Advanced SearchSearch Tips
Analyzing vocational outcomes of people with hearing impairments : A data mining approach
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Journal of Digital Convergence
  • Volume 13, Issue 11,  2015, pp.449-459
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2015.13.11.449
 Title & Authors
Analyzing vocational outcomes of people with hearing impairments : A data mining approach
Shin, Hyun-Uk;
  PDF(new window)
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.
Data mining;People with hearing impairments;Employment outcomes;Decision-tree technique;
 Cited by
H. Y, Lee, Factors influencing the frequent turnover of deaf analysis, Disability and Employment, 17(1), 141-164, 2007. crossref(new window)

Y. C, Byun, etc, 2008's Survey on disabilities, Korea Institute for Health and Social Affairs, 2009.

H. S, Choi, J. S. Lee, Employment Management of the deaf. Korea Employment Promotion Agency, 1996.

Statistics, Disabled Status,, 2015.

Y. J, Kang, Deaf students' career and interests and exploration, Master's Thesis, Dankook University, 1999.

S. H, Kim, A study on influential factors determining employment of people with disabilities. Korea Nonprofit Research, 9(1), 137-167. 2010.

H, J, Kim, Deaf Studies on the determinants that affect the turnover intention of employees, Master's Thesis, Yonsei University, 2003.

S. M, Ha, A Comparative Study on the Quality of Employment deaf and hard of hearing person, PhD thesis, University of Daegu., 2013.

KEPA(2013). Sixth Disabled Employment Panel Survey. Korea Employment Promotion Agency Employment Institute, 2013.

H. S, Young, etc. Data Mining, Infinity Books, 2007

J. C, Kim, An analysis of actual data with the introduction of data mining and decision trees. Chonnam National University, Master's thesis, 2000.

S. M, Shin, Data Mining Applications for the health of underweight youth: Focusing on the Seoul high school. Yonsei School of Nursing, Master's thesis, 2001.

Y. M, Choie, S. H, Ho, Data Mining for Knowledge Management in a Health Insurance Domain. Korea Intelligent Information Systems Society. 6(1), 73-81, 2000.

D. I, Kim, H. S, Hong, Data-mining techniques for diagnosing learning disabilities: regression, decision trees and neural network analysis, Special Education, 16 (1), 321-339, 2009.

Chan, F., Cheing, G., Chan, J., Rosenthal, D. A., & Chronister, J. (2006). Predicting employment outcomes of rehabilitation clients with orthopedic disabilities: A CHAID analysis. Disability and Rehabilitation, 28(5), 257- 270. crossref(new window)

M. S, Kim, K. I, Chae, C. H, Han, Search portal preferences factor analysis : decision trees techniques. Korea Industrial and System Engineering Conference Proceedings, 369-376. 2003.

SPSS. (1998). Answer Tree 2.0-User's Guide. SPSS.

Mank, D., O'Neil, C., Jensen, R.(1998). Quality in supported employment: a new demonstration of the capabilities of people with severe disabilities, Journal Of Vocational Rehabilitation, 11(1), 83-95. crossref(new window)

S. R, Oh, A study on the determinants of employment of people with disabilities. Korea Social Welfare Policy Institute, 34: 255-275. 2008.

S. H, Kim, A study on influential factors determining employment of people with disabilities. Korea Nonprofit Research, 9(1), 137-167. 2010.

E. L, Baik, H. K, Oh, D. I, Jeon, A study on the employment status and influencing factors of the women with disabilities, Vocational Rehabilitation Studies, 17(1), 223-248, 2007

Capella, M. (2002). Inequities in the VR system: Do they still exist? Rehabilitation Counseling Bulletin, 45, 143-153. crossref(new window)

J. J, Ryu, U. H, Na, A study on disabled employment predictors, Korea Public Administration Review, 40 (2), 167-193., 40(2), 167-193. 2006.

Y. H, Nam, Foreign employment policy incentives for people with disabilities, Korea Employment Agency Employment Institute, 2012.

K. S, Noh, S. T, Park, K. H. Park. Convergence Study on Big Data Competency Reference Model, 13(3), 55-63, Journal of Digital Convergence, 2015.