File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A new way of developing semantic differential scales with personal construct theory

TitleA new way of developing semantic differential scales with personal construct theory
Authors
KeywordsConfirmatory Factor Analysis
Exploratory Factor Analysis
Full Grid Technique
Personal Construct Theory
Semantic Differential Scale
Issue Date2008
PublisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01446193.asp
Citation
Construction Management And Economics, 2008, v. 26 n. 11, p. 1213-1226 How to Cite?
AbstractMeasurement is a fundamental issue in management research. However, traditional scale development methods have the drawback of mixing researchers' bias with the scale design. Based on Ding et al.'s (2007) exploratory work, a new way to develop semantic differential measurement scales is proposed and tested with a survey in the context of the construction industry. The purpose is to provide researchers and practitioners with a new method to develop semantic differential scales for measurement while the bias from their own perspective can be reduced. The reliability and validity of semantic differential scales according to the new method are tested with SPSS and Amos 6.0. The results show that the generated semantic differential scales with this method have high reliability and validity. The new way to develop semantic differential scales offers researchers and practitioners one more choice of scale development. The general application of this new method to other contexts is yet to be tested.
Persistent Identifierhttp://hdl.handle.net/10722/168768
ISSN
2015 SCImago Journal Rankings: 0.967
References

 

DC FieldValueLanguage
dc.contributor.authorDing, Zen_US
dc.contributor.authorNg, Fen_US
dc.date.accessioned2012-10-08T03:32:14Z-
dc.date.available2012-10-08T03:32:14Z-
dc.date.issued2008en_US
dc.identifier.citationConstruction Management And Economics, 2008, v. 26 n. 11, p. 1213-1226en_US
dc.identifier.issn0144-6193en_US
dc.identifier.urihttp://hdl.handle.net/10722/168768-
dc.description.abstractMeasurement is a fundamental issue in management research. However, traditional scale development methods have the drawback of mixing researchers' bias with the scale design. Based on Ding et al.'s (2007) exploratory work, a new way to develop semantic differential measurement scales is proposed and tested with a survey in the context of the construction industry. The purpose is to provide researchers and practitioners with a new method to develop semantic differential scales for measurement while the bias from their own perspective can be reduced. The reliability and validity of semantic differential scales according to the new method are tested with SPSS and Amos 6.0. The results show that the generated semantic differential scales with this method have high reliability and validity. The new way to develop semantic differential scales offers researchers and practitioners one more choice of scale development. The general application of this new method to other contexts is yet to be tested.en_US
dc.languageengen_US
dc.publisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01446193.aspen_US
dc.relation.ispartofConstruction Management and Economicsen_US
dc.subjectConfirmatory Factor Analysisen_US
dc.subjectExploratory Factor Analysisen_US
dc.subjectFull Grid Techniqueen_US
dc.subjectPersonal Construct Theoryen_US
dc.subjectSemantic Differential Scaleen_US
dc.titleA new way of developing semantic differential scales with personal construct theoryen_US
dc.typeArticleen_US
dc.identifier.emailNg, F:hrrbnff@hku.hken_US
dc.identifier.authorityNg, F=rp01014en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/01446190802527522en_US
dc.identifier.scopuseid_2-s2.0-57449111868en_US
dc.identifier.hkuros162845-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57449111868&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume26en_US
dc.identifier.issue11en_US
dc.identifier.spage1213en_US
dc.identifier.epage1226en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridDing, Z=21933486700en_US
dc.identifier.scopusauthoridNg, F=7103125640en_US
dc.identifier.citeulike3780287-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats