check.monotonicity {mokken} | R Documentation |
Returns a list (of class monotonicity.class) with results from the investigation of monotonicity.
check.monotonicity(X, minvi = 0.03, minsize = default.minsize)
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 |
minsize |
minimum size of a rest score group. By default
minsize = N/10 if N >=q 500;
minsize = N/5 if 250 <=q N < 500; and
minsize = max(N/3,50) if N < 250 |
The output is of class monotonicity.class, and is often numerous.
Functions plot
and summary
can be used to summarize the output.
See Van der Ark (2007) for an example.
results |
A list with as many components as there are items. Each component itself is also a list containing the results of the check of monotonicity. |
I.labels |
The item labels |
Hi |
The item scalability coefficients Hi |
m |
The number of answer categories. |
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.restscore
, check.pmatrix
, check.reliability
,
plot.monotonicity.class
, summary.monotonicity.class
data(acl) Communality <- acl[,1:10] monotonicity.list <- check.monotonicity(Communality) plot(monotonicity.list) summary(monotonicity.list)