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College tuition and perceptions of private university quality

机译:大学学费和对私立大学质量的看法

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This research employs institutional characteristics and market-related factors to predict undergraduate students' tuition at 190 private colleges and universities in the USA. Results showed that the strongest correlations among variables for college tuition were reputation ranking and SAT scores. Results of a hierarchical multiple regression revealed that the type of institution, academic reputation ranking, the annual expenditures, geographic region, the existence of professional schools, the size of the faculty and the undergraduate student body, and university presidents' pay and benefits are all significant predictors of college tuition. After controlling all other variables, the unique contribution made by reputation ranking is still a significant predictor of college tuition. Research institutions charged their students more than liberal arts colleges, which, in turn, charged more than doctoral granting I institutions. Implications for parents and students, private colleges and universities, human resource management, and the Matthew effect are discussed.
机译:这项研究利用制度特征和市场相关因素来预测美国190所私立学院和大学的本科生学费。结果表明,大学学费变量之间最强的相关性是声誉排名和SAT分数。分层多元回归的结果表明,机构类型,学术声誉排名,年度支出,地理区域,专业学校的存在,师资和本科生的规模以及大学校长的薪酬和福利都是大学学费的重要预测指标。在控制了所有其他变量之后,声誉排名所做出的独特贡献仍然是大学学费的重要预测指标。研究机构向学生收取的费用要比文科学院高,后者向其收取的费用比授予博士学位的机构要多。讨论了对父母和学生,私立大学和大学,人力资源管理以及马修效应的影响。

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