III-a Introduction to Quantitative Data Analysis

Description of workshop contents

This workshop focuses on the use of probability sampling, quantitative analysis and data visualization to improve the quality and efficiency of development evaluations. On one hand, quantitative data analysis provided policy makers with quantifiable and easy to understand results. On the other hand, probability sampling help policy makers to generalize their results to the population of interest. Hence, both of these give policy makers the objective 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.

The workshop also helps participants understand how to use the various probability sampling strategies. Topics include, simple random sampling, systematic sampling, stratified sampling, PPS sampling, multi-stage sampling, etc.… Participants practice skills throughout the workshop using Excel and web-based tools, as well as working in small groups.

Date & Time Workshop Topic
July 29th - Morning Basic Concepts in Statistics
Measurement Scales
Measure of Central Tendency
Measure of Variation
Group Work
July 29th - Afternoon Frequency and Percentage
Likert, Ranking, and Rating
Comparison to a Benchmark
Comparing two groups
Group Work
Crosstabulation and the Chi-Square Test
Group Work
July 30th - Morning ANOVA Basics
Simple Linear Regression
Group Work
Probability Sampling Essentials
How to perform Simple Random Sampling
How to Perform Systematic Sampling
How to Perform Stratified Sampling
July 30th - Afternoon Group Work
What is a Multistage Sampling
First Stage Selection of Clusters: Probability Proportional to Size (PPS)
Second Stage Selection: Systematic Sampling
Group Work
July 31st - Morning Possible Third Stage Selection: Kish Grid
Group Case Study Presentation
Awards and Closing Ceremony

Workshop Objectives

At the end of this workshop participants should be able to:

  • know how to make evidence-based decision using the various descriptive statistics;
  • perform basic inference using correlation analysis and contingency tables;
  • develop an understanding of the various types of probability sampling;
  • develop skills in drawing several types of probability samples;
  • develop awareness of several free web-based and Excel tools used in sampling;
  • know how to present results of an evaluation using data visualization tools.

Recommended for

New and seasoned M&E specialists, junior and senior evaluators interested in evidence-based evaluation as well as returning IPDETers.


This is an intermediate level workshop and 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;
  • possess an intermediate level of MS. Excel and Power Point Presentation;
  • be able to work in a team open-minded;


Bassirou Chitou