02722nam 2200649 a 450 991078241110332120230213211743.00-8166-6865-50-8166-6263-0(CKB)1000000000689962(EBL)345500(OCoLC)476162188(SSID)ssj0000283232(PQKBManifestationID)11194950(PQKBTitleCode)TC0000283232(PQKBWorkID)10337523(PQKB)10378701(SSID)ssj0000229800(PQKBManifestationID)11203816(PQKBTitleCode)TC0000229800(PQKBWorkID)10172614(PQKB)10564806(MiAaPQ)EBC345500(Au-PeEL)EBL345500(CaPaEBR)ebr10231288(CaONFJC)MIL526415(EXLCZ)99100000000068996219810826d1982 uy 0engur|n|---|||||txtccrProximity and preference[electronic resource] problems in the multidimensional analysis of large data sets /Reginald G. Golledge, John N. Rayner, editorsMinneapolis University of Minnesota Pressc19821 online resource (356 p.)Description based upon print version of record.0-8166-1042-8 Includes bibliographical references and index.pt. 1. Experimental design and measurement problems -- pt. 2. Preference functions and choice behavior -- pt. 3. Special problems.How does one design experiments for collecting large volumes of data such as those needed for marketing surveys, studies of travel patterns, and public opinion polls? This is a common problem for social and behavioral scientists. The papers in this collection address the problems of working with large data sets primarily from the perspectives of geography and psychology, two fields that share a common quantitative research methodology. After an introductory paper on substantive and methodological aspects of the interface between geography and psychology, the book is divided into three sectionsGeographical perceptionSpace perceptionMultidimensional scalingGeographical perception.Space perception.Multidimensional scaling.910Golledge Reginald G.1937-273965Rayner John N1542915MiAaPQMiAaPQMiAaPQBOOK9910782411103321Proximity and preference3796074UNINA