Sentence examples for variable discrimination from inspiring English sources

Exact(5)

The comparison of the variable discrimination models (GRM model) with constant discrimination showed a better fit to the model of Samejima (variable discrimination), with statistically significant differences for the six factors of the instrument in both versions (p < 0.05).

Next, we compared the IRT model of constant discrimination (a c ) [Rating Scale Model (Andrich, 1978)] with variable discrimination (av) [graded response model (GRM) (Samejima, 1969)].

Variations in tissue composition may also lead to observations of variable discrimination factors.

Though these methodologies offer several strengths, they are limited in their use as a diagnostic marker due to variable discrimination accuracy and decreased test retest reliability with the manual ROI methods, and an inability to evaluate the disease state in a single individual with the whole-brain approaches.

Confidence intervals (CIs) were calculated only for time windows which showed a significant effect for the variable ' Discrimination' or any significant interaction between the variable ' Discrimination' and one of the topographical variables (' Hemisphere' or 'Region') in the global anova.

Similar(55)

Mandibular length Co-Gn and superior gonial angle were selected as significant predictive variable for discrimination.

Likelihood ratio tests were used to assess whether the addition of each variable improved discrimination [ 16].

One-way multivariate analyses of variance (MANOVA) with year as the independent variable and discrimination and difficulty as the dependent variables were conducted for each OSCE station.

Even if we do know we are scared of people who know us previously.' (FSW ID 2, age 19) Regression analysis was performed using four demographic factors (age, marital status, education, and FSW type and one attitudinal variable (perceived discrimination).

We also tested a second outcome variable, perceived discrimination in a variety of public places (reverse coded as perceived fairness), as a measure of an enabling environment conducive for HIV prevention.

The use of biplots of clr-transformed variables allows discrimination of two different groups of shales.

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