d.volatile

This dataset is from Wollebaek (2010), who analyzes the causes of disbandings of grassroots associations in Norway.

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.volatile function

The data frame contains 22 rows (cases) and the following 9 columns featuring Boolean factors taking values 1 and 0 only:<table><tr><td>
[ , 1] </td>
<td> PG </td>
<td> high population growth </td>
</tr><tr><td>
[ , 2] </td>
<td> RB </td>
<td> high rurbanization (i.e. people moving to previously sparsely populated areas that are</td>
</tr><tr><td></td>
<td></td>
<td> not adjacent to a larger city)</td>
</tr><tr><td>
[ , 3] </td>
<td> EL </td>
<td> high increase in education levels </td>
</tr><tr><td>
[ , 4] </td>
<td> SE </td>
<td> high degree of secularization </td>
</tr><tr><td>
[ , 5] </td>
<td> CS </td>
<td> existence of Christian strongholds </td>
</tr><tr><td>
[ , 6] </td>
<td> OD </td>
<td> high organizational density </td>
</tr><tr><td>
[ , 7] </td>
<td> PC </td>
<td> existence of polycephality (i.e. municipalities with multiple centers)</td>
</tr><tr><td>
[ , 8] </td>
<td> UP </td>
<td> urban proximity </td>
</tr></table>

Format

Data on the volatility of grassroots associations in Norway between 1980 and 2000 — d.volatile

Data on the volatility of grassroots associations in Norway between 1980 and 2000

d.volatile: Data on the volatility of grassroots associations in Norway between 1980 and 2000

Description

Usage

Arguments

Format

[ , 1]	PG	high population growth
[ , 2]	RB	high rurbanization (i.e. people moving to previously sparsely populated areas that are
		not adjacent to a larger city)
[ , 3]	EL	high increase in education levels
[ , 4]	SE	high degree of secularization
[ , 5]	CS	existence of Christian strongholds
[ , 6]	OD	high organizational density
[ , 7]	PC	existence of polycephality (i.e. municipalities with multiple centers)
[ , 8]	UP	urban proximity