vanilla

0th

Percentile

Vanilla Scaling by Gabel & Huber

Computes scores based on the Vanilla method suggested by Gabel & Huber. A factor analysis identifies the dominant dimension in the data. Factor scores using the regression method are then considered as party positions on this dominant dimension.

Usage
vanilla(data, vars = grep("per\\d{3}$", names(data), value = TRUE),
  invert = FALSE)
Arguments
data

A data.frame with cases to be scaled, variables named "per..."

vars

variable names that should be used for the scaling (usually the variables per101,per102,...)

invert

invert scores (to change the direction of the dimension to facilitate comparison with other indices) (default is FALSE)

References

Gabel, M. J., & Huber, J. D. (2000). Putting Parties in Their Place: Inferring Party Left-Right Ideological Positions from Party Manifestos Data. American Journal of Political Science, 44(1), 94-103.

Aliases
  • vanilla
Documentation reproduced from package manifestoR, version 1.2.4, License: GPL (>= 3)

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