Coupon & course info
Course Name: Structural equation modeling (SEM) with lavaan
Subtitle: Learn how to specify, estimate and interpret SEM models with no-cost professional R software used by experts worldwide.
Instructor: Taught by Geoffrey Hubona, Ph.D., Professor of Information Systems
Subcategory: Math & Science
Provided by: Udemy
Price: $40 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of September 8, 2016…
Students: 853 students enrolled
Ratings: 42 reviews
Rank: ranked #114d in Udemy Academics Courses
Brief course description
This “hands-on” course teaches one how to use the R software lavaan package to specify, estimate the parameters of, and interpret covariance-based structural equation (SEM) models that use latent variables. “lavaan” (note the purposeful use of lowercase “L” in ‘lavaan’) is an acronym for latent variable analysis, and the name suggests the long-term goal of the developer, Yves Rosseel: “to provide a collection of tools that can be used to explore, estimate, and understand a wide family of latent variable models, including factor analysis, structural equation, longitudinal, multilevel, latent class, item response, and missing data models.” The course uses and executes many “live” examples (with included R scripts and datasets) using no-cost R and RStudio software to demonstrate and teach how to: (1) specify a SEM model in lavaan syntax; (2) fit and then evaluate your model; (3) perform a CFA; (4) impute and replace missing data; (5) estimate mediating and other indirect effects; (6) estimate and evaluate multigroup models, simultaneously establishing measurement invariance; and (7) specifying and estimating latent (growth) curve models, including the use of random (and latent) intercepts and slopes. The R lavaan package is world-class ‘professional-grade’ SEM software, used by thousands of SEM experts, graduate students, and college and university faculty around the world.
(Read more about this course on the official course page.)
Geoffrey Hubona, Ph.D. bio
Dr. Geoffrey Hubona held full-time tenure-track, and tenured, assistant and associate professor faculty positions at 3 major state universities in the Eastern United States from 1993-2010. In these positions, he taught dozens of various statistics, business information systems, and computer science courses to undergraduate, master’s and Ph.D. students. He earned a Ph.D. in Business Administration (Information Systems and Computer Science) from the University of South Florida (USF) in Tampa, FL (1993); an MA in Economics (1990), also from USF; an MBA in Finance (1979) from George Mason University in Fairfax, VA; and a BA in Psychology (1972) from the University of Virginia in Charlottesville, VA. He was a full-time assistant professor at the University of Maryland Baltimore County (1993-1996) in Catonsville, MD; a tenured associate professor in the department of Information Systems in the Business College at Virginia Commonwealth University (1996-2001) in Richmond, VA; and an associate professor in the CIS department of the Robinson College of Business at Georgia State University (2001-2010). He is the founder of the Georgia R School (2010-2014) and of R-Courseware (2014-Present), online educational organizations that teach research methods and quantitative analysis techniques. These research methods techniques include linear and non-linear modeling, multivariate methods, data mining, programming and simulation, and structural equation modeling and partial least squares (PLS) path modeling. Dr. Hubona is an expert of the analytical, open-source R software suite and of various PLS path modeling software packages, including SmartPLS. He has published dozens of research articles that explain and use these techniques for the analysis of data, and, with software co-development partner Dean Lim, has created a popular cloud-based PLS software application, PLS-GUI.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 73 lessons
Duration: 11.5 hours of video
What you get: Specify and estimate parameters in a structural equation model using the R lavaan package and interpret and report on the SEM model results.
Target audience: Course participants may be “brand-new” (inexperienced) to using both R software and/or SEM model estimation, or they may be more experienced in one or both techniques.
Requirements: Students will be required to install no-cost R and RStudio software (instructions are provided).
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons