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Measurement – Turning Concepts into Data   

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.

Difficulty Level: BEGINNER

Estimated Learning Time:  11 hours

SKILLS YOU WILL GAIN:

Probability & Statistics

General Statistics

Research and Design

INSTRUCTOR

Course Instructor PhotoJennifer Bachner, PhD
Director
Data Analytics and Policy Program

 

  • Measurement – Turning Concepts into Data
  • Fee: $59.00
 

If you are thinking of taking more than one course, the subscription option may be more beneficial.
After payment, you will receive a separate email, usually within one business day, that will include instructions on how to access the course.


- Single course access (generally 30 days with option to extend if needed)
- 3-month subscription to online learning catalog - $199.00
- 12-month subscription to online learning catalog - $499.00

3-Month Subscription 1-Year Subscription