Course Summary
Learn how to turn concepts into data by mastering measurement techniques. This course will teach you the foundations of measurement theory and how to apply it to real-world situations.Key Learning Points
- Understand the importance of measurement in data analysis
- Learn about different types of measurement and their properties
- Apply measurement theory to real-world situations
- Explore measurement error and its impact on data analysis
Related Topics for further study
Learning Outcomes
- Understand the importance of measurement in data analysis
- Apply measurement theory to real-world situations
- Identify and account for measurement error in data analysis
Prerequisites or good to have knowledge before taking this course
- Basic understanding of statistics
- Familiarity with Excel or similar spreadsheet software
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Interactive quizzes and exercises
Similar Courses
- Data Analytics Fundamentals
- Introduction to Statistics
Related Education Paths
Related Books
Description
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.
Outline
- Fundamentals of Measurement
- Welcome to the Course!
- Levels of Measurement
- Transforming Variables
- Unit of Analysis
- Levels of Measurement
- Frequency, Frequency Tables, and Levels of Measurement
- When and Why to Standardize Your Data
- Unit of Analysis
- Unit of Analysis and Unit of Observation
- Levels of Measurement Practice Problems
- Transforming Variables Practice Problems
- Unit of Analysis Practice Problems
- Final Quiz on the Fundamentals of Measurement
- Building a Measurement Model
- Conceptual Definitions
- Operational Definitions
- Measurement Models
- Defining and Measuring Concepts
- Models of Measurement and Their Implications
- Report by the Commission on the Measurement of Economic Performance and Social Progress
- Varieties of Democracy Methodology
- Analyzing Roll Calls with Perfect Spatial Voting
- Conceptual Definition Practice Problems
- Operational Definition Practice Problems
- Measurement Model Practice Problems
- Final Quiz on Measurement Models
- Survey Research
- Survey Sampling
- Question Wording
- Response Categories
- Question Order
- Survey Evaluation
- Simple Random Sample
- Questionnaire Design
- Questionnaire Pretest Procedures
- Cognitive Interviewing
- Survey Sampling Practice Problems
- Survey Design Practice Problems
- Survey Evaluation Practice Problems
- Final Quiz on Survey Research
- Evaluating Measurement Models
- Measurement Error
- Reliability
- Validity
- Measurement Error
- Reliability and Validity of Measurement
- Understanding Test Quality - Concepts of Reliability and Validity
- Validity of Measures is No Simple Matter
- Measurement Error Practice Problems
- Reliability Practice Problems
- Validity Practice Problems
- Final Quiz on Evaluating Measurement Models
Summary of User Reviews
Learn how to turn concepts into data with this comprehensive course on measurement and data. Highly rated by users, this course is praised for its clear and concise explanations. Users particularly enjoyed the interactive quizzes and assignments, which helped to reinforce key concepts.Key Aspect Users Liked About This Course
Clear and concise explanationsPros from User Reviews
- Interactive quizzes and assignments
- Comprehensive coverage of measurement and data concepts
- Engaging and knowledgeable instructors
Cons from User Reviews
- Some users found the course material to be too basic
- Limited opportunities for interaction with other students
- Some technical difficulties reported with the online platform
Jennifer Bachner, PhD
4.8 Raiting
Computer Vision In Python! Face Detection & Image Processing
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Learn Computer Vision With OpenCV In Python! Master Python By Implementing Face Recognition & Image Processing In Python Distinctions g. , as explored in augmented reality....
The Forex Complete Trading Course Applicable Worldwide
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Complete Forex Course With All Details & extensively created for NEwbies & Expert traders in mind with 20+ years Exper Dear Students, ...
Statistics for Data Science with Python
- 4.6
-
![]()
![]()
![]()
![]()
![]()
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis....
Securing Investment Returns in the Long Run
- 4.8
-
![]()
![]()
![]()
![]()
![]()
You will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. General Introduction and Key Concepts...
