基于结构方程模型的高校学生在线考试满意度研究
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摘要
构建学生在线考试满意度模型,分析变量对满意度影响程度,进而提出改进策略,对提升在线考试的质量有着重要的理论意义和现实意义。本研究以重庆某高校300名学生为研究对象,通过发送调查问卷的方式收集数据,使用SPSS和AMOS软件统计分析数据,然后使用结构方程模型进行路径分析。统计分析结果显示:高校学生在线考试总体满意度一般。结构方程模型路径分析结果显示:潜在变量"考试坏境"对总体满意度影响最大,潜在变量"试卷管理"对总体满意度影响最小。跟踪调查发现,针对各潜在变量下因素负荷量较大的测量变量提出相应建议及改进措施,可有效提升学生在线考试满意度。
Constructing students' online test satisfaction model,analyzing the influence of variables on satisfaction,and then proposing improvement strategies have important theoretical and practical significance for improving the quality of online exams. In this study,300 students from a university in Chongqing were selected as research subjects.Data were collected by sending questionnaires;statistical data were analyzed using SPSS and AMOS software,and then path analysis was performed using structural equation modeling.The results of statistical analysis show that the overall satisfaction of college students' online exams is moderate.The results of structural equation model path analysis show that the potential variable"test environment"has the greatest impact on overall satisfaction,and the potential variable"test paper management"has the least impact on overall satisfaction.The follow-up survey found that the corresponding recommendations and improvement measures for the measurement variables with large load factors under various potential variables can effectively improve students' online test satisfaction.
Constructing students' online test satisfaction model,analyzing the influence of variables on satisfaction,and then proposing improvement strategies have important theoretical and practical significance for improving the quality of online exams. In this study,300 students from a university in Chongqing were selected as research subjects.Data were collected by sending questionnaires;statistical data were analyzed using SPSS and AMOS software,and then path analysis was performed using structural equation modeling.The results of statistical analysis show that the overall satisfaction of college students' online exams is moderate.The results of structural equation model path analysis show that the potential variable"test environment"has the greatest impact on overall satisfaction,and the potential variable"test paper management"has the least impact on overall satisfaction.The follow-up survey found that the corresponding recommendations and improvement measures for the measurement variables with large load factors under various potential variables can effectively improve students' online test satisfaction.
引文
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[18]吴明隆.结构方程模型:AMOS的操作与应用[M].重庆:重庆大学出版社,2009.
[19]邱皓政,林碧芳.结构方程模型的原理与应用[M].北京:中国轻工业出版社,2009.
[20][21]温忠麟,侯杰泰,马什赫伯特.结构方程模型检验:拟合指数与卡方准则[J].心理学报,2004,36(2):186-194.
[2]GUO P,YU H F,YAO Q.The Research and Application of Online Examination and Monitoring System[C]//IEEE International Symposium on It in Medicine and Education.IEEE,2011:497-502.
[3]ULLAH A,XIAO H,LILLEY M.Profile Based Student Authentication in Online Examination[C]//International Conference on Information Society.IEEE,2012:109-113.
[4]厉浩,何建敏,佘明.高校招生考试满意度的测度模型与实证分析[J].统计与决策,2015,(18):109-113.
[5]陈巧云.基于结构方程模型的高校教育信息化学生评价研究[J].电化教育研究,2016,(8):78-85.
[6]杨文正,熊才平,丁继红,等.教育信息资源质量满意度影响因素及机制研究:基于296份中学教师调查问卷的结构方程模型分析[J].中国电化教育,2014,(5):104-112.
[7]方旭,崔向平,杨改学.慕课学习支持服务满意度研究:基于结构方程模型的视角[J].开放教育研究,2016,22(5):76-85.
[8]朱俊亚.用户满意度影响因素研究:基于产品创新的视角[D].成都:西南交通大学,2017.
[9]WIRTZ J,LEE M C.An Examination of the Quality and Context-Specific Applicability of Commonly Used Customer Satisfaction Measures[J].Journal of Service Research(S1094-6705),2003,5(4):345-355.
[10]吴明隆.结构方程模型[M].重庆:重庆大学出版社,2012.
[11]程开明.结构方程模型的特点及应用[J].统计与决策,2006,(10):22-25.
[12]荣泰生.AMOS与研究方法[M].重庆:重庆大学出版社,2009.
[13]KLINE R B.Principles and Practice of Structural Equation Modeling[J].Journal of the American Statistical Association(S0162-1459),2011,(12):101.
[14]Fornell Claes.A National Customer Satisfaction Barometer:The Swedish Experience[J].Journal of Marketing(S0022-2429),1992,56(1):6-21.
[15]JAMIESON S.Likert Scale:How to(ab)Use Them[J].Medical Education(S0308-0110),2005,38(12):1217-1218.
[16]张虎,田茂峰.信度分析在调查问卷设计中的应用[J].统计与决策,2007,23(21):25-27.
[17]OHBA M.Software Reliability Analysis Models[J].IBMJournal of Research and Development(S0018-8646),1984,28(4):428-443.
[18]吴明隆.结构方程模型:AMOS的操作与应用[M].重庆:重庆大学出版社,2009.
[19]邱皓政,林碧芳.结构方程模型的原理与应用[M].北京:中国轻工业出版社,2009.
[20][21]温忠麟,侯杰泰,马什赫伯特.结构方程模型检验:拟合指数与卡方准则[J].心理学报,2004,36(2):186-194.
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