Lipset (1959), crisp-set

Description

The LipsetCS data frame has 18 rows and 6 variables

Usage

data(LipsetCS)

Format

A data frame with 18 observations on the following 6 variables.

DEVELOPED

a numeric vector. Condition, economically developed country.

URBAN

a numeric vector. Condition, urbanized countries.

LITERATE

a numeric vector. Condition, countries with high literacy rate.

INDUSTRIAL

a numeric vector. Condition, Industrialized countries.

GOVSTAB

a numeric vector. Condition, politically stable countries.

SURVIVED

a numeric vector. Outcome, survival of democracy during the inter-war period.

Details

Data used by Ragin (2009) to illustrates the variants of QCA. Originally by Lipset (1959). Data are crisp-sets.

References

Lipset, S. M. (1959) "Some Social Requisites of Democracy: Economic Development and Political Legitimacy", American Political Science Review 53, pp. 69-105.

Ragin, C. C. (2009) "Qualitative Comparative Analysis. Using Fuzzy Sets (fsQCA)." In Rihoux, B., and Ragin, C. C. (eds.) Configurational Comparative Methods. Qualitative Comparative Analysis (QCA) and Related Techniques. Thousand Oaks, CA and London: Sage, pp. 87-121.

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(LipsetCS)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(SetMethods)
Loading required package: lattice
Loading required package: betareg
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SetMethods/LipsetCS.Rd_%03d_medium.png", width=480, height=480)
> ### Name: LipsetCS
> ### Title: Lipset (1959), crisp-set
> ### Aliases: LipsetCS
> ### Keywords: datasets
> 
> ### ** Examples
> data(LipsetCS)
> 
> 
> 
> 
> dev.off()
null device 
          1 
>