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http://dx.doi.org/10.14400/JDC.2015.13.11.449

Analyzing vocational outcomes of people with hearing impairments : A data mining approach  

Shin, Hyun-Uk (The University of Jeonju)
Publication Information
Journal of Digital Convergence / v.13, no.11, 2015 , pp. 449-459 More about this Journal
Abstract
The purpose of this study was to examine demographic, human capital and service factors affecting employment outcomes of people with hearing impairments. The total of 422 individuals (age from 20 years to 65 years) with hearing impairments were collected from the Panel Survey of Employment for the Disabled from Korea Employment Agency for the Disabled. The dependent variable is employment outcomes. The predictor variables include a set of personal history, human capital and rehabilitation service variables. The chi-squared automatic interaction detector (CHAID) analysis revealed that the status of the national basic livelihood security played a determining role in predicting the employment of people with hearing impairments. Also, it was found that the three factors of the status on the national basic livelihood security, needed help about activities of dailey living, licenses & employment service factors created bigger synergy effect when they inter-complemented one another.
Keywords
Data mining; People with hearing impairments; Employment outcomes; Decision-tree technique;
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