Conducting a CFA on bi-factor models that allow latent factors to correlate

[Joan Chan]

Hi, I am trying to test a 5-factor model with a general alexithymia bi-factor model that allows 4 out of 5 latent factors to correlate using CFAs. Here is how I defined the model: 

PAQ_model6 <-'

              N_DIF =~ PAQ_2+ PAQ_8+ PAQ_14+ PAQ_20

              P_DIF =~ PAQ_5+ PAQ_11+ PAQ_17+ PAQ_23

              N_DDF =~ PAQ_1+ PAQ_7+ PAQ_13+ PAQ_19

              P_DDF =~ PAQ_4+ PAQ_10+ PAQ_16+ PAQ_22

              G_EOT =~ PAQ_3+ PAQ_6+ PAQ_9+ PAQ_12+ PAQ_15+ PAQ_18+ PAQ_21+ PAQ_24

              

              N_DIF ~~  N_DDF

              P_DIF ~~  P_DDF

              N_DIF ~~  P_DIF

              N_DDF ~~  P_DDF

              

              gen_alex =~ PAQ_1 + PAQ_2 + PAQ_3 + PAQ_4 + PAQ_5 + PAQ_6 + PAQ_7 + PAQ_8 + PAQ_9 + PAQ_10 +

                PAQ_11 + PAQ_12 +PAQ_13 + PAQ_14 + PAQ_15 + PAQ_16 + PAQ_17 + PAQ_18 + PAQ_19 + PAQ_20 +

                PAQ_21 + PAQ_22 + PAQ_23 + PAQ_24'

And here is the code that I used to test the fit of the model: 

PAQ_model6_fit <- cfa(PAQ_model6,

                       data = final_data_Sg,

                       estimator = "MLM",

                       orthogonal = FALSE, 

                       std.lv = FALSE)

I allowed the latent factors to correlate by using "orthogonal = FALSE", however, R gives me this error message: 

Warning message:

In lav_model_estimate(lavmodel = lavmodel, lavpartable = lavpartable,  :

  lavaan WARNING: the optimizer warns that a solution has NOT been found!

Does anyone have any suggestions for conducting a CFA on bi-factor models that allow latent factors to correlate? 

Thank you in advance. 

[Patrick (Malone Quantitative)]

Try specifying G_EOT at a fixed covarance of zero with the other
factors. I believe in this situation it will default to free, making
your model unidentified.

G_EOT ~~ 0*N_DIF + 0*N_DDF + (etc.)

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Patrick S. Malone, Ph.D., Malone Quantitative
NEW Service Models: http://malonequantitative.com

He/Him/His

[Patrick (Malone Quantitative)]

Sorry, I meant gen_alex, not G_EOT. Not enough coffee yet.

[Joan Chan]

It worked!! Thank you so much! :)

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