Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches
In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than...
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| Veröffentlicht in: | Journal of geographical systems 2002-12, Vol.4 (4), p.343-358 |
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| creator | MOLIN, Eric J. E OPPEWAL, Harmen TIMMERMANS, Harry J. P |
| description | In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences. |
| doi_str_mv | 10.1007/s101090200091 |
| format | Article |
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E ; OPPEWAL, Harmen ; TIMMERMANS, Harry J. P</creator><creatorcontrib>MOLIN, Eric J. E ; OPPEWAL, Harmen ; TIMMERMANS, Harry J. P</creatorcontrib><description>In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences.</description><identifier>ISSN: 1435-5930</identifier><identifier>EISSN: 1435-5949</identifier><identifier>DOI: 10.1007/s101090200091</identifier><language>eng</language><publisher>Berlin: Springer</publisher><subject>Areal geology. Maps ; Conjoint analysis ; Decision making ; Design ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Experiments ; Geologic maps, cartography ; Households ; Housing ; Hypotheses ; Internal validity ; Preferences ; Validity</subject><ispartof>Journal of geographical systems, 2002-12, Vol.4 (4), p.343-358</ispartof><rights>2003 INIST-CNRS</rights><rights>Copyright Springer-Verlag 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c304t-a071fd256d430f4cb0035096f1654a7f7abaaf2c7f8f9a7d212c2e6a8ec1d453</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14710679$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>MOLIN, Eric J. E</creatorcontrib><creatorcontrib>OPPEWAL, Harmen</creatorcontrib><creatorcontrib>TIMMERMANS, Harry J. P</creatorcontrib><title>Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches</title><title>Journal of geographical systems</title><description>In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences.</description><subject>Areal geology. 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E</au><au>OPPEWAL, Harmen</au><au>TIMMERMANS, Harry J. P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches</atitle><jtitle>Journal of geographical systems</jtitle><date>2002-12-01</date><risdate>2002</risdate><volume>4</volume><issue>4</issue><spage>343</spage><epage>358</epage><pages>343-358</pages><issn>1435-5930</issn><eissn>1435-5949</eissn><abstract>In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences.</abstract><cop>Berlin</cop><pub>Springer</pub><doi>10.1007/s101090200091</doi><tpages>16</tpages></addata></record> |
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| subjects | Areal geology. Maps Conjoint analysis Decision making Design Earth sciences Earth, ocean, space Exact sciences and technology Experiments Geologic maps, cartography Households Housing Hypotheses Internal validity Preferences Validity |
| title | Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches |
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