Statistical Analysis Application Tutorial -- Selected Examples of SPSS, LISREL & SAS

Author: Ruan Guihai
Publisher:
Publishing Time: Not available
Features: Through this book, you can understand or master the following content: questionnaire survey methods, data coding, the best steps for statistical analysis, etc. SPSS statistical analysis knowledge: Using SPSS for descriptive statistics, comparison of means in subpopulations, 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 universities and colleges; 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 include various basic statistical analysis methods, with the descriptive graphics drawn using newly developed techniques. Chapters 14 to 27 almost cover all advanced and specialized statistics, making them suitable for SPSS users in all fields. Especially 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 universities and colleges. It can also be used as a self-study guide for non-computer majors and as a valuable tool for employment after graduation. It is also an effective 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.