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
Tutorial on survey segmentation with Python
Reproducibility archive for preprint "Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors"
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 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.
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.
Code developed for the Multivariate Statistics Spring 2019 course practice sessions.
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