This course focuses on quantitative methods in monitoring and evaluation research. Students develop an understanding of this often intimidating and difficult subject with an informative and clear approach. Topics covered include descriptive statistics, correlation, and graphical representation of data through inferential techniques, analysis of variance, and more. Coursework provides opportunities to design and apply quantitative evaluations and data collection instruments, appraise sampling methods, apply statistical measures to test hypotheses, deploy statistical software for quantitative data management and analysis, and produce descriptive and inferential analytical reports that meet professional standards in the field.
Sample topics throughout the course include:
- Introduction to quantitative research
- Sampling and questionnaire design
- Collecting and managing quantitative data
- Measures of central tendency
- Correlations
- T-test and analysis of variance
- Regression analysis
Examples of assignments include:
- Research project using an organization in students’ communities
- Data collection plan
- Working with variables
- Data analysis and visualization
- Regression analysis
Course Outcomes
Upon completing this course, you should be able to:
- Differentiate between different types of quantitative research.
- Identify and describe the different types of validity and reliability.
- Develop and test a hypothesis using quantitative research methods.
- Apply various descriptive and inferential statistics.
- Use statistical software for data management, analysis, and presentation of findings.
- Evaluate different strategies to analyze quantitative data.
- Comprehend the importance of ethical considerations related to the collection of quantitative data.
Click here for the official course description from the American University Catalog.
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