mirt (version 1.14)

summary-method: Summary of model object

Description

Transforms coefficients into a standardized factor loading's metric. For MixedClass objects, the fixed and random coefficients are printed.

Usage

# S4 method for SingleGroupClass
summary(object, rotate = "oblimin",
  Target = NULL, suppress = 0, digits = 3, printCI = FALSE,
  verbose = TRUE, ...)

Arguments

object

an object of class SingleGroupClass, MultipleGroupClass, or MixedClass

rotate

a string indicating which rotation to use for exploratory models, primarily from the GPArotation package (see documentation therein).

Rotations currently supported are: 'promax', 'oblimin', 'varimax', 'quartimin', 'targetT', 'targetQ', 'pstT', 'pstQ', 'oblimax', 'entropy', 'quartimax', 'simplimax', 'bentlerT', 'bentlerQ', 'tandemI', 'tandemII', 'geominT', 'geominQ', 'cfT', 'cfQ', 'infomaxT', 'infomaxQ', 'mccammon', 'bifactorT', 'bifactorQ'.

For models that are not exploratory this input will automatically be set to 'none'

Target

a dummy variable matrix indicting a target rotation pattern. This is required for rotations such as 'targetT', 'targetQ', 'pstT', and 'pstQ'

suppress

a numeric value indicating which (possibly rotated) factor loadings should be suppressed. Typical values are around .3 in most statistical software. Default is 0 for no suppression

digits

number of significant digits to be rounded

printCI

print a confidence interval for standardized loadings (e.g., printCI = .95 gives a 95% confidence interval)

verbose

logical; allow information to be printed to the console?

...

additional arguments to be passed

See Also

coef-method

Examples

# NOT RUN {
# }
# NOT RUN {
x <- mirt(Science, 2)
summary(x)
summary(x, rotate = 'varimax')

#print confidence interval (requires computed information matrix)
x2 <- mirt(Science, 1, SE=TRUE)
summary(x2, printCI=.95)
# }