Cognitive skill performance among young children living in poverty: Risk, change, and the promotive effects of Early Head Start
Section snippets
Ecological systems model and interventions
To better understand the varying factors that influence the cognitive skills of children living in poverty, we use an ecological systems model (Bronfenbrenner and Morris, 1998, Cicchetti and Lynch, 1993, Ford and Lerner, 1992, Huston et al., 1997, Mashburn and Pianta, 2006, Sameroff, 1995). According to ecological systems models, children develop over time within interrelated systems that exist at levels proximal and distal to the child (Bronfenbrenner, 1977, Pianta and Walsh, 1996). Risk and
Risks and cognitive skills
Child temperament, the biological basis for behavior, is located in the ontogenic system. A temperament marked by high levels of negative emotionality may serve as a risk factor for lower-level cognitive skill performance. Children with higher levels of negative emotionality tend to perform lower on tests of cognitive skill than their more regulated peers (Buckner, Mezzacappa, & Beardslee, 2003). Children in poverty may be more likely to develop high levels of negative emotionality than their
Intervention programs: protective factors, promotive factors, and cognitive skills
Intervention programs for children and families in poverty, which are located at the exosystem, are designed to provide children and families with protective and promotive factors. The focus of these programs is to give children and families coordinated resources to ameliorate the negative effects of poverty, and to promote positive development. Special consideration must be given to the examination of interventions within ecological systems models (Hooper et al., 1998). In particular, Sameroff
Present study
The majority of previous research on poverty and children's development has not been conducted to investigate the cognitive skills of young children over time and the effects of multiple child, family, and environmental factors on children's cognitive skill development. This paucity of research is primarily due to a lack of resources required for large-scale longitudinal studies or a lack of knowledge regarding statistical methods for investigating relationships between risk and protective
Sample
The EHS Research and Evaluation Project is a prospective study of 3001 children and their families from birth through preschool. At the time the program was initiated, ACYF selected 17 EHS programs located in all regions of the United States, to participate in a rigorous and large-scale evaluation. This purposeful selection resulted in a research sample of 3001 families that reflects the characteristics of all EHS programs funded in 1995 and 1996. The 3001 families were randomly assigned to
Descriptive statistics
Means and standard deviations for continuous variables are presented in Table 1, in addition to percentages for each of the dichotomous predictor variables. Children demonstrated average levels of negative emotionality, mothers and children evidenced moderate levels of dyadic mutuality and moderate amounts of language and cognitive stimulation were afforded children at home. Extensive variation was evident, however, such that some children evidenced high levels of negative emotionality, and
Discussion
To understand more fully children's cognitive skill development within the context of family poverty, we examined cognitive skills in infancy and very early childhood using ecological systems models of development. Using a prospective, longitudinal approach, we extended the current work on cognitive skill development in the face of risk and protective/promotive factors both proximal and distal to the child, through examination of data from the EHS Research and Evaluation Project.
Acknowledgements
The findings reported here are based on research conducted as part of the National Early Head Start Research and Evaluation Project funded by the Administration for Children and Families (ACF), U.S. Department of Health and Human Services under Contract 105-95-1936 to Mathematica Policy Research, Princeton, NJ, and Columbia University's National Center for Children and Families, Teachers College, in conjunction with the Early Head Start Research Consortium. The consortium consists of
References (99)
- et al.
Toddlers from low-income families have below normal mental, motor, and behavior scores on the revised Bayley scales
Journal of Applied Developmental Psychology
(2000) The HOME inventory: Review and reflections
- et al.
Social and family risk factors for infant development at one year: An application of the cumulative risk model
Journal of Applied Developmental Psychology
(1998) - et al.
Poverty and behavior: The case for multiple methods and levels of an analysis
Developmental Review
(1997) - Administration on Children and Families. (2002). Making a difference in the lives of children and families: Impacts of...
- Alexander, K. L., & Entwisle, D. R. (1988). Achievement in the first two years of school: Patterns and processes....
- et al.
The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations
Journal of Personality and Social Psychology
(1986) Bayley Scales of Infant Development
(1993)Early child care and early child development: Major findings of the NICHD Study of Early Child Care
European Journal of Developmental Psychology
(2006)- et al.
The effects of day care: A critical review
Child Development
(1978)
Parenting
Socioeconomic status and child development
Annual Reviews Psychology
Toward an experimental ecology of human development
American Psychologist
Contexts of child rearing: Problems and prospects
American Psychologist
Ecology of the family as a context for human development: Research perspectives
Developmental Psychology
Recent advances in research on the ecology of human development
Ecological models of human development
The ecology of developmental process
The effects of poverty on children
The Future of Children: Children and Poverty
Studying lives through time: Secondary data analyses in developmental psychology
Developmental Psychology
Characteristics of resilient youths living in poverty: The role of self-regulatory processes
Development and Psychology
Estimating individual developmental functions: Methods and their assumptions
Child Development
Early intervention and mediating processes in cognitive performance of children of low-income African American families
Child Development
Cumulative risk and early cognitive development: A comparison of statistical risk models
Developmental Psychology
Temperament: Early developing personality traits
Home observation for measurement of the environment
The development of cognitive and academic abilities: Growth curves from an early childhood educational experiment
Developmental Psychology
Toward an ecological/transactional model of community violence and child maltreatment: Consequences for children's development
Interpersonal & Biological Processes
Emotional security as a regulatory proves in normal development and the development of psychopathology
Development and Psychopathology
Parenting of divorced mothers as a link between social status and boys’ academic outcomes: Unpacking the effects of socioeconomic status
Child Development
Why can’t we close the achievement gap?
Emotional self-regulation in preschoolers: The interplay of child approach, reactivity, parenting, and control capacities
Developmental Psychology
Prediction of Bayley and Stanford-Binet scores with a group of very low birth weight children.
Child: Care, Health and Development
Family poverty, welfare reform, and child development
Child Development
Developmental systems theory: An integrative approach
Mother-toddler problem solving: Antecedents in attachment, home behavior and temperament
Child Development
The human ecology of early risk
Children in poverty: Resilience despite risk
Psychiatry
The effects of anti-poverty programs on children's cumulative level of poverty-related risk
Developmental Psychology
Evaluating interventions with differential attrition: The importance of non-response mechanisms and use of follow-up data
Journal of Applied Psychology
Academic growth curve trajectories from 1st grade to 12th grade: Effects of multiple social risk factors and preschool child factors
Developmental Psychology
Early intervention for low-income children and families
Explaining social class differences in growth of reading skills from beginning kindergarten through fourth-grade: The role of phonological awareness, rate of access, and print knowledge
Reading and Writing
A broader view of what education policy should be
Annotation: What can be done about missing data? Approaches to imputation
American Journal of Public Health
The course and malleability of aggressive behavior from early first grade into middle school: Results of a developmental epidemiologically-based preventive trial
Journal of Child Psychology and Psychiatry
Work and personality: An inquiry into the impact of social stratification
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