Stokke

The Stokke data frame has 9 rows and 6 columns.The purpose of introducing mechanisms in regime research, is partly to allow detailed 
examination of the various ways in which regimes may affect behaviour: this could be
coined a magnifying purpose. The second objective is the methodological one of
facilitating systematic comparison of cases by constituting them in ways that make them
sufficiently homogeneous to permit employment of available comparative techniques.
The cases presented in this data stress on ''shaming'' as a causal mechanism for 
international resource management. Shaming highlights attempts to bring about a change
in problem-related behaviour not by material rewards or punishment but by exposing 
certain practices to third parties whose opinion matters to the target of shaming

datasets

Performs the Quine-McCluskey algorithm for Qualitative
        Comparative Analysis, for both crisp versions: bvQCA
        (binary-value QCA) and for mvQCA (multi-value QCA). In the
        classical approach it currently handles about 15 conditions and
        one outcome for binary data only, but since version 0.4-5 the
        package has an enhanced, faster function that obtains the same
        exact solutions with a substantially lower memory consumption,
        it handles even more causal conditions; the enhanced function
        eqmcc() can also be used for mvQCA. The next versions of this
        algorithm will be oriented towards fuzzy-set functions. Also,
        in the near future the current functions will deal with missing
        values in the data

Adrian Dusa

Qualitative Comparative Analysis

Stokke function

The dataset contains the following columns:
<tabular>lcl</tabular>{
A 	- 	Advice C 	- 	Commitment S 	- 	Shadow of the future I 	- 	Inconvenience R 	- 	Reverberation Y 	- 	Success (outcome variable)
}

Stokke: Causal mechanisms and regime effectiveness

Description

Usage

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source

References