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Analyzing the Effects of a Repeated Reading Intervention on Reading Fluency With Generalized Linear Mixed Models
Haoran Li1, Sarah M Avendaño2, Moon Young Savana Bak1
1University of Minnesota, USA.
Repeated reading intervention significantly improves reading fluency for some students with learning disabilities. This study introduces advanced statistical methods for analyzing single-case experimental designs in educational research.
Area of Science:
- Education
- Special Education
- Applied Linguistics
Background:
- Reading proficiency is a critical skill, yet many US students, particularly those with disabilities, fall below proficiency levels.
- Reading fluency is a foundational component of effective reading skills, impacting overall academic success.
- Existing research on repeated reading interventions for students with disabilities yields mixed results regarding its evidence-based status.
Purpose of the Study:
- To investigate the impact of a repeated reading intervention on the reading fluency of middle school students with learning disabilities.
- To provide a methodological framework using generalized linear mixed models (GLMM) for analyzing single-case experimental design data.
- To contribute empirical evidence on the effectiveness of repeated reading for this student population.
Main Methods:
- A single-case experimental design was employed with three middle school students diagnosed with learning disabilities.
- The intervention involved a structured repeated reading program.
- Generalized linear mixed models (GLMM) were utilized for advanced statistical analysis of the collected reading fluency data.
Main Results:
- The generalized linear mixed models (GLMM) analysis demonstrated a statistically significant improvement in reading fluency for participants undergoing the repeated reading intervention.
- The findings suggest that repeated reading can be an effective intervention for enhancing reading fluency in certain students with learning disabilities.
- The study successfully demonstrated the application of GLMM for analyzing single-case experimental data.
Conclusions:
- Repeated reading intervention shows promise as a method to improve reading fluency in middle school students with learning disabilities.
- The application of generalized linear mixed models (GLMM) offers a robust statistical approach for single-case experimental designs in educational research.
- Further research is warranted to explore the nuances of repeated reading effectiveness and refine analytical methodologies for special education interventions.
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