SPSS Data Analysis Tutorial

Name: SPSS Data Analysis Tutorial
ISBN: 9787301288535

刘爱玉 / 田志鹏Aug 2025

3.5

Word count: 73 words
Chapters: 82
ISBN: 9787301288535

Report an error Find this book

Summary

This book focuses on how to use the statistical software SPSS to describe and analyze quantitative data. It covers five parts: SPSS and social science survey research, preparation before data analysis, data description and presentation, inferential statistical methods, and correlation analysis. The book aims to present the basic principles and operations of SPSS analysis in a concise, succinct, and intuitive way, covering common frequency tables and descriptive statistical analysis, crosstabulation and association analysis, multivariate interaction analysis, comparison and testing of subpopulation means, analysis of variance, correlation analysis and linear regression analysis, as well as advanced statistical knowledge and logistic regression analysis. This book is suitable as an undergraduate textbook for related majors such as sociology, statistics, and management, and can also be read by readers interested in social survey research.

Editor's review

This book explains how to use SPSS to describe and analyze quantitative data, covering five parts: SPSS and social science survey research, preparation before data analysis, data description and presentation, inferential statistical methods, and correlation analysis. It presents the basic principles and operations of SPSS analysis in a concise, succinct, and intuitive way, covering common methods such as frequency tables and descriptive statistical analysis, cross-tabulation and association analysis, multivariate cross-tabulation analysis, comparison and testing of subgroup means, analysis of variance, correlation analysis, linear regression analysis, and logistic regression analysis. Its value lies in combining statistical principles with software operations to lower the difficulty for beginners, making it suitable as an undergraduate textbook for sociology, statistics, management, and related majors, as well as for readers interested in social survey research to study on their own. When reading, one should repeatedly practice with actual data rather than merely memorizing steps without understanding the principles.

Who it's for

A good fit for

Undergraduate students in sociology, statistics, management, and related majors
Graduate students who need to complete quantitative coursework or survey analysis
Readers interested in social survey research who wish to study on their own
Researchers who need to use SPSS for basic statistical analysis

Not a good fit for

Experienced users already proficient in advanced SPSS programming and syntax operations
People who only want to learn statistical theory and are unwilling to operate the software
Professional readers who need in-depth instruction in advanced multivariate statistical methods

Reading tips

Read in chapter order while operating SPSS, reproducing each method with the example data.
First master the data description and presentation section, then move on to inferential statistics and regression analysis.
Organize the operation steps in the book into your own analysis workflow notes for future reference.
Do a small analysis exercise with your own survey data to test the learning outcome.

版权信息
前言
第一章 SPSS与社会科学调查研究
一、问题的提出
二、提出研究假设
三、设计研究方案
四、收集资料
五、SPSS与资料的整理分析
第二章 SPSS基本知识
一、SPSS的启动和退出
二、SPSS主要窗口介绍
三、SPSS的求助系统
第三章数据录入
一、问卷设计及编码
二、使用SPSS窗口录入数据
三、用SPSS命令程序录入数据
四、在Excel中录入数据
五、利用EpiData程序录入数据
第四章 SPSS数据文件的编辑与管理
一、增加新的变量或个案
二、删除变量或个案
三、数据查找和替换
四、数据的排序
五、数据的行列变换
六、数据文件的合并
七、数据文件的分类汇总
八、选择个案
九、对变量进行加权
第五章数据变换
一、用Recode对变量重新编码
二、用Compute命令对变量计算赋值
三、用Count命令统计同类情况的频次
四、生成新变量指示变量取值序次
五、自动对变量重新编码
六、对缺失值自动赋值
第六章频次表与描述统计分析
一、生成变量频次统计表
二、在频次分析中完成描述统计
三、条形图、饼图和直方图
四、定距变量的描述统计与生成标准分
五、探索性描述分析
第七章交互表与关联分析（Crosstabs的应用）
一、交互表的基本形式
二、输出交互表
三、期望值、百分比和残差
四、定类-定类变量的交互分析
五、两个定类变量之间相关的强度
六、两个定序变量之间相关的强度
七、Kappa选项的含义与操作
八、Risk选项的含义与操作
第八章引入其他变量后的交互分析
一、因果分析：排除虚假相关
二、阐明分析：发现中介变量
三、条件分析：排除压抑变量
第九章子总体均值比较与检验（Means和T-Test的应用）
一、子总体均值的比较（Means过程）
二、单样本T检验（One-Sample T Test）
三、独立样本T检验（Independent-Samples T Test）
四、配对样本T检验（Paired-Samples T Test）
第十章方差分析（One-Way ANOVA）
一、方差分析的原理
二、用SPSS进行单因素方差分析
三、双因素方差分析
第十一章相关分析（Correlate过程）
一、双变量相关分析（Bivariate Correlation）
二、偏相关分析（Partial Correlations）
三、距离分析（Distances）
第十二章线性回归分析（Linear Regression）
一、一元线性回归模型及其对变量的要求
二、一元线性回归模型实例
三、多元线性回归分析
第十三章 Logistic回归分析
一、Logistic回归模型
二、Logistic回归模型实例
三、在回归模型中引入交互项
第十四章 SPSS统计图形
一、图表建构器
二、图形画板模板选择程序
三、比较子组制图程序
四、回归变量图
附录一 Stata简介
附录二本书各章例题对应Stata命令示范

FAQ

Is this book suitable for learning SPSS from scratch?

The book strives to present the basic principles and operations of SPSS analysis in a concise, succinct, and intuitive way, covering content from data preparation to descriptive statistics, inferential statistics, and correlation analysis. It is suitable as an undergraduate textbook for beginners to study systematically, but readers still need basic statistical knowledge and hands-on practice.

What statistical analysis methods are included in the book?

It mainly includes frequency tables and descriptive statistical analysis, cross-tabulation and association analysis, multivariate cross-tabulation analysis, comparison and testing of subgroup means, analysis of variance, correlation analysis, linear regression analysis, as well as advanced statistical knowledge and logistic regression analysis.

Can this book be used as a course textbook?

Yes. The book is suitable as an undergraduate textbook for sociology, statistics, management, and related majors. Its content is organized in five parts: SPSS and social science survey research, preparation before data analysis, data description and presentation, inferential statistical methods, and correlation analysis, which facilitates course teaching arrangements.

Comments

Find this book

This site is an index: you start “Search all sources” in your browser, and the entries it lists all point to third-party sites; please judge their availability yourself.

About the author

刘爱玉 Author

Liu Aiyu: public information is limited, and at present only one work by this author is known, SPSS Data Analysis Tutorial. Judging from the title and the common category "exams," the book addresses the learning and exam-preparation needs associated with the statistical software SPSS and is a practical guide that is both instructional and tool-oriented. Tutorials of this kind usually center on step-by-step operations, case demonstrations, and interpretation of results, helping readers master basic skills such as data preparation, statistical analysis, and chart presentation. Liu Aiyu's writing style is therefore likely to be clear and well organized, with an emphasis on hands-on practice, making it easy for beginners to follow the exercises in order and useful for exam candidates reviewing and filling gaps. Because no reliable record of the author's life, education, or research direction is available, no speculation is offered here; based solely on the existing work, the contribution lies in organizing SPSS operations into followable learning materials for readers who need to take related exams or conduct basic data analysis.

田志鹏 Author

Tian Zhipeng is an author about whom limited public information is available; only one work by this name can currently be found, namely the SPSS Data Analysis Tutorial. Judging from its title and positioning, the book is an操作-oriented textbook on the statistical software SPSS, intended for learners who need to master data preparation, statistical analysis, and interpretation of results, and it commonly falls under the categories of examination and teaching reference. As a textbook author, Tian Zhipeng focuses on explaining software operations and statistical methods clearly, so that readers can practice step by step and apply them to coursework or exam preparation. Because biographical, educational, and professional details are lacking, it is difficult to determine the author's background or research direction, and the book's specific edition, publisher, and market reception cannot be confirmed. Overall, the visible writing profile is that of a practical, technique-oriented tutorial that emphasizes usability rather than theoretical exposition, making it suitable as a supplementary reader for introductory and practice stages.