sim_unimodal: Simulate test scores.

In SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating

Simulate test scores.

Description

Simulate test scores from a negative-hypergeometric (beta-binomial) distribution, according to Keats & Lord (1962).

Usage

sim_unimodal(n, x_mean, x_var, N_item, seed = NULL, name = NULL)

Arguments

n	Size of the resulting sample.
x_mean	Mean of the target distribution.
x_var	Variance of the target distribution.
N_item	Number of items in the test.
seed	Optional. Seed for the random number generator.
name	Optional. Generate X and Y scores from the data according 5 of the proposed distributions in Keats & Lord (1967). Overrides any other previous parameter input set.

Details

Simulate test scores from a negative-hypergeometric (beta-binomial) distribution, according to Keats & Lord (1962).

Value

Simulated values.

Author(s)

Daniel Leon Acuna, [e-mail]

References

Keats, J. A., & Lord, F. M. (1962). A theoretical distribution for mental test scores. Psychometrika, 27(1), 59-72.

Examples

sim_unimodal(2354, 27.06, 8.19^2, 40)  # GANA
sim_unimodal(name="TQS8")

SNSequate documentation built on Dec. 28, 2022, 1:35 a.m.