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A General Approach for Representing Constructs in Organizational Research

dc.contributor.authorBagozzi, Richard P.en_US
dc.contributor.authorEdwards, Jeffrey R.en_US
dc.date.accessioned2010-04-14T13:55:19Z
dc.date.available2010-04-14T13:55:19Z
dc.date.issued1998en_US
dc.identifier.citationBagozzi, Richard; Edwards, Jeffrey (1998). "A General Approach for Representing Constructs in Organizational Research." Organizational Research Methods 1(1): 45-87. <http://hdl.handle.net/2027.42/68713>en_US
dc.identifier.issn1094-4281en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/68713
dc.description.abstractA key assumption underlying methods of construct validation is that constructs and their indicators are represented at the appropriate depth (i.e., the specificity versus generality of constructs and their indicators). This article presents a framework that depicts constructs and indicators at various depths and provides guidelines for choosing from among these depths. The framework is then integrated with methods of construct validation based on the confirmatory factor analysis of multitrait-multimethod (MTMM) matrices. The authors apply these methods to the measurement of work values, using the Work Aspect Preference Scale (WAPS). Results show that the WAPS performs better when used to represent relatively specific work values as opposed to more global, general values. Further analyses supported the generalizability of the WAPS factor structure for men and women, although gender differences were found on structured means for several latent value dimensions.en_US
dc.format.extent3108 bytes
dc.format.extent4523594 bytes
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dc.publisherSage Publicationsen_US
dc.titleA General Approach for Representing Constructs in Organizational Researchen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan Business Schoolen_US
dc.contributor.affiliationotherUniversity of North Carolinaen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/68713/2/10.1177_109442819800100104.pdf
dc.identifier.doi10.1177/109442819800100104en_US
dc.identifier.sourceOrganizational Research Methodsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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