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sirt (version 1.14-0)

lsem.permutationTest: Permutation Test for a Local Structural Equation Model

Description

Performs a permutation test for testing the hypothesis that model parameter are independent of a moderator variable (see Hildebrandt, Wilhelm, & Robitzsch, 2009).

Usage

lsem.permutationTest(lsem.object, B = 1000, residualize = TRUE, verbose = TRUE)


"summary"(object, file=NULL, digits=3, ...)


"plot"(x, type = "global", stattype = "SD",  parindex = NULL, sig_add = TRUE, sig_level = 0.05, sig_pch=17, nonsig_pch=2,  sig_cex = 1, sig_lab = "p value",  stat_lab = "Test statistic",  moderator_lab = NULL, digits = 3, title = NULL, parlabels = NULL,  ask = TRUE, ...)

Arguments

lsem.object
Fitted object of class lsem with lsem.estimate
B
Number of permutation samples
residualize
Optional logical indicating whether residualization of the moderator should be performed for each permutation sample.
verbose
Optional logical printing information about computation progress.
object
Object of class lsem
file
A file name in which the summary output will be written.
digits
Number of digits.
...
Further arguments to be passed.
x
Object of class lsem
type
Type of the statistic to be plotted. If type="global", a global test will be displayed. If type="pointwise" for each value at the focal point (defined in moderator.grid) are calculated.
stattype
Type of test statistics. Can be MAD (mean absolute deviation), SD (standard deviation) or lin_slo (linear slope).
parindex
Vector of indices of selected parameters.
sig_add
Logical indicating whether significance values (p values) should be displayed.
sig_level
Significance level.
sig_pch
Point symbol for significant values.
nonsig_pch
Point symbol for non-significant values.
sig_cex
Point size for graphic displaying p values
sig_lab
Label for significance value (p value).
stat_lab
Label of y axis for graphic with pointwise test statistic
moderator_lab
Label of the moderator.
title
Title of the plot. Can be a vector.
parlabels
Labels of the parameters. Can be a vector.
ask
A logical which asks for changing the graphic for each parameter.

Value

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References

Hildebrandt, A., Wilhelm, O., & Robitzsch, A. (2009). Complementary and competing factor analytic approaches for the investigation of measurement invariance. Review of Psychology, 16, 87-102.

See Also

For Examples see lsem.estimate.