Transcription of MULTINOMIAL LOGISTIC REGRESSION: USAGE …
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MULTINOMIAL LOGISTIC REGRESSION: USAGE …
Quantitative Methods Inquires 288 MULTINOMIAL LOGISTIC regression : USAGE AND APPLICATION IN RISK ANALYSIS Anass BAYAGA School of Initial Teacher Education (SITE), Faculty of Education, University of Fort Hare, South Africa E-mail: Abstract: The objective of the article was to explore the USAGE of MULTINOMIAL LOGISTIC regression (MLR) in risk analysis. In this regard, performing MLR on risk analysis data corrected for the non-linear nature of binary response and did address the violation of equal variance and normality assumptions. Additionally, use of maximum likelihood (-2log) estimation provided a means of working with binary response data. The relationship of independent and dependent variables was also addressed. The data used included a cohort of hundred risk analyst of a historically black South African University.
Quantitative Methods Inquires 290 1.2. Why Multinomial Logistic Regression instead of other Techniques? Most of multivariate analysis techniques require the basic assumptions of normality and continuous data, involving independent and/or …
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