EDU 917 - Research Methods & Data Analysis

Educational leaders must understand the process of scientific inquiry in order to critique and design educational research relevant to their fields of study. This course overviews quantitative research design, data-based Inference, qualitative design, and data analysis in practice based research. Students are introduced to foundational theories in educational research. They are exposed to how these theories have been used to explain problems of practice in the K-12 sector and/or higher educational settings. Students then have an opportunity to explore the characteristics and possibilities of quantitative and qualitative approaches by applying the learning into data collection and analysis. The projects in the course allow students to create a draft doctoral problem statement (DPS), and analyze different theoretical frameworks to help create the foundation for their theoretical framework and complete a literature review for their proposed topic of study.

3 Semester Credit(s)

Crosslisted with: N/A
Laboratory/Experience Hours: N/A
Prerequisite(s): N/A
Corequisite(s): N/A
Repeatable for Credit: No
Core Course: No
Grade Type: LT