cfa_evar_near_zero: Dataset (CFA, Two Factors, One Standardized Error Variance...

In semlbci: Likelihood-Based Confidence Interval in Structural Equation Models

Dataset (CFA, Two Factors, One Standardized Error Variance Close to Zero)

Description

Generated from a two-factor model, with one standardized error variance close to zero.

Usage

cfa_evar_near_zero

Format

A data frame with 120 rows and six variables, x1 to x6

Details

This model is used for examples like this one:

# If fitted by the following model, the standardized
# error variance of `x3` is close to zero.
# Consequently, the R-square of `x3` is close to one:

library(lavaan)
mod <- "f1 =~ x1 + x2 + x3
        f2 =~ x4 + x5 + x6"
fit <- cfa(mod, cfa_evar_near_zero)
summary(fit, standardized = TRUE, rsquare = TRUE)

Examples

print(head(cfa_evar_near_zero), digits = 3)
nrow(cfa_evar_near_zero)

semlbci documentation built on April 3, 2025, 7:38 p.m.