Introduction

Class 3 in r

This research uses Structural Equation Modeling (SEM) to analyze factors affecting e-book reader adoption intention based on the Extended Technology Acceptance Model (TAM). Using data from 174 respondents, the results show that Emotional Value significantly influences adoption intention.

Analisis data media sosial menggunakan metode Partial Least Squares Structural Equation Modeling (PLS-SEM) untuk melihat pengaruh penggunaan media sosial terhadap tekanan interaksi sosial digital dan dampak psikologis pada Generasi Z.

This report presents an R-based workflow for processing GSAS XYE diffraction data and applying multivariate analysis to detect phase transitions. The pipeline includes data import, normalization using incident intensity and channel width corrections, and automated batch processing of multiple datasets. Principal Component Analysis (PCA) is used to capture structural variation across diffraction patterns, and change-point detection is applied to identify phase transitions. This approach enables scalable and data-driven analysis of large diffraction datasets.