Description Usage Arguments Details Value References Examples
Calculate best-worst scores for each respondent-item combination. This uses the walkscoring method described in White (2019).
1 | walkscoring(data, id, block, item, choice, walks = 10000, wide = FALSE)
|
data |
A data.frame of the type described in details. |
id |
A string of the name of the id column. |
block |
A string of the name of the block column. |
item |
A string of the name of the item column. |
choice |
A string of the name of the choice column. |
walks |
Integer indicating how many random walks to simulate. |
wide |
Logical of whether or not one wants the data returned in long (each row is an item-respondent combination and all best-worst scores are in the same column) format (FALSE) or in wide format (where each row is a respondent, and the best-worst scores for the items are in their own columns). See the 'indiv' data as an example. |
This function requires data to be in a specified format. Each row must represent a respondent-block-label combination. That is, it indicates the person, the block (or trial), the item that was judged, and a column indicating whether it was chosen as best (+1), worst (-1), or wasn't selected as either (0).
A data.frame containing the id and item columns as well as a "walk" column that indicates the best worst score. If 'wide = TRUE', then each item has its own column and the walkscore is filled-in those columns.
White, M. H., II. (2019). bwsTools: An R package for case 1 best-worst scaling. Retrieved from https://osf.io/xftvq/
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