Sentence examples for standardized fit from inspiring English sources
Item and person standardized fit residuals should be located between ±2.5 logits to be considered as fitting the model [ 48].
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).
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.
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 fit of individuals and items were assessed with non-significant Χ probability values; standardized fit residuals of −2.5 to +2.5 indicate adequate fit (CI, 99 %) [ 23].
Spatial standardization fit images to the Montreal Neurological Institute (MNI) standard brain and we excluded those with low degrees of standardized fitting.
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.
The standardized patient fit well into the usability testing sessions.
Everything destined for space is very standardized: it must fit in a certain volume, withstand all kinds of pressures and shocks, and so on.
"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.
The standardized residuals better fitted to the standard normal distribution on the probability scale than on the log-odds scale.
