Re: Warning messages when trying to fit bifactor model in Lavaan. What do they mean? How to solve this?

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Terrence Jorgensen

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Jun 21, 2019, 10:35:52 AM6/21/19
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Have you tried setting orthogonal=TRUE?  Method factors are hard to interpret as method factors if they are correlated.  For identification, all the method factors at least need to be orthogonal to the general factor F.

Terrence D. Jorgensen
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam
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Terrence Jorgensen

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Jul 5, 2019, 1:46:09 PM7/5/19
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The first warning is weird:
 

Warning messages:

1: In lav_partable_check(lavpartable, categorical = lavoptions$categorical,  :

  lavaan WARNING: parameter table does not contain thresholds


Why would that be?  Check your data to make sure they contain a finite number of categories:

lavTables(MyData, dim = 1)


Maybe the problem is your are passing your data.frame to the ordered= argument, instead of the character vector of names:

ordered = names(MyData)

Gulean

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Jul 12, 2019, 8:10:50 AM7/12/19
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Tried several thing, but nothing works, like:

CFA_model_1_order <- cfa(CFA_model_1, data = MyData,
   ordered=c("D1.1", "D1.2", "D1.3", "D1.4", "D1.5", "D1.6",
          "D2.1", "D2.2", "D2.3", "D2.4", "D2.5",
          "D3.1", "D3.2", "D3.3", "D3.4",
          "D4.1", "D4.2", "D4.3", "D4.4", "D4.5",
          "D5.1", "D5.2", "D5.3", "D5.4", "D5.5", "D5.6", "D5.7", "D5.8",
          "D6.1", "D6.2", "D6.3", "D6.4", "D6.5", "D6.6", "D6.7", "D6.8"))

or to make sure the items are not classed as numeric but as ordered factors:
itemsfac <- items %>% mutate_if(is.numeric, as.ordered)
CFA_model_1_order <- cfa(CFA_model_1, data = MyData)

Any suggestions?
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