Search results

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

This study is a secondary analysis (syntax only, no data) of Research on Pathways to Desistance [Maricopa County, AZ and Philadelphia County, PA]: Subject Measures, 2000-2010 (ICPSR 29961) and Research on Pathways to Desistance [Maricopa County, AZ and Philadelphia County, PA]: Calendar Data, 2000-2010 [Restricted] (ICPSR 32282).

The purpose of this study was to further existing knowledge of juvenile justice intervention and how juvenile justice intervention is related to positive outcomes during the transition to adulthood. This study examines three main aims using data from the Pathways to Desistance study, which followed a sample of serious adolescent offenders for seven years to examine the desistance process. First, trajectories of secure institutional placement for serious offenders during the study period were identified. Second, trajectories of gainful activities for serious adolescent offenders during the study period were identified. Gainful activities were defined as working or attending school. Third, factors associated with turning points in the gainful activities trajectories were explored. In the course of estimating the gainful activities trajectories, there appeared to be a key moment, around year 3, where multiple trajectories with moderate levels of engagement in gainful activities diverged. Together, these three aims will inform how juvenile justice intervention is related to positive outcomes during the transition to adulthood and identify factors that may be related to positive outcomes and critical turning points in the trajectories of serious adolescent offenders.

Group differences were examined by testing bivariate differences in a broad range of variables: demographic variables (gender, age, and race/ethnicity); study site and year of interview; characteristics of prior service receipt at baseline (location and orientation); school, family and neighborhood characteristics; characteristics of the offense and offense history; individual factors (mental health and substance use symptoms); and risk scores.

The Iowa Adoption Studies were conducted between 1975 and 2008. The group of studies consist of 5 independent waves of data collection each of which examined genetic (biological) and environmental influences on psychopathology. The adoption paradigm allowed separation of genetic and environmental influences on behavior, as well as joint influences due to gene x environment interaction. Adoptees were interviewed about lifetime psychopathology including substance abuse and dependence, antisocial personality, and mood disorders. A follow-up study was conducted from 2000-2004 that recruited all previous participants and natural offspring of the adoptive parents when available. Standardized psychiatric assessments were administered along with measures of personality disorders and traits, retrospective reports on childhood experiences with adoptive parents, and current symptomatology. An extensive neurocognitive assessment was conducted on a subset of participants who had standardized school achievement scores. The goal of this last wave of assessment was to evaluate the influence of substance use on mid-life cognition and health.

The respondents were assessed using a number of different surveys over the study period. The following describes the notable variables as well as descriptions of the surveys included in the dataset.

The first variables in the dataset identify sibling pairs and provides data on whether the respondents' biological parents suffered from mental health or substance abuse issues. Next birth records are provided that give basic information about the health of the person when he or she was born. This information is followed by the survey results of "The Schedule for Nonadaptive and Adaptive Personality" (SNAP) as well as variables that reflect the diagnosis of personality disorders and nonadaptive personality traits based on the SNAP survey responses.

The next section includes responses from "The Iowa Personality Disorder Screen," a quick personality disorder screen developed in 1999 intended for use in clinical and research settings.

Next, responses to Pearson Assessments "Brief symptoms inventory" are included as well as the scores calculated based on these survey responses. The results of this survey assess the mental state of the patient including scales on Somatization, Obsessive-Compulsive, Interpersonal Sensitivity, Depression, Anxiety, Hostility, Phobic Anxiety, Paranoid Ideation and Psychoticism.

The respondents also completed the "Buss-Durkee Hostility Questionnaire" and were assessed on measure regarding the following hostility traits: negativism, resentment, indirect hostility, assault, suspicion, irritability and verbal hostility.

Reponses to the "The Social Provisions Scale" survey are also included. The purpose of this survey is to assess the relationship the respondents have to other people. The 6 social provisions assessed include: guidance, reliable alliance, reassurance of worth, attachment, social integration, and opportunity for nurturance.

"The Parental Bonding Instrument" instrument was utilized to assess the respondents' relationships to their mothers and fathers.

A series of cognitive tests were administered to respondents. ICPSR is unable to provide the survey instruments used in the cognitive test due to copy write issues. These tests include:

Controlled Oral Word Association Test (COWAT)

North American Adult Reading Test (NAART)

Rey Figure and Rey Complex Figure Test and Recognition Trial (RCFT)

Shipley Institute of Living Scale (SILS)

Stroop Color and Word Test (SCWT)

Tower of Hanoi (TofH)

Comprehensive Trailmaking Test (CTMT)

Weschler Adult Intelligence Test (WAIS)

Weschler Memory Test (WMS)

The dataset also includes respondents' results of the Comprehensive Performance Test (CPT) and the Iowa Gambling Task (IGT)

Scores from the "Iowa Test of Basic Skills," a test of academic achievement that evaluates students knowledge in subjects including, mathematics, reading comprehension, and science, are included in the dataset. Respondents are evaluated in grades 4, 8 and 11.

The final section of the dataset includes two waves of the "Semi Structured Assessment for the Genetics of Alcoholism," a survey intended to assess the physical, psychological, and social manifestations of alcohol abuse. These survey responses make up the bulk of the dataset and include variables on a variety of topics including: demographics, medical history, substance use, eating disorders, depression, dysthymia, mania, ASP, suicide, PTSD, generalized anxiety disorder, OCD, social phobia, agoraphobia, panic disorder, home environment, gambling, and ADHD. Substances use investigated includes alcohol, tobacco, marijuana, sedatives, stimulants, cocaine, opiates, solvents, hallucinogens, and other drugs.

This dataset includes 934 cases and 9,370 variables.

The Biomarker study is Project 4 of the Midlife in the United States (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 (NIA), a longitudinal follow-up of the original MIDUS samples [core sample (N = 3,487), metropolitan over-samples (N = 757), twins (N = 957 pairs), and siblings (N = 950)] was conducted in 2004-2006. Guiding hypotheses, at the most general level, were that behavioral and psychosocial factors are consequential for health (physical and mental). A description of the study and findings from it are available on the MIDUS website.

The Biomarker Project (Project 4) of MIDUS 2 contains data from 1,255 respondents. These respondents include two distinct subsamples, all of whom completed the Project 1 Survey: (1) longitudinal survey sample (n = 1,054) and (2) Milwaukee sample (n = 201). The Milwaukee group contained individuals who participated in the baseline MIDUS Milwaukee study, initiated in 2005. The purpose of the Biomarker Project (Project 4) was to add comprehensive biological assessments on a subsample of MIDUS respondents, thus facilitating analyses that integrate behavioral and psychosocial factors with biology. The broad aim is to identify biopsychosocial pathways that contribute to diverse health outcomes. A further theme is to investigate protective roles that behavioral and psychosocial factors have in delaying morbidity and mortality, or in fostering resilience and recovery from health challenges once they occur. The research was not disease-specific, given that psychosocial factors have relevance across multiple health endpoints.

Biomarker data collection was carried out at three General Clinical Research Centers (at UCLA, University of Wisconsin, and Georgetown University). The biomarkers reflect functioning of the hypothalamic-pituitary-adrenal axis, the autonomic nervous system, the immune system, cardiovascular system, musculoskeletal system, antioxidants, and metabolic processes. Our specimens (fasting blood draw, 12-hour urine, saliva) allow for assessment of multiple indicators within these major systems. The protocol also included assessments by clinicians or trained staff, including vital signs, morphology, functional capacities, bone densitometry, medication usage, and a physical exam. Project staff obtained indicators of heart-rate variability, beat to beat blood pressure, respiration, and salivary cortisol assessments during an experimental protocol that included both a cognitive and orthostatic challenge. Finally, to augment the self-reported data collected in Project 1, participants completed a medical history, self-administered questionnaire, and self-reported sleep assessments. For respondents at one site (UW-Madison), objective sleep assessments were also obtained with an Actiwatch(R) activity monitor.

The MIDUS Refresher study Survey (2011-2014 ICPSR 36532) recruited a national probability sample of 3,577 adults, aged 25 to 74, designed to replenish the original MIDUS 1 baseline cohort and paralleling the five decadal age groups of the MIDUS 1 baseline survey (ICPSR 2760). The MIDUS Refresher survey employed the same comprehensive assessments as those assembled on the core longitudinal MIDUS sample, but with additional questions about impacts of the economic recession of 2008-09. The MIDUS Refresher Biomarker study (2012-2016) obtained data from 863 respondents (n=746 Main sample, n=117 African Americans from Milwaukee) who completed the MIDUS Refresher Survey.

The purpose of the Refresher Biomarker Project (Project 4) parallels that of the MIDUS 2 Biomarker project (ICPSR 29282), which collected comprehensive biological assessments on a subsample of MIDUS respondents, thus facilitating analyses that integrate behavioral and psychosocial factors with biological regulation/dysregulation, broadly defined. The aim was to use such data to explicate biopsychosocial pathways that contributed to diverse health outcomes. A further theme was to examine period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS sample with the post-recession MIDUS Refresher sample. A further objective of the MIDUS Refresher sample was to strengthen cross-project analyses by increasing the sample sizes available for testing hypotheses regarding the interplay of key factors (e.g., socioeconomic status, gender, psychosocial factors, biological factors) in mid- and later-life health.

Biomarker data collection was carried out at hypothalamic-pituitary-adrenal axis, the autonomic nervous system, the immune system, cardiovascular system, musculoskeletal system, antioxidants, and three General Clinical Research Centers (at UCLA, University of Wisconsin, and Georgetown University). The biomarkers reflect functioning of the metabolic processes. Our specimens (fasting blood draw, 12-hour urine, saliva) allowed for assessment of multiple indicators within these major systems. The protocol also included assessments by clinicians or trained staff, including vital signs, morphology, functional capacities including 3 dimensional gait analysis, bone densitometry, body composition, ankle brachial index, medication usage, and a physical exam. Project staff obtained indicators of heart-rate variability, beat to beat blood pressure, respiration, and salivary cortisol assessments during an experimental protocol that included both a cognitive and orthostatic challenge. Finally, to augment the self-reported data collected in Survey (Project 1), participants completed a medical history, self-administered questionnaire, and self-reported sleep assessments. For respondents at one site (UW-Madison), objective sleep assessments were also obtained with an Actiwatch(R) activity monitor.

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

The specific research aims were as follows:

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

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

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

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

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

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

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

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

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

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

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

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

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

The specific research aims were as follows:

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

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

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

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

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

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

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

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

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

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

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

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

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

The specific research aims were as follows:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The specific research aims were as follows:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The Calendar data files are comprised of 47 total parts spread across 13 distinct topical domains.

• Academic Achievement
• Antisocial Activity
• Community-Based Services
• Contact With the Justice System
• Court Monitoring
• Gainful Activity
• Head Injury
• Living Situation
• Making and Spending Money
• Medication
• Out of Community Placement
• Romance
• School

Each topical domain contains multiple reference periods for looking at the topic across the entire data collection period of the study.

Users who request these restricted data should first review the documentation available from NAHDAP (user guide and frequency codebooks) and from the Pathways Website (domain content codebooks). This review will help determine which specific datasets will be needed for your project. The "Research Description" in ICPSR's Data Access Request System (IDARS) must include a specific explanation of why you need each topic domain selected on the "Data Selection" page in IDARS. Most projects should only require one reference period per topic domain being requested. Data requests for all reference periods within a given domain will not be approved without a satisfactory explanation of why all of the reference periods are required for your project. Since the Calendar data collection is very extensive and Restricted Data Use Agreements are only for 2 years, data requests are not expected to need the entire Calendar data collection.

The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales between the years 2000 and 2010. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654) and Philadelphia County, Pennsylvania (N=700).

Respondents were enrolled and baseline interviews conducted from November 2000 to January 2003. Follow-up interviews were then scheduled with the respondents at 6, 12, 18, 24, 30, 36, 48, 60, 72 and 84 months past their baseline interview.

The enrolled youth were at least 14 years old and under 18 years old at the time of their committing offense and were found guilty of a serious offense (predominantly felonies, with a few exceptions for some misdemeanor property offenses, sexual assault, or weapons offenses).

The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654) and Philadelphia County, Pennsylvania (N=700) from 2000 through 2010.

This study looks at interviews conducted with the collateral informants who participated in the study. The collateral informants were nominated by the main study participant and represented individuals who "knew the study participant well". At the interview baseline the collateral informant was usually a biological parent. During the three follow-up interviews the majority of collaterals were a friend. Collateral informants could also be a sibling, significant other, or relative. Collaterals were asked questions in regards to the main study participant's life, allowing for comparison between responses provided by two sources. A baseline interview was conducted with the collateral after the baseline interview took place with the main participant. Additional waves of follow-up with collaterals took place at 12, 24, and 36 months. A collateral report is not present for all of the main study participant interviews across waves (see response rate below).

The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales between the years 2000 and 2010. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654) and Philadelphia County, Pennsylvania (N=700).

Respondents were enrolled and baseline interviews conducted from November 2000 to January 2003. Follow-up interviews were then scheduled with the respondents at 6, 12, 18, 24, 30, 36, 48, 60, 72 and 84 months past their baseline interview.

The enrolled youth were at least 14 years old and under 18 years old at the time of their committing offense and were found guilty of a serious offense (predominantly felonies, with a few exceptions for some misdemeanor property offenses, sexual assault, or weapons offenses).

The baseline interview was conducted within 75 days of the youth's adjudication hearing. For youths in the adult system, the baseline interview was conducted within 90 days of either (a) the decertification hearing in Philadelphia, a hearing at which it is determined if the case will remain in adult court or if it will be sent back to juvenile court; or (b) the adult arraignment hearing in Phoenix, the point in the Arizona adult system at which charges have been formally presented.

The aims of the investigation were to identify initial patterns of how serious adolescent offenders stop antisocial activity, to describe the role of social context and developmental changes in promoting these positive changes, and to compare the effects of sanctions and interventions in promoting these changes. The larger goals of the Pathways to Desistance study were to improve decision-making by court and social service personnel and to clarify policy debates about alternatives for serious adolescent offenders. The study relied primarily on self-report information from study participants.

Each wave of data collection covered six domains: (1) background characteristics (e.g., demographics, academic achievement, psychiatric diagnoses, offense history, neurological functioning, psychopathy, personality), (2) indicators of individual functioning (e.g., work and school status and performance, substance abuse, mental disorder, antisocial behavior), (3) psychosocial development and attitudes (e.g., impulse control, susceptibility to peer influence, perceptions of opportunity, perceptions of procedural justice, moral disengagement), (4) family context (e.g., household composition, quality of family relationships), (5) personal relationships (e.g., quality of romantic relationships and friendships, peer delinquency, contacts with caring adults), and (6) community context (e.g., neighborhood conditions, personal capital, and community involvement). Information about the measures used to capture this information can be found on the Pathways to Desistance website.