This case study reviews chi‑square tests on staff awareness, knowledge, and training needs in public vs. private hospitals—key insights for Nursing Management PhD research.
Discover a multi‑stage approach for transforming 5‑point Likert responses into reliable categorical outcomes—complete with validation checks and R implementation tips.
Discover a case study showing how R and Excel VBA were combined to automate data ingestion, dashboard creation, inferential testing, and reproducible reporting in a quasi-experimental PhD project.
This case study explores three “What If” sensitivity analyses on Likert-scale data in a Public Health dissertation—covering threshold effects, continuous modeling, and implications for research validity.
This case study shows how a centralized, automated, and audit-ready analytics framework supported hybrid instruction research—covering dashboards, diagnostics, and stakeholder reports.
This case study analyzes how student demographics shape motivations for adopting online open courses. Key findings reveal age, gender, and program-specific insights for better course targeting.
Explore a case study on transforming and analyzing Likert scale data in a Public Health PhD dissertation—from response collapsing to hypothesis testing with categorical outcomes.
Learn how a PhD scholar automated survey data processing—from ingestion to reporting—using Excel VBA, R scripts, and GitHub CI for a large-scale hybrid instruction study.
This case study showcases how “What If” scenario analysis using R can improve the impact and scalability of quasi-experimental educational interventions in PhD research.
Explore key lessons from a public health dissertation using Likert-scale analysis—covering scale transformation, composite reliability, stakeholder reporting, and audit-ready workflows.
