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also covers mvQCA i.e. multi-valued rather than just dichotomous

and fuzzy sets too. in fact there are many possibilities which lead off into large-N situations but are just a different kind of data mining (note on p.680)


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Extracted Annotations (Fri, 06 Jul 2012 21:18:16 GMT)

\n

established correlations between variables cannot be understood in a causal manner without
considering the singularity and wholeness of each case at hand (note on p.62)

\n

 

\n

governance = polity, politics and policy PLUS CONTEXT (note on p.62)

\n

 

\n

QCA first presented by Ragin in 1987, good for medium number of cases 5-50 between small-N and large-N studies (note on p.64)

\n

 

\n

realist notion of causality i.e. CMO context mechanism outcome (note on p.64)

\n

 

\n

it is not programs that work. it is reasons or resrouces they offer subjects (note on p.65)

\n

 

\n

realist synthesis assumes that the transmission of lessons occurs through theory-building, not through empirical generalisation

the result is not a \"best buy\" but an improved theory (note on p.65)

\n

 

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