mokken-package            package:mokken            R Documentation

_M_o_k_k_e_n _S_c_a_l_e _A_n_a_l_y_s_i_s _i_n _R

_D_e_s_c_r_i_p_t_i_o_n:

     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.

_D_e_t_a_i_l_s:


       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).

_A_u_t_h_o_r(_s):

     L. Andries van der Ark Maintainer: L. Andries van der Ark
     <a.vdark@uvt.nl>

_R_e_f_e_r_e_n_c_e_s:

     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_. <URL: http://www.jstatsoft.org>

_S_e_e _A_l_s_o:

_E_x_a_m_p_l_e_s:

     # 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)

