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michaelhallquist / MplusAutomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
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MLR residual extraction for categorical items #121

Open michaelhallquist opened 4 years ago

michaelhallquist commented 4 years ago

The residual parser cannot extract residuals from MLR-type outputs when items are categorical. The section is rather different:

     UNIVARIATE DISTRIBUTION FIT

     Variable          Observed      Estimated      Residual (Obs.-Est.)    Stand. Residual
     Q16_01
       Category 1        0.021          0.018                  0.003                0.854
       Category 2        0.045          0.044                  0.001                0.222
       Category 3        0.113          0.118                 -0.005               -0.705
       Category 4        0.821          0.820                  0.002                0.178

and

     BIVARIATE DISTRIBUTIONS FIT

     Variable       Variable          Observed     Estimated    Residual (Obs.-Est.)  Stand. Residua
     Q16_01         Q16_02
       Category 1     Category 1        0.005       0.006            -0.001           -0.418
       Category 1     Category 2        0.002       0.003            -0.001           -0.729
       Category 1     Category 3        0.002       0.004            -0.002           -1.602
       Category 1     Category 4        0.002       0.005            -0.003           -2.062
       Category 2     Category 1        0.007       0.012            -0.005           -2.077
       Category 2     Category 2        0.005       0.008            -0.003           -1.373
       Category 2     Category 3        0.005       0.010            -0.006           -2.444
       Category 2     Category 4        0.010       0.014            -0.004           -1.529
       Category 3     Category 1        0.013       0.019            -0.007           -2.225
       Category 3     Category 2        0.017       0.018            -0.001           -0.253
       Category 3     Category 3        0.030       0.030             0.000            0.102
       Category 3     Category 4        0.044       0.051            -0.008           -1.570
       Category 4     Category 1        0.022       0.032            -0.009           -2.373
       Category 4     Category 2        0.032       0.044            -0.012           -2.610
       Category 4     Category 3        0.103       0.115            -0.012           -1.682
       Category 4     Category 4        0.702       0.629             0.073            6.719

MLR_doesnt_work.txt