Evaluation of unconstrained sorting data |
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Authors: | Chris T Bersted Bill R Brown Selby H Evans |
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Institution: | 1. Texas Christian University, 76129, Fort Worth, Texas
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Abstract: | Two statistics are offered for evaluating unconstrained sorting performance in a specific task when categories are E-defined. One statistic is based upon empirically estimated sampling distributions and can be used for determining sorting performance significantly deviant from chance for any number of S-defined categories; the second statistic can be used to evaluate consistencies between S- and E-defined categories, regardless of the number of categories used by S. The present procedure provides a statistical basis for evaluation of performance where no adequate evaluation procedures are now available. |
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