Measurement – Turning Concepts into Data
Learn how to create and evaluate quantitative measures for complex concepts through survey design, measurement models, and statistical analysis.
Learn how to create and evaluate quantitative measures for complex concepts through survey design, measurement models, and statistical analysis.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Literacy Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Create and evaluate quantitative measures for complex concepts
Design effective surveys and sampling strategies
Build and assess measurement models
Understand reliability and validity in measurement
Transform variables and analyze different measurement levels
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
16 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores the process of turning abstract concepts into measurable data points. Students learn about different levels of measurement, variable transformation, and measurement model construction. The curriculum covers essential topics in survey research including sampling, design, and evaluation. Special emphasis is placed on assessing measurement quality through reliability and validity testing, preparing learners to develop and critically assess measures for research and analysis.
Fundamentals of Measurement
Module 1 · 2 Hours to complete
Building a Measurement Model
Module 2 · 3 Hours to complete
Survey Research
Module 3 · 2 Hours to complete
Evaluating Measurement Models
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Leading Expert in Data Analytics and Policy at Johns Hopkins University
Dr. Jennifer Bachner is the Director of the Master of Science in Data Analytics and Policy program and the Certificate in Government Analytics program at Johns Hopkins University. With a robust academic background, she earned her Ph.D. in Government from Harvard University and holds undergraduate degrees in political science and social studies education from the University of Maryland, College Park. Dr. Bachner is a prolific author, having co-written significant works such as America’s State Governments: A Critical Look at Disconnected Democracies and What Washington Gets Wrong, alongside Benjamin Ginsberg. Her research focuses on the intersection of analytics, political behavior, and online education, contributing to reports like Predictive Policing: Preventing Crime with Data and Analytics, published by the IBM Center for the Business of Government. As an expert in her field, she has been featured in major media outlets including the Washington Post and NPR. Dr. Bachner's commitment to advancing data-driven policy solutions and her leadership in educational programs underscore her vital role at Johns Hopkins University, where she continues to shape the future of governance and analytics education.
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