Measuring episodic memory: a novel approach with an indefinite number of alternative forms

Humphreys, Michael S. and Smith, Simon and Pachana, Nancy A. and Tehan, Gerry and Byrne, Gerard J. (2010) Measuring episodic memory: a novel approach with an indefinite number of alternative forms. Applied Cognitive Psychology, 24 (8). pp. 1080-1094. ISSN 0888-4080

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Abstract

Both clinical practice and clinical research settings can require successive administrations of a memory test, particularly when following the trajectory of suspected memory decline in older adults. However, relatively few verbal episodic memory tests have alternative forms. We set out to create a broad based memory test to allow for the use of an essentially unlimited number of alternative forms. Four tasks for inclusion in such a test were developed. These tasks varied the requirement for recall as opposed to recognition, the need to form an association between unrelated words, and the need to discriminate the most recent list from earlier lists, all of which proved useful. A total of 115 participants completed the battery of tests and were used to show that the test could differentiate between older and younger adults; a sub-sample of 73 participants completed alternative forms of the tests to determine test-retest reliability and the amount of learning to learn.

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Item Type:	Article (Commonwealth Reporting Category C)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	First published online 22 June 2009. Accepted Version deposited in accordance with the copyright policy of the publisher (Wiley).
Faculty / Department / School:	Historic - Faculty of Sciences - Department of Psychology
Date Deposited:	02 Jan 2011 06:34
Last Modified:	02 Jul 2013 23:22
Uncontrolled Keywords:	memory test; ageing; episodic memory; working memory
Fields of Research :	17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170201 Computer Perception, Memory and Attention 17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170205 Neurocognitive Patterns and Neural Networks 11 Medical and Health Sciences > 1109 Neurosciences > 110999 Neurosciences not elsewhere classified
Socio-Economic Objective:	E Expanding Knowledge > 97 Expanding Knowledge > 970117 Expanding Knowledge in Psychology and Cognitive Sciences
Identification Number or DOI:	doi: 10.1002/acp.1591
URI:	http://eprints.usq.edu.au/id/eprint/5593

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