Back to Measurement – Turning Concepts into Data
Johns Hopkins University

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.

Status: Quantitative Research
Status: Data Transformation
BeginnerCourse11 hours

Featured reviews

IU

Reviewed May 25, 2021

Participation in this course has deepened my understanding of measuring concepts in ways I never thought possible

JG

Reviewed Mar 13, 2021

Note that the reading for week 4, Validity, requires a puchase to access

ML

Reviewed Jun 21, 2021

This course taught me how to do research methods in my research projects.

KB

Reviewed Aug 18, 2024

Clear, concise information with interesting examples.

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