Measuring impact quantitatively
Welcome to the course “Measuring impact quantitatively”. This is a series of three sessions for professionals interested in learning more about measuring impact.
It is highly recommended that you watch the recordings of all webinars in their consecutive order so as to benefit from the complete course.
These are free training sessions provided by the ActivityInfo team.
Are these sessions for me?
- Are you an M&E practitioner responsible for designing surveys and data collection tools for your programmes?
- Do you wish to learn more about working with quantitative data and statistics?
- Do you wish to understand better surveys and how you can demonstrate the impact of your programmes?
- Are you interested in constantly improving your systems?
Then, get started with these sessions!
Designing and collecting data
During this session, we focus on the 'design and collect' process.
In summary, we explore:
- What is a quantitative impact evaluation?
- Sources of measurement error
- Statistics for reliability
- Using cognitive interviewing to improve survey instruments
- Designing experiments
Statistics for impact measurement
During this session, we look at measuring impact and using statistics.
In summary, we explore:
- Designing impact evaluations
- Modelling randomness in the measurement process
- Moving from statistical significance (p-values) to measures of effect size and confidence intervals
Effect sizes
During this session, we look at statistics for demonstrating impact from data from random samples.
In summary, we explore:
- Understand measures of statistical significance (p-values)
- Moving from statistical significance (p-values) to measures of effect size and confidence intervals
- Communicating results with confidence intervals