semTools (version 0.5-1)

measEq.syntax-class: Class for Representing a Measurement-Equivalence Model

Description

This class of object stores information used to automatically generate lavaan model syntax to represent user-specified levels of measurement equivalence/invariance across groups and/or repeated measures. See measEq.syntax for details.

Usage

# S4 method for measEq.syntax
as.character(x, package = "lavaan")
# S4 method for measEq.syntax
show(object)
# S4 method for measEq.syntax
summary(object, verbose = TRUE)
# S4 method for measEq.syntax
update(object, ..., evaluate = TRUE)

Arguments

x, object

an object of class measEq.syntax

package

character indicating the package for which the syntax should be generated. Currently, only "lavaan".

verbose

logical indicating whether to print a summary to the screen (default). If FALSE, only a pattern matrix is returned.

...

Additional arguments to the call, or arguments with changed values.

evaluate

If TRUE, evaluate the new call; otherwise, return the new call.

Value

summary

signature(object = "measEq.syntax", verbose = TRUE): A character matrix indicating the pattern of numeric, ordered, or latent indicators loading on common factors. By default (verbose = TRUE), summary also prints descriptive details about the model, including the numbers of indicators and factors, and which parameters are constrained to equality.

show

signature(object = "measEq.syntax"): Prints a message about how to use the object for model fitting. Invisibly returns the object.

update

signature(object = "measEq.syntax"), ..., evaluate = TRUE: Creates a new object with updated arguments.

as.character

signature(x = "measEq.syntax", package = "lavaan"): Converts the measEq.syntax object to model syntax that can be copy/pasted into a syntax file to be edited before analysis, or simply passed to lavaan to fit the model to data.

Slots

package

character indicating the software package used to represent the model. Currently, only "lavaan" is available, which uses the LISREL representation (see lavOptions). In the future, "OpenMx" may become available, using RAM representation.

model.type

character. Currently, only "cfa" is available. Future versions may allow for MIMIC / RFA models, where invariance can be tested across levels of exogenous variables explicitly included as predictors of indicators, controlling for their effects on (or correlation with) the common factors.

call

The function call as returned by match.call(), with some arguments updated if necessary for logical consistency.

meanstructure

logical indicating whether a mean structure is included in the model.

numeric

character vector naming numeric manifest indicators.

ordered

character vector naming ordered indicators.

parameterization

character. See lavOptions.

specify

list of parameter matrices, similar in form to the output of lavInspect(fit, "free"). These matrices are logical, indicating whether each parameter should be specified in the model syntax.

values

list of parameter matrices, similar in form to the output of lavInspect(fit, "free"). These matrices are numeric, indicating whether each parameter should be freely estimated (indicated by NA) or fixed to a particular value.

labels

list of parameter matrices, similar in form to the output of lavInspect(fit, "free"). These matrices contain character labels used to constrain parameters to equality.

constraints

character vector containing additional equality constraints used to identify the model when ID.fac = "fx".

ngroups

integer indicating the number of groups.

Examples

# NOT RUN {
## See ?measEq.syntax help page

# }