Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
To compare performance between the two experiments, we conducted a two-way, mixed design ANOVA with experiment type ("pass" or "exchange") as a between-subject factor and set size as a within-subject factor.
Thus, we ran one more day of extinction than in Experiment 1 to equate levels of performance between the two experiments, which for unknown reasons took longer in Experiment 2. Phase 2 treatment for Groups Cover and No Cover were as described for Experiment 1.
Similar(58)
The time interval between the two experiments was 24 hr.
Abundance changes were correlated between the two experiments (r = 0.68; p=0.6813).
We first confirmed that there was no statistical difference between the performance of the shams in the two experiments, using a repeated-measures anova for Block B, with a between-subjects factor of experiment (two levels) and a within-subjects factor of day (six levels).
Fig. 5 Four random users' performance results in the four experiments.
Separate correlation analyses for the two experiments revealed a positive correlation between performance and difference contrast, in experiment 1 for both MGBs.
Experiment 2 was a 2 × 2 × 2 repeated measures design comparing performance between the two display modes while manipulating the lighting conditions.
Performance between the two groups was about equal.
What's the biggest difference between how you approach the performance between the two mediums?
The three experiments showed promising results in performance and security regarding MDSBA.
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