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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

Data Analysis

Research and Design

Machine Learning

INSTRUCTOR

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

 
  • Measurement – Turning Concepts into Data
  • Fee: $59.00
    Item Number: 2021CSR80101
    Dates: 7/1/2021 - 6/30/2023
    Times: 12:00 AM - 12:00 AM
    Days:
    Sessions: 0
    Building:
    Room:
    Instructor: Professional Development
    REGISTRATION FOR THIS CLASS IS CLOSED. This class is already in session.
 

  • Measurement – Turning Concepts into Data
  • Fee: $59.00
    Item Number: 2022CSR80101
    Dates: 7/1/2022 - 6/30/2023
    Times: 12:00 AM - 12:00 AM
    Days:
    Sessions: 0
    Building:
    Room:
    Instructor:
    REGISTRATION FOR THIS CLASS IS CLOSED. This class is already in session.