standardized residuals (theta) on model with robust estimator produces error

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Jun 15, 2018, 4:11:08 AM6/15/18

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Hello,

I didn't find an entry on this subject:

I have a simple simultaneous CFA:

> model <-
  "  rskminor =~ h0106.r + h0108.r + h0109.r + h0112.r
rskwork =~ h0505.r + h0315.r
rskviol =~ h0104.r + h0105.r"

I calculate the fit:

> fit <- cfa(model,
             DF,
             std.lv = F,
             estimator = "MLR")

I ask for the residuals:

> resid(fit, type = "standardized")

I get the error message:

"Fehler in A1 %*% Gamma : nicht passende Argumente" - "error in A1 %*% Gamma: not appropriate arguments"

No error is generated when the estimator is ML.

I had a similar problem when running multi group CFA.

Is this a version but?

I use lavaan 0.6_1 within RStudio 1.1.423 on a MacBook Pro with macOS High Sierra.

Best,

Georg

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Jun 15, 2018, 5:25:54 AM6/15/18

to lavaan

I use lavaan 0.6_1

I think this issue was fixed in the development version

install.packages("lavaan", repos = "http://www.da.ugent.be", type = "source")

Terrence D. Jorgensen

Postdoctoral Researcher, Methods and Statistics

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