�þQAP LOGISTIC REGRESSION -------------------------------------------------------------------------------- Dependent Variable: 0000-2022_EP-TEACH (D:\Projetos\00 Nova\DOCENTES PPGs\00 Dados CAPES\EXPORT\UCINET\0000-2022_EP-TEACH Independent Variables: 0000-2022_EP-RESEARCH 0000-2022_EP-TEACH-Reciprocity 0000-2022_EP-TEACH-Transitivity (Closure) 0000-2022_EP-TEACH-Cyclicity 0000-2022_EP-TEACH-Preferential Attachment # of permutations: 1500 Random seed: -607169056 Statistics to track: Betas P-values: 2-tailed Data type: Non-Symmetric (directed) Predicted values: 0000-2022_EP-TEACH-pred (D:\Projetos\00 Nova\DOCENTES PPGs\00 Dados CAPES\EXPORT\UCINET\0000-2022_EP-TEACH-pred Model fit stats: 0000-2022_EP-TEACH-fit (D:\Projetos\00 Nova\DOCENTES PPGs\00 Dados CAPES\EXPORT\UCINET\0000-2022_EP-TEACH-fit Model coefficients: 0000-2022_EP-TEACH-coef (D:\Projetos\00 Nova\DOCENTES PPGs\00 Dados CAPES\EXPORT\UCINET\0000-2022_EP-TEACH-coef Permutation history: history (D:\Projetos\00 Nova\DOCENTES PPGs\00 Dados CAPES\EXPORT\UCINET\history Important note: This procedure uses the Y-permutation method. Dependent variable: : 0000-2022_EP-TEACH Overall fit of the logistic regression model 1 2 3 4 5 LL R-Sqr Sig Obs Perms ----------------- ----------------- ----------------- ----------------- ----------------- 1 Statistics: -2376.113525391 0.479042679 0.000666667 219492 1500 1 rows, 5 columns, 1 levels. The r-squared shown is McFadden's pseudo r-squared. LR Coefficients & Permutation Results (betas used in the permutations) 1 2 3 4 5 6 7 8 9 Coef OddsRat Sig SD Avg Min Max P(ge) P(le) --------------- --------------- --------------- --------------- --------------- --------------- --------------- --------------- --------------- 1 Intercept -7.043456078 0.000873104 0.000666667 0.797113121 -5.608850002 -7.043456078 -1.986653566 1 0.000666667 2 0000-2022_EP-RESEARCH 8.167680740 3525.159912109 0.000666667 1.892600656 -0.736527383 -5.555278778 8.167680740 0.000666667 1 3 0000-2022_EP-TEACH-Reciprocity -2.288151503 0.101453826 0.107333332 1.548454762 -0.489460677 -5.817553997 1.417594314 0.893333316 0.107333332 4 0000-2022_EP-TEACH-Transitivity (Closure) 1.744899273 5.725325108 0.000666667 0.906740963 -0.253060848 -5.305886269 1.744899273 0.000666667 1 5 0000-2022_EP-TEACH-Cyclicity -1.459093928 0.232446790 0.027333334 0.838590264 -0.185229152 -5.177426815 0.977252424 0.973333359 0.027333334 6 0000-2022_EP-TEACH-Preferential Attachment 0.189632624 1.208805442 0.000666667 0.031152966 -0.003192918 -0.098305732 0.189632624 0.000666667 1 6 rows, 9 columns, 1 levels. -------------------------------------- Running time: 00:16:59 seconds. Output generated: 13 jul 24 07:54:13 UCINET 6.798 Copyright (c) 2002-2023 Analytic Technologies