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Criteria For Assessing Goodness Of Fit Criterion DF Value Deviance 7 12 .3687 Pearson Chi-Square 7 12. 1996 Analysis Of Parameter Estimates Standard LR 95%

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Criteria For Assessing Goodness Of Fit Criterion DF Value Deviance 7 12 .3687 Pearson Chi-Square 7 12. 1996 Analysis Of Parameter Estimates Standard LR 95% Confidence Wald Chi- Parameter DF Estimate Error Limits Square EI*SN e n 1 0 . 3219 0.1360 0 . 0553 0 . 5886 5.60 SN*TF f 1 0 . 4237 0 . 1520 0 . 1278 0 . 7242 7. 77 SN*JP n U. 1 -1. 2202 0 . 1451 -1 . 5075 -0.9382 70 . 69 TF*JP f 1 -0. 5585 0 . 1350 -0. 8242 -0. 2948 17 .12 a) Based on the fit, show that the estimated conditional association is strongest between the S/N and J/P scales and that there is not strong evidence of conditional association between the E/I and T/F scales or between the E/I and J/P scales. b) Compare this to the fit of the model containing all the pairwise associations, which has deviance 10.16 with df = 5. What do you conclude

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