Analyzing the Effects of a Repeated Reading Intervention on Reading Fluency With Generalized Linear Mixed Models.

Abstract

In the United States, only approximately one-third of students read at or above proficiency level. Moreover, the difference in reading proficiency of students is severely disproportionate for students with disabilities compared to students without disabilities. Reading fluency is a precursor for academic success and one of the six aspects of reading that contributes to effective reading skills. Many studies have examined the effectiveness of repeated reading to improve reading fluency. However, existing literature has mixed evaluations of whether repeated reading can be considered evidence-based reading intervention practice for students with disabilities. The current study examined the effects of a repeated reading intervention on reading fluency for three middle school students with learning disabilities. To address limitations of traditional single-case experimental design analytical methods such as visual analysis and nonoverlap indices, our study provided empirical researchers with a step-by-step procedure of using an advanced statistical method for single-case experimental designs, namely, generalized linear mixed models (GLMM) to analyze data. The results presented by GLMMs showed that repeated reading intervention can significantly improve reading fluency for some students with learning disabilities. Implications, limitations, and future directions from both empirical and methodological perspectives were also discussed.