Set-Theoretic Methods for the Social Sciences : A Guide to Qualitative Comparative Analysis (Strategies for Social Inquiry)

個数:
電子版価格
¥5,332
  • 電子版あり

Set-Theoretic Methods for the Social Sciences : A Guide to Qualitative Comparative Analysis (Strategies for Social Inquiry)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 370 p.
  • 言語 ENG
  • 商品コード 9781107013520
  • DDC分類 300.721

Full Description

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.

Contents

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.

最近チェックした商品