The use of correspondence analysis in building loglinear models

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dc.contributor.advisorJuritz, Juneen_ZA
dc.contributor.authorParry, Charles David Heberen_ZA
dc.date.accessioned2016-09-25T16:47:50Z
dc.date.available2016-09-25T16:47:50Z
dc.date.issued1983en_ZA
dc.description.abstractData collected in the biomedical and social sciences by means of questionnaires is in most instances qualitative in nature. Such data, typically set out in the form of (multi-dimensional) contingency tables, is usually subjected to hypothesis testing in order to assess the interrelationships between the questions. Prior to undertaking confirmatory procedures, we argue that exploratory techniques should be used to gain a "feel" for the data. Correspondence Analysis (an exploratory data analysis procedure) and Log-linear Model building (a confirmatory data analysis procedure) are discussed before an investigation is undertaken to ascertain whether they can be used in conjunction. We found that correspondence analysis : (i) detects questions that are "strictly" independent/unrelated, (ii) detects pairwise relationships between questions (2-factor interactions) and thus can be used to suggest a splitting of large data sets into two or more subsets of questions that are independent, each of which can be analysed separately, and (iii) cannot be used to select log-linear models in general because it does not detect higher order interactions.en_ZA
dc.identifier.apacitationParry, C. D. H. (1983). <i>The use of correspondence analysis in building loglinear models</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/21912en_ZA
dc.identifier.chicagocitationParry, Charles David Heber. <i>"The use of correspondence analysis in building loglinear models."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1983. http://hdl.handle.net/11427/21912en_ZA
dc.identifier.citationParry, C. 1983. The use of correspondence analysis in building loglinear models. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Parry, Charles David Heber AB - Data collected in the biomedical and social sciences by means of questionnaires is in most instances qualitative in nature. Such data, typically set out in the form of (multi-dimensional) contingency tables, is usually subjected to hypothesis testing in order to assess the interrelationships between the questions. Prior to undertaking confirmatory procedures, we argue that exploratory techniques should be used to gain a "feel" for the data. Correspondence Analysis (an exploratory data analysis procedure) and Log-linear Model building (a confirmatory data analysis procedure) are discussed before an investigation is undertaken to ascertain whether they can be used in conjunction. We found that correspondence analysis : (i) detects questions that are "strictly" independent/unrelated, (ii) detects pairwise relationships between questions (2-factor interactions) and thus can be used to suggest a splitting of large data sets into two or more subsets of questions that are independent, each of which can be analysed separately, and (iii) cannot be used to select log-linear models in general because it does not detect higher order interactions. DA - 1983 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1983 T1 - The use of correspondence analysis in building loglinear models TI - The use of correspondence analysis in building loglinear models UR - http://hdl.handle.net/11427/21912 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/21912
dc.identifier.vancouvercitationParry CDH. The use of correspondence analysis in building loglinear models. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1983 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/21912en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematical Statisticsen_ZA
dc.titleThe use of correspondence analysis in building loglinear modelsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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