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.
This course is part of the Data Literacy Specialization
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About this Course
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- Survey Design
- Statistical Analysis
- Validity
- Measurement
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Syllabus - What you will learn from this course
Fundamentals of Measurement
Building a Measurement Model
Survey Research
Evaluating Measurement Models
Reviews
- 5 stars81.25%
- 4 stars15.62%
- 3 stars1.56%
- 2 stars1.56%
TOP REVIEWS FROM MEASUREMENT – TURNING CONCEPTS INTO DATA
This course taught me how to do research methods in my research projects.
I typically only audit courses now since I like to learn in my way and do homework when I want. This was a valuable primer for me on the fundamentals of measuring data.
Note that the reading for week 4, Validity, requires a puchase to access
Very well presented. Readings came from a variety of sources, exposing the learner to sites where we can continue to learn more about this topic.
About the Data Literacy Specialization

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