Measurement – Turning Concepts into Data
This course provides a framework for how analysts can create and evaluate quantitative measures. Consider the many tricky concepts that are often of interest to analysts, such as health, educational attainment and trust in government. This course will explore various approaches for quantifying these concepts. The course begins with an overview of the different levels of measurement and ways to transform variables. We’ll then discuss how to construct and build a measurement model. We’ll next examine surveys, as they are one of the most frequently used measurement tools. As part of this discussion, we’ll cover survey sampling, design and evaluation. Lastly, we’ll consider different ways to judge the quality of a measure, such as by its level of reliability or validity. By the end of this course, you should be able to develop and critically assess measures for concepts worth study. After all, a good analysis is built on good measures.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
Why Smart People Fail: 10 Hard-Won Lessons from Charlie Munger
Medium · AI
GoTyme heats up South Africa’s fintech talent war with employee ownership plan
TechCabal
What “Spend All Your Money” Teaches About Getting Richer by Spending More
Medium · AI
Staff Augmentation vs Freelancers vs In-House: What Actually Works in 2026
Dev.to · Ihor Ostin
🎓
Tutor Explanation
DeepCamp AI