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dc.contributor.authorShields, Patricia M.
dc.date.accessioned2007-08-21T14:54:30Z
dc.date.available2012-02-24T10:19:42Z
dc.date.issued1981-03-05en_US
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/3951
dc.description.abstractIn this paper a technique is developed which shows how both logit and MCA can be adapted for comparison purposes. The technique is developed for the special case of dichotomous dependent variables. The method was empirically tested and the data reveal that the logit probabilities, with few exceptions, were consistent with those generated by the MCA technique. The author advocates the use of this technique to confirm the MCA coefficients. Furthermore, when MCA and logit yield consistent results MCA coefficients should be used for presentation and discussion purposes.en_US
dc.formatText
dc.format.extent4 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_US
dc.sourceProceedings of the Twelfth Annual Conference of the Southwest Region American Institution for Decision Sciences, 1981, New Orleans, Louisiana, United States.
dc.subjectMCA Techniqueen_US
dc.subjectMCA Coefficientsen_US
dc.subjectLogit probabilitiesen_US
dc.subjectDecision sciencesen_US
dc.subjectTheory and applicationsen_US
dc.titleMCA and Logit: A Comparisonen_US
txstate.documenttypePaper
txstate.departmentPolitical Science


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