Applied Univariate, Bivariate, and Multivariate Statistics

Applied Univariate, Bivariate, and Multivariate Statistics offers a well-balanced blend of statistical theory and practical application. This comprehensive text serves as an accessible introduction to a wide range of statistical techniques prevalent in the social and behavioral sciences. It covers essential methods like t-tests and correlation, progressing towards advanced procedures such as MANOVA, factor analysis, and structural equation modeling, while delving into the technical and theoretical foundations underlying effective data analysis. Designed with both the beginner and the experienced researcher in mind, the book includes detailed demonstrations using statistical software packages like R and SPSS. With illustrative examples featuring both hypothetical and real data, the text also provides insights into the historical and philosophical contexts of modern statistical techniques. Ideal for upper-level undergraduate and graduate courses in disciplines such as psychology, political science, sociology, and more, this work stands as a valuable resource for teaching, research, and practical application in statistical analysis.