RELIABILITY TEST FOR TRAINING OPPORTUNITIES AND CHALLENGES OF RURAL LABOR FORCE TOWARDS THE QUALITY OF VOCATIONAL EDUCATION IN MEKONG DELTA
Journal Title: European Journal of Business and Social Sciences - Year 2016, Vol 4, Issue 12
Abstract
Mekong Delta (MD) is one of the key economic areas, Vietnam’s largest granary; however, its pace of development is slower than other regions or provinces. One of the reasons for the backwardness of the Mekong Delta is the quality of labor force not meeting the requirements of economic and social development. This paper, entitled “Reliability test for training opportunities and challenges of rural labor force towards the quality of vocational education in Mekong Delta†conducted during the period from March 2014 to March 2016. The results from data analysis revealed that respondents consider the following factors as the most influential factors: (1) Facilities; (2) Lecturers; (3) Method of delivery and (4) Curriculums. All four most influential factors related to the quality of vocational education in the Mekong Delta with significance level of 5 %. This result confirmed what found in the facilities that was the most important factor to the quality of vocational education and then the second is the curriculums related to the quality of vocational education. In addition, the research results showed that there were 450 trainees interviewed and answered nearly 26 questions. The researcher had analyzed KMO test, the result of KMO analysis used. Managers are responses measured through an adapted questionnaire on a 5-point Likert scale. The researcher had the hard copy and interview trainees by questionnaire. The KMO analysis result showed that there were four factors, which included of factors following the facilities, lecturers, curriculums and method of delivery on the quality of vocational education in the Mekong Delta with significance level of 5 %. In addition, the research result processed from SPSS 20.0 software.
Authors and Affiliations
Nguyen Xuan Tien| Southern College for Engineering and Agriculture
Keywords
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