书籍详情
IBM SPSS 23 统计软件应用教程
作者:陈平雁 著
出版社:郑州大学出版社
出版时间:2021-02-01
ISBN:9787564573751
定价:¥79.00
购买这本书可以去
内容简介
Performing Statistical Analysis with IBM SPSS 23 is written to become an aid in the beginning statistical analysis to students or clinical doctors whose mathematical background is limited to basic algebra. The book puts focus on data file formats, operation steps, results' interpretation, and tries to avoid a deep introduction to programming content and statistical method background. Therefore, the book is mainly aimed at medical students, or students from other healthcare related professions such as pharmacy or public health services who need to face with a lot of data from patients monitoring and laboratory tests.
作者简介
暂缺《IBM SPSS 23 统计软件应用教程》作者简介
目录
Chapter 1 Overview and Basic Steps in Data Analysis
1.1 The operating environment of IBM SPSS 23
1.2 Windows and view
1.3 Data file creation, import and export
1.4 Attribute setting of data reading and writing
Chapter 2 Data Management
2.1 Data Edition
2.2 Data Validation
2.3 Identify Duplicate Cases
2.4 Identify Unusual Cases
2.5 Sort Cases
2.6 Sort Variables
2.7 Transpose
2.8 Merge Files
2.9 Data Restructure
2.10 Aggregate Data
2.11 Copy Dataset
2.12 Split Files
2.13 Select Cases
2.14 Weight Cases
Chapter 3 Transform
3.1 Computing Variable
3.2 Counting Values within Cases
3.3 Shifting Values
3.4 Recoding data
3.5 Automatic Recode
3.6 Visual Binning
3.7 Optimal Binning
3.8 Ranking Cases
3.9 Replacing missing values
3.10 Random number generators
Chapter 4 Analysis of Descriptive Statistics
4.1 Frequencies
4.2 Descriptives
4.3 Explore
4.4 Crosstabs
4.5 Ratio
4.6 P-P Plots/Q-Q Plots
……
Chapter 5 Compare Means
Chapter 6 General Linear Model
Chapter 7 Correlation &Regression
Chapter 8 Classify
Chapter 9 Reliability Analysis
Chapter 10 Nonparametric Tests
Chapter 11 Survival Analysis
Chapter 12 Graphs
Chapter 13 Comprehensive Data Analysis
References
Appendix
1.1 The operating environment of IBM SPSS 23
1.2 Windows and view
1.3 Data file creation, import and export
1.4 Attribute setting of data reading and writing
Chapter 2 Data Management
2.1 Data Edition
2.2 Data Validation
2.3 Identify Duplicate Cases
2.4 Identify Unusual Cases
2.5 Sort Cases
2.6 Sort Variables
2.7 Transpose
2.8 Merge Files
2.9 Data Restructure
2.10 Aggregate Data
2.11 Copy Dataset
2.12 Split Files
2.13 Select Cases
2.14 Weight Cases
Chapter 3 Transform
3.1 Computing Variable
3.2 Counting Values within Cases
3.3 Shifting Values
3.4 Recoding data
3.5 Automatic Recode
3.6 Visual Binning
3.7 Optimal Binning
3.8 Ranking Cases
3.9 Replacing missing values
3.10 Random number generators
Chapter 4 Analysis of Descriptive Statistics
4.1 Frequencies
4.2 Descriptives
4.3 Explore
4.4 Crosstabs
4.5 Ratio
4.6 P-P Plots/Q-Q Plots
……
Chapter 5 Compare Means
Chapter 6 General Linear Model
Chapter 7 Correlation &Regression
Chapter 8 Classify
Chapter 9 Reliability Analysis
Chapter 10 Nonparametric Tests
Chapter 11 Survival Analysis
Chapter 12 Graphs
Chapter 13 Comprehensive Data Analysis
References
Appendix
猜您喜欢