This tutorial presents a set of R functions for advanced Cronbach's alpha analysis, including methods for calculating confidence intervals, robust estimation when tau-equivalence is violated, and statistical comparison of alpha coefficients across different populations.

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The hotel industry thrives on understanding customer behavior, optimizing reservations, and forecasting demand. In this portfolio, I present a comprehensive analysis of hotel reservation data using R programming to derive valuable insights and build predictive models

This insight is about ecommerce transaction which generated using Synthetic Data Generation based different platform (Facebook, Instagram, TikTok, X, Outlet & Online Ads) ranging for 24 months

This RMarkdown document provides a clear, step-by-step explanation of the concepts, uses the provided example data, includes example code chunks, and clearly outlines the homework exercise. Remember to render the RMarkdown document to see the results, and feel free to ask if you need any further modifications.