This bundle consists of two study books by Rebecca M. Warner on applied statistics, focused on data processing and analysis. The books cover in-depth statistical techniques with practical examples for the social sciences and other fields.
Applied Statistics I: Basic Bivariate Techniques covers core concepts such as partition of variance and effect size. The emphasis is on the use of effect size and confidence intervals rather than traditional significance tests. This section includes SPSS examples and provides access to downloadable datasets. In addition, a companion study guide appears with exercises and examples in R.
Applied Statistics II: Multivariable and Multivariate Techniques builds on the foundation with topics such as statistical control, outliers, structural equation modeling, and the "new statistics". Here too there are SPSS examples and online data available, complemented by a companion study guide in R for deeper understanding.
This bundle is suitable for students and instructors who want to expand their knowledge of applied statistics and develop practical skills with effect size, SPSS examples, and companion study guides.