Which Variables Associated with Data-Driven Instruction Are Believed to Best Predict Urban Student Achievement?

This study identified the variables associated with data-driven instruction (DDI) that are perceived to best predict student achievement. Of the DDI variables discussed in the literature, 51 of them had a sufficient enough research base to warrant statistical analysis. Of them, 26 were statistically...

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Bibliographic Details
Main Author Greer, Wil
Format Dissertation
LanguageEnglish
Published ProQuest LLC 2013
Subjects
Academic Achievement
Achievement Gap
Data
Equal Education
Feedback (Response)
Formative Evaluation
Information Utilization
Instructional Leadership
Multiple Regression Analysis
Predictor Variables
Scores
Teacher Collaboration
Teacher Effectiveness
Teamwork
Urban Education
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Summary:This study identified the variables associated with data-driven instruction (DDI) that are perceived to best predict student achievement. Of the DDI variables discussed in the literature, 51 of them had a sufficient enough research base to warrant statistical analysis. Of them, 26 were statistically significant. Multiple regression and an iterative process of coding and recoding open-ended responses were used to identify perceived achievement predictors. Among the most important achievement predictor variables were working in grade- or content-alike teams, understanding and using DDI as a tool for closing achievement gaps, and having school leadership provide a clear vision for data use. In addition to achievement, a number of variables were perceived to predict equity, educator effectiveness, and educator efficacy. Open-ended responses revealed that DDI was perceived as a critical aid to future instruction and as a powerful tool for feedback. On the other hand, it was also perceived as time-consuming and as provoking a narrow focus on test scores. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ISBN:9781303361029
1303361027