Set-Theoretic Methods for the Social Sciences pdf epub mobi txt 電子書下載2025

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出版者:Cambridge University Press

作者:Carsten Q. Schneider

出品人:

頁數:370

译者:

出版時間:2012-8-30

價格:GBP 28.99

裝幀:Paperback

isbn號碼:9781107601130

叢書系列:Strategies for Social Inquiry

圖書標籤:

方法論
QCA
社會科學
研究方法
政治科學
政治學
政治分析
集閤論
社會科學
數學建模
方法論
博弈論
政治學
經濟學
社會選擇理論
形式化建模
公理化方法

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具體描述

Qualitative Comparative Analysis (QCA) and other set-theoretic methods distinguish themselves from other approaches to the study of social phenomena by using sets and the search for set relations. In virtually all social science fields, statements about social phenomena can be framed in terms of set relations, and using set-theoretic methods to investigate these statements is therefore highly valuable. This book guides readers through the basic principles of set theory and then on to the applied practices of QCA. It provides a thorough understanding of basic and advanced issues in set-theoretic methods together with tricks of the trade, software handling and exercises. Most arguments are introduced using examples from existing research. The use of QCA is increasing rapidly and the application of set-theory is both fruitful and still widely misunderstood in current empirical comparative social research. This book provides the comprehensive guide to these methods for researchers across the social sciences.

著者簡介

Carsten Q. Schneider is Associate Professor in the Department of Political Science and Founding Director of the Center for the Study of Imperfections in Democracies at Central European University, Hungary.

Claudius Wagemann is Lecturer in the Doctoral Program in Political Science at the Istituto Italiano di Scienze Umane (SUM), Florence.

圖書目錄

Introduction;
Part I. Set-Theoretic Methods: The Basics:
1. Sets, set membership, and calibration;
2. Notions and operations in set theory;
3. Set relations;
4. Truth tables;
Part II. Neat Formal Logic Meets Noisy Social Science Data:
5. Parameters of fit;
6. Limited diversity and logical remainders;
7. The truth table algorithm;
Part III. Potential Pitfalls and Suggestions for Solutions:
8. Potential pitfalls in the standard analysis procedure and suggestions for improvement;
9. Potential pitfalls in the analysis of necessity and sufficiency and suggestions for avoiding them;
Part IV. Variants of QCA as a Technique Meet QCA as an Approach:
10. Variants of QCA;
11. Data analysis technique meets set-theoretic approach;
12. Looking back: looking ahead;
Glossary.
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