Analyzing Survey Data with R
Analyzing survey data properly involves several important steps, such as descriptive analysis, building measurement models, and validating survey results. This course will teach you how to analyze and visualize survey data using R.
What you'll learn
Analyzing survey data often turns out to be more complicated than we anticipate. What are the best ways to summarize and visualize survey data? How do we determine what constructs our survey is measuring? How can we validate results of our survey? In this course, Analyzing Survey Data with R, you’ll learn to how to conduct data analysis with surveys using R. First, you’ll explore how to summarize survey data using descriptive statistics and data visualizations. Next, you’ll discover how to identify how many constructs are underlying the survey data using factor analysis. Finally, you’ll learn how to validate the results from survey data analysis. When you’re finished with this course, you’ll have the skills and knowledge of analyzing survey data needed to understand and interpret survey results more effectively.
Table of contents
- Introduction 2m
- Preparing and Validating Data 4m
- Demo: Data Preparation 8m
- Demo: Data Validation 9m
- Obtaining Descriptive Statistics 3m
- Demo: Descriptive Statistics 9m
- Conducting Item Analysis 6m
- Demo: Item Analysis - Part I 9m
- Demo: Item Analysis - Part II 3m
- Visualizing Survey Data 4m
- Demo: Data Visualization 7m
- Summary 1m
About the author
Okan Bulut is an Associate Professor of Educational Measurement, Psychometrics, and Data Science and an active member of the Centre for Research in Applied Measurement and Evaluation at the University of Alberta. He teaches undergraduate-level and graduate-level courses on psychometrics, statistics, data mining, and programming. Okan's current research interests include statistical programming, interactive data visualization, computer based testing, and technology-enhanced assessments. Okan is a... more