Cannot estimate simple CFA - warning and error

[Lukas Wallrich]

Dear group,

I am trying to estimate a simple CFA and get a warning ("all observed variables are exogenous") and an error ("cov(X[[g]], use = "pairwise") : 'x' is empty), neither of which I understand.

Below the code I am using - I would be very grateful for any pointers in the right direction (my actual model has more factors and indicators, but the messages stay the same).

Kind regards,

Lukas

``` r

cfa_model <- ("

  PolSup := DivPol1 + DivPol2 + DivPol3 + DivPol4

  DivValI := DivValInstr1 + DivValInstr2R + DivValInstr3

")

cfa_dat <- tibble::tribble(

  ~DivPol1, ~DivPol2, ~DivPol3, ~DivPol4, ~DivValInstr1, ~DivValInstr2R, ~DivValInstr3, ~DivValInstr4, 

2, 2, 4, 5, 4, 4, 4, 4, 

  6, 6, 6, 7, 6, 2, 5, 6, 

  5, 5, 4, 4, 7, 3, 4, 7, 

  7, 7, 7, 4, 3, 4, 4, 4, 

  2, 2, 3, 4, 5, 4, 2, 4, 

  4, 4, 4, 5, 2, 7, 1, 1, 

  6, 7, 5, 5, 7, 5, 7, 6, 

  5, 4, 7, 4, 6, 5, 7, 6, 

  5, 5, 7, 5, 6, 2, 4, 6, 

  5, 7, 6, 7, 1, 6, 4, 4, 

  4, 4, 4, 4, 4, 1, 5, 5, 

  5, 4, 7, 3, 6, 2, 5, 6, 

  4, 7, 7, 4, 4, 4, 4, 7, 

  4, 4, 4, 5, 4, 1, 5, 7, 

  6, 6, 4, 6, 6, 6, 6, 6

)

require(lavaan)

#> Loading required package: lavaan

#> This is lavaan 0.6-5

#> lavaan is BETA software! Please report any bugs.

fit <- cfa(cfa_model, data = cfa_dat)

#> Warning in lav_data_full(data = data, group = group, cluster = cluster, : lavaan

#> WARNING: all observed variables are exogenous; model may not be identified

#> Error in stats::cov(X[[g]], use = "pairwise"): 'x' is empty

```

[car...@web.de]

":=" defines a new parameter and not the measurement model. The lavaan tutorial is very helpful to learn the syntax: https://lavaan.ugent.be/tutorial/syntax1.html




Am 30.05.20, 12:01 schrieb Lukas Wallrich <lukas.wallrich@gmail.com>:

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Am 30.05.20, 12:01 schrieb Lukas Wallrich <lukas.w...@gmail.com>:

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