Statistical Analysis Application Tutorial: SPSS, LISREL & SAS Case Studies: SPSS, LISREL & SAS Case Studies

Author: Ruan Guihai
Publisher:
Publish Date: 2003-07-01
Features: Through this book, you can understand or master the following content:
Questionnaire survey methods, data encoding, the best steps for statistical analysis, and other SPSS statistical analysis knowledge
Using SPSS for descriptive statistics, comparison of subpopulation means, correlation analysis, nonparametric tests, market analysis, statistical analysis of multiple choices, cluster analysis and discriminant analysis, log-linear analysis, survival analysis, various analysis of variance, multiple regression analysis and nonlinear regression analysis, and other statistical analyses
Path analysis using LISREL structural models
Basic usage of SAS
Target Audience: Students of economics, statistics, marketing, medicine, human geography, sociology, and management in various colleges and universities; students from non-computer majors; statisticians; researchers; and a broad range of natural science workers; participants in SPSS qualification certification exams.
The first 10 chapters of this book cover various basic statistical analysis methods, with the descriptive graphics in these chapters drawn using newly developed techniques.
Chapters 14 to 27 nearly include all advanced and specialized statistics, making them suitable for SPSS users in all fields.
Particularly, Chapters 11 and 12 introduce new technologies such as correspondence analysis and conjoint analysis, which are powerful tools for modern market research.
Chapter 28 is "Continue Learning LISREL with Me," and Chapter 29 is "Continue Learning SAS with Me."
Adding these two aspects makes the book versatile and doubles its value.
This book can serve as a textbook for computer numerical statistics courses in economics, statistics, marketing, medicine, psychology, human geography, sociology, and management in various colleges and universities. It can also be used as a self-study guide for non-computer majors and as a valuable resource for employment after graduation.
It is also a powerful tool for statisticians, researchers, and a broad range of natural science workers to conduct quantitative research. Additionally, it is the preferred textbook for participants in SPSS qualification certification exams.