Welcome to my data analysis projects repository! Here, you'll find a collection of my data analysis projects showcasing my skills in extracting insights from data using various tools and techniques.

Poster for 2021 Society for Research in Psychopathology conference - "How is personality pathology related to negative perceptions of others?"

R and C++ code useful for time series analysis on dichotomous data

The data analysis code for the replication study CREP-21-39.

PLS-SEM Model of Self-Pay Influencing Diabetic Treatment and Outcomes (Paper + R)

This repository is created to showcase the skills, share the projects and statistical analysis that has been done and also to track progress during the study..

PLS-SEM Interactive Tutorial with cSEM R package

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

Solution in the form of a tutorial article wherein the key decisions made in conducting a CFA are validated through recent literature and presented within a dynamic document framework.

Model BIC posterior probability

The following codes were used to conduct Confirmatory Factor Analysis and Structural Equation Modeling in R, and Multiple Group Analysis in R for my thesis entitled "Analysing DASS through Structural Equation Modeling". Note: THE DATA USED IS NOT MY OWN AND WAS OBTAINED FROM Open-Source Psychometrics Project (https://fhssrsc.byu.edu/r-works)

Fix the problem of structural equation model in statistical learning perspectives

Example of Structured Equation Model in R

jeksterslabRsem is a collection of functions that I find useful in studying structural equation modeling.

Procrastination study using HRS data

Cox box normalization, structural equation modelling, data visualization: violin plots, heatmap, top 20 graphs, summary using dataprep

An Example of Structural Equation Modeling (SEM)

Code developed for the Multivariate Statistics Spring 2019 course practice sessions.

An R Package for Two-Stage Path Analysis (2S-PA)

Functions for learning structural equation modeling