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Exploratory Graph Analysis with R - Online Course

A 4-Day Livestream Seminar Taught by

Hudson Golino
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm ET (convert to your local time)
1:30pm-3:00pm ET

A Network Psychometrics Approach to Structural Validity, Item Analysis, and Dimension Analysis

Researchers and applied professionals from many different fields, including psychology, sociology, education, political science, and the health sciences, have undoubtedly faced at least one of the following questions:

  • How many factors (latent dimensions) are being assessed by my instrument (test, questionnaire, survey, etc.)?
  • How stable is the dimensionality solution?
  • How good are my items? Do they replicate into the same latent dimensions or not?
  • How can I compare multiple dimensionality configurations (or solutions)?
  • Is my instrument structurally valid?
  • Are my items reliable, or do they merely seem reliable because we are using the common “cheating by repeating” approach?
  • How can I answer all these questions if I have (intensive) longitudinal data instead of cross-sectional data?

Too many important questions.

Or maybe you’re just interested in text mining and want to analyze data from social media in order to estimate latent variables.

Maybe you have heard a lot about network psychometrics and want to learn more about it.

Or, being more creative, you just want to know what Russia trolls have to do with dimensionality assessment and reduction and item analysis.

Again, exciting and important questions.

If these are questions you’ve asked yourself, and you’ve been scratching your head staring at the dataset on the screen in front of you, this course is precisely what you’ve been looking for.

Starting August 16, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions.


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