Your English writing platform
Discover LudwigSuggestions(1)
Exact(60)
The same 80 food items, but a different picture of each item, were used in each experimental session.
The programming showed a good sense of contrast; the spoken introductions before each item were intelligently done, providing plenty of context.
The scoring system was: 3 points for high severity, 2 points for medium level, 1 point for small degree, and 0 points for asymptomatic; the points for each item were compared.
In addition, frequency statistics of each item were computed.
Scores for each item were reported as bars with assorted colors, lengths and numbers (Fig. 2).
The scores for each item were summed to produce a single overall score.
Responses for each item were summed to generate an overall score for negative substance use consequences.
The descriptive statistics (mean and standard deviations) for each item were calculated.
Response frequencies for each item were calculated and entered anonymously into a database.
Test retest data on each item were analyzed using interclass correlation.
The corresponding mean values of preparedness and importance for each item were compared with paired-samples t-tests.
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