Comprehensive Evaluation of a Data-Based Problem Solving Reading Model

by Schneider, Chelsey Charl

Abstract (Summary)
The purpose of this study was to provide a comprehensive evaluation of a data-based problem solving model for the assessment and intervention of reading problems. The research design was a multiple baseline across ten participants. The length of the baseline varied before the treatment phase was applied to indicate if the change in performance corresponded with the introduction of treatment. This design allowed the researcher to determine if the application of treatment was truly influencing the change in reading performance. First, the study examined if an individualized, data-based problem solving model leads to increased oral reading fluency for children at risk for poor reading outcomes. Second, the study examined if an individualized data-based problem solving model leads to generalized effects on comprehension, prosody, academic engagement, and self-efficacy. Third, the study examined if self-efficacy is a significant predictor to response to intervention.
Bibliographical Information:


School:Miami University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:reading model data base problem solving multiple baseline design


Date of Publication:01/01/2008

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