build_true_params_for_estimation: Build True Parameter Data Frame for Estimation Model...

In irtsim: Monte Carlo Simulation-Based Sample-Size Planning for Item Response Theory

Build True Parameter Data Frame for Estimation Model (Internal)

Description

Creates a data frame of true parameter values adjusted for the estimation model, accounting for misspecification. When generation and estimation models differ, some parameters may need to be filled with defaults (e.g., discrimination = 1 for Rasch when estimating 1PL from 2PL data) or dropped entirely (e.g., discrimination when estimating 1PL from 2PL).

Usage

build_true_params_for_estimation(design, estimation_model)

Arguments

design	An irt_design object specifying the generation model.
estimation_model	Character string: "1PL", "2PL", or "GRM".

Value

Data frame with columns: item, param, true_value, matching the schema of the estimation model.

irtsim documentation built on April 24, 2026, 1:07 a.m.