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IBM SPSS 23 統計軟件應用教程 版權信息
- ISBN：9787564573751
- 條形碼：9787564573751 ; 978-7-5645-7375-1
- 裝幀：一般膠版紙
- 冊數：暫無
- 重量：暫無
- 所屬分類：>
IBM SPSS 23 統計軟件應用教程 內容簡介
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.
IBM SPSS 23 統計軟件應用教程 目錄
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
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