The Resource Settheoretic methods for the social sciences : a guide to qualitative comparative analysis, Carsten Q. Schneider and Claudius Wagemann
Settheoretic methods for the social sciences : a guide to qualitative comparative analysis, Carsten Q. Schneider and Claudius Wagemann
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The item Settheoretic methods for the social sciences : a guide to qualitative comparative analysis, Carsten Q. Schneider and Claudius Wagemann represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of MissouriSt. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Settheoretic methods for the social sciences : a guide to qualitative comparative analysis, Carsten Q. Schneider and Claudius Wagemann represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of MissouriSt. Louis Libraries.
This item is available to borrow from 1 library branch.
 Summary
 A 'user's guide' to Qualitative Comparative Analysis (QCA) and the methodological family of settheoretic methods in social science
 Language

 eng
 ger
 eng
 Extent
 1 online resource (xviii, 350 pages)
 Contents

 Cover; SetTheoretic Methods for the Social Sciences; Title; Copyright; Dedication; Contents; Figures; Tables; Acknowledgements; Introduction; Settheoretic approaches in the social sciences; Qualitative Comparative Analysis as a settheoretic approach and technique; Variants of QCA; Plan of the book; How to use this book; Part I Settheoretic methods: the basics; 1 Sets, set membership, and calibration; 1.1 The notion of sets; 1.1.1 Sets and concepts; 1.1.2 The pros and cons of crisp sets; 1.1.3 Properties of fuzzy sets; 1.1.4 What fuzzy sets are not
 1.2 The calibration of set membership1.2.1 Principles of calibration; 1.2.2 The use of quantitative scales for calibration; 1.2.3 The "direct" and "indirect" methods of calibration; 1.2.4 Does the choice of calibration strategy matter much?; 1.2.5 Assessing calibration; 2 Notions and operations in set theory; 2.1 Conjunctions, Boolean and fuzzy multiplication, intersection, logical AND; 2.2 Disjunctions, Boolean and fuzzy addition, union, logical OR; 2.3 Negations, complements, logical NOT; 2.4 Operations on complex expressions; 2.4.1 Rules for combining logical operators
 2.4.2 Negation, intersection, and union of complex sets2.4.3 Calculating membership in complex sets; 2.5 Relations between sets; 2.6 Notational systems in settheoretic methods; 3 Set relations; 3.1 Sufficient conditions; 3.1.1 Crisp sets; 3.1.1.1 Basic logic of sufficiency; 3.1.1.2 A formal analysis of sufficiency in csQCA; 3.1.2 Fuzzy sets; 3.1.2.1 Basic logic of sufficiency; 3.1.2.2 A formal analysis of sufficiency in fsQCA; 3.2 Necessary conditions; 3.2.1 Crisp sets; 3.2.1.1 Basic logic of necessity; 3.2.1.2 A formal analysis of necessity in csQCA; 3.2.2 Fuzzy sets
 3.2.2.1 Basic logic of necessity3.2.2.2 A formal analysis of necessity in fsQCA; 3.3 Causal complexity in settheoretic methods; 3.3.1 Defining causal complexity; 3.3.2 INUS and SUIN conditions; 3.3.3 The notion of asymmetry; 3.3.4 Settheoretic methods and standard quantitative approaches; 3.3.4.1 Set relations are not correlations; 3.3.4.2 Set theory and regression models; 4 Truth tables; 4.1 What is a truth table?; 4.2 How to get from a data matrix to a truth table; 4.2.1 Crisp sets; 4.2.2 Fuzzy sets; 4.3 Analyzing truth tables; 4.3.1 Matching similar conjunctions
 4.3.2 Logically redundant prime implicants4.3.3 Issues related to the analysis of the nonoccurrence of the outcome; Part II Neat formal logic meets noisy social science data; 5 Parameters of fit; 5.1 Defining and dealing with contradictory truth table rows; 5.2 Consistency of sufficient conditions; 5.3 Coverage of sufficient conditions; 5.4 Consistency of necessary conditions; 5.6 Issues related to consistency and coverage; 6 Limited diversity and logical remainders; 6.1 Limited diversity in settheoretic methods: how to see it when it is there; 6.2 Sources of limited diversity
 Isbn
 9781139564267
 Label
 Settheoretic methods for the social sciences : a guide to qualitative comparative analysis
 Title
 Settheoretic methods for the social sciences
 Title remainder
 a guide to qualitative comparative analysis
 Statement of responsibility
 Carsten Q. Schneider and Claudius Wagemann
 Subject

 POLITICAL SCIENCE  General
 Qualitative Methode
 Qualitative Sozialforschung
 SOCIAL SCIENCE  Methodology
 SOCIAL SCIENCE  Research
 Set theory
 Set theory
 Social sciences  Comparative method
 Social sciences  Comparative method
 Social sciences  Mathematical models
 Social sciences  Mathematical models
 Sociale wetenschappen
 Vergelijkend onderzoek
 Vergleichende Forschung
 FuzzyMenge
 Kwalitatieve methoden
 Methodologie
 Language

 eng
 ger
 eng
 Summary
 A 'user's guide' to Qualitative Comparative Analysis (QCA) and the methodological family of settheoretic methods in social science
 Cataloging source
 MHW
 http://library.link/vocab/creatorDate
 1972
 http://library.link/vocab/creatorName
 Schneider, Carsten Q.
 Dewey number
 300.72
 Index
 index present
 Language note
 English
 LC call number
 H61 .S379 2012
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName
 Wagemann, Claudius
 Series statement
 Strategies for social inquiry
 http://library.link/vocab/subjectName

 Social sciences
 Social sciences
 Set theory
 POLITICAL SCIENCE
 SOCIAL SCIENCE
 SOCIAL SCIENCE
 Set theory
 Social sciences
 Social sciences
 Kwalitatieve methoden
 Vergelijkend onderzoek
 Sociale wetenschappen
 Qualitative Sozialforschung
 Qualitative Methode
 Vergleichende Forschung
 Methodologie
 FuzzyMenge
 Label
 Settheoretic methods for the social sciences : a guide to qualitative comparative analysis, Carsten Q. Schneider and Claudius Wagemann
 Bibliography note
 Includes bibliographical references (pages 336345) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Cover; SetTheoretic Methods for the Social Sciences; Title; Copyright; Dedication; Contents; Figures; Tables; Acknowledgements; Introduction; Settheoretic approaches in the social sciences; Qualitative Comparative Analysis as a settheoretic approach and technique; Variants of QCA; Plan of the book; How to use this book; Part I Settheoretic methods: the basics; 1 Sets, set membership, and calibration; 1.1 The notion of sets; 1.1.1 Sets and concepts; 1.1.2 The pros and cons of crisp sets; 1.1.3 Properties of fuzzy sets; 1.1.4 What fuzzy sets are not
 1.2 The calibration of set membership1.2.1 Principles of calibration; 1.2.2 The use of quantitative scales for calibration; 1.2.3 The "direct" and "indirect" methods of calibration; 1.2.4 Does the choice of calibration strategy matter much?; 1.2.5 Assessing calibration; 2 Notions and operations in set theory; 2.1 Conjunctions, Boolean and fuzzy multiplication, intersection, logical AND; 2.2 Disjunctions, Boolean and fuzzy addition, union, logical OR; 2.3 Negations, complements, logical NOT; 2.4 Operations on complex expressions; 2.4.1 Rules for combining logical operators
 2.4.2 Negation, intersection, and union of complex sets2.4.3 Calculating membership in complex sets; 2.5 Relations between sets; 2.6 Notational systems in settheoretic methods; 3 Set relations; 3.1 Sufficient conditions; 3.1.1 Crisp sets; 3.1.1.1 Basic logic of sufficiency; 3.1.1.2 A formal analysis of sufficiency in csQCA; 3.1.2 Fuzzy sets; 3.1.2.1 Basic logic of sufficiency; 3.1.2.2 A formal analysis of sufficiency in fsQCA; 3.2 Necessary conditions; 3.2.1 Crisp sets; 3.2.1.1 Basic logic of necessity; 3.2.1.2 A formal analysis of necessity in csQCA; 3.2.2 Fuzzy sets
 3.2.2.1 Basic logic of necessity3.2.2.2 A formal analysis of necessity in fsQCA; 3.3 Causal complexity in settheoretic methods; 3.3.1 Defining causal complexity; 3.3.2 INUS and SUIN conditions; 3.3.3 The notion of asymmetry; 3.3.4 Settheoretic methods and standard quantitative approaches; 3.3.4.1 Set relations are not correlations; 3.3.4.2 Set theory and regression models; 4 Truth tables; 4.1 What is a truth table?; 4.2 How to get from a data matrix to a truth table; 4.2.1 Crisp sets; 4.2.2 Fuzzy sets; 4.3 Analyzing truth tables; 4.3.1 Matching similar conjunctions
 4.3.2 Logically redundant prime implicants4.3.3 Issues related to the analysis of the nonoccurrence of the outcome; Part II Neat formal logic meets noisy social science data; 5 Parameters of fit; 5.1 Defining and dealing with contradictory truth table rows; 5.2 Consistency of sufficient conditions; 5.3 Coverage of sufficient conditions; 5.4 Consistency of necessary conditions; 5.6 Issues related to consistency and coverage; 6 Limited diversity and logical remainders; 6.1 Limited diversity in settheoretic methods: how to see it when it is there; 6.2 Sources of limited diversity
 Control code
 811502326
 Dimensions
 unknown
 Extent
 1 online resource (xviii, 350 pages)
 Form of item
 online
 Isbn
 9781139564267
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 9786613923288
 http://library.link/vocab/ext/overdrive/overdriveId
 392328
 Specific material designation
 remote
 System control number
 (OCoLC)811502326
 Label
 Settheoretic methods for the social sciences : a guide to qualitative comparative analysis, Carsten Q. Schneider and Claudius Wagemann
 Bibliography note
 Includes bibliographical references (pages 336345) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Cover; SetTheoretic Methods for the Social Sciences; Title; Copyright; Dedication; Contents; Figures; Tables; Acknowledgements; Introduction; Settheoretic approaches in the social sciences; Qualitative Comparative Analysis as a settheoretic approach and technique; Variants of QCA; Plan of the book; How to use this book; Part I Settheoretic methods: the basics; 1 Sets, set membership, and calibration; 1.1 The notion of sets; 1.1.1 Sets and concepts; 1.1.2 The pros and cons of crisp sets; 1.1.3 Properties of fuzzy sets; 1.1.4 What fuzzy sets are not
 1.2 The calibration of set membership1.2.1 Principles of calibration; 1.2.2 The use of quantitative scales for calibration; 1.2.3 The "direct" and "indirect" methods of calibration; 1.2.4 Does the choice of calibration strategy matter much?; 1.2.5 Assessing calibration; 2 Notions and operations in set theory; 2.1 Conjunctions, Boolean and fuzzy multiplication, intersection, logical AND; 2.2 Disjunctions, Boolean and fuzzy addition, union, logical OR; 2.3 Negations, complements, logical NOT; 2.4 Operations on complex expressions; 2.4.1 Rules for combining logical operators
 2.4.2 Negation, intersection, and union of complex sets2.4.3 Calculating membership in complex sets; 2.5 Relations between sets; 2.6 Notational systems in settheoretic methods; 3 Set relations; 3.1 Sufficient conditions; 3.1.1 Crisp sets; 3.1.1.1 Basic logic of sufficiency; 3.1.1.2 A formal analysis of sufficiency in csQCA; 3.1.2 Fuzzy sets; 3.1.2.1 Basic logic of sufficiency; 3.1.2.2 A formal analysis of sufficiency in fsQCA; 3.2 Necessary conditions; 3.2.1 Crisp sets; 3.2.1.1 Basic logic of necessity; 3.2.1.2 A formal analysis of necessity in csQCA; 3.2.2 Fuzzy sets
 3.2.2.1 Basic logic of necessity3.2.2.2 A formal analysis of necessity in fsQCA; 3.3 Causal complexity in settheoretic methods; 3.3.1 Defining causal complexity; 3.3.2 INUS and SUIN conditions; 3.3.3 The notion of asymmetry; 3.3.4 Settheoretic methods and standard quantitative approaches; 3.3.4.1 Set relations are not correlations; 3.3.4.2 Set theory and regression models; 4 Truth tables; 4.1 What is a truth table?; 4.2 How to get from a data matrix to a truth table; 4.2.1 Crisp sets; 4.2.2 Fuzzy sets; 4.3 Analyzing truth tables; 4.3.1 Matching similar conjunctions
 4.3.2 Logically redundant prime implicants4.3.3 Issues related to the analysis of the nonoccurrence of the outcome; Part II Neat formal logic meets noisy social science data; 5 Parameters of fit; 5.1 Defining and dealing with contradictory truth table rows; 5.2 Consistency of sufficient conditions; 5.3 Coverage of sufficient conditions; 5.4 Consistency of necessary conditions; 5.6 Issues related to consistency and coverage; 6 Limited diversity and logical remainders; 6.1 Limited diversity in settheoretic methods: how to see it when it is there; 6.2 Sources of limited diversity
 Control code
 811502326
 Dimensions
 unknown
 Extent
 1 online resource (xviii, 350 pages)
 Form of item
 online
 Isbn
 9781139564267
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 9786613923288
 http://library.link/vocab/ext/overdrive/overdriveId
 392328
 Specific material designation
 remote
 System control number
 (OCoLC)811502326
Subject
 POLITICAL SCIENCE  General
 Qualitative Methode
 Qualitative Sozialforschung
 SOCIAL SCIENCE  Methodology
 SOCIAL SCIENCE  Research
 Set theory
 Set theory
 Social sciences  Comparative method
 Social sciences  Comparative method
 Social sciences  Mathematical models
 Social sciences  Mathematical models
 Sociale wetenschappen
 Vergelijkend onderzoek
 Vergleichende Forschung
 FuzzyMenge
 Kwalitatieve methoden
 Methodologie
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