datsim {cds}

Simulate Data for a Single Response Style

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.