Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Methodology steps for developing the survey.

More »

Fig 1 Expand

Table 1.

Attributes and levels for the discrete choice experiment and swing-weighting.

More »

Table 1 Expand

Fig 2.

Feedback scores from respondents completing the discrete choice experiment (DCE) and swing-weighting (SW).

White = Ease of understanding the DCE; Light grey = Ease of answering the DCE; Dark grey = Ease of understanding the SW; Black = Ease of answering the SW; Respondents answered on a scale from 1 to 6, 1 being the most difficult and 6 being the easiest; Low health numeracy scored below 9.83 (the mean) on the SNS-3; High health numeracy scored above 9.83 (the mean) on the SNS-3; Health literacy questions are scored 1–5 with the middle question inversed—Low health literacy identified by a score of >3 on any item; High health literacy scored <2 on any item (see Louis et al, 2016 [32]).

More »

Fig 2 Expand

Table 2.

Attribute-level estimates for the discrete choice experiment mixed-logit model.

More »

Table 2 Expand

Table 3.

Swing weighting preference weights, calculated through both point allocation and the rank order centroid (ROC) method.

More »

Table 3 Expand

Fig 3.

Proportion of attribute importance relative to sum of all attributes’ importance (DCE and SW calculated through both ROC and PA.

DCE = discrete choice experiment; SW = swing weighting; PA = point allocation; ROC = rank order centroid method.

More »

Fig 3 Expand