psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

Causing: CAUsal INterpretation using Graphs

Partial Least Squares Path Modeling, Structural Equation Modeling

Code accompanying my 2021 ASA SDSS paper

A Python package for psychology-oriented EFA, ESEM, and SEM workflows with modular, reproducible, and testable analysis pipelines.

Ordinal regression and mediation analysis examining the gap between AI adoption and advocacy among K-12 educators. Part 3 of a three-paper series using JASP and Python. N=189 teachers in Jordan.

A Python tool to calculate the Midpoint Score Index (MSI) from Likert-scale questionnaire data. It reads responses from Excel, optionally applies reverse coding, computes key metrics (frequencies, cumulative proportions, z-scores), and outputs a summary report automatically.

SEM & correlation analysis of project selection criteria vs organisational performance in construction · Elsevier 2024. This Methodology is also applicable to IoT data pipelines real-world data collection, ML-based prediction, and evidence-based decision support for physical infrastructure systems.

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

ML-driven batch scheduling optimization for pharmaceutical manufacturing. 92.5% prediction accuracy. Statistical analysis with JASP, simulation with Python.

This project is a Python implementation of PLS-SEM (Partial Least Squares Structural Equation Modeling) built using Streamlit.

Reusable Python toolkit for organisational survey analysis — reliability, SEM, ML, visualization · Built from peer-reviewed research