lavaan hierarquical two first-order factors

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OM

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Jul 11, 2024, 12:27:13 PM7/11/24

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How can I fix a hierarquical CFA with only two first-order factors (with 3 or more first-order factors it works fine).

cfa_H <- 'factorWM =~ Pitem1 + Pitem3 + Pitem6 + Pitem7 + Pitem9 + Pitem19 + Pitem21 + Pitem23 + Pitem24 + Pitem12 + Pitem14 + Pitem17 + Pitem20
factorINH =~ Pitem2 + Pitem4 + Pitem8 + Pitem11 + Pitem15 + Pitem5 + Pitem10 + Pitem13 + Pitem16 + Pitem18 + Pitem22

FG =~ factorWM + factorINH '

model_H <- cfa(model = cfa_H,
data = AAA,
ordered = TRUE,
estimator = "WLSMV",
missing = "pairwise")

summary(model_H, standardized = TRUE, fit.measures = TRUE, rsquare = TRUE)

Terrence Jorgensen

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Aug 2, 2024, 9:51:42 AM8/2/24

to lavaan

Fix both factor loadings to 1

FG =~ 1*factorWM + 1*factorINH

The FG variance is simply the covariance between factorWM and factorINH.

Terrence D. Jorgensen

Assistant Professor, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam