check.restscore function

Check of Nonintersection Using Method Restscore

Returns a list (of class restscore.class) with results from the investigation of nonintersection using method restscore (Mokken, 1971; Molenaar & Sijtsma, 2000; Sijtsma & Molenaar, 2002).

check.restscore(X, minvi = 0.03, minsize = default.minsize)

Arguments

• 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 $N \ge 500$; minsize = $N/5 if$ $250 \le N < 500$; and minsize = max$(N/3,50)$ if $N < 250$

Details

The output is often numerous. Procedure may be slow for large data sets. Functions plot and summary can be used to summarize the output. See Van der Ark (2007) for an example.

Returns

• results: A list with as many components as there are item pairs. Each component itself is also a list containing the results of the check of nonintersection using method restscore.

• I.labels: The item labels

• Hi: The item scalability coefficients

• m: The number of answer categories.

References

Mokken, R. J. (1971) A Theory and Procedure of Scale Analysis. De Gruyter.

Molenaar, I.W., & Sijtsma, K. (2000) User's Manual MSP5 for Windows [Software manual]. IEC ProGAMMA.

Sijtsma, K., & Molenaar, I. W. (2002) Introduction to nonparametric item response theory. Sage.

Van der Ark, L. A. (2007). Mokken scale analysis in R. Journal of Statistical Software. tools:::Rd_expr_doi("10.18637/jss.v048.i05")

Author(s)

L. A. van der Ark L.A.vanderArk@uva.nl

See Also

check.errors, check.iio, check.monotonicity, check.pmatrix, check.reliability

coefH, plot.restscore.class, summary.restscore.class

Examples

data(acl)
Communality <- acl[,1:10]
restscore.list <- check.restscore(Communality)
plot(restscore.list)
summary(restscore.list)