plot.iio.class | R Documentation |
S3 Method to plot
objects of class iio.class.
Graphic display of the checks of iio.
One graph for each item plotting the estimated item response functions.
## S3 method for class 'iio.class'
plot(x, item.pairs = all.pairs, ci = TRUE, alpha = .05,
color = c("black", "blue"), transparancy = 20, ask = TRUE, ...)
x |
Object of class iio.class produced by |
item.pairs |
vector containing the numbers of the item pairs for which the results are depicted graphically.
For example, |
ci |
Boolean. If |
alpha |
Type of plotted (1 - alpha) confidence intervals. By default 95-percent confidence intervals are depicted |
color |
Color of the plotted curves and confidence envelops. Defaults are black for the first item and blue for the second item. |
transparancy |
Transparancy of the confidence intervals. Higher values result in more opaque colors for the confidence intervals. |
ask |
Boolean. If |
... |
Optional graphical parameters will be ignored |
The plot function corresponds to method MIIO; each graph plots the estimated item response functions (item rest-score functions) for two items.
For details of the method, see Ligtvoet et al. (2010, 2011); Sijtsma et al. (2012).
For details of the confidence envelopes, see Van der Ark (2012b).
For the implementation in R, see Van der Ark (2012a).
For ask==FALSE
, the default graphic device in R may only display the last graph.
Returns a graph.
L. A. van der Ark L.A.vanderArk@uva.nl
Koopman, L., Zijlstra, B. J. H., & Van der Ark, L. A. (2023a). Assumptions and Properties of Two-Level Nonparametric Item Response Theory Models. Manuscript submitted for publication.
Koopman, L., Zijlstra, B. J. H., & Van der Ark, L. A. (2023b). Evaluating Model Fit in Two-Level Mokken Scale Analysis. Manuscript submitted for publication.
Ligtvoet, R., L. A. van der Ark, J. M. te Marvelde, & K. Sijtsma (2010). Investigating an invariant item ordering for polytomously scored items. Educational and Psychological Measurement, 70, 578-595. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0013164409355697")}
Ligtvoet, R., L. A. van der Ark, W. P. Bergsma, & K. Sijtsma (2011). Polytomous latent scales for the investigation of the ordering of items. Psychometrika, 76, 200-216. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s11336-010-9199-8")}
Sijtsma, K., R. R. Meijer, & Van der Ark, L. A. (2011). Mokken scale analysis as time goes by: An update for scaling practitioners. Personality and Individual Differences, 50, 31-37. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.paid.2010.08.016")}
Van der Ark, L. A. (2012). New developjements in Mokken scale analysis in R. Journal of Statistical Software, 48 (5), 1-27. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v048.i05")}
Van der Ark, L. A. (2014). Visualizing uncertainty of estimated response functions in nonparametric item response theory. In R. E. Millsap, L. A. van der Ark, D. Bolt, & C. M. Woods (Eds.), New developments in quantitative psychology (pp. 59-68). New York: Springer. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-1-4614-9348-8_5")}
check.iio
, summary.iio.class
data(acl)
Communality <- acl[,1:10]
iio.list <- check.iio(Communality)
summary(iio.list)
plot(iio.list)
# Compute two-level fit statistics (Koopman et al., 2023a, 2023b)
data("autonomySupport")
dat <- autonomySupport[, -1]
groups <- autonomySupport[, 1]
autonomyMIIO <- check.iio(dat, item.selection = FALSE, level.two.var = groups)
summary(autonomyMIIO)
plot(autonomyMIIO)
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