d.minaret

This dataset is from Baumgartner and Epple (2014), who analyze the determinants
of the outcome of the vote on the 2009 Swiss Minaret Initative.

datasets

Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is related to Qualitative Comparative Analysis (QCA), but contrary to the latter, it is custom-built for uncovering causal structures with multiple outcomes and it builds causal models from the bottom up by gradually combining single factors to complex dependency structures until the requested thresholds of model fit are met. The new functionalities provided by this package version include functions for evaluating and benchmarking the correctness of CNA's output, a function determining whether a solution is an INUS model, a function bringing non-INUS expressions into INUS form, and a function for identifying cyclic models. The package vignette has been updated accordingly.

Mathias Ambuehl

Causal Modeling with Coincidence Analysis

Michael Baumgartner

Ruedi Epple

Veli-Pekka Parkkinen

Alrik Thiem

d.minaret function

The data frame contains 26 rows (cases) and the following 6 columns featuring raw data:<table><tr><td>
[ , 1] </td>
<td> A </td>
<td> rate of old xenophobia </td>
</tr><tr><td>
[ , 2] </td>
<td> L </td>
<td> left party strength </td>
</tr><tr><td>
[ , 3] </td>
<td> S </td>
<td> share of native speakers of Serbian, Croatian, or Albanian</td>
</tr><tr><td>
[ , 4] </td>
<td> T </td>
<td> strength of traditional economic sector </td>
</tr><tr><td>
[ , 5] </td>
<td> X </td>
<td> rate of new xenophobia </td>
</tr></table>

d.minaret: Data on the voting outcome of the 2009 Swiss Minaret Initiative

Description

Usage

Arguments

Format

Contributors

[ , 1]	A	rate of old xenophobia
[ , 2]	L	left party strength
[ , 3]	S	share of native speakers of Serbian, Croatian, or Albanian
[ , 4]	T	strength of traditional economic sector
[ , 5]	X	rate of new xenophobia