Error: group input provided is not valid -earlier solutions in thread not helpful

[Vas]

Hi
please help me on the below
bifactor_model <- '
G = 1-11  # General factor loads on all items
f1 = 1-4  # Specific factor for items 1-4
f2 = 5-7  # Specific factor for items 5-8
f3 = 8-11 # Specific factor for items 9-12
'
I have found this model to have the best fit to the data. As a next step i want to test the dif for this model with gender as the factor/grouping variable.

> str(data)
spc_tbl_ [400 × 12] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
 $ item1  : num [1:400] 6 5 5  ...
 $ item2 : num [1:400]  6 5 6   ...
 $ item3  : num [1:400] 6 4 5  ...
 $ item4 : num [1:400] 6 5 5  ...
 $ item5  : num [1:400] 6 5 5  ...
 $ item6  : num [1:400] 6 4 5  ...
 $ item7  : num [1:400] 6 4 5  ...
 $ item8: num [1:400] 6 5 5  ...
 $ item9: num [1:400] 6 5 5  ...
 $ item10: num [1:400] 6 4 5  ...
 $ item11 : num [1:400] 6 5 5  ...
 $ gender : chr [1:400] "1" "2" "2" "1" ...


MGmodel <- multipleGroup(data, model = bifactor, group = "gender",
                         itemtype = 'graded', method = 'QMCEM', SE = TRUE)
 Error: group input provided is not valid                  
                  OR
MGmodel <- multipleGroup(data, model = bifactor_model, group = "gender")


Error: group input provided is not valid

Can you help me with this? I understand that there were earlier questions on this error, but this error persists even after I convert gender as a chr.
Thanks in advance for your thanks and consideration
vas

[Phil Chalmers]

Using group = 'gender' does not pass the gender variable, but rather a character vector with only one element. You probably want something like group = dat$gender, or something that points to the grouping variable explicitly.

Phil

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