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Forty-eight piglets from 12 litters (4 piglets/litter) were tested in a split plot design with litters as the experimental units for comparing two familiarity (familiar/unfamiliar) and three relocation (no relocation/relocation to pens with the same spatial orientation/relocation to pens with a different spatial orientation) treatments.
We calculated correlation coefficients to assess the relationship between these difference scores and our two familiarity scores (i.e., familiarity with SSB and LES, separately).
These two familiarity scores were used to calculate correlation coefficients to estimate associations with the expected satiation of these test meals.
There was a difference between the two discourse types, F (1, 43) = 6.40, p =.01, and the two familiarity levels, F (1, 43) = 5.14, p =.03, that needs to be understood in terms of a significant two-way interaction of type and familiarity, F (1, 43) = 45.85, p <.0001.
Note that we also ran a 2 (judgment type; expected satiation and perceived volume scores) × 6 (meal variety; levels 1 6) repeated-measures ANOVA with our continuous composite measure of familiarity included as a covariate (two familiarity scores that were greater than three standard deviations from the mean were treated as outliers and were removed from this analysis).
Similar(55)
Since a worker's knowledge is hard to quantify exactly, we propose to use four familiarity levels to assess the worker's knowledge: (1) has no idea of the area; (2) have heard the area but never been there; (3) have visited the area several times; and (4) knows this area very well (local resident).
The unfamiliar face stimuli were chosen if the participant could not name the person, provided a zero familiarity score, and gave a valence score between 4 and 6.
When the data were split into the four familiarity pairings, significantly more birds perched in trees near the speakers when both individuals in the dyad were familiar to the local group (F♂F♀; pairwise comparison baseline versus treatment: ß = 0.233, SE = 0.084, z = 2.76, P = 0.006).
I considered each school carefully, one at a time, as I tried to determine whether it was The One. Familiarity was one consideration.
Consumers crave two things: familiarity and novelty.
This difference is explained through the two groups' familiarity with test-taking.
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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