Upon successful completion of this course participants will be able to:
- Explain why quantitative analysis and analytics is important in decision making
- Explain the types of decisions that can be made analytically in an organizational setting
- Describe different decision making models and tools
- Identify the fundamental concepts of measurement including levels of measurement, reliability and validity, errors, measurement and information bias
- Explain how quality data affects decision making (GIGO principle)
- Describe methods of ensuring the quality of data
- Evaluate techniques for ensuring accurate research design
- Describe how research is used in different settings: business, education, health care, the military, government, nonprofits
- Explain data management techniques including transforming data, recoding data, and handling missing data
- Apply appropriate decision making techniques to a specific case