Sentence examples for criterion effect from inspiring English sources

Therefore, all items matched the preset criterion (effect size f < 0.40) and can be regarded as gender and age fair.

For the classification of patients, into those admitted and non-admitted, one criterion (effect) and "being a manager or not" became insignificant, while profession ("being a psychiatrist") became significant.

In model III, the priority decision (patients admitted into high or low priority groups) was influenced by all three criteria and none of the rater characteristics, whereas for model II the priority decision (admitted vs. non-admitted) was unaffected by one criterion (effect) at the same time that three rater characteristics were significant.

It is known that the yes-no procedure is not free of subject's criterion effects [17] and this may be a limitation of the MEDOC system that we used (see methods).

Previous studies of criterion effects in classification tasks (Healy & Kubovy, 1981; Lee & Janke, 1964, 1965) have not used natural criteria but arbitrary points along a continuum such as brightness, and thus are not relevant to the question we pose here.

Figure 6 Rejection Criteria Effect: ROC curves for LAIRX statistic map thresholded at 0. 0.150.15, and 0.65, respectively.

Ideally, this decision should be based on biological criteria, but in the absence of viable biological criteria, effect magnitudes can be set arbitrarily.

Any type of error and incompatibility in comparisons and determining the importance of criteria effects the final results.

This evaluation study uses a concurrent mixed methods design (a combination of qualitative and quantitative research methods) to evaluate triage criteria, effects, processes and costs of the care provided in the three hospitals.

The criterion shift effect was supported by a main effect of time on criterion (F 3.3,59.9)=2.938, P=0.036, ηP2=0.140), and the direction of the shift was confirmed by planned t-tests comparing the terminal criterion against the initial criterion (t(18)=2.848, P=0.011, Cohen's d=0.692) and against a neutral criterion of zero (t(18)=3.730, P=0.002, Cohen's d=0.859).

The variables that passed the criteria for effect measure modification and confounding were then retained and fitted into the logistic regression model.