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Modelling Synergy using Manifest Categorical Variables
dc.contributor.authorvon Eye, Alexanderen_US
dc.contributor.authorSchuster, Christofen_US
dc.contributor.authorRogers, Williamen_US
dc.date.accessioned2010-04-13T18:35:52Z
dc.date.available2010-04-13T18:35:52Z
dc.date.issued1998en_US
dc.identifier.citationvon Eye, Alexander; Schuster, Christof; Rogers, William (1998). "Modelling Synergy using Manifest Categorical Variables." International Journal of Behavioral Development 22(3): 537-557. <http://hdl.handle.net/2027.42/66523>en_US
dc.identifier.issn0165-0254en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/66523
dc.description.abstractThis paper discusses methods to model the concept of synergy at the level of manifest categorical variables. First, a classification of concepts of synergy is presented. A dditive and nonadditive concepts of synergy are distinguished. Most prominent among the nonadditive concepts is superadditive synergy. Examples are given from the natural sciences and the social sciences. M delling focuses on the relationship between the agents involved in a synergetic process. These relationships are expressed in form of contrasts, expressed in effect coding vectors in design matrices for nonstandard log-linear models. A method by Schuster is used to transform design matrices such that parameters reflect the proposed relationships. A n example reanalyses data presented by Bishop, Fienberg, and Holland (1975) that describe the development of thromboembolisms in women who differ in their patterns of contraceptive use and smoking. Alternative methods of analysis are com pared. Implications for developmental research are discussed.en_US
dc.format.extent3108 bytes
dc.format.extent324742 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherSage Publicationsen_US
dc.titleModelling Synergy using Manifest Categorical Variablesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMichigan State University, USAen_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationumMichigan State University, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/66523/2/10.1080_016502598384261.pdf
dc.identifier.doi10.1080/016502598384261en_US
dc.identifier.sourceInternational Journal of Behavioral Developmenten_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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