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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.
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Rating | Not enough ratings |
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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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