Early Childhood Longitudinal Study Program, Birth Cohort (ECLS-B)

Study Overview


The Early Childhood Longitudinal Study (ECLS) program includes three longitudinal studies that examine child development, school readiness, and early school experiences. The birth cohort of the ECLS-B is a sample of children born in 2001 and followed from birth through kindergarten entry.οΎ The ECLS program provides national data on children's status at birth and at various points thereafter; children's transitions to nonparental care, early education programs, and school; and children's experiences and growth through the eighth grade. The ECLS program also provides data to analyze the relationships among a wide range of family, school, community, and individual variables with children's development, early learning, and performance in school.

Sampling Procedures: 

The Early Childhood Longitudinal Study, Birth Cohort (ECLS-B) selected a nationally representative probability sample of children born in 2001. Births were sampled within a set of primary sampling units (PSUs) and in some cases secondary sampling units (SSUs) in order to control data collection costs. Children were mostly sampled via registered births from the National Center for Health Statistics (NCHS) vital statistics system (Hetzel 1997). This clustered list-frame design allowed for maximum, efficient coverage of the target population and was considered preferable to other approaches that would involve large screening efforts or coverage errors (e.g., sampling hospitals and other birthing places, augmenting household surveys, or sampling birth certificates available at a variety of levels: NCHS, state registrars, and county and local records offices). Over 14,000 births were sampled and fielded and yielded 10,688 9-month cases with at least a completed interview with the child's parent.

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.

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