Determination of medicine and dentistry students? Market choice and their attitudes in preferring brand name products using binary logistics regression method

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dc.contributor.authorAkkus Z.
dc.contributor.authorSatici O.
dc.contributor.authorSanisoglu S.Y.
dc.contributor.authorAkyol M.
dc.contributor.authorKeskin S.
dc.date.accessioned2024-04-24T18:45:49Z
dc.date.available2024-04-24T18:45:49Z
dc.date.issued2012
dc.departmentDicle Üniversitesien_US
dc.description.abstractThe aim of this study is to determine Medicine and Dentistry students' market choices and their attitude in buying brand name products. Currently, price and quality of products in hypermarkets are the common features consumers care when shopping. It is well known that many people prefer cheap and quality products and maintain a relative attitude due to increasing economic difficulties. 229 medicine and 222 dentistry (totally 451) students comprise the samples of this study. A poll of 28 questions was conducted to determine the preferences of the students in shopping. Taking market preferences as dependent variable, and other related variables as independent, the parameters affecting market preferences are analyzed with Binary Logistic Regression Method. To the question "Which market do you prefer in shopping?", 155 students (%34,4) replied BIM, 138 of them (%30.8) replied Grocer's, 88 of them (%19.5) replied Migros, 70 of them (%15.5) said Carrefoursa is the market they prefer in shopping. As result of the survey, in the first and second analysis, correct classification rates have been found to be 81.6% and 76.3% respectively. It has been found out that the most effective parameters in preferring markets for shopping are age, father's education, type of accommodation (house, dorms, with parents, etc.), buying the markets' brand name products, selling quality products, product variety, market's being modern and spacious. In field works, because it produces more reliable results than both univariate logistic analysis and other statistical analysis when the variables representing the data are discrete variables, multivariate logistic regression analysis is considered to be the best method to be used.en_US
dc.identifier.endpage178en_US
dc.identifier.issn1309-100X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84875263935
dc.identifier.scopusqualityQ3
dc.identifier.startpage173en_US
dc.identifier.urihttps://hdl.handle.net/11468/24900
dc.identifier.volume5en_US
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.relation.ispartofJournal of International Dental and Medical Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBinary Logistic Regressionen_US
dc.subjectMarket Preferenceen_US
dc.titleDetermination of medicine and dentistry students? Market choice and their attitudes in preferring brand name products using binary logistics regression methoden_US
dc.titleDetermination of medicine and dentistry students? Market choice and their attitudes in preferring brand name products using binary logistics regression method
dc.typeArticleen_US

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