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Questions were ranked in order of the highest RPS.
Questions were ranked in order with the highest RPS.
Responses to the questions were ranked on ordinal scales, with four or five response options.
Responses to the questions were ranked on ordinal scales, and responses were to be relevant for the current school year.
Questions were ranked from one (top rank, highest average overall score) to 18 (lower rank, lowest average overall score).
Responses to the questions were ranked on ordinal scales, with four or five response options (see Figure 1).
Similar(49)
The questions are ranked in order of how effective they are at sorting people.
Answers to the questions are ranked from 0 (inability to perform activity) to 5 (no difficulty with activity).
Responses to each question were ranked from 0 to 3 according to the probability of dozing off/fall asleep in the different situations (0 = never, 1 = low probability, 2 = moderate probability, 3 = high probability).
Imagine you're analyzing survey results about "brand loyalty" looking at data from a five-question survey, where each question was ranked using a seven-point Likert scale.
Namely, the resulting correlation coefficient will give us some information about the way scores on the variables in question are ranked.
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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