Understanding stakeholder values using cluster analysis

dc.contributor.authorKaval, Pamela
dc.date.accessioned2008-12-14T20:53:05Z
dc.date.available2008-12-14T20:53:05Z
dc.date.issued2007-08
dc.description.abstractThe K-Means and Ward’s Clustering procedures were used to categorize value similarities among respondents of a public land management survey. The clustering procedures resulted in two respondent groupings: an anthropocentrically focused group and an ecocentrically focused group. While previous studies have suggested that anthropocentric and ecocentric groups are very different, this study revealed many similarities. Similarities between groups included a strong feeling towards public land and national forest existence as well as the importance of considering both current and future generations when making management decisions for public land. It is recommended that land managers take these similarities into account when making management decisions. It is important to note that using the Ward’s procedure for clustering produced more consistent groupings than the K-Means procedure and is therefore recommended when clustering survey data. K-Means only showed consistency with datasets of over 500 observations.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.citationKaval, P. (2007). Understanding stakeholder values using cluster analysis. (Department of Economics Working Paper Series, Number 16/07). Hamilton, New Zealand: University of Waikato.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1609
dc.language.isoen
dc.publisherWaikato Management Schoolen_NZ
dc.relation.isPartOfWorking Paper in Economicsen_NZ
dc.relation.ispartofseriesDepartment of Economics Working Paper Series
dc.subjectCluster analysisen_US
dc.subjectWard’s hierarchy methoden_US
dc.subjectK-Meansen_US
dc.subjectpublic land managementen_US
dc.subjectstakeholdersen_US
dc.subjectecocentricen_US
dc.subjectanthropocentricen_US
dc.titleUnderstanding stakeholder values using cluster analysisen_US
dc.typeWorking Paperen_US
pubs.elements-id53451
uow.relation.series16/07
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