Buy Guided BUSI 820 – Quantitative Research Methods


Buy Guided BUSI 820-Quantitative Research Methods

Course Description

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 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)

For information regarding the prerequisites for this course, please refer to the Academic Course Catalog.


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 coursework 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 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
Christian worldview.

The DBA program philosophy supports both the program mission and vision and is as follows.
Ph.D. programs in business focus intensively on preparing candidates for academic careers and
conducting highly specialized academic research, i.e., the development of new theories 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 its focus on
the application of theory, has more practical application in managerial settings than the Ph.D.

Measurable Learning Outcomes

Upon successful completion of this course, the student will be able to:

  1. Organize, manage, evaluate, and prepare data for statistical analysis (Synthesis, DBA
    PLO 1 & 2).
  2. Select the appropriate statistical method based on an evaluation of the hypothesis
    and the variables (Evaluation, DBA PLO 1 & 2).
  3. Conduct the appropriate statistical analysis, interpret the results, and present the
    findings (Evaluation, DBA PLO 1 & 2).
  4. Discuss the work of quantitative analysis in research from a Biblical worldview
    (Synthesis, DBA PLO 4).

Course Assignment

Textbook readings and presentations

Course Requirements Checklist

After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.

Discussions (9)

Discussions are collaborative learning experiences. Therefore, this course requires 9 distinct Discussions. The specific requirements, point weights, grading rubrics, and due dates are listed in the Course Content section of Canvas.

Quantitative Assignments (8)

This course requires 8 distinct Quantitative Assignments. The specific requirements, point weightings, grading rubrics, and due dates are listed in the Course Content section of Canvas.

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