BCMV {SetMethods}

Berg-Schlosser and Cronqvist (2005)

Description

The BCMV data frame has 18 rows and 5 variables

Usage

data(BCMV)

Format

A data frame with 18 observations on the following 5 variables.

GNP

a numeric vector. Condition, Gross National Product/Capita (ca. 1930). 0 if below 500$, 1 if between 550 and 850$, 2 above 850$.

URB

a numeric vector. Condition, urbanization (population in towns with 20000 and more inhabitants); 0 if below 50 per cent; 1 if above.

LIT

a numeric vector. Condition, literacy: 0 if below 75 per cent; 1 if above.

INDUS

a numeric vector. Condition, Industrial Labour Force (incl. mining); 0 if below 30 per cent of active population; 1 if above.

DEMOC

a numeric vector. Condition, stability of a democracy: 0 if not stable; 1 if stable.

Details

The data are used by Berg-Schlosser and Cronqvist (2005) to demostrate mvQCA. The original data are from Lipset (1963). Data are multi-value.

References

Berg-Schlosser, D. and Cronqvist, L. (2005) "Macro-Quantitative vs. Macro-Qualitative Methods in the Social Sciences - An Example from Empirical Democratic Theory", Historical Social Research 30, pp. 154-175.

Lipset, Seymour M. (1963) Political Man. The Social Bases of Politics. Doubleday: New York.

Schneider, C. Q., Wagemann, C. (2012) Set-Theoretic Methods for the Social Sciences, Cambridge University Press: Cambridge.

Schneider, C. Q., Wagemann, C., Quaranta, M. (2012) How To... Use Software for Set-Theoretic Analysis. Online Appendix to "Set-Theoretic Methods for the Social Sciences". Available at www.cambridge.org/schneider-wagemann

Examples

data(BCMV)