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It contained both three and four option items.
Hence, most teacher-developed MCQs in health-science disciplines are either four- or five option items.
The baseline survey included structured, fixed-response option items assessing participant educational, occupational and marital status, household composition, pregnancy health and two screening questions for experiences of intimate partner violence.
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This setting is system wide, so editing "Folder Option" item will affect all folders.
The idea is that, for each multiple-choice item, short RTs that are connected with a P + near the chance level (i.e., 0.2 for five-option items and 0.25 for four-option items) are likely to involve rapid-guessing behavior.
Generally in studies supporting the use of 3-option items, there is a marked tendency for researchers to cite the savings and other benefits which can be achieved by reducing tests to 3-option items.
Nevertheless, to support his endorsement of 3-option items, he felt it necessary to review the practical arguments in their favour to support their worth, notably that less time is needed to prepare two plausible distractors than three or four distractors, and that more 3-option items can be administered per unit of time than 4- or 5-option items, potentially improving content coverage.
There was also a reduction in 'formula scores' (i.e. scores adjusted to eliminate the effect of guessing) associated with the move from 5- to 4-option items.
There was some support for this tendency from the comparison of individual item facility values in the reading section where the 5-option items were noted to have been consistently more difficult than the 3-option items, although this was not found to be statistically significant.
The 3-option items produced the highest number of AENO values between k-0.5 and k, 15 among the structure items and five among the reading items, with the 4- and 5-option items producing only five and three respectively for the structure items and one each for the reading items.
Based on the identified themes, we developed a series of Likert scale and multiple-option items reflecting the most common reading and typing tasks reported on a cell phone (Table 1).
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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