An User-Friendly Application for Exploratory Factor Analysis
Fit exploratory factor models and bi-factor models with multiple general factors.
# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
Reproducibility archive for preprint "Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors"
Tutorial on survey segmentation with Python
The following data is Supplementary Material of the manuscript: "Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ microclimate performance and clustering in tropical high-density Singapore".
This is a course that I did in Summer 2021 at Purdue University. It covers exploratory factor analysis for surveys and item analysis for surveys with R programming.
This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.
Code developed for the Multivariate Statistics Spring 2019 course practice sessions.
Add a description, image, and links to the exploratory-factor-analysis topic page so that developers can more easily learn about it.
To associate your repository with the exploratory-factor-analysis topic, visit your repo's landing page and select "manage topics."