The Relationship Between Study Quality and the Effects of Supplemental Reading Interventions: A Meta-Analysis

Author:

Austin Christy R.1,Wanzek Jeanne2,Scammacca Nancy K.1,Vaughn Sharon1,Gesel Samantha A.2,Donegan Rachel E.2,Engelmann Morgan L.1

Affiliation:

1. University of Texas at Austin

2. Vanderbilt University

Abstract

Empirical studies investigating supplemental reading interventions for students with or at risk for reading disabilities in the early elementary grades have demonstrated a range of effect sizes. Identifying the findings from high-quality research can provide greater certainty of findings related to the effectiveness of supplemental reading interventions. This meta-analysis investigated how four variables of study quality (study design, statistical treatment, Type I error, and fidelity of implementation) were related to effect sizes from standardized measures of foundational reading skills and language and comprehension. The results from 88 studies indicated that year of publication was a significant predictor of effect sizes for both standardized measures of foundational reading skills and language and comprehension, with more recent studies demonstrating smaller effect sizes. Results also demonstrated that with the exception of research design predicting effect sizes on foundational reading skills measures, study quality was not related to the effects of supplemental reading interventions. Implications for research and practice are discussed.

Funder

Office of Special Education and Rehabilitative Services

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Institute of Education Sciences

Publisher

SAGE Publications

Subject

Developmental and Educational Psychology,Education

Reference30 articles.

1. Borenstein M., Hedges L. V., Higgins J. P. T., Rothstein H. R. (2013). Comprehensive meta analysis (Version 3.3070). [Computer software]. Englewood, NJ: Biostat.

2. Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis

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