DOI: 10.3886/icpsr39203.v1
title: The Family Life Project, Phase I, United States, September 2003-January 2008
title: Version 1

description: The purpose of this project is to study the early development of a group of children who are at risk regarding later successful adjustment and for whom we have little information: children living in rural, largely poor communities. A birth cohort of 800 children in three rural counties of North Carolina and 600 children in three rural counties of Pennsylvania were studied over the first 3 years of life. A multidisciplinary team investigated multiple levels of influences affecting the early development of these children. The research emphases of the component research projects include the following: Project I: Temperament: Emphasizes the development of child-related factors and how they predict preschool social-emotional and cognitive competence Project II: School Readiness: Emphasizes the pathways to and precursors of school readiness Project III: Family Process: Emphasizes how family processes mediate or moderate the effects of rural poverty on children Project IV: Work and Family: Emphasizes the impact of parents' occupational conditions on parenting, and, in turn, children's social, cognitive, emotional and linguistic development Project V: Ethnography: Emphasizes two components: an in-depth contextual appraisal of community characteristics a family ethnography with 72 families developmentally ahead of the cohort above to provide input to design and measurement
This project used a cumulative risk model to examine the relation between social risk and children's executive functioning, language development and
behavioral competence at 36 months. Using both the Family Process Model of development and the Family Investment Model of development, observed parenting was examined over time in relation to child functioning at 36 months. Different aspects of observed parenting were examined as mediators/moderators of risk in predicting child outcomes. Results suggested that cumulative risk was important in predicting all three major domains of child outcomes and that positive and negative parenting and maternal language complexity were mediators of these
relations. Maternal positive parenting was found to be a buffer for the most risky families in predicting behavioral competence. In a final model using both family process and investment measures, there was evidence of mediation but with little evidence of the specificity of parenting for particular outcomes. Results demonstrate the importance of cumulative risk and parenting in understanding child competence in rural poverty and the implications for possible intervention strategies that might be effective in maximizing the early development of these children.
description: About 20 percent of children in the United States have been reported to live in rural
communities, with child poverty rates higher and geographic isolation from resources greater
than in urban communities. There have been surprisingly few studies of children living in rural communities, especially poor rural communities. The Family Life Project helped fill this gap by using an epidemiological design to recruit and study a representative sample of every baby born to a mother who resided in one of six poor rural counties over a one year period, oversampling for mothers living in poverty and African American mothers. 1,292 children were followed from birth to 36 months of age.
description: All families living in the six target counties who have given birth to a child during the recruitment period (1 year) were eligible to participate in the project. Mothers were screened in the hospital and selected according to their income status in Pennsylvania and race/income status in North Carolina.
Data collection consisted of a series of home visits, child care visits, and phone calls. Families were visited when the infant was 2, 6, 15, 24, and 36 months of age. The 2- and 15-month assessments consisted of a single home visit that involved the primary caregiver and the target child. If
available and willing, the secondary caregiver was also included at the 15-month assessment.
The 6-, 24-, and 36-month assessments consisted of two separate home visits that involved the
primary (and, when possible, the secondary) caregiver, as well as the target child. A majority of
home visitors resided in the counties in which the families lived. In North Carolina, African
American home visitors were selected to make sure all home visits to African American families
included a home visitor of the same race. Two home visitors visited the families at each time point in order to collect the data in a timely fashion and to ensure that all tasks were completed
successfully. At the 6-, 15-, 24-, and 36-month assessments, visits were made to the children's most-used
child care setting if the child was in any form of child care for a total of 10 hours a week or more.
Phone calls were made to each family approximately every four months between designated
assessments, in order to gather updated information about family moves. Home visits lasted approximately 2-3 hours and consisted of a variety of interviews, questionnaires, videotaped interactions between the primary caregiver and the child, the secondary caregiver and the child, and direct child assessments. Questionnaire, interview, and direct assessment data were collected on laptops. To ascertain reading levels, all primary and secondary caregivers completed the KFAST literacy screener (Kaufman and Kaufman, 1994) during their first visit. Participants who read at an 8th grade reading level or above were given the opportunity to complete questionnaires on their own (86 percent sample), whereas those who read below an 8th grade reading level had questionnaires read to them by one of the interviewers. For confidential information, informants were given a key pad so that the interviewer would not know the answer to the question.
Child care visits were conducted after contacting families to obtain the name and address of
the child care person and to get written permission to visit the child care setting. We visited 72 percent
of the child care settings over the course of the first three years. The setting could be in the
child's home or another home or formal child care. The caregiver could be a relative, babysitter,
biological non-residential father, residential grandmother who was not a primary or secondary caregiver, and other related or non-related adults. Child care visits were completed by
interviewing the caregiver about the setting and her/his background characteristics and through
observations of the setting over about a one and a half hour time period.
description: Information from home visits, childcare visits, and phone calls was collected on the following domains of interest:

Attention
Adult Literacy and Cognition
Adult Relationships
Child Behavioral Measures
Child Cognitive Measures
Child Temperament
Child Care Information
Community and Neighborhood Environment
Demographics
Emergent Literacy
Executive Functioning
Genotyping Data
Home Environment
Income and Assistance
Language Development
Parent Mental Health
Parenting
Physical Health
Rurality
Stress
Support
Work and Job Characteristics
description: The Weights data file (part 0090) contains all weight variables created for use with analysis. This file can be merged by <strong>S_ID</strong>.
SUDAAN was used to create the weight variables. "With replacement" sampling is used based on the project's interest in making inferences about low income/African American families in Appalachia and the African American South, as opposed to this particular set of families. The sampling design is a stratified sample with unequal weighting (state, county, and hospital were not sampled).
Weights were created to take into account non-response and oversampling to achieve target numbers. Data were weighted separately for each hospital and stratum to create the probwght variable. An 18 level variable was created corresponding to hospital, race, and income called the strat variable. There were 7 levels for each hospital that was sampled, 2 levels for race (African American vs not African American), and 2 levels for income (low income or not low income). Stratification variables for state, ethnicity, and low income level are also included.
description: Response Rates: The Family Life Project enrolled 1200 families total. In Pennsylvania, 320 of these families were low income, while 160 were not low income, for a total of 480 families. In North Carolina, 540 families were low income (380 of these were African American), while 180 were not low income (100 of these were African American) for a total of 720 families (480 African American families). Overall, there were 860 families that were low income and 340 families that were not low income. Given successful retention efforts, a low attrition rate of 6.19 percent was maintained through 36 months of age of the target child.
description: Presence of Common Scales: In most cases, each data file represents individual responses on a scale. Some data files contain responses from individuals on the same scale at multiple time points. In some instances, there are separate data files for the same scale at different time points.
description: Sampling was done to obtain a representative sample (i.e., a birth cohort) of children born in one of six targeted counties between September 2002 and September 2003. Low-income families and African American families (North Carolina only) were over-sampled. A broad definition of rural was used, which included counties with small to medium sized towns with little access to large metropolitan areas and the resources those areas might provide. There are four areas of the United States that have been previously identified as having high rates of rural poverty (Dill, 1999) and this study sampled from two of these areas, Appalachia and the African American South. County inclusion criteria was: counties with no town with a population of greater than 50,000 and counties where nearly half the elementary age children were eligible for free and/or reduced lunch (children would be within 180 percent of the national poverty line). Counties that were adjacent to large metropolitan areas were excluded, so that target counties could not be considered suburban. Counties that were remote and completely rural were also excluded. Using this definition, 28 counties in Pennsylvania and 40 in North Carolina met our definition of "rural" and poor, with Beale codes of 3, 4, and 6. Within these counties, geographic clusters were identified to reduce data collection and recruitment costs. Demographic factors (poverty and African American race) were also considered. Six counties meeting the above criteria were chosen.Next, families were sampled from hospitals. In the Pennsylvania counties, there were seven hospitals that delivered babies. Given prior hospital administrative data regarding the number of births expected to occur, four of the seven hospitals were randomly selected to participate. In the North Carolina counties, there were only three hospitals that delivered babies so further sampling was not needed. There were additional considerations for sampling of the families including representative sampling for high-risk births, and attention towards the number of days a week and which days a week families were sampled. Three criteria were used to exclude families from participation: non-English speaking families, families intending on moving within the next three years (such as, military enlistment), and families where the state had terminated parental rights (such as, women in prison) were all excluded. Families were classified into low income status based on self-reports including social service use, highest education achieved, and household income, which served as inclusion criteria. In North Carolina, race was also considered as inclusion criteria due to the oversampling of African American babies, whose race was designated by mothers.
description: Datasets: 
DS0: Study-Level Files
DS1: Month 2 Interview Grid Data
DS2: Month 2 Respondent Interview Data
DS3: Month 6 Interview Grid Data
DS4: Month 6 Child Care Interview Data
DS5: Month 6 Primary Respondent Interview and Assessment Data
DS6: Month 6 Secondary Respondent Interview and Assessment Data
DS7: Month 10.5 Mini Tracking Phone Call Data
DS8: Month 15 Interview Grid Data
DS9: Month 15 Child Care Interview Data
DS10: Month 15 Primary Respondent Interview and Assessment Data
DS11: "Month 15 Secondary Respondent Interview
and Assessment"
DS12: Month 19 Mini Tracking Phone Call Data
DS13: Month 24 Interview Grid Data
DS14: Month 24 Child Care Interview Data
DS15: Month 24 Primary Respondent Interview and Assessment Data
DS16: Month 24 Secondary Respondent Interview and Assessment Data
DS17: Month 27 Mini Tracking Phone Call Data
DS18: Month 31 Mini Tracking Phone Call Data
DS19: Month 35 Interview Grid Data
DS20: Month 35 Child Care Interview Data
DS21: Month 35 Primary Respondent Interview and Assessment Data
DS22: Month 35 Secondary Respondent Interview and Assessment Data
DS23: ADHD Retrospective Report Data
DS24: ADHD Current Target Child Report Data
DS25: Adaptive Language Inventory (ALI) Data
DS26: Backward Word Span Task Data
DS27: Bayley Scales of Infant Development (BSID) Data
DS28: Body Mass Index (BMI) for Analysis Use Data
DS29: Brief Symptom Inventory (BSI) Data
DS30: Childcare Health and Safety Checklist Data
DS31: Center for Epidemiologic Studies Depression Scale (CES-D) Data
DS32: Confusion, Hubbub, and Order Scale (CHAOS) Data
DS33: Cortisol Data
DS34: Communication and Symbolic Behavior Scales Developmental Profile (CSBS DP) Infant-Toddler Checklist Data
DS35: Child Free Play Observation Coding Data
DS36: Early Attention to Reading Situations (EARS) Coding Data
DS37: Early Childhood Behavior Questionnaire (ECBQ) Data
DS38: Vagal Tone and Vagal Tone Suppression Data
DS39: Executive Functioning: Operations Span Data
DS40: Executive Functioning: Pig Game Data
DS41: Executive Functioning: Something's the Same Data
DS42: Executive Functioning: Spatial Conflict Data
DS43: Occupational Information Network (O*NET) Occupation Coding Data 6.0
DS44: Executive Functioning: Silly Sounds Data
DS45: Executive Functioning: Summary Scores Data
DS46: Parents' Beliefs about Feelings Questionnaire (PBAF) Data
DS47: Child Empathy Data
DS48: Family Activities Questionnaire Data
DS49: Future Orientation Scale Data
DS50: Gender Role Attitudes Scale Data
DS51: GIS: Block Group and Tract-Level Contextual Data
DS52: GIS: GIS Coding Data
DS53: Head Start Competency Scale Data
DS54: Infant/Toddler and Preschool Home Observation for Measurement of the Environment (HOME) Inventory Data
DS55: Infant Behavior Questionnaire (IBQ) Data
DS56: Infant Behavior Record (IBR) Data
DS57: Income to Needs Ratio Data
DS58: Jobs Data: Flexible Work Arrangements, Job Satisfaction and Security, Occupational Self-Direction, Traditional Fringe Benefits, Work Environment, and Work-Family Spillover
DS59: Occupational Information Network (O*NET) Occupation Coding Data 10.0
DS60: Kaufman Functional Academic Skills Test (K-FAST) Data
DS61: Knowledge of Infant Development Inventory (KIDI) Data
DS62: Lab Tasks - Reactivity: Barrier and Mask Task Data
DS63: Lab Tasks - Regulation Data (6 Months)
DS64: Lab Tasks - Regulation Data (15 and 24 Months)
DS65: Lab Tasks - Toy Removal Task Data
DS66: Life Events Checklist Data
DS67: Mastery Data
DS68: Neighborhood Questionnaire Data
DS69: Observation of Child Temperament Scale (OCTS) Data
DS70: Optimism Questionnaire Data
DS71: Parent-Child Interaction Coding Data: Parent Codes
DS72: Parent-Child Interaction Coding Data: Child Codes
DS73: Preschool Language Scale (PLS) Data
DS74: Questionnaire of Social Support (QSS) Data
DS75: Race: Racial Discrimination Data
DS76: Race: Racial Socialization Data
DS77: Race: Race-Related Stressful Events Data
DS78: Relationships Data - Conflict Tactics, Marital Instability, Social Reflections, and Personal Assessment of Intimacy in Relationships (PAIR)
DS79: Religiosity Data
DS80: Resources Support Data - Economic Strain, Family Resource Scale, Religious Social Support, and Role Overload
DS81: Russell Keeping Children Safe Scale Data
DS82: Systematic Analysis of Language Transcripts (SALT) Data
DS83: Brief Sleep Habits Questionnaire Data
DS84: Strengths and Difficulties Questionnaire Data
DS85: Toy Reach Task Data
DS86: Windshield Survey Data
DS87: Woodcock Johnson III: Passage Comprehension Data
DS88: Wechsler Preschool and Primary Scale of Intelligence III (WPPSI) Data
DS89: Research Assistant Ratings of Hyperactivity Data
DS90: Weights
DS91: Recruitment Public-Use Data
DS92: Recruitment Restricted-Use Data
DS93: Returned Selections Results Data
description: Rural children living in poverty in eastern North Carolina and central Pennsylvania. Smallest Geographic Unit: State
description: computer-assisted personal interview (CAPI); coded on-site observation; coded video observation; cognitive assessment test; telephone interviewRestricted-use files for tracking phone call data, child care interview data, interview grid data, GIS block group and tract-level contextual data, and GIS coding data are now available via a signed User Agreement and online application.
In addition, public codebooks list variables and descriptions for primary respondent interview and assessment data, and secondary respondent interview and assessment data. Frequencies in these codebooks are suppressed.