Using school-level student achievement to engage in formative evaluation: comparative school-level rates of oral reading fluency growth conditioned by initial ... View Full Text


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Article Info

DATE

2014-05-05

AUTHORS

Kelli D. Cummings, Michael L. Stoolmiller, Scott K. Baker, Hank Fien, Edward J. Kame’enui

ABSTRACT

We present a method for data-based decision making at the school level using student achievement data. We demonstrate the potential of a national assessment database [i.e., the University of Oregon DIBELS Data System (DDS)] to provide comparative levels of school-level data on average student achievement gains. Through the DDS as a data source, and the analytic methods we outline, we illustrate one way that schools can engage in system-level formative evaluation by examining their students’ gains across an academic year conditional on initial skill level relative to the performance of a large sample of other schools. We provide the empirical Bayes estimates of school-level effects and their associated standard errors for second grade, DIBELS oral reading fluency using a percentile band plot. We illustrate a practical way that schools could use this output to improve their data-based decision making procedures. More... »

PAGES

105-130

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11145-014-9512-5

DOI

http://dx.doi.org/10.1007/s11145-014-9512-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046981028


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