In this tutorial, we focus on the interpretation of Confirmatory Factor Analysis (CFA) results in R Studio using the lavaan package. Learn how to analyze model fit, standardized loadings, and more. Ideal for students, researchers, and data analysts working with psychological, educational, and biostatistical data.
📌 What You’ll Learn:
How to interpret CFA output in R
Understanding model fit indices (CFI, RMSEA, SRMR)
Evaluating factor loadings and residuals
Visualization of the CFA path diagram
📥 Download full R code and data file here:
Confirmatory Factor Analysis (CFA) in R: A Comprehensive Guide with Graphs
https://statisticsbio7.blogspot.com/2025/05/confirmatory-factor-analysis-cfa-in-r.html
🎓 Suitable For: Biostatistics, Psychology, SEM, Educational Research
🛠️ Tools Used: RStudio, lavaan, semPlot
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Confirmatory Factor Analysis (CFA) in R | Step-by-Step Guide with Full R Code
https://youtu.be/FT1HA8aoGjU
Disclaimer
This video is made for the sole purpose of higher education. Care is taken to provide the most accurate information. However, we can’t guarantee the accuracy of all the information in this video. Kindly do your own research before coming to any conclusions or making any decisions.
📌 Tags:
#biostatistics #statistics #dataanalysis #statisticalanalysis
#datavisualization #datascience #dataanalytics #datamining #statisticsbio7 #factoranalysis #confirmatory #interpretation #r #rstudio #rtutorial
📚 Resources:
Download the sample data used in this tutorial: [https://t.me/statistics_bio7]
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