Enhancing Statistical Education in Chemistry and STEAM Using JAMOVI. Part 2. Comparing Dependent Groups and Principal Component Analysis (PCA)

Abstract

In statistics and chemometrics education for chemistry and STEAM (Science, Technology, Engineering, Arts, and Mathematics) students, gone are the days of laborious calculations and conclusions based solely on p values. Free and graphical user interface (GUI) software like JAMOVI streamlines calculations, generates informative plots, and fosters a deeper understanding beyond just p values. This article serves as a comprehensive guide for instructors on utilizing JAMOVI to teach essential parametric and nonparametric tests commonly encountered in these fields. Our focus centers on a paired samples t test, Wilcoxon rank sum test, repeated measures ANOVA (RMANOVA), and Friedman test. We also delve into principal component analysis (PCA) using the MEDA plugin, which generates highquality colored plots that visually elucidate trends between groups. Through 21 guided questions, students will assess data normality, compare dependent groups using both parametric and nonparametric tests, explore comparisons between dependent groups, and observe trends using PCA. These STEAM-contextualized questions and practical examples empower educators to seamlessly integrate JAMOVI into their teaching, enhancing the learning experience for students.