Children at Risk in the Child Welfare System: Collaborations to Promote School Readiness

Study Overview


This mixed method, in-depth case study in Colorado examines the degree to which key players in the child welfare, early intervention/preschool special education (EI/Preschool SPED) and early care and education (ECE) systems (e.g. Head Start, preschool, child care centers, family child care homes) collaborate to meet the developmental needs of children ages 0-5 who are involved in the child welfare system. The ecological perspective described by Bronfenbrenner (1979) serves as the conceptual framework to support the goals of the project and to guide the development of this study.

This research includes a quantitative analysis of data from the National Survey of Child and Adolescent Wellbeing (NSCAW, a nationally representative sample of children involved in the child welfare system). Additional quantitative research was conducted through two surveys (optional paper or on-line survey) in Colorado between 2005-2006: the Foster Parent Survey, a statewide survey of foster parents drawn from public and private agency lists of licensed families, and the Child Welfare Caseworker Survey, a statewide survey of child welfare caseworkers and caseworker supervisors drawn from public and private agency lists. The qualitative component of this research was conducted through field study interviews, with professionals (Child Welfare, Early Intervention, and Early Care and Education) and foster and biological parents of children under 5 in the child welfare system. These interviews were conducted in Adams, Alamosa, Arapahoe, Conejos, and El Paso counties.

Study Author(s): 
Sampling Procedures: 

The study utilized a convenience sample based on the counties and agencies that responded to the study's request.

Contact and Data Access

1. I will use the dataset solely for statistical analysis and reporting of aggregated information and not for investigation of a specific individual or organization. 2. I will produce no links among the Distributors' datasets or among the Distributor's data and other datasets that could identify individuals or organizations. 3. I represent neither I, nor anyone I know, has any prior knowledge of the possible identification of any study participants in any dataset that I am being licensed to use. 4. I will not knowingly divulge any information that could be used to identify individual participants in the study, nor will I attempt to identify or contact any study participant and I agree to use any precautions necessary to prevent such identification. 5. I will not reproduce the dataset except as it is necessary for scholarly purposes. I will destroy the dataset upon completion of my scholarly work with it. 6. I will not share data from the dataset (in any form or by any means) with any third party, as I understand that all users of the data must obtain it directly from the distributor. 7. I will make appropriate acknowledgement of the contributor and distributor of the dataset in any manuscript or publication. 8. The distributor makes no warranties, express or implied, by operation of law or otherwise regarding or relating to the dataset.
The original collector of the data, SSRI, and the relevant funding agencies, bear no responsibility for the use of the data or for interpretations and inferences based upon such users.
Distribution Date: 

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