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Avi Feller; Maia C. Connors; Christina Weiland; John Q. Easton; Stacy B. Ehrlich; John Francis; Sarah E. Kabourek; Diana Leyva; Anna Shapiro; Gloria Yeomans-Maldonado – Grantee Submission, 2024
One part of COVID-19's staggering impact on education has been to suspend or fundamentally alter ongoing education research projects. This article addresses how to analyze the simple but fundamental example of a multi-cohort study in which student assessment data for the final cohort are missing because schools were closed, learning was virtual,…
Descriptors: COVID-19, Pandemics, Kindergarten, Preschool Children
Luke W. Miratrix; Jasjeet S. Sekhon; Alexander G. Theodoridis; Luis F. Campos – Grantee Submission, 2018
The popularity of online surveys has increased the prominence of using weights that capture units' probabilities of inclusion for claims of representativeness. Yet, much uncertainty remains regarding how these weights should be employed in analysis of survey experiments: Should they be used or ignored? If they are used, which estimators are…
Descriptors: Online Surveys, Weighted Scores, Data Interpretation, Robustness (Statistics)