SPSS for Windows Statistical Product and Service Solutions Tutorial (1CD)

Author: Hong Nan
Publisher:
Publish Date: 2003-04-01
Features: SPSS (Statistical Package for Social Science) for Windows is one of the most popular window-based statistical software packages internationally and the world's most widely used statistical analysis software system. In recent years, its own progress has been remarkable, especially since the official release of version 11.0 in September 2001, which has seen significant improvements in functionality, interface, and compatibility with Chinese characters, giving it a completely new look. The current meaning of SPSS/Win (v11.0) is Statistical Product and Service Solutions (Statistical Products and Services Solutions). This book introduces various statistical analysis methods in SPSS/Win (v11.0) in a novel way, using a large number of examples, including statistical reports (Reports) and custom tables (Custom Tables), descriptive statistics (Descriptive Statistics), mean comparison analysis (Compare Means), general (generalized) linear models (General Linear Model), correlation analysis (Correlation), regression analysis (Regression), classification analysis (Classify), data reduction (dimensionality reduction) analysis (Data Reduction), scale (scale) analysis (Scale), nonparametric tests (Nonparametric Tests), time series analysis (Time Series), survival analysis (Survival), and multiple response analysis (Multiple Response), among others, and provides statistical analysis and inference on the output results. Additionally, it introduces the basic knowledge and skills of SPSS/Win (v11.0) as well as graphing (Graphs) methods. The content and methods of this book are widely applicable to natural sciences, social sciences, especially in fields such as economics, biology, finance, and healthcare, covering multiple disciplines, professions, and levels. It is suitable for graduate students, scientific and technological personnel, college students, and computer practitioners in enterprises and institutions from relevant fields.