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Likewise, two experts had novice-level card sort scores (<0).
The first exercise she completed was a values card sort.
Overall, card sort scores derived from judgments of card sort rules were highly predictive of social expertise level (e.g., evolutionary biologist or student).
However, none of the problems employed in our card sort task incorporated visual or conceptual diagrams.
Finally, we quantified card sort patterns with problem solving performance (as discussed below).
In the current study we assess whether the website's structure still matches user needs, again via a card sort study.
The website's content was based on existing protocols and its structure was based on a card sort study.
A card sort is most often used to inform or guide the development of the information architecture of a product.
In addition, those with poor insight had higher levels of perseverative errors (PEs) on the Wisconsin Card Sort Test (WCST).
In addition to our exploration of individual card sort rules and their use by experts and novices, we quantified card sort performance by scoring categorization features as expert (+1) or novice (−1; as discussed above and illustrated in Table 1).
The individuals who recognized such distinctions in the card sort tasks were much more likely to successfully solve evolutionary problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com