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CN 34-1054/N

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Statistical analysis of effects of freshmen’s mental health on grades：A UPI-based retrospective study

  • School of Economics, Hefei University of Technology, Hefei 230601, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2017.09.008
  • Received Date: 20 February 2017
  • Accepted Date: 27 April 2017
  • Rev Recd Date: 27 April 2017
  • Publish Date: 30 September 2017
    Abstract

  • Abstract

    Methods of mathematical statistics were applied to evaluate the effects of categorical data, such as freshmen’s mental health, on average grades of some terms and average grades of some courses, thereby providing information on the psychological mechanism of early warning and assistance to all concerned. The analyzed data was collected from the University Personality Inventory results and the examination results of students enrolled in 2002 into a certain key science and engineering university. The results show that students who have suicidal tendency, or regard their past and family life as unfortunate, score obviously lower than other students; and that those who had the experienced syncopy or spasm before entering college also performed poorly. Concentration is an important guarantee of achieving good grade in college.

    Abstract

    Methods of mathematical statistics were applied to evaluate the effects of categorical data, such as freshmen’s mental health, on average grades of some terms and average grades of some courses, thereby providing information on the psychological mechanism of early warning and assistance to all concerned. The analyzed data was collected from the University Personality Inventory results and the examination results of students enrolled in 2002 into a certain key science and engineering university. The results show that students who have suicidal tendency, or regard their past and family life as unfortunate, score obviously lower than other students; and that those who had the experienced syncopy or spasm before entering college also performed poorly. Concentration is an important guarantee of achieving good grade in college.
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    • References(10)
  • [1]
    刘玉新，黎丽，何秋敏,等.大学生人格问卷（UPI）的应用研究[J].中国电力教育，1996(2): 43-45.
    [2]
    代秀云.浅析大学生素质结构与素质教育[J].高等函授学报（哲学社会科学版），2011,24(11):49-51.
    [3]
    姜巧玲，陈琳.大学新生学业成绩与心理健康状态相关分析[J].黑龙江高教研究，2011（5）:117-120.
    [4]
    丁澍，缪柏其，叶大鹏.高考成绩与大学成绩的相关性分析[J].中国大学教学，2008（11）:29-31.
    [5]
    高惠璇.实用统计方法与SAS系统[M].北京：北京大学出版社，2001.
    [6]
    AGRESTI A.Categorical Data Analysis[M]. New York: Wiley，1990.
    [7]
    陈希孺.广义线性模型（一）[J].数理统计与管理,2002,21(5)：54-61.
    [8]
    陈希孺.广义线性模型（二）[J].数理统计与管理,2002,21(6)：57-64.
    [9]
    王济川，郭志刚.Logistic 回归模型：方法与应用[M].北京：高等教育出版社，2001.
    [10]
    HOSMER D W, LEMESHOW S. Applied Logistic Regression[M]. 2nd ed. New York: Wiley, 2000.
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    [1]
    刘玉新，黎丽，何秋敏,等.大学生人格问卷（UPI）的应用研究[J].中国电力教育，1996(2): 43-45.
    [2]
    代秀云.浅析大学生素质结构与素质教育[J].高等函授学报（哲学社会科学版），2011,24(11):49-51.
    [3]
    姜巧玲，陈琳.大学新生学业成绩与心理健康状态相关分析[J].黑龙江高教研究，2011（5）:117-120.
    [4]
    丁澍，缪柏其，叶大鹏.高考成绩与大学成绩的相关性分析[J].中国大学教学，2008（11）:29-31.
    [5]
    高惠璇.实用统计方法与SAS系统[M].北京：北京大学出版社，2001.
    [6]
    AGRESTI A.Categorical Data Analysis[M]. New York: Wiley，1990.
    [7]
    陈希孺.广义线性模型（一）[J].数理统计与管理,2002,21(5)：54-61.
    [8]
    陈希孺.广义线性模型（二）[J].数理统计与管理,2002,21(6)：57-64.
    [9]
    王济川，郭志刚.Logistic 回归模型：方法与应用[M].北京：高等教育出版社，2001.
    [10]
    HOSMER D W, LEMESHOW S. Applied Logistic Regression[M]. 2nd ed. New York: Wiley, 2000.
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