{"pk":25538,"title":"Exploring Individual Differences via Clustering Capacity Coefficient Functions","subtitle":null,"abstract":"The capacity coefficient function is a well-established, modelbased\nmeasure comparing performance with multiple sources\nof information together to performance on each of those information\nsources in isolation. Because it is a function across\ntime, it may contain a large amount of information about a\nparticipant. In many applications, this information has been ignored,\neither by using qualitative assessment of the function or\nby using a single summary statistic. Recent work has demonstrated\nthe efficacy of functional principal components analysis\nfor extracting important information about the capacity function.\nWe extend this work by applying clustering techniques to\nexamine individual capacity differences in configural learning.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Configural Learning; Individual Differences; Capacity\nCoefficient; Human Information Processing Modeling"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/6cc055b2","frozenauthors":[{"first_name":"Joseph","middle_name":"W","last_name":"Houpt","name_suffix":"","institution":"Wright State University","department":""},{"first_name":"Leslie","middle_name":"M","last_name":"Blaha","name_suffix":"","institution":"Air Force Research Laboratory","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25538/galley/15162/download/"}]}