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比较阅读困难学生和非阅读困难学生在阅读理解评估上的差异:一项元分析。

Comparing Students With and Without Reading Difficulties on Reading Comprehension Assessments: A Meta-Analysis.

机构信息

1 Texas State University, San Marcos, USA.

2 Vanderbilt University, Nashville, TN, USA.

出版信息

J Learn Disabil. 2018 Mar/Apr;51(2):108-123. doi: 10.1177/0022219417704636. Epub 2017 Apr 13.

Abstract

Researchers have increasingly investigated sources of variance in reading comprehension test scores, particularly with students with reading difficulties (RD). The purpose of this meta-analysis was to determine if the achievement gap between students with RD and typically developing (TD) students varies as a function of different reading comprehension response formats (e.g., multiple choice, cloze). A systematic literature review identified 82 eligible studies. All studies administered reading comprehension assessments to students with RD and TD students in Grades K-12. Hedge's g standardized mean difference effect sizes were calculated, and random effects robust variance estimation techniques were used to aggregate average weighted effect sizes for each response format. Results indicated that the achievement gap between students with RD and TD students was larger for some response formats (e.g., picture selection ES = -1.80) than others (e.g., retell ES = -0.60). Moreover, for multiple-choice, cloze, and open-ended question response formats, single-predictor metaregression models explored potential moderators of heterogeneity in effect sizes. No clear patterns, however, emerged in regard to moderators of heterogeneity in effect sizes across response formats. Findings suggest that the use of different response formats may lead to variability in the achievement gap between students with RD and TD students.

摘要

研究人员越来越多地研究阅读理解测试分数的差异来源,特别是针对阅读困难(RD)的学生。本元分析的目的是确定 RD 学生和典型发展(TD)学生之间的阅读成绩差距是否因不同的阅读理解反应格式(例如,多项选择、完形填空)而有所不同。系统文献综述确定了 82 项符合条件的研究。所有研究都在幼儿园到 12 年级向 RD 和 TD 学生施测阅读理解评估。计算了 Hedge 的 g 标准化均数差异效应量,并使用随机效应稳健方差估计技术汇总了每种反应格式的平均加权效应量。结果表明,对于某些反应格式(例如,图片选择 ES=-1.80),RD 学生和 TD 学生之间的成绩差距大于其他反应格式(例如,复述 ES=-0.60)。此外,对于多项选择、完形填空和开放式问题反应格式,单预测元回归模型探讨了效应量异质性的潜在调节因素。然而,对于不同反应格式的效应量异质性的调节因素,没有出现明确的模式。研究结果表明,使用不同的反应格式可能会导致 RD 学生和 TD 学生之间的成绩差距存在差异。

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