Using Quotas Constructed from Auxiliary Data to Guide the Recruitment of Sites for Randomized Controlled Trials

Author:

Olsen Robert B.1,Vasquez-Rossi Maria L.2

Affiliation:

1. The George Washington Institute of Public Policy, George Washington University, Washington, District of Columbia, USA

2. The Trachtenberg School of Public Policy and Public Administration, George Washington University, Washington, District of Columbia, USA

Publisher

Informa UK Limited

Reference19 articles.

1. Estimates of External Validity Bias When Impact Evaluations Select Sites Nonrandomly

2. Clark, M., Max, J., James-Burdumy, S., Robles, S., McCullough, M., Burkander, P., & Malick, S. (2022). Study of Teacher Coaching Based on Classroom Videos: Impacts on Student Achievement and Teachers’ Practices. Appendix. NCEE-2022-006a. U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. https://files.eric.ed.gov/fulltext/ED619742.pdf

3. Czajka, J. L., & Beyler, A. (2016). Declining response rates in federal surveys: trends and implications (background paper). Mathematica Policy Research.

4. Cornesse C. (2020). The utility of auxiliary data for survey response modeling: Evidence from the German Internet Panel in Survey Methods: Insights from the Field Special issue: ‘Fieldwork Monitoring Strategies for Interviewer-Administered Surveys’. Retrieved from https://surveyinsights.org/?p=11849

5. Corrin, W., Zhu, P., Shih, M., Brown, K. T., Jr, Teres, J., Darrow, C., Nichols, A., & Lack, K. (2022). The Effects of an Academic Language Program on Student Reading Outcomes. Appendix. NCEE 2022-007a. U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. https://files.eric.ed.gov/fulltext/ED622461.pdf

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