Get a Relatively Good Model
Go to >>> Analyze menu >>> Data Imputation >>> Regression Imputation
- No missing values
- No space in factor names
Same as SEM.
CMIN --- CMIN/DF: < 3 (good); < 5 (OK) CMIN --- P: > .05 RMR,GFI --- GFI: >.95 RMR,GFI --- AGFI: >.80 Baseline Comparison --- CFI: >.95 (good); > .90 (OK); > .80 (barely OK) Parsimony-Adjusted Measure --- PCFI: >.80 RMSEA --- RMSEA: <.05 (good); >.05 && <.10 (OK); >.10 (barely OK) RMSEA --- PCLOSE: >.05
CMIN/DF and P-value together tell you whether you model has a good fit; if the result is not within the range of metrics while you have a big number of sample, it is OK.
Go to Modification Indices >>> Covariances and look for big number of M.I. between each pair of errors. Covariate ONLY those pair of errors at the same level.
For more information, please see Dr. Gaskin's website.