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Link to Resource: Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments

´¡³Ü³Ù³ó´Ç°ù²õ:ÌýBenjamin Shear, University of ¾«Í¯ÓûÅ®

This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score data in ¾«Í¯ÓûÅ® to compare three different statistical adjustments that have been used to make inferences about pandemic impacts. Results illustrates how unadjusted cross-year comparisons may be misleading and highlight instances when the statistical adjustments can lead to different conclusions about the relative impacts for different groups of students.