data(LR)
data(LC)
data(LM)
data(LF)
DEV |
Level of development |
URB |
Level of urbanization |
LIT |
Level of literacy |
IND |
Level of industrialization |
STB |
Government stability |
SURV |
Survival of democracy during the inter-war period. |
LR |
contains the raw data |
LC |
is the same data calibrated to binary crisp sets |
LM |
is calibrated to multi-value sets |
LF |
is calibrated to fuzzy-sets |
The causal conditions are:
DEV
referring to the level of development: in the raw data is
the GDP per capita (USD), calibrated in the binary crisp version to 0 if
below 550 USD and 1 otherwise. For the multi-value crisp version, two thresholds
were used: 550 and 850 USD.
URB
is the percent of the population in towns with 20,000 or more
inhabitants, calibrated in the crisp versions to 0 if below 50% and 1 if above.
LIT
is the percent of the literate population, calibrated
in the crisp versions to 0 if below 75% and 1 if above.
IND
is the percent of the industrial labor force, calibrated
in the crisp versions to 0 if below 30% and 1 if above.
STB
is a political-institutional condition added to the
previous four socioeconomic ones. The raw data has the number of cabinets
which governed in the period under study, calibrated in the crisp versions to 0 if
10 or above and 1 if below 10.
The outcome is the column SURV
, calibrated to 0 if negative, and 1 if
positive raw data.
Cronqvist, L.; Berg-Schlosser, D. (2009) Multi-Value QCA (mvQCA), in Rihoux, B.; Ragin, C. (eds.) Configurational Comparative Methods. Qualitative Comparative Analysis (QCA) and Related Techniques, SAGE.
Rihoux, B.; De Meur, G. (2009) Crisp Sets Qualitative Comparative Analysis (mvQCA), in Rihoux, B.; Ragin, C. (eds.) Configurational Comparative Methods. Qualitative Comparative Analysis (QCA) and Related Techniques, SAGE.
Ragin, C. (2009) Qualitative Comparative Analysis Using Fuzzy-Sets (fsQCA), in Rihoux, B.; Ragin, C. (eds.) Configurational Comparative Methods. Qualitative Comparative Analysis (QCA) and Related Techniques, SAGE.