# University recognition of a graduate student union

## Usage

    data(RS)

## Description

Original data used by Caren and Panofsky (2005), and reanalysed by Ragin and Strand (2008).

## Format

A data frame containing 17 cases and the following 6 columns:

`P`
Public university
`E`
Support of elite allies
`A`
National union affiliation
`S`
Strike or a strike threat
`EBA`
E happens before A
`REC`
Union recognition

## Details

The causal conditions are `P`, `E`, `A` and `S`. All of them are binary crisp with two values: `0 = No` and `1 = Yes`.

The column `EBA` is not a causal condition, specifying in which case the causal condition `E` happens before the causal condition `A`. It has two values (`0 = No` and `1 = Yes`) plus the placeholder `"-"` to signal a “don't care”.

The outcome is the union recognition `EBA`, also binary crisp with two values: `0 = No` and `1 = Yes`.

## Source

Caren, N; Panofsky, A. (2005) “TQCA: A Technique for Adding Temporality to Qualitative Comparative Analysis.” Sociological Methods & Research vol. 34, no.2, pp.147-172.

Ragin, C.C.; Strand, S.I. (2008) “Using Qualitative Comparative Analysis to Study Causal Order: Comment on Caren and Panofsky (2005).” Sociological Methods & Research vol.36, no.4, pp.431-441.