Quantitative Research Methods – BUSI 820
CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 07/28/2020
This course is designed to prepare doctoral students to apply statistical methods to problems in business administration. Students will learn the fundamental concepts, designs, principles, and statistical skills necessary to perform an empirical study. This will include a basic knowledge of the nature of quantitative methods and the principles of experimental design. Upon conclusion of the course, students will be able to differentiate between a variety of models and statistical methods appropriate to business administration research. (Formerly BUSI 720)
BUSI 700 and BUSI 710 and (BUSI 715 or BUSI 815) and BUSI 730 and BUSI 740 and BUSI 750 and BUSI 755 and BUSI 760 and BUSI 770
Applied statistical methods help investigate and provide solutions to business problems.
Quantitative statistics builds foundational skills relevant to research methodologies used in
business studies as well as industry.
The mission of the DBA program is to provide an opportunity for qualified students to attain
academic, professional, and practical competence—within the Christian worldview—which
prepares students for opportunities, and corresponding additional responsibilities, beyond the
master’s degree level. The DBA program emphasizes practical and real‐world applications in
both the course work and the major applied doctoral research project requirements.
The vision of the DBA program is to produce graduates with intellectual and professional
competencies in the following areas:
- the ability to present and defend arguments based on theories, concepts, and
empirical evidence in matters relating to research methodology and research design,
as well as those relating to the business disciplinary domain in which the research is
- the ability to demonstrate the capacity for reflective and analytical business
- the ability to draw together relevant concepts and theories from different business
disciplines in order to gain a better understanding of the organizational context in
which particular problems or opportunities arise;
- the ability to analyze problems and issues arising in business and management
contexts, utilizing relevant theories, concepts, and empirical findings;
- the ability to identify and analyze questions and issues in business; and
- the ability to design, implement, and successfully conclude empirical research
Each of the above will be considered in light of biblical principles, and be integrated within the
The DBA program philosophy supports both the program mission and vision, and is as follows.
PhD programs in business focus intensively on preparing candidates for academic careers and
to conduct highly specialized academic research, i.e., the development of new theory in
business and other related business fields. Doctor of Business Administration (DBA) programs
focus on the application of theory rather than on the development of new theory. While also
intended to prepare graduates for academic careers, the DBA, by virtue of its focus on
application of theory, has more practical application in managerial settings than the PhD.
Measurable Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Organize, manage, evaluate, and prepare data for statistical analysis (Synthesis, DBA
PLO 1 & 2).
- Select the appropriate statistical method based upon an evaluation of the hypothesis
and the variables (Evaluation, DBA PLO 1 & 2).
- Conduct the appropriate statistical analysis, interpret the results, and present the
findings (Evaluation, DBA PLO 1 & 2).
- Discuss the work of quantitative analysis in research from a Biblical worldview
(Synthesis, DBA PLO 4).
Textbook readings and presentations
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in Module/Week 1.
Discussion Board Forums (9)
Discussion boards are collaborative learning experiences. Therefore, this course requires 9 distinct discussion forums. The specific requirements, point weightings, grading rubrics, and due dates are listed in the Course Content section of Blackboard.
This course requires 8 distinct Assignments. The specific requirements, point weightings, grading rubrics, and due dates are listed in the Course Content section of Blackboard.