STATISTICS 13: Analysis of Sample Size, Regression, CFA, and KMO Tests

This statistics assignment addresses key concepts including Cochran's (1963) sample size formula, which is explained in detail. It covers the formula's application, its modification for small populations, and its use alongside the Kaiser-Meyer-Olkin (KMO) test for data suitability in factor analysis. The assignment also explores regression analysis and confirmatory factor analysis (CFA), detailing their application in SPSS. Specifically, it explains how to run regression analysis to predict variable values and how to conduct CFA to test the consistency of measures. The assignment includes step-by-step instructions for performing CFA in SPSS, covering model specification, factor loading, and testing. It concludes with a list of relevant references.