Social Statistics

刘渝琳 / 林永强 / 吴明娥 / 龙少波Chongqing University Press · ChinaSep 2021

Rating 3.8
Word count
127K words
Chapters
71
ISBN
9787568921565

Tags

Social Sciences Parameter EstimationRegression AnalysisTime SeriesSocial ResearchQuantitative ResearchEmpirical AnalysisSample SurveyStatistical InferenceAnalysis of VarianceStatistical Methods

Summary

Social Statistics is a specialized methodology and technique that applies general statistical principles to quantitatively describe or infer the static structures and dynamic trends of society.

Social Statistics systematically introduces the fundamentals of social statistics. Starting from statistical surveys and building on descriptive statistical analysis, it guides social statistical analysis from the static to the dynamic through parameter estimation, statistical testing, analysis of variance, regression analysis, and time-series analysis.

Social Statistics can serve as a textbook for undergraduate students in non-statistics social science programs at colleges and universities, and as a training book for professionals in statistics, accounting, and related fields.

Editor's review

Published by Chongqing University Press, Social Statistics is authored by Professor Liu Yulin, who has long worked in the field of socioeconomic statistics and possesses a solid academic background and rich teaching experience. This is not a dense, obscure work of pure theory but rather an effort to bridge statistical principles and social research practice. Its core value lies in systematically explaining how to apply abstract statistical methods to the analysis of concrete social problems. The content covers the main scope from basic descriptive statistics to advanced inferential statistics—such as hypothesis testing, analysis of variance, and regression models—and emphasizes practical operation in software such as SPSS. This gives the book a good balance between theoretical rigor and practical guidance. For readers, its value lies not only in mastering a set of technical tools but also in cultivating an empirical mindset of "letting data speak"—learning how to scientifically design surveys, process data, and reasonably interpret analytical results, thereby avoiding common pitfalls of data misinterpretation. In an age of information overload and conflicting opinions, this capacity for rational, data-based analysis is particularly valuable.

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Reading tips

  1. Reading in chapter order is recommended; be sure to practice with the worked examples and exercises in the book to understand the social meaning behind each calculation step.
  2. While reading, choose a social issue that interests you and try to imitate the analytical framework in the book by drafting a mini research proposal, applying what you learn.
  3. For the software operation sections, do not memorize menu steps by rote; focus on understanding the correspondence between analytical objectives and output results, and develop the ability to generalize from one case to others.

About the publisher

Chongqing University Press China · Founded in 1985

Chongqing University Press is a comprehensive university press whose publishing areas span social and cultural studies, industrial technology, finance and economics, medicine, social psychology, and theory. Judging from its catalog, the press publishes both academic works and popular science titles. Representative books include E. H. Gombrich's Shadows: The Depiction of Cast Shadows in Western Art, Magnesium-Based Hydrogen Storage Materials by Pan Fusheng et al., Research on China's Regional Spatial Development Models by Sun Jiuwen, and titles from the Gynecologic Oncology Committee of the Chinese Anti-Cancer Association, such as the Guidelines for Diagnosis and Treatment of Common Gynecologic Malignancies in China (2019) and Bipolar Disorder: What You and Your Family Need to Know. Its authors work in art history, materials science, regional economics, clinical medicine, and social research methods. Public information is limited, but its publishing profile combines academic translation, industrial technology, and practical medical guides.

Contents

  1. 版权信息
  2. 内容提要
  3. 前言
  4. 第1章 导论
  5. 1.1 社会统计学的研究内容
  6. 1.2 社会统计学的研究过程
  7. 1.3 统计分析方法在社会学研究中的作用
  8. 1.4 统计学在研究过程中的地位
  9. 1.5 变量的层次及统计分析方法的选择
  10. 【习题】
  11. 第2章 社会调查与数据处理
  12. 2.1 社会调查研究的类型
  13. 2.2 社会调查研究流程
  14. 2.3 社会调查资料的特点
  15. 2.4 问卷调查资料的整理
  16. 【习题】
  17. 第3章 单变量的描述统计分析
  18. 3.1 单变量的分布及其描述方法
  19. 3.2 集中趋势
  20. 3.3 离散趋势
  21. 【习题】
  22. 第4章 描两个述类统计别变量关系的
  23. 4.1 列联表分析
  24. 4.2 分类图
  25. 4.3 列联相关系数
  26. 4.4 等级相关系数
  27. 【习题】
  28. 第5章 描两个述尺统度计变量关系的
  29. 5.1 相关分析
  30. 5.2 回归分析
  31. 5.3 相关与回归的比较
  32. 【习题】
  33. 第6章 关类别系变的量描述与尺统度计变量
  34. 6.1 平均值比较分析
  35. 6.2 相关比率
  36. 【习题】
  37. 第7章 参数估计
  38. 7.1 参数估计的基本原理
  39. 7.2 一个总体参数的区间估计
  40. 7.3 两个总体参数的区间估计
  41. 7.4 样本量的确定
  42. 【习题】
  43. 第8章 假设检验
  44. 8.1 假设检验的基本概念与原理
  45. 8.2 正态总体均值与方差的假设检验
  46. 8.3 非正态总体参数的假设检验
  47. 8.4 应用案例
  48. 【习题】
  49. 第9章 方差分析
  50. 9.1 一元方差分析
  51. 9.2 二元方差分析
  52. 【习题】
  53. 第10章 多元线性回归
  54. 10.1 回归研究的对象
  55. 10.2 多元回归方程的拟合优度
  56. 10.3 显著性检验
  57. 10.4 多重共线性
  58. 10.5 用回归方程进行预测
  59. 【习题】
  60. 第11章 时间序列分析
  61. 11.1 时间序列及平稳性与检验
  62. 11.2 平稳时间序列的统计性质
  63. 11.3 纯随机性检验
  64. 11.4 时间序列预测的步骤
  65. 【习题】
  66. 附录
  67. 附表1 标准正态分布函数数值表
  68. 附表2 t-分布临界值表
  69. 附表3 χ2分布临界值表
  70. 附表4 F-分布临界值表
  71. 参考文献

FAQ

Is the math in this book difficult? How strong a foundation is needed? The book is positioned as an introductory-to-intermediate textbook in social statistics and assumes only high-school-level mathematics. It emphasizes the social science application of statistical thinking, simplifies complex mathematical derivations, and focuses more on explaining principles and interpreting results.
Is the statistical software version used in the book outdated? The book mainly uses SPSS to explain operations. Although the software interface may change across versions, its core statistical analysis logic, menu-path framework, and principles of result interpretation remain the same. After mastering the content of this book, migrating to newer versions or similar software (such as Stata or R) is not difficult.
How is this book different from a pure statistics textbook or a pure sociological theory book? Pure statistics textbooks tend to focus on mathematical principles and formula derivation; pure sociological theory books focus on concepts and speculation. This book's distinctive feature is the integration of the two: it explains necessary statistical techniques but always places them within the problem context of social science research, emphasizing how to use these techniques to test theories and answer social questions—guidance at the methodological level.

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About the author

刘渝琳 Author

Liu Yulin: currently, publicly available information is limited, and it is not possible to confirm the author's nationality, dates of birth and death, or detailed academic background. According to the library's holdings, the work Social Statistics is classified under social sciences and is the only title by this author currently visible. As an interdisciplinary field between sociology and statistics, social statistics generally involves the design of social surveys, data collection and organization, and statistical description and inference, serving the quantitative analysis of social phenomena and social problems. The book's placement in the social sciences category suggests that its intended readers may include students and researchers in sociology, social work, and related fields. Because no other works or biographical details are recorded, it is difficult at present to judge the author's overall writing style or academic trajectory; based on the available information, Liu Yulin's contribution is mainly embodied in this textbook or research work, and its influence awaits corroboration from further materials.

林永强 Author

Lin Yongqiang: available public information is limited, and his nationality, dates of birth and death, and educational background cannot currently be confirmed. Judging from the works held in the database, he has at least two books, one in the social sciences and one in medicine, showing an interdisciplinary range of interests. His representative work Social Statistics falls under the social sciences and is presumably a textbook or monograph that systematically introduces the application of statistical methods in social research; Exploring Honeysuckle belongs to medicine and is presumably an informative introduction to this medicinal plant. The two works differ markedly in subject—one emphasizes methods and data, the other drugs and health—suggesting that the author can handle both technical statistical content and popular medical knowledge. Because reliable material on his life and writing style is lacking, this description is based solely on the subjects of his works and does not speculate about his biography, positions, or influence.

吴明娥 Author

Wu Ming'e is an author about whom limited public information is available. Her only confirmed work is Social Statistics, which falls under the category of social sciences. Because the database contains just one title by her, and basic details such as nationality, dates of birth and death, and English name remain unknown, it is difficult to sketch a complete picture of her life or academic background. From the available clues, her writing centers on the subject of social statistics, a methodological field aimed at students and researchers in the social sciences. Such work typically covers the collection, organization, analysis, and interpretation of data to support empirical research in sociology and related disciplines. Books of this kind tend to emphasize clear concepts and practical methods so that readers can apply statistical tools to the analysis of real social phenomena. Although more public material would be needed to comment on her personal experience or writing style, Social Statistics stands as her representative work, offering readers a useful reference for understanding social statistical methods and serving as the main basis for knowing this author at present.

龙少波 Author

Long Shaobo is an author about whom limited public information is currently available; his name appears as the author of the social science book Social Statistics. Because biographical details, education, and professional positions are unavailable, no speculation is made here about his personal background. Judging from this work, he focuses on the methodological subject of social statistics within the social sciences, covering basic matters such as data collection, organization, and analysis, and addressing sociology and related majors who need to master statistical tools. Writing of this kind generally requires clear concepts, a rigorous structure, and efforts to connect methods with practical problems in social research. Only one of his works is included in the collection, which is not enough to judge his overall writing style or academic background, nor to assess his influence. Readers who wish to learn more may consult the book's specific chapters and publication information themselves.