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Drawing from data use theory (i.e., a theory for making data-driven educational decisions), the present study sought to understand how frequency of standardized testing is related to student learning, mediated by reading instruction, after controlling for child-level (e.g., gender, race/ethnicity) and school-level covariates (e.g., private/public, proportion of students eligible for free lunch). Using data from the Early Childhood Longitudinal Study Kindergarten Cohort of 2010–2011, the sample included 12,241 children attending 1067 kindergartens in the U.S. findings from a multilevel structural equation mediation model suggest that the frequency of state/local standardized testing in kindergarten did not have a direct effect on reading achievement near the end of kindergarten, after controlling for covariates. However, the amount and type of reading instruction mediated the relationship between the frequency of testing and reading achievement, after controlling for covariates. The implications for policy and practice on the use of standardized tests in kindergarten are discussed.  相似文献   

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