2006
DOI: 10.1111/j.1475-6765.2006.00635.x
|View full text |Cite
|
Sign up to set email alerts
|

Reducing complexity in Qualitative Comparative Analysis (QCA): Remote and proximate factors and the consolidation of democracy

Abstract: Abstract.  Comparative methods based on set theoretic relationships such as ‘fuzzy set Qualitative Comparative Analysis’ (fs/QCA) represent a useful tool for dealing with complex causal hypotheses in terms of necessary and sufficient conditions under the constraint of a medium‐sized number of cases. However, real‐world research situations might make the application of fs/QCA difficult in two respects – namely, the complexity of the results and the phenomenon of limited diversity. We suggest a two‐step approach… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
175
0
5

Year Published

2010
2010
2022
2022

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 206 publications
(182 citation statements)
references
References 50 publications
2
175
0
5
Order By: Relevance
“…The most parsimonious solution of fsQCA is attained if the positive cases are set 'true' , the negative cases 'false' , and the remainders 'don't care' . I employ the most complex solution, as that is the most conservative approach (Schneider & Wagemann 2006), and report the result of the most parsimonious approach in a footnote.…”
Section: Broad Measure Of Unpopular Reformmentioning
confidence: 99%
“…The most parsimonious solution of fsQCA is attained if the positive cases are set 'true' , the negative cases 'false' , and the remainders 'don't care' . I employ the most complex solution, as that is the most conservative approach (Schneider & Wagemann 2006), and report the result of the most parsimonious approach in a footnote.…”
Section: Broad Measure Of Unpopular Reformmentioning
confidence: 99%
“…Our argument in the preceding paragraph is that through calibration of set membership and the application of set theory, QCA does some kind of measurement while maintaining case-sensitivity. We have also argued in the previous paragraphs that qualitative research (and especially, case studies based on single cases) suffers from little basis for causal generalization despite its richness in explanation (Mahoney, 2003;Ragin, 1997Ragin, , 2000Schneider & Wagemann, 2006). However through comparison of cases, cross-case evidence can be achieved hence, increasing the probability of generalizing the findings to other comparable cases and contexts.…”
Section: So What Does Qca Brings In To Mediate the Tensions?mentioning
confidence: 99%
“…Causal complexity therefore remains one of the major challenges facing comparative social scientists. The universe of cases from which one may choose to focus on is limited and at the same time, the hypotheses suggested at the theoretical level display a complex interplay of variables producing the outcome (the phenomenon) to be explained (Schneider & Wagemann, 2006 ).…”
Section: Qca and Causal Complexitymentioning
confidence: 99%
“…In crisp-set QCA (csQCA), used here, the conditions are binary being assessed as either absent (0) or present (1) for the specific case. The current analysis builds on the two-step fuzzy-set QCA (fsQCA) developed by Schneider and Wagemann (2006), but applies it as csQCA, that is, with binary coding (0=absence, 1=presence). In the truth tables and the results below, we use QCA formulas of Boolean algebra (where '+' means 'or' and '*' means 'and') as well as capital letters to denote the presence of a condition, and small letters indicate its absence.…”
Section: A Brief Introduction To a Two-step Qcamentioning
confidence: 99%
“…In the truth tables and the results below, we use QCA formulas of Boolean algebra (where '+' means 'or' and '*' means 'and') as well as capital letters to denote the presence of a condition, and small letters indicate its absence. Schneider and Wagemann (2006) differentiate between remote and proximate conditions, which are analyzed in two separate steps. The outcome variable, REDD+ progress, refers to the establishment of comprehensive policies targeting transformational change in the REDD+ policy domain.…”
Section: A Brief Introduction To a Two-step Qcamentioning
confidence: 99%