Course

Objective:

Learning Outcomes:

• Distinguish between business research, decision support, and business intelligence systems
• Understand research ethics and codes of- conduct issues, the goal of 'no harm,' and differing dilemmas for participants, researchers, and research sponsors
• Describe the strengths and weaknesses of various designs of observation approaches and when these studies are most useful
• Describe the management research question hierarchy
• Explain the importance and applicability of editing, coding, and content analysis, and how to deal with 'don't know' responses and missing data
• Understand when and how exploratory data analyses and cross-tabulation techniques are used
• Define hypothesis testing development and procedures, statistical significance, and parametric versus nonparametric techniques
• Describe multivariate techniques and their applicability
• Discuss what's required to formulate a research hypothesis
• Describe what's included in research design, data collection, data analysis, and reporting, including the influence of the budgeting process
• Explain the basic stages, major types, major descriptions, and relationships between variables in research design
• Compare and contrast qualitative and quantitative methods and discuss the variety of and controversies surrounding qualitative methods
• Understand the process for selecting appropriate and optimal communications approaches
• Explain the relationship between attitudes and behavior
• Discuss the impact of the communication method and question construction on instrument design

General Topics: