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lavaan

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Welcome to the lavaan discussion group. Lavaan is an R package for latent variable analysis.

Note: the first time you post, it may take a while (a few hours, up to a few days) before your post is visible. That only happens the very first time you post, because one of the group owners needs to approve your post. (This is to avoid spam).

If you enjoy using lavaan, please consider giving a donation to support the lavaan project. See:

https://lavaan.ugent.be/about/donate.html

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Lawrence Hunsicker, Mauricio Garnier-Villarreal3

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,

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, PD2

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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correlationMatrix

covarianceMatrix

Factor Score Path Analysis

Try the :::fsr function. See the articles that discuss this approach, which explain the variance/

7/19/19

JL, Terrence Jorgensen2

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=

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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 Kelcey2

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

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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 Jorgensen9

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,

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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