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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...

By Jennifer Bachner, PhD on Coursera

About This Course

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.

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Frequently Asked Questions

How much does Measurement – Turning Concepts into Data cost?

Visit the Measurement – Turning Concepts into Data course page for current pricing and available discounts.

Who teaches Measurement – Turning Concepts into Data?

Measurement – Turning Concepts into Data is taught by Jennifer Bachner, PhD, Johns Hopkins University.

What skill level is Measurement – Turning Concepts into Data for?

This course is designed for all levels learners.

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Students0
Duration4 hours
LevelAll Levels
Languageen
PlatformCoursera