Sentence examples for mean profile discrepancy from inspiring English sources

As before, we used a mixed-design ANOVA to compare the mean profile discrepancy index for the two models.

We used a mixed-design ANOVA to compare the mean profile discrepancy index for the summation and bipolar models.

The mean profile discrepancy index for the summation model actually went up, 1.818 cc (SD = 2.03) vs. 1.824 cc (SD = 2.05), t(2277) = −2.71, p = .007; in other words, the fit at least, as measured by the profile discrepancy index actually got worse with the interaction term added to the summation model.

In contrast, the mean profile discrepancy index for the bipolar model went down, 1.775 cc (SD = 1.98) vs. 1.760 cc (SD = 1.96), t(2277) = 4.23, p < .0001, indicating that increasing the relative stimulus distance between prepubescent girls and prepubescent boys improved that model.

The results of the foregoing analyses indicated that there was little point in proceeding with the plan to re-run the ANOVA comparing the mean profile discrepancy indices for the summation and bipolar models using indices based on the revised equation for each model.

Smaller values on the profile discrepancy index meant a better fit between the subject's observed phallometric profile and the profile predicted by an equation.

I mean, profile.

Overall, the profile discrepancy index associated with the bipolar model was lower than the profile discrepancy index associated with the summation model; the grand means were 1.76 cc (SD = 1.96) and 1.82 cc (SD = 2.03), respectively.

We called this quantity the profile discrepancy index.

In other words, we did not find a difference, within the sample as a whole, between the profile discrepancy index associated with the summation model and the profile discrepancy index associated with the bipolar model.

Figure 14 Axisymmetrical mean profiles.