HIVChange: data about HIV prevalence in Sub-Saharan Africa

In QCA3: Yet another package for Qualitative Comparative Analysis

Description

Data set from Cronqvist and Berg-Schlosser(2006), examining the HIV prevalence in Sub-Saharan Africa.

Usage

data(HIVChange)

Format

A data frame with 12 observations on the following 7 variables.

LIT00

Dichotomized literacy rate of 2000. 1 if above 50%.

GENDEREQ

Dichotomized gender equality index. 1 is above 40 index point.

MORTALITY

Trichotomized cummulated HIV morality rate up to 1997, with thresholds of 2% and 4%.

AGRARGDP

Dichotomized variable of share of agarian production of GDP. 1 is above 25%.

HIVChange

The outcome. "1" if the prevalence rate increases. Otherwise it is "0". "C" is indicates contraditory configurations.

Country

Names of cases

NCase

Number of cases

Details

LIT00 measures socio-economic factors. GENDEREQ measures the situation of women. MORTALITY measures the awareness of HIV threat. AGRARGDP measures the impact of migration.

References

Cronqvist. L. and Berg-Schlosser, D. 2006. Determining The Conditions Of Hiv/Aids Prevalence In Sub-Saharan Africa: Employing New Tools Of Macro-Qualitative Analysis. In Innovative Comparative Methods For Policy Analysis: Beyond The Quantitative-Qualitative Divide. Benoit Rihoux and Heike Grimm (Eds).Springer.

Examples

 ## manually construct a truthTable for mvQCA
 conditions <- c("LIT00", "GENDEREQ", "MORTALITY", "AGRARGDP")
 HIVChange$OUT <- HIVChange$HIVChange
 HTT <- HIVChange[,c(conditions,"OUT","NCase","Country")]
 names(HTT) <- c(conditions,"OUT","NCase","Cases")
 ## optional
 mvTT <- list(truthTable=HTT,nlevels=c(2,2,3,2),conditions=conditions)
 ## only some components are rquired
 class(mvTT) <- "truthTable"

 ## Example in p161: not exactly the same solution.
 ##    This one is correct too (tell me if you don't think so)
 reduce(mvTT,expl="pos",remainder="include",contr="negative")
 reduce(mvTT,expl="neg",remainder="include",contr="positive")

 ## Example in p163
 reduce(mvTT,expl="pos",remainder="include",contr="negative")
 reduce(mvTT,expl="neg",remainder="include",contr="negative")
 ## C.A.R is positive, all other three are nagetive

QCA3 documentation built on May 2, 2019, 4:49 p.m.