Efficiency evaluation and improvement guidelines for community colleges of Connecticut:: a data envelopment analysis (DEA) approach
TL;DRAbstract
Tertiary education at Connecticut's Community Colleges, in the United States, is facing a public outcry for a higher level of accountability for the resources appropriated to higher education. This study utilized Data Envelopment Analysis (DEA) to determine the technical efficiency of and provide Improvement guidelines to these twelve Community Colleges. Three research questions were used to direct this study: Question #1: How do institutions of the Community College System of Connecticut compare to each other regarding their levels of Efficiency? Question #2: What conditions may account for the differences in the level of success within similarly efficient colleges? Question #3: What factors or constraints create the varying score among the inefficient colleges? Data for eleven variables, seven inputs and four output, were collected on each of the twelve Community Colleges, but due to the high level of correlation that existed between the variables only three inputs and four outputs w
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Tertiary education at Connecticut's Community Colleges, in the United States, is facing a public outcry for a higher level of accountability for the resources appropriated to higher education. This study utilized Data Envelopment Analysis (DEA) to determine the technical efficiency of and provide Improvement guidelines to these twelve Community Colleges. Three research questions were used to direct this study: Question #1: How do institutions of the Community College System of Connecticut compare to each other regarding their levels of Efficiency? Question #2: What conditions may account for the differences in the level of success within similarly efficient colleges? Question #3: What factors or constraints create the varying score among the inefficient colleges? Data for eleven variables, seven inputs and four output, were collected on each of the twelve Community Colleges, but due to the high level of correlation that existed between the variables only three inputs and four outputs w
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