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  • Publish Date:2020/10/30
    Modify Date:2020/11/13

[OR-Announce] [ICPSR] ICPSR Webinar Alert: Join Us for Baby FACES 2018: Access and Use Data from the Early Head Start Family and Child Experiences Survey

 

 

 

Subject: [OR-Announce] [ICPSR] ICPSR Webinar Alert: Join Us for Baby FACES 2018: Access and Use Data from the Early Head Start Family and Child Experiences Survey

 

 

Baby FACES 2018: Access and Use Data from the Early Head Start Family and Child Experiences Survey

Join us for a webinar on Nov 04, 2020 at 1:00 PM EST.

Register now!

 

The Early Head Start Family and Child Experiences Survey (Baby FACES) is a nationally representative descriptive study of Early Head Start. Using a cross-sectional design, the second cohort of Baby FACES was fielded in the spring of 2018. Baby FACES provides a comprehensive snapshot of Early Head Start in the Administration for Children and Families’ (ACF) Regions I through X with a nationally representative sample of:

• Programs and centers;
• Home visitors;
• Teachers and classrooms; and
• Enrolled families with children birth to three and pregnant women.

These data focus on the processes in the classrooms and home visits that support responsive relationships, including teacher-child relationships, staff-parent relationships, and parent-child relationships. The webinar will provide researchers and analysts with:

• An overview of Early Head Start and Baby FACES;
• Baby FACES 2018 methods;
• Baby FACES 2018 highlights;
• Questions that can be answered and considerations;
• Information about the data files;
• Guidance on accessing the dataset (http://myumi.ch/ZQ87q), including ICPSR’s standard application process and the submission of the signed data use agreement.

Visit https://www.acf.hhs.gov/opre/research/project/early-head-start-family-and-child-experiences-study-baby-faces for more information about the Baby FACES Study methodology, sample, measures, and findings.

Hosts: Child & Family Data Archive at ICPSR, Mathematica, and ACF’s Office of Planning, Research, and Evaluation

For questions, contact archive staff at CFData-help@umich.edu.

After registering, you will receive a confirmation email containing information about joining the webinar.

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