Sentence examples for card group from inspiring English sources

In this section, we describe the development of the card sorting task, the implementation of the task, and the multiple new analytical approaches developed to quantify card sorting differences within and across participant populations with regard to: constructed card groupings, constructed card group names, and responses to reflective prompts.

As described in Methods, comparisons between constructed card groupings were accomplished by identifying all the card pairs that existed within a card group for each of the groups generated by an individual participant.

As described in Methods, comparisons between the names given to constructed card groupings by non biology majors and biology faculty were accomplished through blind coding of the card group names for the presence of hypothesized deep features or hypothesized surface features.

Given our desire to make this assessment tool useful with large groups of students, we have also developed companion analytical techniques that enable automated, quantitative analysis of card groupings, as well as rubrics to enable blind scoring of the qualitative data that are generated as card group names and rationales for sorting strategies.

Then he had a card group that would assemble every couple of months and play poker.

She is a director of new product development for the consumer card group at American Express in New York.

The card groups said it was a coincidence that the increase, spurred by competition and rising costs, is coming on the same day as the debit change.

The data sets generated by conducting the Biology Card Sorting Task are large and complex, including the card groups themselves, the names for the card groups, and the individuals' narrative responses about their sorting strategies for the two task conditions.

The average number of card groups generated in the unframed task by non biology majors (5.3 ± 0.2, n = 101) was significantly fewer than the number generated by biology faculty (6.5 ± 0.3, n = 23; p = 0.0011).

For all four hypothesized deep features, a significantly larger proportion of biology faculty (n = 23) used each hypothesized deep feature in naming one or more of their card groups as compared with non biology majors (n = 101).

For all four surface features, a significantly larger proportion of non biology majors (n = 101) used each hypothesized surface feature in naming one or more of their card groups as compared with biology faculty (n = 23).