Teacher Follow-Up Survey (TFS)

Study Overview


The Teacher Follow-up Survey (TFS) is sponsored by the National Center for Education Statistics (NCES) on behalf of the U.S. Department of Education and is conducted by the U.S. Census Bureau. TFS is a follow-up survey of selected elementary and secondary school teachers who participated in the Schools and Staffing Survey (SASS). SASS is the largest, most extensive survey of K-12 school districts, schools, teachers, and administrators in the United States today. It provides extensive data on the characteristics and qualifications of teachers and principals, teacher hiring practices, professional development, class size, and other conditions in schools across the nation. TFS focuses on a sample of teachers who participated in SASS, including both teachers who left and teachers who remained in the K-12 teaching profession.

Sampling Procedures: 

The primary sample design objective for the TFS was to support comparative analyses of stayers, movers and leavers for teachers classified by sector (public and private), grade level taught (elementary and secondary), minority status, and years in teaching (new and experienced). In order to achieve the design objective, the sample of SASS respondents was grouped into 216 strata based on TFS status (stayer, mover, leaver, unknown status), sector (traditional public, public charter, private), grade level taught (elementary, middle, and high school), minority status, and years in teaching (1 year, 2-3 years, 4 or more years).

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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