mirt (version 1.6.1)

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

## S3 method for class 'ExploratoryClass':
summary(object, rotate = "", Target = NULL,
  suppress = 0, digits = 3, printCI = FALSE, verbose = TRUE, ...)

Arguments

object

an object of class ExploratoryClass, ConfirmatoryClass, 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'

Target

a dummy variable matrix indicting a target rotation pattern

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

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)