model.fake.par: Internal function.

In sgr: Sample Generation by Replacement

Internal function.

Description

Set different instances of the conditional replacement distribution.

Usage

model.fake.par(fake.model = c("uninformative", "average", "slight", "extreme"))

Arguments

fake.model

A character string indicating the model for the conditional replacement distribution. The options are: uninformative (default option) [gam = c(1,1) and del = c(1,1)]; average [gam = c(3,3) and del = c(3,3)]; slight [gam = c(1.5,4) and del = c(4,1.5)]; extreme [gam = c(4,1.5) and del = c(1.5,4)].

Value

Gives a list with γ and δ parameters.

Author(s)

Massimiliano Pastore

References

Lombardi, L., Pastore, M. (2014). sgr: A Package for Simulating Conditional Fake Ordinal Data. The R Journal, 6, 164-177.

Pastore, M., Lombardi, L. (2014). The impact of faking on Cronbach's Alpha for dichotomous and ordered rating scores. Quality & Quantity, 48, 1191-1211.

Examples

model.fake.par() # default
model.fake.par("average")

sgr documentation built on April 14, 2022, 5:08 p.m.