Term of Award
Doctor of Education in Educational Leadership (Ed.D.)
Document Type and Release Option
Dissertation (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department of Leadership, Technology, and Human Development
Committee Member 1
Committee Member 2
The purpose of this study was to ascertain the relationship between teachers’ perception of data-driven instructional leadership and their sense of self-efficacy and anxiety towards data-driven decision-making. Additionally, the research study examined if teachers’ school level (elementary or secondary) influenced their perception of data-driven instructional leadership and their sense of self-efficacy and anxiety towards data-driven decision-making. The researcher utilized a correlational research design and correlational/regression analysis to conduct this study based on the theoretical framework of Bandura’s social learning theory. The researcher surveyed 300 full-time certified educators in a rural school district located in the southeastern United States using the Data-informed School Leadership Framework (DISL) and Data-driven Decision-making (DDDM) Efficacy and Anxiety instruments (3D-MEA). The results of the correlational analysis indicated a strong positive relationship indicating that those with higher DISL scores tended to report higher DDDM efficacy. The results of the correlational analysis also indicated that a significant relationship did not exist between DISL scores and DDDM anxiety. Finally, multiple regression analyses revealed that data-driven instructional leadership was a significant predictor of DDDM efficacy; however, data-driven instructional leadership was not a significant predictor of DDDM anxiety. In addition, school level was not significant in either equation reflecting similar findings at both the elementary and secondary levels.
Price, Jarvis J., "The Relationship Between Teachers' Perceptions of Data-Driven Instructional Leadership and Their Sense of Efficacy and Anxiety for Data-Driven Decision-Making" (2018). Electronic Theses & Dissertations.
Research Data and Supplementary Material