Sentence examples for discrimination of values from inspiring English sources

However they are widely used in psychological research and allow for careful discrimination of values and are a rapid means of gathering ratings [ 43].

According to Jung, the anima is the part of individuals enabling them to receive, to hold, to cry; to pay attention to details and shades, i.e. to achieve the discrimination of values depending on the feeling function (considering Jung's model of the four functions); to go deep into meaning and pain; to promote and take care of life.

Discrimination of values was assessed with the receiver operating characteristic analysis.

Discrimination of values was performed using receiver operating characteristic (ROC) analysis.

A by-product of the research methodology was the discrimination of predictive value between manual and machine assessment techniques.

Table 4 AIC and coefficients of discrimination (D) values of the different forms of the model fitted to the dataset using logistic regression   AIC D Adaptation Belief 484.86 0.01 Adaptation Belief + Experience 482.12 0.03 Full model 196.29 0.65 The value in bold is the most parsimonious model as selected by AIC comparison (ΔAIC > 2).

This study aims to (1) determine the cutoff values of the overall severity (OS) of vocal deviation on the visual analog scale (VAS) based on the ratings of the numerical scale (NS); and (2) verify the power of discrimination of these cutoff values according to different degrees of vocal deviation.

Other restraints like paramagnetic relaxation enhancements or SAXS data were also included for better discrimination of the MaxOcc values.

Because this may have potentially limited discrimination of the quantitative values, data were subject to binary categorization based on 3 previously used deficiency cutoffs: 50, 100, and 500 ng/mL [ 30– 30].

Area under the curve (AUC) of a ROC curve indicates the ability to discriminate a true result, with values of 0.5 showing no discrimination and values of 1.0 equal to perfect discrimination.

A value of 0.5 indicates no predictive discrimination, and values of 0 or 1.0 indicate perfect separation of patients [ 25].