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Analyzing Survey Data with R

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Okan Bulut

3:20:59

12 View
  • 01 - Course Overview.mp4
    01:41
  • 02 - Introduction.mp4
    01:57
  • 03 - Course Overview.mp4
    02:56
  • 04 - Key Terms in Survey Data Analysis.mp4
    04:38
  • 05 - A Road Map for Survey Data Analysis.mp4
    03:50
  • 06 - Survey Data Analysis with R.mp4
    02:44
  • 07 - Demo - Introduction to R and RStudio.mp4
    07:19
  • 08 - Demo - Importing and Reviewing Data.mp4
    06:16
  • 09 - Summary.mp4
    01:41
  • 10 - Introduction.mp4
    02:16
  • 11 - Preparing and Validating Data.mp4
    04:25
  • 12 - Demo - Data Preparation.mp4
    08:03
  • 13 - Demo - Data Validation.mp4
    09:02
  • 14 - Obtaining Descriptive Statistics.mp4
    03:29
  • 15 - Demo - Descriptive Statistics.mp4
    08:39
  • 16 - Conducting Item Analysis.mp4
    06:29
  • 17 - Demo - Item Analysis - Part I.mp4
    08:58
  • 18 - Demo - Item Analysis - Part II.mp4
    03:07
  • 19 - Visualizing Survey Data.mp4
    04:08
  • 20 - Demo - Data Visualization.mp4
    07:10
  • 21 - Summary.mp4
    01:15
  • 22 - Introduction.mp4
    02:53
  • 23 - What Is Exploratory Factor Analysis.mp4
    07:12
  • 24 - Steps for Conducting Exploratory Factor Analysis.mp4
    05:21
  • 25 - Demo - Part I.mp4
    09:00
  • 26 - Demo - Part II.mp4
    06:44
  • 27 - Summary.mp4
    01:58
  • 28 - Introduction.mp4
    04:44
  • 29 - What Is Confirmatory Factor Analysis.mp4
    05:27
  • 30 - Steps for Conducting Confirmatory Factor Analysis.mp4
    04:56
  • 31 - Demo - Part I.mp4
    07:38
  • 32 - Demo - Part II.mp4
    06:31
  • 33 - Summary.mp4
    01:52
  • 34 - Introduction.mp4
    02:44
  • 35 - Types of Validity.mp4
    04:36
  • 36 - Measurement Invariance.mp4
    04:27
  • 37 - Demo - Criterion-related Validity.mp4
    07:14
  • 38 - Demo - Measurement Invariance.mp4
    06:52
  • 39 - Summary.mp4
    02:02
  • 40 - Introduction.mp4
    01:11
  • 41 - Course Summary.mp4
    05:14
  • 42 - Next Steps.mp4
    02:20
  • Description


    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.

    More details


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    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 passionate R user that constantly benefits from R in both his research projects and the courses he has taught. In addition, Okan has authored three packages, profileR, hemp, and eirm, in R. In his spare time, Okan enjoys visiting mountains, hiking trails, and nature photography.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 42
    • duration 3:20:59
    • level average
    • Release Date 2023/12/05