measurement-invariance

Measurement invariance explorer - R package to explore measurement invariance

R functions to generate lavaan code for testing longitudinal measurement invariance

R package for Bayesian measurement invariance assessment using mixed effects and shrinkage.

Project Multiple Indicator growth mixture models

Product of Indicators (PI) for MIMIC Models in DIF detection

The IRB-approval research proposal for my dissertation: the methodology, instrument design, and analysis plan submitted to the university board to gain authorization to recruit participants and conduct the study. A required step before the field research and the dissertation itself can proceed.

Cognitive ability across NLSY cohorts — latent g extraction, outcome validation, interactive results site

R script analyzing the Swahili RCADS-25 among Kenyan adolescents, assessing internal consistency, construct validity, convergent and divergent validity, and measurement invariance to evaluate the psychometric propertiesscale.

All code associated with conducting the analysis for my project evaluating measurement invariance in US caregivers.

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)

Client-side web app to generate Mplus ESEM / bifactor-ESEM / invariance syntax and turn .out files into APA tables, diagrams, and ESEM-within-CFA. Follows Swami, Maiano & Morin (2023).

R and lavaan structural equation modeling case study with CFA, measurement invariance, FIML, latent mediation, diagnostics, and reproducible testing.

Double-Mixture Multigroup SEM in R

Psychometric audits for evaluation data — reliability, agreement, bias, and measurement invariance in one call. A drop-in audit for LLM-judge and human-rating pipelines.

R package to calculate the degrees-of-freedom in multi-group confirmatory factor analysis models testing measurement invariance

Guided R workflow for scale development and construct validation: item screening, factor retention, CFA, reliability, bifactor and higher-order models, measurement invariance, scoring, and theory-specified nomological networks. Every method is placed in its literature and cited.

The consequences of spending money on experiences (e.g., travel) vs. materials (e.g., clothes)