CFA {bruceR}R Documentation

Confirmatory Factor Analysis (CFA).

Description

An extension of lavaan::cfa().

Usage

CFA(
  data,
  model = "A =~ a[1:5]; B =~ b[c(1,3,5)]; C =~ c1 + c2 + c3",
  highorder = "",
  orthogonal = FALSE,
  missing = "listwise",
  digits = 3,
  nsmall = digits,
  file = NULL
)

Arguments

data

Data frame.

model

Model formula. See examples.

highorder

High-order factor. Default is "".

orthogonal

Default is FALSE. If TRUE, all covariances among latent variables are set to zero.

missing

Default is "listwise". Alternative is "fiml" ("Full Information Maximum Likelihood").

digits, nsmall

Number of decimal places of output. Default is 3.

file

File name of MS Word (.doc).

Value

A list of results returned by lavaan::cfa().

See Also

Alpha, EFA, lavaan_summary

Examples

data.cfa=lavaan::HolzingerSwineford1939
CFA(data.cfa, "Visual =~ x[1:3]; Textual =~ x[c(4,5,6)]; Speed =~ x7 + x8 + x9")
CFA(data.cfa, model="
    Visual =~ x[1:3]
    Textual =~ x[c(4,5,6)]
    Speed =~ x7 + x8 + x9
    ", highorder="Ability")

data.bfi=na.omit(psych::bfi)
CFA(data.bfi, "E =~ E[1:5]; A =~ A[1:5]; C =~ C[1:5]; N =~ N[1:5]; O =~ O[1:5]")


[Package bruceR version 0.8.0 Index]