A statistical approach to web usability analysis

Basit Öğe Kaydı
dc.contributor.advisorPerdahçı, Nazım Ziyaen_US
dc.contributor.authorGiritli, Efe Baturen_US
dc.contributor.otherIşık Üniversitesi, Fen Bilimleri Enstitüsü, Enformasyon Teknolojileri Yüksek Lisans Programıen_US
dc.date.accessioned2016-06-01T08:38:37Z
dc.date.available2016-06-01T08:38:37Z
dc.date.issued2007
dc.departmentIşık Üniversitesi, Fen Bilimleri Enstitüsü, Enformasyon Teknolojileri Yüksek Lisans Programıen_US
dc.descriptionText in English ; Abstract: English and Turkishen_US
dc.descriptionIncludes bibliographical references (leaves 62)en_US
dc.descriptionx, 62 leavesen_US
dc.description.abstractA survey is conducted on 35 experienced Internet users to asset the usability of Turkish e-Commerce Web sites. The data is collected using a 28 questions survey consisting of three categories. ANOVA method is used for the analysis of the survey data. The analysis indicate that the first category that includes questions about the usability of Web sites include three subcategories for both of the web sites as far as the usability is concerned. According to the survey, in general, even advanced Internet users find Turkish e-Commerce sites slightly useable.en_US
dc.description.abstract5 kişi üzerinde gerçekleştirilen bir anket ile Türkiye'deki e-ticaret sitelerinin bir kullanılabilirlik değerlendirilmesi yapılmıştır. Üç ayrı kategori ve toplam 28 sorudan oluşan bir anket ile veri toplanmıştır. Toplanan veriler ANOVA istatistiksel yöntemiyle analiz edilmiştir. Analiz sonuçları, anketin temelde kullanılabilirlik sorularından oluşan ilk kategorisinde, araştırma konusu olan her iki site için üç ayrı alt kategori olduğunu göstermiştir. Yapmış olduğumuz ankete istinaden genel olarak bakıldığında tecrübeli Internet kullanıcılarının dahi Türk e-ticaret sitelerini ancak çok az kullanışlı bulduğunu görüyoruz.en_US
dc.description.tableofcontentsINTRODUCTIONen_US
dc.description.tableofcontentsWEB USABILITYen_US
dc.description.tableofcontentsWHAT IS WEB USABILITY?en_US
dc.description.tableofcontentsWHY IS USABILITY IMPORTANT?en_US
dc.description.tableofcontentsWHAT IS THE DIFFERENCE BETWEEN USABILITY ENGINEERING AND USABILITY TESTING?en_US
dc.description.tableofcontentsWHAT STEPS ARE INVOLVED IN USABILITY?en_US
dc.description.tableofcontentsPlanning the Web Siteen_US
dc.description.tableofcontentsCollecting Data from Usersen_US
dc.description.tableofcontentsDeveloping Prototypesen_US
dc.description.tableofcontentsCollecting, Writing, or Revising Contenten_US
dc.description.tableofcontentsConducting Usability Testsen_US
dc.description.tableofcontentsContinuing to Assess the Site after It isen_US
dc.description.tableofcontentsWHAT IS A USABILITY TEST LIKE?en_US
dc.description.tableofcontentsHOW MANY PARTICIPANTS ARE NEEDED FOR A USABILITY TEST?en_US
dc.description.tableofcontentsWHY SHOULD WE DO ITERATIVE USABILITY TESTING?en_US
dc.description.tableofcontentsINTRODUCTION TO WEB ACCESSIBLITYen_US
dc.description.tableofcontentsWHAT IS WEB ACCESSIBILITY?en_US
dc.description.tableofcontentsWHY WEB ACCESSIBILITY IS IMPORTANT?en_US
dc.description.tableofcontentsMAKING THE WEB ACCESSIBLEen_US
dc.description.tableofcontentsESSENTIAL COMPONENTS OF WEB ACCESSIBILITYen_US
dc.description.tableofcontentsIntroductionen_US
dc.description.tableofcontentsHow Components Relate?en_US
dc.description.tableofcontentsInterdependencies between Componentsen_US
dc.description.tableofcontentsThe Implementation Cycleen_US
dc.description.tableofcontentsWhen One Component is Weaken_US
dc.description.tableofcontentsOPTIMAL WEB DESIGNen_US
dc.description.tableofcontentsHOW SHOULD INFORMATION BE POSITIONED IN A TYPICAL WEB SITE?en_US
dc.description.tableofcontentsHOW WEB SITE’S STRUCTURE CAN BE MORE NAVIGABLE?en_US
dc.description.tableofcontentsMETHODS FOR DESIGNING USABLE WEB SITESen_US
dc.description.tableofcontentsPLANNING THE SITEen_US
dc.description.tableofcontentsWhat is the Reason for Developing Web Sites?en_US
dc.description.tableofcontentsWho Should Come to the Site?en_US
dc.description.tableofcontentsWhen and Why They Will Come?en_US
dc.description.tableofcontentsCOLLECTING DATA FROM USERSen_US
dc.description.tableofcontentsWhat to Consider About Users?en_US
dc.description.tableofcontentsUnderstanding and Comparing Techniques for Gathering Data from Usersen_US
dc.description.tableofcontentsEARLY USABILITY TESTSen_US
dc.description.tableofcontentsCONTEXTUAL INTERVIEWSen_US
dc.description.tableofcontentsWHAT MAKES AN INTERVIEW SUCCESSFUL?en_US
dc.description.tableofcontentsCONDUCTING AND USING USABILITY TESTSen_US
dc.description.tableofcontentsWHAT IS USABILITY TESTINGen_US
dc.description.tableofcontentsTESTING GOALSen_US
dc.description.tableofcontentsWHAT ARE THE STEPS IN USABILITY TESTING?en_US
dc.description.tableofcontentsANALYSISen_US
dc.description.tableofcontentsTHE SURVEYen_US
dc.description.tableofcontentsThe Questionnaireen_US
dc.description.tableofcontentsTHE GRAPHICAL PRESENTATION OF THE RESULTSen_US
dc.description.tableofcontentsFREQUENCY DISTRIBUTION FOR THE FIRST CATEGORY OF HEPSIBURADAen_US
dc.description.tableofcontentsFREQUENCY DISTRIBUTION FOR THE SECOND CATEGORY OF HEPSIBURADAen_US
dc.description.tableofcontentsFREQUENCY DISTRIBUTION FOR THE THIRD CATEGORY OF HEPSIBURADAen_US
dc.description.tableofcontentsFREQUENCY DISTRIBUTION FOR THE FIRST CATEGORY OF KANGURUMen_US
dc.description.tableofcontentsFREQUENCY DISTRIBUTION FOR THE SECOND CATEGORY OF KANGURUMen_US
dc.description.tableofcontentsFREQUENCY DISTRIBUTION FOR THE THIRD CATEGORY OF KANGURUMen_US
dc.description.tableofcontentsTHE ANOVA TESTen_US
dc.description.tableofcontentsANOVA TEST FOR HEPSIBURADA CATEGORY 1en_US
dc.description.tableofcontentsANOVA TEST FOR HEPSIBURADA CATEGORY 2en_US
dc.description.tableofcontentsANOVA TEST FOR CATEGORY 3en_US
dc.description.tableofcontentsANOVA TEST FOR KANGURUM CATEGORY 1en_US
dc.description.tableofcontentsANOVA TEST FOR KANGURUM CATEGORY 2en_US
dc.description.tableofcontentsANOVA TEST FOR KANGURUM CATEGORY 3en_US
dc.identifier.citationGiritli, E. B. (2007). A statistical approach to web usability analysis. İstanbul: Işık Üniversitesi Fen Bilimleri Enstitüsüen_US
dc.identifier.urihttps://hdl.handle.net/11729/899
dc.institutionauthorGiritli, Efe Baturen_US
dc.language.isoenen_US
dc.publisherIşık Üniversitesien_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.lccHF5548.32 .G57 2007
dc.subject.lcshElectronic commerce -- Turkey.en_US
dc.subject.lcshConsumer behavior.en_US
dc.subject.lcshConsumers' preferences.en_US
dc.subject.lcshBusiness enterprises -- Computer networks.en_US
dc.titleA statistical approach to web usability analysisen_US
dc.title.alternativeWeb kullanılabilirlik analizine istatistiksel bir yaklaşımen_US
dc.typeMaster Thesisen_US
dspace.entity.typePublication

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