R: Class for Representing a Measurement-Equivalence Model

measEq.syntax-class {semTools}

R Documentation

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 signature 'measEq.syntax'
as.character(x, package = "lavaan")

## S4 method for signature 'measEq.syntax'
show(object)

## S4 method for signature 'measEq.syntax'
summary(object, verbose = TRUE)

## S4 method for signature '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.

Author(s)

Terrence D. Jorgensen (University of Amsterdam; TJorgensen314@gmail.com)

Examples

## See ?measEq.syntax help page

[Package semTools version 0.5-1 Index]