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Set-Theoretic Methods for the Social Sciences : a Guide to Qualitative Comparative Analysis / Carsten Q. Schneider and Claudius Wagemann.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Strategies for social inquiryDetalles de publicación: Cambridge : Cambridge University Press, 2012.Descripción: xvii, 350 p. ; 25 cmISBN:
  • 9781107013520 (hardback)
  • 9781107601130 (paperback)
Tema(s): Clasificación LoC:
  • H 61 S2 2012
Contenidos:
Machine generated contents note: 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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Tipo de ítem Biblioteca actual Biblioteca de origen Colección Signatura topográfica Estado Fecha de vencimiento Código de barras
Monografia Monografia Tijuana Tijuana Acervo General H 61 S2 2012 (Navegar estantería(Abre debajo)) Disponible 042442

Incluye referencias bibliográficas e índice.

Machine generated contents note: 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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