Factor Analysis and Principal Component Analysis Using SPSS | A User-Friendly Guide

In this video, I demonstrate how to run Factor Analysis and Principal Component Analysis Using SPSS. I will provide a user-friendly discussion of eigenvalue, Kaiser-Meyer-Olkin (KMO) test and Bartlett's Test of Sphericity, communalities, factor loadings, rotations (orthogonal vs oblique), and the determinant of the correlation matrix. For more information, please see: https://www.routledge.com/Quantitative-Data-Analysis-for-Language-Assessment-Volume-I-Fundamental/Aryadoust-Raquel/p/book/9780367671396 https://us.sagepub.com/en-us/nam/statistics-for-people-who-think-they-hate-statistics/book259351 Examining the factor structure and its replicability across multiple listening test forms: Validity evidence for the Michigan English Test: https://journals.sagepub.com/doi/full/10.1177/02655322211018139