add_composite_scores: For each latent variable in a structural model, add a...

In simstandard: Generate Standardized Data

Description

For each latent variable in a structural model, add a composite score to observed data.

Usage

add_composite_scores(
  d,
  m,
  mu = 0,
  sigma = 1,
  names_suffix = "_Composite",
  keep_observed_scores = TRUE,
  ...
)

Arguments

d	A data.frame with observed data in standardized form (i.e, z-scores)
m	A character string with lavaan model
mu	Score means. Composite scores will also have this mean. Defaults to 0.
sigma	Score standard deviations. Composite scores will also have this standard deviation. Defaults to 1.
names_suffix	A character string added to each composite score name
keep_observed_scores	The observed scores are returned along with the composite scores.
...	parameters passed to simstandardized_matrices

Value

data.frame with observed data and estimated factor scores

Examples

library(simstandard)
# lavaan model
m = "
X =~ 0.9 * X1 + 0.8 * X2 + 0.7 * X3
"

# Make data.frame for two cases
d <- data.frame(
  X1 = c(1.2, -1.2),
  X2 = c(1.5, -1.8),
  X3 = c(1.8, -1.1))

# Compute composite scores for two cases
add_composite_scores(d, m)

simstandard documentation built on May 8, 2021, 1:06 a.m.