Authors:

Abstract

This study focuses on the factors that influence the second job position of an individual. The Corresponding response variable has four levels such as senior management, middle management, junior management and non executive grade which is in ordinal scale. Rather than sticking into classical approaches, a rarely used approach, adjacent category logit model approach has been used to accomplish this task. Logit structure of this model is most appropriate in this context. The predicting ability of the fitted model has been justified using artificial neural network approach. Final model has 3 separate equations for 3 logits and each provides separate information about one step increments in second job position. The covariate, organization of second job is highly influencing all 3 logits, individual’s university and the sector of first job are influencing partially. Analysis reveals that these 3 factors are highly significant on influencing the response variable.

DOI: http://dx.doi.org/10.4038/sljastats.v15i1.6748

Keywords: Artificial Neural Network, Multi-categorical Response Variable, Multinomial Distribution, Hyperbolic Tangent, Softmax Activation Function, ROC Curve