The significant factors for the people with epilepsy high employability based on multiple intelligence scores
DOI:
https://doi.org/10.11113/mjfas.v12n1.345Keywords:
People with Epilepsy, Employability Model, Multiple Intelligence, Logistic Regression Analysis,Abstract
The objective of this study is to develop an employability model which involves significant factors that lead to high employability for People with Epilepsy (PWE). The sample used in this study consists of outpatients at the Neurology Department Hospital Kuala Lumpur (HKL) and Hospital Sultanah Aminah (HSA), Johor Bahru. The sample size from HKL are 148 patients and from HSA are 67 patients that made up a total sample of 215 patients. The main method used in this study is binary logistic regression analysis in order to build the model and to determine the significant employability factors. Several model fit tests like Classification Table, Omnibus Tests of Model Coefficients, Likelihood-Ratio Test, Hosmer and Lemeshow Test and Cox and Snell R2 & Nagelkerke R2 are discussed in this paper. From the employability model built, eleven significant factors are obtained which increase the chances for the PWE to be employed namely gender, marital status, education background, age of the respondents, onset age, musical intelligence, kinesthetic intelligence, logic/math intelligence, spatial intelligence, intrapersonal intelligence and naturalistic intelligence.
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