Trainer: Bassirou Chitou
Level: Beginning/Intermediate
Language: English
Workshop description:
This workshop deals with quantitative analysis and data visualization to improve the quality and efficiency of development evaluations. Quantitative data analysis provided policy makers with key findings, metrics or indicators that are easy to understand and that drive actions. These findings give policy makers the evidences to generate or inform policy at regional or national level.
This workshop introduces participants to the basics of descriptive as well as of inferential statistics. The discussion includes, measurement scales, measure of central tendency, measure of variability, confidence interval, simple linear correlation, and contingency tables.
During this workshop the following topics will be addressed:
- Basic Concepts in Statistics
- Measurement Scales
- Measure of Central Tendency
- Measure of Variation
- Group Work
- Frequency and Percentage
- Likert, Ranking, and Rating
- Comparison to a Benchmark
- Comparing two groups
- Group Work
- Crosstabulation and the Chi-Square Test
- Group Work
- ANOVA Basics
- Correlation
- Simple Linear Regression
The treatment of the various topics is conceptual and practical. A lot of hands-on help participants practice and understand the various concepts. To be able to participate in this workshop, participants are required to: have a good experience/knowledge of various evaluation methods; have a good understanding or experience of elementary statistics possess an intermediate level of MS. Excel and Power Point Presentation; be open-minded.
Learning outcomes:
At the end of this workshop participants should be able to:
- Understand the essentials of descriptive and inferential statistics;
- know how to make evidence-based decision using the various descriptive statistics;
- perform basic inference using correlation analysis and contingency tables;
- know how to present results of an evaluation using data visualization tools.
The workshop is targeted to new and seasoned M&E specialists, government officials, UN staff, NGO staff, as well as junior and senior evaluators interested in evidence-based evaluation.