Aggregating Student Achievement Trends Across States With Different Tests: Using Standardized Slopes as Effect Sizes

作者: Robert K. Yin , R. James Schmidt , Frank Besag

DOI: 10.1207/S15327930PJE8102_3

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摘要: The study of federal education initiatives that takes place over multiple years in settings often calls for aggregating and comparing data-in particular, student achievement data-across a broad set schools, districts, states. need to track the trends time is complicated by fact data from different states also may have been based on tests. This article suggests one approach defining common metric: calculating standardized slope series datapoints. serves as an effect size statistic. Meta-analytic techniques can be employed because test results therefore considered equivalent findings studies.

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