一项多地点随机对照试验的有效性

IF 3.5 1区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

American Educational Research Journal Pub Date : 2020-10-01 DOI:10.3102/0002831219890612

Geoffrey D. Borman, Trisha H. Borman, So Jung Park, Scott Houghton

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引用次数: 3

摘要

我们介绍了一项随机对照试验的结果，该试验是一项旨在提高阅读困难的西班牙语一年级学生读写能力的干预措施。DLL为每一所学校表现最差的一年级学生提供为期12至20周的一对一母语读写指导。对187名学生的读写能力结果进行了层次线性模型分析，结果显示，学生水平的DLL作业对所有9项评估结果都有统计学上的显著影响。影响高达1.24个标准差，或相对于控制超过一整个学年的成就增长的学习优势。9项扫盲措施的平均效应值d = 0.66，约等于一年级整体扫盲增长的三分之二。

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A Multisite Randomized Controlled Trial of the Effectiveness of Descubriendo la Lectura

We present findings from a randomized controlled trial of Descubriendo la Lectura (DLL), an intervention designed to improve the literacy skills of Spanish-speaking first graders, who are struggling with reading. DLL offers one-on-one native language literacy instruction for 12 to 20 weeks to each school’s lowest performing first-graders. Examining literacy outcomes for 187 students, hierarchical linear model analyses revealed statistically significant effects of student-level assignment to DLL on all 9 outcomes evaluated. Impacts were as large as 1.24 standard deviations, or a learning advantage relative to controls exceeding a full school year of achievement growth. The mean effect size of d = 0.66 across the nine literacy measures is equal to approximately two thirds of the overall literacy growth that occurs across the first-grade year.

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来源期刊

American Educational Research Journal EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

8.70

自引率

0.00%

发文量

期刊介绍： The American Educational Research Journal (AERJ) is the flagship journal of the American Educational Research Association, featuring articles that advance the empirical, theoretical, and methodological understanding of education and learning. It publishes original peer-reviewed analyses that span the field of education research across all subfields and disciplines and all levels of analysis. It also encourages submissions across all levels of education throughout the life span and all forms of learning. AERJ welcomes submissions of the highest quality, reflecting a wide range of perspectives, topics, contexts, and methods, including interdisciplinary and multidisciplinary work.