datsim: Simulate Data for a Single Response Style

In cds: Constrained Dual Scaling for Detecting Response Styles

Description

Simulate data containing a single repsponse style.

Usage

datsim(nr.indv = 100, m = 5, scales = 1:7, err.coeff = 0.1,
  resp.style = c(-Inf, 1/7, 2/7, 3/7, 4/7, 5/7, 6/7, Inf), true.mu = NULL,
  a = 0, b = 1, plot.graph = FALSE, use.copula = FALSE,
  reverse.thresh = 1, ...)

Arguments

nr.indv	Integer giving the number of individuals required in the sample.
m	The number of items.
scales	The rating scale used for all items.
err.coeff	The standard error used in simulating the truncated normal distribution.
resp.style	A set of cut points across the interval [0, 1] defining the response style transformation.
true.mu	Optional vector of length m giving the true preferences for the items.
a	Lower boundary of the truncation interval for the simulated true preferences.
b	Upper boundary for the truncation interval for the simulated true preferences.
plot.graph	Logical indicating whether to visualize the response style in a plot.
use.copula	Logical indicating whether to simulate dependent items using a copula.
reverse.thresh	A proportion giving the proportion of item preferences which should be reversed to induce a negative association.
...	Additional arguments passed to plot.

Author(s)

Pieter C. Schoonees

References

Schoonees, P.C., Velden, M. van de & Groenen, P.J.F. (2013). Constrained Dual Scaling for Detecting Response Styles in Categorical Data. (EI report series EI 2013-10). Rotterdam: Econometric Institute.

cds documentation built on May 2, 2019, 5:54 a.m.