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Measurement – Turning Concepts into Data

Data Literacy,

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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Length 5 weeks
Effort 4 weeks of study, 2-4 hours per week
Starts Jul 3 (46 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor Jennifer Bachner, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science Business
Tags Social Sciences Data Science Data Analysis Economics

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Rating Not enough ratings
Length 5 weeks
Effort 4 weeks of study, 2-4 hours per week
Starts Jul 3 (46 weeks ago)
Cost $49
From Johns Hopkins University via Coursera
Instructor Jennifer Bachner, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science Business
Tags Social Sciences Data Science Data Analysis Economics

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