SPSS在教育统计中的应用=The Application of SPSS to Educational Statistics:英文/刘晶,杨晓明编著

定价：49.00元

出版时间：2024.4

ISBN 978-7-5024-9840-5

9787502498405

本英文教材主要配合SPSS及教育统计方面课程，其主要内容选自作者主编的中文教材《SPSS在教育统计中的应用》，它是国内较早的有关SPSS在教育领域应用的著作。

本书的主要思路是：将教育科研中经常遇到的数据统计问题，归纳分类成几类典型的教育科研需解决的问题，并说明解决各类问题的数理统计方法，最后以研究生培养实际调查案例为背景，说明如何应用SPSS来解决这些问题。全书内容共分为10章。

Contents

Chapter 1SPSS and Educational Statistical Problems

1.1What Is IBM SPSS

1.2IBM SPSS Windows Interface

1.3Statistical Questions in Educational Research

1.3.1An Educational Case

1.3.2Statistical Questions in Educational Research

1.4Level of Measurement

1.5Building SPSS Data File

1.5.1Define the Structure of the Data

1.5.2Inputting Data

1.5.3Saving the Data File

1.6Editing Data

1.6.1Searching for Data

1.6.2Adding or Deleting Cases

1.6.3Adding or Removing Variable

1.7Importing Date From Excel to IBM SPSS

Summary and Exercise

Chapter 2Common Operations on Data Files

2.1Sorting Cases

2.2Selecting Cases

2.3Aggregating Data

2.4Counting Occurrences of Values

2.5Recoding Variable

2.5.1Call the Procedure

2.5.2Recoding Operation

2.6Computing Variable

2.6.1Numeric Expression

2.6.2Function Group

2.6.3Operations of Computing Variable

2.7Standardized Variable to Z-Score

2.7.1Computing Z-Score

2.7.2The Benefits of Standardized Variable to Z-Score

2.7.3Standardized Variable to Z-Score in SPSS

Summary and Exercise

Chapter 3Descriptive Statistics

3.1Frequency

3.1.1Definition

3.1.2Numerical Example

3.2Measures of Central Tendency

3.2.1Definition

3.2.2Numerical Example

3.3Measures of Dispersion

3.3.1Definition

3.3.2Numerical Example

3.4Measures of Distribution Shape

3.4.1Definition

3.4.2Numerical Example

3.5Explore

3.5.1Definition

3.5.2Numerical Example

3.6Multiple Response

3.6.1Definition

3.6.2Numerical Example of Multiple Dichotomy

3.6.3Numerical Example of Multiple Categories

Summary and Exercise

Chapter 4Bivariate Analysis:Crosstabulation

4.1Understanding Crosstabulation

4.2Chi-Square Statistic

4.3Numerical Example

4.3.1Research Question

4.3.2Performing the Analysis

4.3.3Interpreting the Output

Summary and Exercise

Chapter 5Bivariate Analysis: Correlation

5.1Pearson’s r Correlation Coefficient

5.1.1What Is Pearson’s r Correlation Coefficient

5.1.2Numerical Example

5.2Spearman’s rho Correlation Coefficient

5.2.1What Is Spearman’s rho Correlation Coefficient

5.2.2Numerical Example

Summary and Exercise

Chapter 6The t-Test: Comparing the Means of Two Groups

6.1Independent Samples t-Test

6.1.1Understanding Independent Samples t-Test

6.1.2Numerical Example

6.2Paired Samples t-Test

6.2.1Understanding Paired Samples t-Test

6.2.2Numerical Example

Summary and Exercise

Chapter 7One-Way Between-Subject ANOVA

7.1Understanding One-Way ANOVA

7.2Numerical Example

7.2.1Research Question

7.2.2Performing the Analysis

7.2.3Interpreting the Output

Summary and Exercise

Chapter 8Multivariate Analysis:Multiple Linear Regression

8.1What Is Multiple Linear Regression

8.2Doing Regression Analysis in SPSS

8.2.1Research Question

8.2.2Performing the Analysis

8.2.3Interpreting the Output

8.3Using Categorical Variables as Predictors

8.3.1Dummy Variables

8.3.2Numerical Example

8.4Diagnostics in Regression

8.4.1Multicollinearity

8.4.2Residual Analysis

8.4.3Numerical Example

Summary and Exercise

Chapter 9Multivariate Analysis:Logistic Regression

9.1What Is Logistic Regression

9.2Doing Logistic Regression Analysis in SPSS

9.2.1Research Question

9.2.2Performing the Analysis

9.2.3Interpreting the Output

Summary and Exercise

Chapter 10Validity and Reliability in Educational Research

10.1What Is Validity and Reliability

10.1.1Concept and Types of Validity

10.1.2Concept and Types of Reliability

10.2Testing of Construct Validity—Factor Analysis

10.2.1Research Question

10.2.2Performing the Analysis

10.2.3Interpreting the Output

10.3Doing Reliability Analysis in SPSS

10.3.1Research Question

10.3.2Performing the Analysis

10.3.3Interpreting the Output

Summary and Exercise

References

Appendix