SimulateData {TestGardener}

Simulate Choice Data from a Previous Analysis

Description

Simulation of data using a previous analysis requires only an ICC vector and two objects computed by function theta.distn along with a specification of the number of simulated the simulated persons.

Usage

SimulateData(nsim, indfine, denscdf, SfdList)

Arguments

nsim

Number of persons having simulated choices.

indfine

The score index values within [0,100] that are associated with the cumulative probability values in denscdf.

denscdf

The cumulative probability values within [0,1]. The values have to be discrete, begin with 0 and end with 1.

SfdList

List vector of length n of list vectors for item objects.

Details

Arguments indfine and denscdf can be obtained from the original analysis, but also can be specified to describe a different distribution of score index values.

Value

An nsim by n matrix of integers including 1 and 2 that specify each person's option choice for each item.

Author(s)

Juan Li and James Ramsay

References

Ramsay, J. O., Li J. and Wiberg, M. (2020) Full information optimal scoring. Journal of Educational and Behavioral Statistics, 45, 297-315.

Ramsay, J. O., Li J. and Wiberg, M. (2020) Better rating scale scores with information-based psychometrics. Psych, 2, 347-360.

See Also

dataSimulation, chcemat_simulate

Examples

# example code to be set up