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LCA with shared indicators |
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Message/Author |
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Troy Thomas posted on Monday, February 17, 2014 - 1:31 am
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I am trying to estimate a latent class model with two latent variables LV1 and LV2 which have categorical indicators (5-point rating scales). LV1 has four indicators V1 -V4 and LV2 has 14 indicators V1-V14. classes = ca(2) C(3); Analysis: Type=mixture; parameterization=LOGLINEAR; MODEL: %overall% ca with c@0; MODEL ca: %ca#1% [V1$1-V4$1]; [V1$2-V4$2]; [V1$3-V4$3]; [V1$4-V4$4]; %ca#2% [V1$1-V4$1]; [V1$2-V4$2]; [V1$3-V4$3]; [V1$4-V4$4]; MODEL C: %C#1% [V5$1-V14$1](1); [V5$2-V14$2](2); [V5$3-V14$3](3); [V5$4-V14$4](4); [V1$1-V4$1]; [V1$2-V4$2]; [V1$3-V4$3]; [V1$4-V4$4]; %C#2% [V5$1-V14$1](5); [V5$2-V14$2](6); [V5$3-V14$3](7); [V5$4-V14$4](8); [V1$1-V4$1]; [V1$2-V4$2]; [V1$3-V4$3]; [V1$4-V4$4]; This gives the following error: ONE OR MORE MULTINOMIAL LOGIT PARAMETERS WERE FIXED TO AVOID SINGULARITY OF THE INFORMATION MATRIX. ... THE FOLLOWING PARAMETERS WERE FIXED:41 Parameter 41 is the ALPHA(c) value for CA#1 (LV1) I may be approaching the model inappropriately. Thanks for any help that you can provide for this problem. |
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