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Application of a one-element model with response elimination to paired-associate learning data.

dc.contributor.advisorLink, S. W.en_US
dc.contributor.authorFowles, Elizabeth Dianaen_US
dc.contributor.departmentPsychologyen_US
dc.date.accessioned2014-06-18T16:47:19Z
dc.date.available2014-06-18T16:47:19Z
dc.date.created2011-06-07en_US
dc.date.issued1969-10en_US
dc.description.abstract<p>This study investigates a response elimination model of paired-associate learning. The structure of the model is identical to that of the one-element model except that the assumption of the latter of a constant probability of guessing before learning is replaced by an assumption that subjects guess from a pool of unassociated responses. It is found that the response elimination model fails to provide an exact description of performance before learning, although it does improve on the one-element model. A three-state model is also investigated and it is found that with four parameters much of the data can be accounted for.</p>en_US
dc.description.degreeMaster of Arts (MA)en_US
dc.identifier.otheropendissertations/4610en_US
dc.identifier.other5629en_US
dc.identifier.other2049920en_US
dc.identifier.urihttp://hdl.handle.net/11375/9492
dc.subjectPsychologyen_US
dc.subjectPsychologyen_US
dc.titleApplication of a one-element model with response elimination to paired-associate learning data.en_US
dc.typethesisen_US

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