Sentence examples for prevalence performance from inspiring English sources

If this alternative interpretation of our results is true, we should find that each variable which accounts for a significant proportion of low prevalence performance should also account for a significant proportion of high prevalence performance.

We enter the cognitive factors high prevalence performance, K, and attentional control into the model with personality factors.

High prevalence performance was a significant predictor of low prevalence target-absent reaction time, t = 7.16, p < 0.001, β = 0.51.

We found high prevalence performance and K are both significantly correlated with false alarms (see Table 4).

High prevalence performance, K, and attentional control all significantly contributed to the model, t values > 2.2, p values < 0.03, all β values > 0.11.

High prevalence performance, attentional control, and extraversion significantly contributed to the model and K was a marginal predictor (see Table 3).

To investigate the ability of individual difference factors to predict low prevalence search performance, we performed linear regression models.

As any effects of prevalence on performance may be explained by differences in performance across different x-ray types, the interaction between the prevalence and x-ray type was evaluated.

We also performed this regression leaving low prevalence search performance out of the model.

Finding that high prevalence search performance is a good predictor of low prevalence search performance would provide an efficient method for predicting who would be good at low prevalence search tasks.

The results of our regression analysis suggest that five factors (measures of visual WMC, attentional control, vigilance, high prevalence search performance, and the personality trait of introversion) were significant predictors of low prevalence search performance; a regression model with these five factors accounted for over 50% of the variance in low prevalence visual search performance.