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About
lavaan
1–5 of 4338
Welcome to the lavaan discussion group. Lavaan is an R package for latent variable analysis.
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Lawrence Hunsicker
,
Mauricio Garnier-Villarreal
3
12/1/19
psych::fa vs. lavaan::lavCor for mixed polychoric/linear exploratory factor analysis
Got it. Thanks! Incidentally, the warnings and the variance < 0 all went away when I dropped the
unread,
categorical
factor
lavCor
lavaan
mixed
psych
psych::fa vs. lavaan::lavCor for mixed polychoric/linear exploratory factor analysis
Got it. Thanks! Incidentally, the warnings and the variance < 0 all went away when I dropped the
12/1/19
Christopher Galgo
,
PD
2
7/19/19
Factor Score Path Analysis
Try the :::fsr function. See the articles that discuss this approach, which explain the variance/
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CFA
analysis
correlationMatrix
covariance
covarianceMatrix
factor
fsr
latent
lavaan
path
robust
score
Factor Score Path Analysis
Try the :::fsr function. See the articles that discuss this approach, which explain the variance/
7/19/19
JL
,
Terrence Jorgensen
2
5/17/19
Problems with creating a table for latent factor correlation
but does not work if I use multiple imputation: modelfitted2 <- sem.mi(model, data = df, ordered=
unread,
corrrelations
factor
latent
multi-imputed
sem
table
Problems with creating a table for latent factor correlation
but does not work if I use multiple imputation: modelfitted2 <- sem.mi(model, data = df, ordered=
5/17/19
Jason Lamprianou
,
Ben Kelcey
2
2/13/19
Factor score path analysis: An alternative for SEM?
Hi Jason, I implemented these analyses in paper below and the appendix has example code and a worked
unread,
factor
factor-score
lavaan
Factor score path analysis: An alternative for SEM?
Hi Jason, I implemented these analyses in paper below and the appendix has example code and a worked
2/13/19
Anniek Borghuis
, …
Terrence Jorgensen
9
2/5/19
Configural factor analysis with different observed variables
Factor loadings are not going to be the same, because of the different scales (5-point and 3-point
unread,
analysis
confirmatory
factor
Configural factor analysis with different observed variables
Factor loadings are not going to be the same, because of the different scales (5-point and 3-point
2/5/19
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