mokken-package {mokken} | R Documentation |
Mokken scale analysis is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item response theory models: the monotone homogeneity model and the double monotonicity model.
Package: | mokken |
Type: | Package |
Version: | 1.0 |
Date: | 2006-09-29 |
License: | GPL Version 2 or later |
The package contains principal functions for Mokken scale analysis. The package is introduced in Van der Ark (2007).
L. Andries van der Ark Maintainer: L. Andries van der Ark <a.vdark@uvt.nl>
Mokken, R. J. (1971) A Theory and Procedure of Scale Analysis. Berlin, Germany: De Gruyter.
Molenaar, I.W. and Sijtsma, K. (2000) User's Manual MSP5 for Windows [Software manual]. Groningen, The Netherlands: IEC ProGAMMA.
Sijtsma, K, and Molenaar, I. W. (2002) Introduction to nonparametric item response theory. Thousand Oaks, CA: Sage.
Van der Ark, L. A. (2007). Mokken scale analysis in R. Journal of Statistical Software. http://www.jstatsoft.org
# Personality test data(acl) # Select the items of the scale Communality acl.com <- acl[,1:10] # Compute scalability coefficients coefH(acl.com) # Investigate the assumption of monotonicity monotonicity.com <- check.monotonicity(acl.com) summary(monotonicity.com) plot(monotonicity.com) # Investigate the assumption of non-intersecting using method restscore restscore.com <- check.restscore(acl.com) summary(restscore.com) plot(restscore.com) # Investigate the assumption of non-intersecting using method pmatrix pmatrix.com <- check.pmatrix(acl.com) summary(pmatrix.com) plot(pmatrix.com) # Partition the entire data set into mokken scales search.normal(acl.com)