| KernSmoothIRT-package {KernSmoothIRT} | R Documentation |
KernSmoothIRT Package
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 <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.
Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis