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首页> 外文期刊>Community College Journal of Research and Practice >Using Student and Institutional Characteristics to Predict Graduation Rates at Community Colleges: New Developments in Performance Measures and Institutional Effectiveness
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Using Student and Institutional Characteristics to Predict Graduation Rates at Community Colleges: New Developments in Performance Measures and Institutional Effectiveness

机译：利用学生和机构的特征来预测社区大学的毕业率：绩效衡量和机构有效性的新发展

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Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the Institutional Performance Ratio (IPR), for each institution to form a metric. This metric was used to measure one institution's performance against another in terms of graduation rate. Based on the IPR value, an institution could determine whether its performance exceeded, met, or was below expectation.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10668926.2010.520245
机译：在加利福尼亚，佛罗里达和密歇根州的社区大学中，获得了以毕业率作为绩效指标的预测模型。这项研究的结果表明，可以从学生和机构特征的总和中有效地预测机构的毕业率。计算每个机构的绩效指标，即机构绩效比（IPR），以形成一个指标。该指标用于衡量一个机构相对于另一机构的毕业率。根据IPR值，机构可以确定其性能是否超出，达到或低于预期。查看全文下载全文相关的var addthis_config = {ui_cobrand：“泰勒和弗朗西斯在线”，servicescompact：“ citeulike，netvibes，twitter，technorati ，delicious，linkedin，facebook，stumbleupon，digg，google，more“，发布编号：” ra-4dff56cd6bb1830b“};添加到候选列表链接永久链接http://dx.doi.org/10.1080/10668926.2010.520245

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