Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/31812
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Type: Journal article
Title: Signed difference analysis: Theory and application
Author: Dunn, J.
James, R.
Citation: Applied Cognitive Psychology, 2003; 47(4):389-416
Publisher: John Wiley & Sons Ltd
Issue Date: 2003
ISSN: 0888-4080
0022-2496
Statement of
Responsibility: 
John C. Dunn and Ralph N. James
Abstract: Psychological constructs can only be measured indirectly in terms overt behavior, often by means of changes in the level of performance on tasks they are presumed to affect. However, the exact relationship between constructs and the tasks they are presumed to affect is usually not known, which often requires non-essential auxiliary assumptions to be added to a psychological model to allow it to contact the data. Signed difference analysis is a method of deriving testable consequences from psychological models under the general assumption that the relationship between task performance and the constructs or combinations of constructs postulated by the model is at least monotonic. The predictions derived using signed difference analysis do not depend upon estimation of either model parameters or explicit functional relationships. In the present paper, the mathematical theory of signed difference analysis is presented and applied to illustrative problems drawn from research in memory, spatial attention, and reading. The relationships between signed difference analysis and related inferential procedures such as conjoint measurement, state-trace analysis, and double dissociation are discussed.
Description: Copyright © 2003 Elsevier Inc. All rights reserved.
DOI: 10.1016/S0022-2496(03)00049-X
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/622887/description#description
Appears in Collections:Aurora harvest 6
Psychology publications

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