Sentence examples for standardized fitting from inspiring English sources

Spatial standardization fit images to the Montreal Neurological Institute (MNI) standard brain and we excluded those with low degrees of standardized fitting.

Item and person standardized fit residuals should be located between ±2.5 logits to be considered as fitting the model [ 48].

A non-significant x probability value of > 0.05 together with standardized fit residuals (differences between observed and expected values) between −2.5 and +2.5 indicate adequate fit of individual person and item residuals.

All standardized fit indices suggested high goodness of fit of the proposed factor structure and supported the MS measurement model (χ2 = 10.87, df = 2, p = 0.004, CFI = 0.97, and SRMR = 0.0198).

At the individual item-and person level of fit, a nonsignificant X 2 probability value and standardized fit residuals of between -2.5 and +2.5 indicate adequate fit the latter consistent with the 99% confidence interval for the residuals, thus allowing for some recognition of multiple testing (i.e. setting the significance level at 0.01).

The standardized residuals better fitted to the standard normal distribution on the probability scale than on the log-odds scale.

Therefore, we examined overall model fit indices using standard fit statistics: the chi-square, comparative fit index (CFI), and the standardized root mean square residual (SRMR) for six of the 12 composites that had four items.

Plots of standardized residuals vs. fitted values obtained from the final model fitted for both species (Fig. 2) did not show any problems with heteroscedasticity.

Standardized security that fits into the fundamental building blocks of computing will soon dominate and it is easy to guess who will supply it.

"The problem is," he continued," how do you get them out there?" Everything destined for space is very standardized: it must fit in a certain volume, withstand all kinds of pressures and shocks, and so on.

Heteroscedasticity of the data was assessed by examining the plots of standardized residuals versus fitted values.