read_mplus_object_results: Reading results from estimated Mplus models

In tzoltak/rstyles: Generating Simulated Data Mimicking Response Styles to Survey Questions

Reading results from estimated Mplus models

Description

Transforms results included in estimated mplusObject into list of (lists of) data frames storing different sets of parameters.

Usage

read_mplus_object_results(
  model,
  wide = vector(mode = "character", length = 0L),
  deleteDataFile = TRUE
)

Arguments

model	an (already estimated) mplusObject
wide	optionally a character vector indicating that resulting data frames should be transformed to wide format with only one row and all the statistics in separate columns; argument gives names of the statistics - to be chosen from the set: "est", "se", "est_se", "pval" - that should be included in the resulting data frames
deleteDataFile	a logical value indicating whether to remove from disk the text file storing the data from which the model was estimated

Value

A list with elements:

• fitIndices - one-row data frame containing model fit indices and possibly warnings an errors,

• pathCoefs - a list with element unstandardized and possibly other elements storing standardized results; each of the elements is a data frame storing slopes and intercepts from the structural part of the model and also possibly latent trait means (if freely estimated in the model),

• variances - a list with element unstandardized and possibly other elements storing standardized results; each of the elements is a data frame storing variable variances or residual variances,

• covariances - a list with element unstandardized and possibly other elements storing standardized results; each of the elements is a data frame storing variable covariances,

• slopes - a list with element unstandardized and possibly other elements storing standardized results; each of the elements is a data frame storing slope/discrimination parameters linking latent traits with their items (observed indicators),

• thresholds - a list with element unstandardized and possibly other elements storing standardized results; each of the elements is a data frame storing threshold/step/intercept item (observed indicators of latent traits) parameters,

• rSquared - R-squared statistics for observed dependent variables (if reported in the Mplus output),

• reliabilities - factor scores reliabilities, available only if factor scores and their standard errors were estimated.

tzoltak/rstyles documentation built on Dec. 4, 2024, 5:16 p.m.