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The CFI and NNFI values were both .99, and RMSEA indices were below .06.
El ajuste del modelo resulto apropiado al considerar el error de aproximacion a los valores de la matriz de covarianza de la poblacion (RMSEA), y tambien segun los indices de ajuste relativo del modelo (NNFI y CFI).
The new CFA for the final model (model 2) has better adjustment scores, although they can still be considered sufferable ([chi square] = 260,981, p <.001, RMSEA = .08, NNFI =.91; [chi square]/df = 3.68, CFI = .93).
(Del Rey et al., 2015) tambien mostro adecuados valores de consistencia interna: [[OMEGA].sub.ciberagresion] = .94, [[OMEGA].sub.cibervictimizacion] = -91, [[OMEGA].sub.total] = .95, y el AFC confirmo la estructura bifactorial original de la prueba con optimos resultados, [[ji al cuadrado].sub.S-B] = 644.97; [[ji al cuadrado].sub.S-B]/(208) = 3.10; p < .001; NNFI = .97; CFI = .97; GFI = .97; RMSEA=.047 (IC 90% [.043, .052]); SRMR =.080; ECVI = .80; AIC = 228.96, (Herrera-Lopez et al., 2017).
The two-factor model showed good fit with CFI > 0.9 and NNFI > 0.9 while RMSEA = 0.11 > 0.08 which still indicates an acceptable fit.
The parsimonious model (constrained model) was selected if the following four criteria suggested by Cheung and Rensvold (2002) and Chen (2007) were met: (1) the constrained model did not generate a significantly worse fit than the unconstrained model (the multiplegroup baseline model) according to the chi-square test; (2) the difference in RMSEA ([DELTA]RMSEA) was lower than 0.01; (3) the difference in CFI ([DELTA]CFI) was greater than -0.01; (4) the difference in NNFI ([DELTA]NNFI) was greater than -0.01.
TABLE 1 Model Fit Index Ideal Fit Non-normed fit index (NNFI) or Tucker Lewis Index (TLI) >0.90 Root Mean Square Approximation of Error (RMSEA) <0.08 Comparative Fit Index (CFI) >0.90 [X.sup.2]/ D.F.
Moreover, all fit indices for the measurement model indicated a poor-fitting model, [chi square] (df = 9, N = 539) = 125.67, p < .001; GFI = .92; CFI = .87; RMSEA = .16; SRMR = .07; NFI = .87; NNFI = .79.
To assess model fit, relative [chi square] ([chi square]/df) less than 3; RMSEA less than 0.08; CFl greater than 0.95; SRMR less than 0.08; and NNFI greater than 0.95 were taken as acceptable threshold levels (Hooper et al., 2008; Kline, 2005).
The confirmatory factor analysis (CFA) showed good fit: [chi square] = 1047.22, g = 347, p < 0.001, [chi square]/gl = 3.02, Goodness of Fit Index (GFI) = 0.98, Normalized Fit Index (NFI) = 0.96, Non-Normative Fit Index (NNFI) = 0.97, Comparative Fit Index (CFI) = 0.98, Root Mean Square Error of Approximation (RMSEA) = 0.05.
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