Folded additive structures: A nonpolynomial model of some factorial interactions
dc.contributor.author | Lehner, Paul E. | en_US |
dc.date.accessioned | 2006-04-07T18:07:20Z | |
dc.date.available | 2006-04-07T18:07:20Z | |
dc.date.issued | 1981-04 | en_US |
dc.identifier.citation | Lehner, Paul E. (1981/04)."Folded additive structures: A nonpolynomial model of some factorial interactions." Journal of Mathematical Psychology 23(2): 99-114. <http://hdl.handle.net/2027.42/24405> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6WK3-4D7JNFT-77/2/1e7e9ca230ffb2e932a76fa5e6b383d0 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/24405 | |
dc.description.abstract | A nonpolynomial measurement model for representing nonadditive compositions of stimulus dimensions is presented. This representation, which is referred to as a folded additive structure, permits the decomposition of a behavioral ordering into independent factors in some of the cases where the behavior itself does not directly reflect this independence. Psychologically, this representation corresponds to a model of behavior which assumes that (1) the effect stimulus attributes have on behavior is mediated by a single relevent psychological dimension, (2) the behavioral ordering is single-peaked over this mediating dimension and (3) the mediating dimension has a conjoint additive ordering over a set of relevent stimulus dimensions. Necessary and sufficient tests for folded additive structures are given. In addition, five psychological theories which make these assumptions are discussed. | en_US |
dc.format.extent | 900301 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Folded additive structures: A nonpolynomial model of some factorial interactions | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/24405/1/0000675.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0022-2496(81)90052-3 | en_US |
dc.identifier.source | Journal of Mathematical Psychology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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