Latent Variable Modeling with R
Holmes Finch and Brian French teach structural equation modeling with lavaan in this beginner-friendly course
In this on-demand workshop, Holmes Finch and Brian French teach you how to test a variety of latent variable models in R. With clear hands-on lessons, they’ll take you through each step of analyzing structural equation models, from writing syntax to interpreting output, all the way to reporting results. Use the dropdown menu below to see what’s included in this online course:
Welcome!
FREE PREVIEWHandouts and Datasets
Getting Started with R
Observed Variable Models in R
Latent Variable Models in R
Exploratory Factor Analysis: Determining the Number of Factors
Exploratory Factor Analysis: Other Factor Techniques & Factor Scores
Introduction to Confirmatory Factor Analysis
Confirmatory Factor Analysis in lavaan
Assessing Model Fit
Structural Equation Models
Mediation Models
MIMIC Model
Modeling Change
Linear Growth Curve Models
Nonlinear Growth Curve Models
Modeling Change in Multiple Variables
Reporting on Latent Variable Models
Tips to Avoid Common Analysis Mistakes
Latent Variable Modeling with R is team-taught by S.E.M. experts Dr. Holmes Finch and Dr. Brian French. Through their books and workshops, they have helped thousands of researchers and students across multiple disciplines to sharpen their statistical skillsets.
W. Holmes Finch, Ph.D.
Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University and a Professor of Statistics and Psychometrics. His research interests include structural equation modeling, item response theory, educational and psychological measurement, multilevel modeling, machine learning, and robust multivariate inference.
Brian French, Ph.D.
Brian French is the Berry Family Distinguished Professor of Educational Psychology and Director of the Learning and Performance Research Center at Washington State University. His research focuses on the development of methods to improve methods for determining test score validity evidence.
Tax-exempt institutions in the United States, please start here.
Latent Variable Modeling with R is available for immediate access. Please contact us if you need an invoice prior to purchase or have a larger group.
Payment is accepted by credit card, Paypal, or bank transfer (euros & GPB). Bank transfer instructions are here.
Group licenses provide the lowest per-person cost.
Further discounts are available for researchers working in LMICs; apply here to get started.
Individual: Student/Post Doc
Individual: Professional
Lab | Up to 6 Users
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GBP (UK only) |
Student/Postdoc: €317 Professional: €435 Group: €1177 Account holder: QuantFish LLC BIC/SWIFT: TRWIBEB1XXX IBAN: BE20 9672 6025 0356 Address: Avenue Louise 54, Room S52 Brussels 1050 Belgium The following information is required to ensure proper enrollment:
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Student/Postdoc: £267 Professional: £366 Group: £989 Account holder: QuantFish LLC Sort code: 23-14-70 Account number: 87960744 IBAN: Address:
56 Shoreditch High Street, London E1 6JJ, United Kingdom The following information is required to ensure proper enrollment:
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This course is for learners with a foundational knowledge of regression analysis. Prior experience with R is not required.
We understand completely! The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.
Unfortunately, personal feedback is not possible given the volume of researchers we serve. We are certain that Dr. Finch and Dr. French's thorough approach to guiding you through every step of using R, along with the helpful handouts and guides included in the course, will enable you to successfully perform S.E.M. techniques with your own data. Note that we here at QuantFish are always happy to help you navigate any technical issues related to the course itself.
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QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. Latent Variable Modeling with R is backed by a complete money-back guarantee for 7 days following the start of the course.