Assessing the Use of Aggregate Data in the Evaluation of School-Based Interventions: Implications for Evaluation Research and State Policy Regarding Public-Use Data

被引:25
|
作者
Jacob, Robin T. [1 ,2 ]
Goddard, Roger D. [3 ]
Kim, Eun Sook [4 ]
机构
[1] Univ Michigan, Inst Social Res, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Educ, Ann Arbor, MI 48109 USA
[3] Mid Continent Res Educ & Learning, Denver, CO USA
[4] Univ S Florida, Tampa, FL 33620 USA
关键词
MULTILEVEL ANALYSIS; STATISTICAL POWER; LEVEL; DESIGNS;
D O I
10.3102/0162373713485814
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions and the use of this data is more appropriate than commonly thought. Specifically, we explore (a) when point estimates and standard errors differ between models that use individual student-level data and those that use aggregate school-level data, (b) the potential for conducting subgroup and nonexperimental analyses with aggregate data, and (c) the metrics that are currently available in state public-use data sets and the implications these have for analyses. © 2013 AERA.
引用
收藏
页码:44 / 66
页数:23
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