Your English writing platform
Discover LudwigExact(60)
Proportion correct We analyzed participants' performance in the recognition test.
Pairwise comparisons revealed that in the first two confidence bins, the proportion correct for correct rejections was significantly higher than the proportion correct for hits (p s < .05).05
Results for affect recognition showed a proportion correct of 0.71 and an efficiency of 32.5%.
Average results for gender recognition showed a proportion correct of 0.51 and an efficiency of 0.27%.
Again, we compared the proportion correct for the last point of each scale.
First, the proportion correct conditional on response time was computed for each item.
Proportion correct for iCATHe and ICE was 80%and15%5% respectively.
Fig. 4 Proportion correct on weekly quizzes as a function of question type.
Proportion correct (or accuracy), as a function of problems attempted, was calculated for all measures.
Figure 3 shows the proportion correct conditional on response time for a sample item.
Figure 3 shows the unadjusted mean proportion correct on the prequestions, postquestions, and new questions.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com