DDBA 8437 – Quantitative Decision Making in Professional Practice
This course serves as a research competency component preparing students for research analysis requisite of the final doctoral capstone study as well as professional practice. In this course, students practice using descriptive statistics, statistical inference, and quantitative techniques, including analysis of variance and covariance, multiple linear regressions, and various non-parametric techniques. They examine methods of using software for data analysis. Students apply qualitative data reduction as well as analysis and data management techniques to enhance productivity. They engage in coursework focusing on key concepts and issues in the conduct of data analysis in management-oriented social science research, including the role of distribution assumptions underlying various hypothesis tests, the computational details of various tests, and the use of readily available statistical software packages. This course is not intended for students to become fully grounded in statistical methods; rather, students learn appropriate questions to ask about data analysis as well as how to defend their use of specific techniques in professional practice.
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