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Toward a Methodology for the Measurement of Knowledge Structures of Ordinary People

dc.contributor.authorKearney, Anne R.en_US
dc.contributor.authorKaplan, Stephenen_US
dc.date.accessioned2010-04-13T18:51:17Z
dc.date.available2010-04-13T18:51:17Z
dc.date.issued1997en_US
dc.identifier.citationKearney, Anne; Kaplan, Stephen (1997). "Toward a Methodology for the Measurement of Knowledge Structures of Ordinary People." Environment and Behavior 29(5): 579-617. <http://hdl.handle.net/2027.42/66794>en_US
dc.identifier.issn0013-9165en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/66794
dc.description.abstractMental models guide people's perceptions, decisions, and behavior regarding environmental problems and other issues. Hence, understanding these models would aid in understanding how people perceive problems, in determining how information may be most effectively shared, and in designing strategies for behavior change. Given this need for assessment, it would be helpful to expand the repertoire of available measurement approaches. The 3CM method, based on an extended theory of cognitive maps, is proposed as a new approach to assessing people's mental models. This approach is unique in its emphasis on the notion of "ownership" of the concepts that serve as landmarks in the cognitive map. Two recently developed implementations of the approach, each suited to different contexts and purposes, are described. Preliminary results suggest that the approach meets the criteria of construct validity, of being user friendly, and of providing information complementary to that obtained using traditional measures.en_US
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dc.format.extent3835666 bytes
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dc.publisherSage Publicationsen_US
dc.titleToward a Methodology for the Measurement of Knowledge Structures of Ordinary Peopleen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michiganen_US
dc.contributor.affiliationotherCollege of Forest Resources, University of Washingtonen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/66794/2/10.1177_0013916597295001.pdf
dc.identifier.doi10.1177/0013916597295001en_US
dc.identifier.sourceEnvironment and Behavioren_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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