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To further examine the acceptability of the survey and to minimise skipped or misunderstood items, we asked the first 14 participants (11 returns) to provide feedback on the content, format and response burden.
In developing the Bio items, we focused in particular on learning outcomes shared by all participating sections of MCB 181R; when seeking feedback from instructors about these items, we asked that instructors discuss whether their postcourse students should be able to answer the items correctly given the items' content and wording.
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In one open-response test item, we asked students to describe what had occurred in the hypothetical situations in the pre- and post tests to elicit descriptions of the process of natural selection (Question 15, Appendix 1).
For each item, we ask, "How important is this statement to your decision about transplant/living donor transplant?" Sample statements include "I would live a longer life with a transplant" (Pro of transplant) and "I will feel guilty having someone donate to me" (Con of LDKT).
There are 17 items and we asked participants to rate each item as either 'True' or 'False'.
Finally, rather than using a yes-no item format, we asked participants to rate the extent to which they agreed with each of the 17 items on a 9-point scale from 0 (do not agree at all) to 8 (agree extremely).
In questionnaire item (1), we asked the evaluators to distinguish if the question is human-made or machine-generated using the 1 5-point scale.
With item U8 we asked for reasons for the low utilization previously identified in the field observation.
We wanted to hear from the horse's mouth what some of the most essential back to school items were, so we asked a few college students from all over to weigh in on the items that are on their shopping list.
Initially, I wondered about what kind of tangible items we could ask people to give us in exchange for small items like paper clips and cat pins.
For items containing two concepts, we asked respondents whether concepts should remain together or be separated into two questions.
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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