LipsetFS: Lipset (1959), fuzzy-set
In jmedzihorsky/SetMethods: SetMethods: A Package Companion to "Set-Theoretic Methods for the Social Sciences".
Description
Usage
Format
Details
References
Examples
Description
The LipsetFS data frame has 18 rows and 6 variables
Usage
1
Format
A data frame with 18 observations on the following 6 variables.
Surviveda numeric vector. Outcome, survival of democracy during the inter-war period.
DEVELOPEDa numeric vector. Condition, economically developed countries.
URBANa numeric vector. Condition, urbanized countries.
LITERATEa numeric vector. Condition, countries with high literacy rate.
INDUSTRIALa numeric vector. Condition, industrialized countries.
STABLEa numeric vector. Condition, politically stable countries.
Details
Data used by Ragin (2009) to illustrates the variants of QCA. Originally by Lipset (1959). Data are fuzzy-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
1
jmedzihorsky/SetMethods documentation built on May 19, 2019, 1:53 p.m.
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Description Usage Format Details References Examples
Description
The LipsetFS data frame has 18 rows and 6 variables
Usage
1 |
Format
A data frame with 18 observations on the following 6 variables.
Surviveda numeric vector. Outcome, survival of democracy during the inter-war period.
DEVELOPEDa numeric vector. Condition, economically developed countries.
URBANa numeric vector. Condition, urbanized countries.
LITERATEa numeric vector. Condition, countries with high literacy rate.
INDUSTRIALa numeric vector. Condition, industrialized countries.
STABLEa numeric vector. Condition, politically stable countries.
Details
Data used by Ragin (2009) to illustrates the variants of QCA. Originally by Lipset (1959). Data are fuzzy-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
1 |
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