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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.
The goal of my thesis is to use a data set of community variables (family, school, friends, race, economic status) established by UNICEF's framework to identify which factors predict youth mental health during various stages of the COVID-19 Pandemic.
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.
📊 Contains code used to analyze data about HCL-32 instrument (Hypomania Checklist). Functions related to confirmatory factor analysis and internal consistency.
Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) using semopy, with a Wald z-test to examine differences in the magnitude of effects among latent variables on Mathematics academic achievement, conducted in Python.
A confirmatory factor analysis of the Interpersonal Sexual Objectification Scale (ISOS; Kozee et al., 2007) and the Self-Objectification Beliefs and Behaviors Scale (SOBBS; Lindner & Tantleff-Dunn, 2017) using a sample of transgender and nonbinary people.
Psychometric validation of the Emotional Flow Scale using CFA and invariance testing. Measures dynamic emotional experience during content consumption (N=2,626).
This project attempts to examine the connection between parental background, parental beliefs, and academic outcomes while including something not yet broadly considered in the literature: their beliefs about the importance of equity.
This is a release of data and analysis scripts of the "Private or on-demand autonomous vehicles? Modeling public interest using a multivariate model " research study.
Validation of Dutch translations of the Interoceptive Accuracy Scale (IAS) and Interoceptive Attention Scale (IATS) using PCA, CFA, and regression analyses.
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)
A paper-aligned, privacy-preserving R workflow for the Construction Workers’ Safety Attitude Scale (CWSAS), demonstrated using deterministically generated synthetic data.