Last data update: 2014.03.03

R: KernSmoothIRT Package
KernSmoothIRT-packageR Documentation

KernSmoothIRT Package

Description

This package is meant for the graphical analysis of multiple choice test and questionnaire data within a nonparametric approach. Basically, it performs the fitting of item and options characteristic curves using kernel smoothing techniques and provides a variety of exploratory plots.

Details

Package: KernSmoothIRT
Type: Package
Version: 1.0
Date: 2011-05-29
Requires: plotrix
License: GPL-2
LazyLoad: yes

The function ksIRT creates a ksIRT object using kernel smoothing. Plotting the ksIRT object creates a variety of exploratory plots, including: item characteristic curves, option characteristic curves, density plots, expected value plots, and a probability simplex plot for the top 3 highest probability options of each item.

Author(s)

Angelo Mazza, Antonio Punzo, Brian McGuire

Maintainer: Brian McGuire <mcguirebc@gmail.com>

References

Mazza A, Punzo A, McGuire B. (2014). KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory. Journal of Statistical Software, 58 6, 1-34. URL: http://www.jstatsoft.org/v58/i06/.

Ramsay, J.O. (2000). TestGraf: A program for the graphical analysis of multiple choice test and questionnaire data. http://www.psych.mcgill.ca/faculty/ramsay/ramsay.html.

Results