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The scale component represents unobservable but systematic variation in respondent choice.
The lower probability of respondents simplifying orthogonal design choice tasks indicates that these choice tasks are on average less cognitively demanding and less likely to induce respondent choice inconsistencies.
42 The model coefficients indicate the relative importance of each attribute level in explaining respondent choice.
For all cadres, the predicted choice was within at least six percentage points of actual respondent choice.
Qualitative data, i.e. brief narratives explaining respondent choice of SRH response alternatives or number of cubes, were translated into English and studied with content analysis technique.
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Potential benefits are evoked (greater realism in tasks), but drawbacks (e.g. unintended information affecting respondent choices) are also discussed.
The gender of the service provider and the availability of music and drama as a youth-friendly service component did not appear to influence respondent choices.
The evidence of this pattern under differing attribute trade-off assumptions suggests that the benefits of greater information collected through efficient designs outweighs the potential noise created by inconsistent respondent choices due to cognitively more complex efficient designs.
It is unclear how this approach to representation affected respondent choices.
18 21 Each item of the RS-14 is scored on a seven-point Likert scale with respondent choices ranging from 1 (strongly disagree) to 7 (strongly agree).
The results showed that all attribute-levels except management by external NGO significantly influenced respondents' choice behavior (P < 0.05).
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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