Social Statistical Analysis -- SPSS Application Tutorial

Author: Zhou Shuang
Publisher:
Publish Date: 2006-03-01
Features: This book is divided into 14 chapters. Chapters 1~4 introduce the preliminary knowledge of SPSS. Chapters 5~7 cover descriptive statistics. Chapter 8 introduces methods for comparing the means of two subpopulations. Chapter 9 discusses the methods of correlation analysis. Chapter 10 presents the statistical techniques for analyzing multiple-choice data, which is essential for statistical analysis. Chapter 11 covers non-parametric tests, which can be used for testing when data is not normally distributed. Chapter 12 introduces both univariate and multivariate linear regression analysis. Chapter 13 discusses the analysis methods of clustering. Chapter 14 explores the application of conjoint analysis. The first 12 chapters cover all basic statistical analysis methods of SPSS, with various descriptive graphics specially processed for clarity. Chapters 13 and 14 introduce clustering analysis and conjoint analysis techniques, which are important tools for market research and brand studies. Although SPSS versions are updated almost every year, adding some modules and functions, the conventional statistical commands and dialog boxes remain largely unchanged. Therefore, the content of this book is applicable to various versions of SPSS. The book features up-to-date content, abundant examples, and rich exercises at the end of each chapter. Solutions to the exercises are provided in the appendix. This book can serve as a textbook for relevant courses in humanities disciplines at universities, as well as a self-study or training manual for professionals.