SPSS 12 Statistical Modeling and Practical Applications

Author: Lin Jiebin, Lin Chuanxiong, Liu Mingde
Publisher:
Publish Date: 2006-02-01
Features: This book introduces software operations while supplemented with corresponding statistical knowledge. The content is based on the fundamental functions of the latest version of SPSS 12.0 for Windows, accompanied by numerous application examples for learning. It also provides detailed statistical explanations and analyses of the output results. To facilitate reader learning, representative exercises are appended to each chapter on statistical analysis for self-study. The book covers an introduction to SPSS 12.0 for Windows, data collection and file creation, data management, an introduction to statistics, descriptive statistics and basic statistical analysis, statistical inference and hypothesis testing, non-parametric tests, cluster analysis, discriminant analysis, reliability analysis and multidimensional scaling, factor analysis and correspondence analysis, correlation analysis, and multivariate analysis of categorical data. The appendix includes a Chinese-English glossary of common statistical terms, a list of frequently used SPSS 12.0 functions, an introduction to some SPSS software products, and references for further study. While introducing statistical analysis methods, the book also explains the theory behind statistical analysis to strengthen readers' understanding of statistical model construction. Representative examples and related report descriptions are provided for each statistical method. Additionally, the book conducts a comprehensive and in-depth exploration of SPSS applications in variable analysis and regression analysis, enabling readers to master these two highly commonly used statistical methods.