Quantitative Methods in Evaluation
This course introduces approaches to data collection and analysis. In the quantitative methods sessions, examine quantitative research designs and their applications in evaluation, explore sampling methods, and learn to develop quantitative measurement tools. Design simple surveys, and become familiar with varied types of quantitative instruments. Also, analyze quantitative studies to understand implications of findings for effectiveness and sustainability, as well as secondary data sets to understand the basics of statistical relationships and modeling.
COURSE TOPICS:
- Introduction: Getting quantitative research designs right
- Gathering your own data: Beginning survey design
- Basic descriptive statistics: Mean, median, mode, minimum, maximum, range, and visualization
- Advanced descriptive statistics: Interquartile range and standard deviation
- Correlation + introduction to inferential statistics
- Inferential statistics: Introduction to RStudio and t-tests
- Inferential statistics continued: Chi square and ANOVA
This is an instructor-led virtual course with weekly asynchronous modules. Students are required to attend at least three of the seven synchronous live sessions.
You'll Walk Away with
- An understanding of quantitative methods for use in program evaluation
- The ability to understand and communicate the results of your data analysis
- The skills to develop basic quantitative research designs
- Knowledge of the basic principles of survey design and implementation
Ideal for
- Professionals interested in the field of monitoring and evaluation
- Students pursuing the Certificate in Monitoring and Evaluation
NO open sections available for this course at the moment. Please check back next semester.
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Section
1 -
Semester
Spring 2024 -
Date
Feb 15 - Mar 28 -
Day
Thursday -
Time
Day / Evening -
Sessions
7 -
Faculty
DiLuzio, Elizabeth -
Location
Instructor Led
Tuition $849 -