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This study examined the correlation and covariance between education mismatch and skills mismatch in the Tanzanian Formal sector taking Dar es Salaam and Dodoma regions as case studies. The study employed cross sectional and Worker Self Assessment (WSA) techniques with 319 workers from public and private sectors selected by multistage cluster sampling. Office interviews were conducted to collect qualitative data using structured questionnaire. The SPSS-16 statistical package was used for data analysis. Using Chi square at 5% level of significance, the results reported an existence of relationship between education mismatch and skills mismatch (χ 2 =39.57; p=0.00). Using bivariate correlation, results portrayed a weak positive correlation between education mismatch and skills mismatch (Cor em,sm =0.241).
Pius Chaya. 2013. \u201cCovariance and Correlation between Education Mismatch and Skills Mismatch in Tanzanian Formal Sector\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 13 (GJHSS Volume 13 Issue E2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 113
Country: Tanzania
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Dr. Ahmed Ame, Pius Chaya, Dr. Oswald Mashindano (PhD/Dr. count: 2)
View Count (all-time): 137
Total Views (Real + Logic): 4804
Total Downloads (simulated): 2632
Publish Date: 2013 04, Mon
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This study examined the correlation and covariance between education mismatch and skills mismatch in the Tanzanian Formal sector taking Dar es Salaam and Dodoma regions as case studies. The study employed cross sectional and Worker Self Assessment (WSA) techniques with 319 workers from public and private sectors selected by multistage cluster sampling. Office interviews were conducted to collect qualitative data using structured questionnaire. The SPSS-16 statistical package was used for data analysis. Using Chi square at 5% level of significance, the results reported an existence of relationship between education mismatch and skills mismatch (χ 2 =39.57; p=0.00). Using bivariate correlation, results portrayed a weak positive correlation between education mismatch and skills mismatch (Cor em,sm =0.241).
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