KernSmoothIRT-package: KernSmoothIRT Package

In KernSmoothIRT: Nonparametric Item Response Theory

Description

Graphical analysis of multiple choice test and questionnaire data within a nonparametric approach. Fits item and option 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 <[e-mail]>

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.

Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis

KernSmoothIRT documentation built on March 26, 2020, 7:42 p.m.