uni_cfa: Unidimensional confirmatory factor analysis

In eunscho/reliacoef: Compute and Compare Unidimensional and Multidimensional Reliability Coefficients

Unidimensional confirmatory factor analysis

Description

Unidimensional confirmatory factor analysis

Usage

uni_cfa(
  cov,
  what = "est",
  sample_size = 500,
  nonneg_loading = FALSE,
  nonneg_error = TRUE,
  taueq = FALSE,
  parallel = FALSE
)

Arguments

cov	observed covariances
what	e.g., "est", "std", "fit"
sample_size	number of sample observations
nonneg_loading	if TRUE, constraint loadings to nonnegative values
nonneg_error	if TRUE, constraint loadings to positive values
taueq	if TRUE, a tau-equivalent model is estimated
parallel	if TRUE, a parallel model is estimated

Value

parameter estimates of unidimensional cfa model

Examples

uni_cfa(Graham1)

eunscho/reliacoef documentation built on Jan. 30, 2023, 12:16 a.m.