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Research Methods, Design, And Analysis –

qnt565

(3 credits)

This course applies research and probability concepts to project management decisions. Students will evaluate feasibility, manage risk, and measure outcomes for a project. Other topics include measures of central tendency & dispersion, program evaluation, research design, data sampling, and analysis & presentation.

This graduate-level course is 6 weeks. To enroll, speak with an Enrollment Advisor.
  • The Purpose of Business Research

    • Determine the significance, scope, magnitude, and feasibility of finding a solution to the situation, risk management, or opportunity.
    • Identify ethical issues involved in business research.
    • Develop the purpose of the research, research questions, and hypotheses.
  • Types of Research Design

    • Differentiate between qualitative and quantitative methods of research.

    • Explain commonly used qualitative research designs and quantitative research designs.

    • Select the appropriate type of research design in a given business situation.

  • Measurement and Data Collection

    • Differentiate among the four levels of measurement and how they are used in data collection for research.

    • Develop the data collection instruments.

    • Differentiate among sampling methods and their application in business research.

  • Descriptive Data Analysis Approaches

    • Prepare collected data for analysis.

    • Differentiate between descriptive statistics and inferential statistics.

    • Calculate central tendency and dispersion.

    • Calculate the correlation between two variables.

  • Inferential Data Analysis Approaches

    • Differentiate between parametric tests and nonparametric tests.
    • Determine the data analysis approach for a data set.

    • Apply the steps in testing a research hypothesis.

    • Compare the means of two or more groups.

  • Research Findings

    • Interpret data analysis results to reach conclusions.

    • Make a recommendation about a problem or project based on data analysis results and conclusions drawn.

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