MCA and Logit: A Comparison

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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.issued1981-03-05
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.
dc.description.departmentPolitical Science
dc.formatText
dc.format.extent4 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationShields, P. M. (1981). MCA and Logit: A comparison. Paper presented at the Southwest Region American Institution for Decision Sciences Annual Conference, New Orleans, Louisiana.
dc.identifier.urihttps://hdl.handle.net/10877/3951
dc.language.isoen
dc.sourceProceedings of the Twelfth Annual Conference of the Southwest Region American Institution for Decision Sciences, 1981, New Orleans, Louisiana, United States.
dc.subjectMCA Technique
dc.subjectMCA Coefficients
dc.subjectlogit probabilities
dc.subjectdecision sciences
dc.subjecttheory and applications
dc.subjectPolitical Science
dc.titleMCA and Logit: A Comparison
dc.typePaper

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