data_simple_1pl: A default data generation function that simulates normally...

In meow: Unified Framework for Computer Adaptive Testing Simulations

A default data generation function that simulates normally distributed respondent abilities and item difficulties

Description

data_simple_1pl() constructs data according to a simple one parameter logistic IRT model. The user may specify a number of persons, a number of items, and a random seed for reproducibility. Person abilities and item difficulties are both drawn from a standard normal.

Usage

data_simple_1pl(N_persons = 100, N_items = 50, data_seed = 242424)

Arguments

N_persons	Number of respondents to simulate
N_items	Number of items to simulate
data_seed	A random seed for generating reproducible data. This seed is re-initialized at the end of the data generation process

Value

A list with three components: A dataframe of item response named resp, a dataframe of true person parameters named pers_tru, and a dataframe of true item parameters named item_tru

Examples

data <- data_simple_1pl(N_persons = 10, N_items = 8)
str(data)

meow documentation built on July 6, 2026, 5:11 p.m.