Sentence examples for data cfi from inspiring English sources

The results of the SEM test using the calibration sample revealed an adequate fit to the data (CFI = 0.95, RMSEA = 0.04, Δχ2/Δdf = 2.99).

Consistent with the Portuguese validation studies, CFA of model 8 revealed that this model provided a good fit to the Brazilian data (CFI and GFI > .90; RMSEA < .08).08

Although the chi-square statistic was statistically significant (χ 2 = 15.130, df = 2, p < .001), other statistics showed an overall good model fit with the data (CFI = .944 and SRMR = .039).039

The receptive-productive model (Model 4C) produced a statistically significant chi-square statistic (χ 2 = 9.766, df = 1, p < .001), and yet an overall good model fit with the data (CFI = .953 and SRMR = .030).030

For the unitary model (Model 4A), although the chi-square statistic was statistically significant (χ 2 = 11.101, df = 2, p < .001), other statistics showed an overall good model fit with the data (CFI = .951 and SRMR = .033).033

With respect to the measurement model, the proposed model displayed a good level of fit with the data(CFI = 0.958; RMSEA = 0.056; WRMR = 0.828; X 2  = 99.42952; p < 0.05) using multiple fit indices (Schreiber et al. 2006; Hooper et al. 2008).

By convention, the following guidelines are considered as an indicator of good model fit to the data: GFI, CFI, NFI, IFI > .90 (Meyers et al. 2006), SRMR < .08 (Hu and Bentler 1999), and RMSEA < .07 (Steiger 2007).

We collected data on CFI, measured as the degree of cerebellar cortex folding compared with a hypothetical unfolded cortex for the same cerebellum size, cerebellum volume, whole brain volume and body mass from Iwaniuk et al. [ 4] for 87 bird species.

However, one has to note that the unidimensional model has poorer fit to the data (RMSEA: 0.135, CFI: 0.804, TLI: 0.726).

A two-factor model supported by the recent literature (Credé et al. 2017; Midkiff et al. 2017) provides good fit with the data (RMSEA: 0.059, CFI: 0.964, TLI: 0.947).

Given the importance and uniqueness of the Adirondacks Region, an individual tree growth and yield model was developed based on existing, long term CFI data (>50 years) for the region.