An User-Friendly Application for Exploratory Factor Analysis
Fit exploratory factor models and bi-factor models with multiple general factors.
R package for automated exploratory factor analysis: greedy AIC/BIC search over factor structures and IRT models for complex multilevel data.
PsychoMatic is an R package for automated psychometric analysis. It streamlines descriptives, EFA, CFA, reliability, measurement invariance, and alignment, with flexible settings and bilingual reporting in English or Spanish.
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"
R package for identify complex structure in factor analysis output
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.
R script for exploratory factor analysis of morphometric factors with the psych package: correlation matrix, principal-axis, WLS and alpha factoring with oblimin rotation, Horn parallel analysis, ICLUST item clustering and omega bifactor solutions. Mariana Trench; Lemenkova (2018), Turkish J. Maritime and Marine Sciences 4(2):146-155.
A paper-aligned, privacy-preserving R workflow for the Construction Workers’ Safety Attitude Scale (CWSAS), demonstrated using deterministically generated synthetic data.
A reproducible framework for calculating the Austrian Socioeconomic Deprivation Index (ASDI) at the municipality level using public STATatlas data, including a clinical proof-of-concept.
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.
To associate your repository with the exploratory-factor-analysis topic, visit your repo's landing page and select "manage topics."