本书介绍了社会科学统计软件包（SPSS）和教育统计方面的相关知识。本书采用“典型问题→统计方法→案例分析”的编写模式，以教育研究中的典型问题、典型统计方法为导向，侧重介绍应用SPSS解决这些典型问题的基本方法。
本书为来华留学生用专业英文教材，也可作为教育类相关专业双语教学及英语课程建设的专业英文教材。

Chapter 1 SPSS and Educational Statistical Problems
1.1 What Is IBM SPSS
1.2 IBM SPSS Windows Interface
1.3 Statistical Questions in Educational Research
1.3.1 An Educational Case
1.3.2 Statistical Questions in Educational Research
1.4 Level of Measurement
1.5 Building SPSS Data File
1.5.1 Define the Structure of the Data
1.5.2 Inputting Data
1.5.3 Saving the Data File
1.6 Editing Data
1.6.1 Searching for Data
1.6.2 Adding or Deleting Cases
1.6.3 Adding or Removing Variable
1.7 Importing Date From Excel to IBM SPSS
Summary and Exercise
Chapter 2 Common Operations on Data Files
2.1 Sorting Cases
2.2 Selecting Cases
2.3 Aggregating Data
2.4 Counting Occurrences of Values
2.5 Recoding Variable
2.5.1 Call the Procedure
2.5.2 Recoding Operation
2.6 Computing Variable
2.6.1 Numeric Expression
2.6.2 Function Group
2.6.3 Operations of Computing Variable
2.7 Standardized Variable to Z-Score
2.7.1 Computing Z-Score
2.7.2 The Benefits of Standardized Variable to Z-Score
2.7.3 Standardized Variable to Z-Score in SPSS
Summary and Exercise
Chapter 3 Descriptive Statistics
3.1 Frequency
3.1.1 Definition
3.1.2 Numerical Example
3.2 Measures of Central Tendency
3.2.1 Definition
3.2.2 Numerical Example
3.3 Measures of Dispersion
3.3.1 Definition
3.3.2 Numerical Example
3.4 Measures of Distribution Shape
3.4.1 Definition
3.4.2 Numerical Example
3.5 Explore
3.5.1 Definition
3.5.2 Numerical Example
3.6 Multiple Response
3.6.1 Definition
3.6.2 Numerical Example of Multiple Dichotomy
3.6.3 Numerical Example of Multiple Categories
Summary and Exercise
Chapter 4 Bivariate Analysis:Crosstabulation
4.1 Understanding Crosstabulation
4.2 Chi-Square Statistic
4.3 Numerical Example
4.3.1 Research Question
4.3.2 Performing the Analysis
4.3.3 Interpreting the Output
Summary and Exercise
Chapter 5 Bivariate Analysis: Correlation
5.1 Pearson's r Correlation Coefficient
5.1.1 What Is Pearson's r Correlation Coefficient
5.1.2 Numerical Example
5.2 Spearman's tho Correlation Coefficient
5.2.1 What Is Spearman's tho Correlation Coefficient
5.2.2 Numerical Example
Summary and Exercise
Chapter 6 The t-Test: Comparing the Means of Two Groups
6.1 Independent Samples t-Test
6.1.1 Understanding Independent Samples t-Test
6.1.2 Numerical Example
6.2 Paired Samples t-Test
6.2.1 Understanding Paired Samples t-Test
6.2.2 Numerical Example
Summary and Exercise
Chapter 7 One-Way Between-Subject ANOVA
7.1 Understanding One-Way ANOVA
7.2 Numerical Example
7.2.1 Research Question
7.2.2 Performing the Analysis
7.2.3 Interpreting the Output
Summary and Exercise
Chapter 8 Multivariate Analysis: Multiple Linear Regression
8.1 What Is Multiple Linear Regression
8.2 Doing Regression Analysis in SPSS
8.2.1 Research Question
8.2.2 Performing the Analysis
8.2.3 Interpreting the Output
8.3 Using Categorical Variables as Predictors
8.3.1 Dummy Variables
8.3.2 Numerical Example
8.4 Diagnostics in Regression
8.4.1 Multicollinearity
8.4.2 Residual Analysis
8.4.3 Numerical Example
Summary and Exercise
Chapter 9 Multivariate Analysis: Logistic Regression
9.1 What Is Logistic Regression
9.2 Doing Logistic Regression Analysis in SPSS
9.2.1 Research Question
9.2.2 Performing the Analysis
9.2.3 Interpreting the Output
Summary and Exercise
Chapter 10 Validity and Reliability in Educational Research
10.1 What Is Validity and Reliability
10.1.1 Concept and Types of Validity
10.1.2 Concept and Types of Reliability
10.2 Testing of Construct Validity-Factor Analysis
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