Chevron Left
Measurement – Turning Concepts into Data(으)로 돌아가기

존스홉킨스대학교의 Measurement – Turning Concepts into Data 학습자 리뷰 및 피드백

26개의 평가
7개의 리뷰

강좌 소개

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....
필터링 기준:

Measurement – Turning Concepts into Data의 7개 리뷰 중 1~7

교육 기관: Jason P C

2020년 12월 30일

This course provides a simple, easy-to-follow instruction that will keep you going without realizing that you've exceeded your limit in understanding math and statistics. On to the next course within this specialization.

교육 기관: Sir A

2020년 12월 28일

Thank you for the learnings! God bless.

교육 기관: Kamryn N W

2021년 3월 15일

Great Course!

교육 기관: Deleted A

2021년 3월 15일

it was great

교육 기관: She-an P

2021년 1월 21일

Thank you!

교육 기관: Joy G G

2021년 3월 14일

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

교육 기관: mohammad

2021년 3월 4일

very boring and mono-tone.