check.pmatrix {mokken} | R Documentation |
computes the P(++) and P(- -) matrix and auxiliary information
check.pmatrix(X, minvi = 0.03)
X |
matrix or data frame of numeric data
containing the responses of nrow(X) respondents to ncol(X) items.
Missing values are not allowed |
minvi |
minimum size of a violation that is reported |
The output is often numerous.
Functions plot
and summary
can be used to summarize the output.
See Van der Ark (2007) for an example.
Ppp |
P(++) matrix |
Pmm |
P(–) matrix |
I.item |
vector indicating to which items the rows and column the P(++) matrix belong |
I.step |
the labels of the item steps in order of popularity |
I.labels |
the item labels |
Hi |
the item scalability coefficients Hi |
minvi |
the value of minvi |
L. A. 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
coefH
, check.iio
, check.monotonicity
, check.restscore
, check.reliability
,
plot.pmatrix.class
, summary.pmatrix.class
data(acl) Communality <- acl[,1:10] pmatrix.list <- check.pmatrix(Communality) plot(pmatrix.list) summary(pmatrix.list)