal drug use, and focused on history of use, regularity of use, attempts to quit, and how the use of those substances affected respondents' physical and mental well-being. Additional questions addressed respondents' sense of control over their health, their awareness of changes in their medical conditions, commitment to regular exercise and a healthy diet, experience with menopause, the decision-making process used to deal with health concerns, experiences with nontraditional remedies or therapies, and history of attending support groups. Respondents were asked to compare their overall well-being with that of their peers and to describe social, physical, and emotional characteristics typical of adults in their 20's, 40's, and 60's. Information on the work histories of respondents and their significant others was also elicited, with items covering the nature of their occupations, work-related physical and emotional demands, and how their personal health had correlated to their jobs. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were also asked to consider their personal feelings of accomplishment, desire to learn, sense of control over their lives, interests, and hopes for the future.

The Datasets previously numbered 2 and 3 have been removed to avoid redundancies, and all datasets have been renumbered. Please refer to the readme file.

Dataset 2, Twin Screener Data, provides the first national sample of twin pairs ascertained randomly via the telephone.

Dataset 3, Coded Text Responses, describes how open-ended textual responses in the MIDUS 1 Computer-Assisted Telephone Interview (CATI) and Self-Administered Questionnaire (SAQ) were transformed into categorical numeric codes. These codes are included in a stand-alone dataset containing only those cases (N=3,950) that contained text data in their responses.

Online Analysis Only: Datasets 1, 2, and 3 were merged together by the SU_ID variable to form "Merged Data with Weights (Online Analysis Only)" (Dataset 4) for online analysis capabilities.

MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required.

The Neuroscience study is Project 5 of the MIDUS longitudinal study, a national survey of more than 7,000 Americans (aged 25 to 74) begun in 1994. The purpose of the larger study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health. 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.

The Neuroscience Project of MIDUS 2 contains data from 331 respondents. These respondents include two distinct subsamples, all of whom completed both the Project 1 Survey and the Project 4 biomarker assessment at University of Wisconsin-Madison: (1) longitudinal (n = 223) and (2) Milwaukee (n = 108). The Milwaukee group contained individuals who participated in the baseline MIDUS Milwaukee study, initiated in 2005.

The purpose of the Neuroscience Project was to examine the central circuitry associated with individual differences in affective style that represent a continuum from vulnerability to resilience, and characterize some of the peripheral consequences of these central profiles for biological systems that may be relevant to health. The primary aims were to: (1) characterize individual differences in both emotional reactivity and emotional recovery using psychophysiological measures such as corrugator electromyography and eyeblink startle magnitude, (2) characterize individual differences in brain morphology, in particular amygdala and hippocampal volume, using structural magnetic resonance imaging (MRI), (3) characterize individual differences in activity within the neural circuitry of emotion regulation using both electroencephalography and fMRI, and (4) test the ability of the central indices in this project to predict the comprehensive array of health, cognitive, psychological, social, and life challenge factors assessed in the other MIDUS projects.

To probe individual differences in emotional reactivity and recovery (a key component of regulation) the Neuroscience Project examined both psychophysiological and fMRI measures during the presentation of emotional (positive and negative) and neutral pictures, and these same measures during a post-picture period. The logic of this strategy is that continued activation during the recovery period following a negative stimulus is indicative of poor automatic emotion regulation. Respondents in the Neuroscience Project are a representative subsample of the MIDUS (Midlife in the United States) survey.

National respondents in the Neuroscience Project are a representative subsample of the MIDUS 2 survey sample (#4652).

The raw neuro-imaging data are not available through NACDA/ICPSR; please see the README file for more information about how to obtain them.

From 2004-2009, an initial follow-up of the original Midlife Development in the United States samples (MIDUS 2) was conducted with expansion of the protocol to include Neuroscience Project data collection and a sample of Black Americans from Milwaukee, WI. The MIDUS Neuroscience Project performed a second follow-up from 2017-2022 of the MIDUS Main and Milwaukee samples (MIDUS 3) on a subsample of those who completed the MIDUS 3 Survey and Biomarker Projects.

The goal was to examine indices of brain aging, function, and structure with a focus on the brain circuitry associated with individual differences in affective style, and to characterize the peripheral consequences of these central profiles for biological systems that may be relevant to health. The primary aims were to: (1) characterize individual differences in emotional reactivity, recovery, and sustaining processes using corrugator and zygomatic electromyography and eyeblink startle magnitude, (2) characterize individual differences in brain morphology and connectivity using structural magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) (3) characterize individual differences in functional activity within the neural circuitry of emotion using task and resting state fMRI, (4) calculate brain age, and (5) test the ability of these indices to predict the comprehensive array of health, wellbeing, cognitive, psychological, social, and life challenge factors assessed in other MIDUS projects. To probe individual differences in emotional processes, psychophysiological and fMRI measures of emotional responses to the presentation of negative, positive, and neutral pictures, and these same measures during a post-picture period were examined.

Emotion-influenced memory was assessed at both the psychophysiological and imaging sessions: (1) Free recall of the presented affective pictures at the end of the psychophysiological session. (2) Memory and likeability ratings for neutral faces paired with the affective pictures in the imaging task. Finally, selected tasks from the CANTAB assessed affective biases and cognitive processes important for emotion regulation.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS-All Injury Program (NEISS-AIP).

The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS-All Injury Program (NEISS-AIP).

The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS-All Injury Program (NEISS-AIP).

The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS-All Injury Program (NEISS-AIP).

The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.