The fundamentals of social research
著者
書誌事項
The fundamentals of social research
Cambridge University Press, 2023
- : hardback
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. 273-278) and index
内容説明・目次
内容説明
This textbook provides an introduction to the scientific study of sociology and other social sciences. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on society. The authors present an integrated approach to research design and empirical analyses in which researchers can develop and test causal theories. They use examples from social science research that students will find engaging and inspiring and that will help them to understand key concepts. The book makes technical materials accessible to students who might otherwise be intimidated by mathematical examples. This new text, with the addition of sociologist Steven A. Tuch to the author team, follows the successful format, approach, and pedagogical features in Paul M. Kellstedt and Guy D. Whitten's bestselling text, The Fundamentals of Political Science Research, now in its third edition. Workbooks in Stata, SPSS, and R, three of the most popular statistical analysis programs, are available as separate purchases to accompany this textbook, enabling students to connect the lessons of this book to hands-on applications of the software.
目次
- List of Figures
- List of Tables
- Preface
- Acknowledgments
- 1. The Scientific Study of Society
- 2. The Art of Theory Building
- 3. Evaluating Causal Relationships
- 4. Research Design
- 5. Survey Research
- 6. Measuring Concepts of Interest
- 7. Getting to Know Your Data
- 8. Probability and Statistical Inference
- 9. Bivariate Hypothesis Testing
- 10. Two-Variable Regression Models
- 11. Multiple Regression
- 12. Putting it all Together to Produce Effective Research
- Appendix A. Critical Values of Chi-square
- Appendix B. Critical Values of t
- Appendix C. The Link Function for Binomial Logit Models
- Appendix D. The Link Function for Binomial Probit Models
- References
- Index.
「Nielsen BookData」 より