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山东大学学报 (医学版) ›› 2020, Vol. 58 ›› Issue (11): 109-114.doi: 10.6040/j.issn.1671-7554.0.2020.1115

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医学类专业学生统计学态度现状调查及相关影响因素分析

刘玉美1,2,袁中尚1,孙秀彬1,李秀君1,王淑康1,刘静1   

  1. 1. 山东大学公共卫生学院, 山东 济南 250012;2. 山东省精神卫生中心, 山东 济南 250014
  • 发布日期:2020-11-04
  • 通讯作者: 刘静. E-mail: liujing@sdu.edu.cn
  • 基金资助:
    山东大学齐鲁医学院本科教学改革与研究项目(qlyxjy-201858);山东大学教育教学改革研究项目(2020Y262)

Survey of medical students attitudes toward statistics and analysis of influencing factors

LIU Yumei1,2, YUAN Zhongshang1, SUN Xiubin1, LI Xiujun1, WANG Shukang1, LIU Jing1   

  1. 1. School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Shandong Mental Health Center, Jinan 250014, Shandong, China
  • Published:2020-11-04

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摘要： 目的 调查高校医学类专业学生的统计学态度现状,探讨其影响因素,并分析统计学态度与统计学课程成绩的相关性,为探索教学改革方向和提升教学效果提供科学依据。 方法 以教育部直属某综合性大学医学院2018~2019学年开设医学统计学的学生为研究对象,使用汉化版的统计学态度调查量表(SATS-36)作为测量工具,量表各条目均以Likert 7分法计分,得分越高代表态度越积极。通过问卷星平台进行在线调查,调查结果采用SPSS软件进行统计分析。 结果 共有776名学生完成调查,总量表条目均分为4.84±0.64;分维度统计,努力程度得分最高(6.41±0.85),其次是价值判断(5.93±0.88),得分最低的维度为难度评价(2.73±0.77);性别、学历层次、专业和数学背景是影响统计学态度的主要因素,量表得分男生高于女生,研究生高于本科生,临床专业和公共卫生/卫生管理专业高于其他专业;数学成绩自评等级越高者统计学态度越积极;课程成绩与统计学态度呈正相关,但相关程度属弱相关(Spearman相关系数为0.227,P<0.001)。 结论 医学生的统计学态度属中等偏上积极性,尤其在努力程度和价值判断方面,积极性最高,但存在明显的畏难情绪;态度积极性与统计学课程成绩呈正相关。进行医学统计学教学时,应针对不同性别、不同专业和不同层次医学生的学习障碍,采取不同的应对措施,改革教学方法,以达到帮助学生提高积极性进而提高学业成绩的目的。

关键词: 医学统计学, 统计学态度, 影响因素

Abstract: Objective To investigate medical students attitudes toward statistics, explore the influencing factors, and to explore the correlation between attitudes and course performance, so as to provide reference for teaching reform and to improve teaching effect. Methods Medical students registered for medical statistics during the academic year of 2018-2019 in a comprehensive university were surveyed with the Chinese version of Scale of Attitudes Toward Statistics(SATS-36). The items in the scale were scored with Likert 7-point method. Higher scores meant more positive attitude. The data were collected with online questionnaire and analyzed with SPSS 25.0 software. Results A total of 776 students completed the survey, and the mean score of scale was 4.84±0.64. The mean score of effort dimension(6.41±0.85)was the highest, followed by the dimension of value(5.93±0.88), and the dimension of difficulty had the lowest mean score(2.73±0.77). Gender, education level, major and self-evaluation of mathematical ability influenced students attitudes toward statistics. Male students had more positive attitudes than female students, and postgraduates were more positive than undergraduates. Students who majored in public health or clinical medicine were more positive than students in other majors. Higher self-evaluation of mathematical ability was associated with more positive attitude. There was a positive correlation between course performance and attitudes, but the correlation was weak(Spearman correlation coefficient was 0.227, P<0.001). Conclusion Medical students attitudes toward statistics were fairly positive, especially in terms of effort and value dimensions. However, statistics was widely considered difficult. The attitudes were positively correlated with course performance. In the teaching process of medical statistics, teachers should pay more attention to students emotion and cater to students individual needs.

Key words: Medical statistics, Attitudes toward statistics, Influencing factors

中图分类号: 

  • R195.1
[1] Judi HM, Ashaari NS, Mohamed H, et al. Students profile based on attitude towards statistics[J]. Procedia-Soc Behav Sci, 2011, 18: 266-272. doi: 10.1016/j.sbspro.2011.05.038.
[2] Chowdhury SK. Prior knowledge, sex and students attitude towards statistics: a study on postgraduate education students[J]. Am Educ Res J, 2018, 6(3): 270-276.
[3] Mustam AA, Adnan M, Johnny J, et al. Attitude towards statistics among pre-service teachers of institute of teacher education[J]. J Phys:Conf Ser, 2020,1521: 032011. doi: 10.1088/1742-6596/1521/3/032011.
[4] Beurze SM, Donders ART, Zielhuis GA, et al. Statistics anxiety: a barrier for education in research methodology for medical students?[J]. MedSciEduc, 2013, 23(3): 377-384.
[5] Freeman JV, Collier S, Staniforth D, et al. Innovations in curriculum design: a multi-disciplinary approach to teaching statistics to undergraduate medical students[J]. BMC Med Educ, 2008, 8: 28. doi:10.1186/1472-6920-8-28.
[6] Hanna D, Shevlin M, Dempster M, et al. The structure of the statistics anxiety rating scale: a confirmatory factor analysis using UK psychology students[J]. Pers Individ Differ, 2008, 45(1): 68-74. doi: 10.1016/j.paid.2008.02.021.
[7] Gal I, Ginsburg L, Schau C, et al. Monitoring attitudes and beliefs in statistics education [M]. Amsterdam, IOS Press, 1997: 37-51.
[8] Roberts DM, Saxe JE. Validity of a statistics attitude survey: a follow-up study[J]. Educ Psychol Meas, 1982, 42(3): 907-912.
[9] Wise SL. The development and validation of a scale measuring attitudes toward statistics[J]. Educ Psychol Meas, 1985, 45(2): 401-405.
[10] Schau C, Stevens J, Dauphine TL, et al. The development and validation of the survey of antitudes toward statistics[J]. Educ Psychol Meas, 1995, 55(5): 868-875.
[11] Schau C. Students attitudes: the “other” important outcome in statistics education [C]. Albuquerque, NM United States: Joint Statistical Meetings-Section on Statistical Education, 2003.
[12] Khavenson T, Orel E, Tryakshina M. Adaptation of survey of attitudes towards statistics(SATS 36)for Russian sample[J]. Procedia-Soc Behav Sci, 2012, 46: 2126-2129. doi: 10.1016/j.sbspro.2012.05.440.
[13] Schou, Sue B. A study of student attitudes and performance in an online introductory business statistics class[J]. Electronic Journal for the Integration of Technology in Education, 2006, 6(1): 71-78.
[14] Tempelaar DT, Loeff SSVD, Gijselaers WH. A structural equation model analyzing the relationship of students attitudes toward statistics, prior reasoning abilities, and course performance[J]. Stat Educ Res J, 2007, 6(2): 78-102.
[15] Chiesi F, Primi C. Assessing statistics attitudes among college students: psychometric properties of the Italian version of the Survey of Attitudes toward Statistics(SATS)[J]. Learn Individ Differ, 2009, 19(2): 309-313.
[16] Kiekkas P, Panagiotarou A, Malja A, et al. Nursing students attitudes toward statistics: effect of a biostatistics course and association with examination performance[J]. Nurse Educ Today, 2015, 35(12): 1283-1288.
[17] Zhang Y, Shang L, Wang R, et al. Attitudes toward statistics in medical postgraduates: measuring, evaluating and monitoring[J]. BMC Med Educ, 2012, 12: 117. doi: 10.1186/1472-6920-12-117.
[18] Bechrakis T, Gialamas V, Barkatsas A. Survey of attitudes toward statistics(SATS): an investigation of its construct validity and its factor invariance by gender[J]. International Journal of Theoretical Educational Practice, 2011, 1(1): 1-15.
[19] Hilton SC, Schau C, Olsen JA. Survey of attitudes toward statistics: factor structure invariance by gender and by administration time[J]. Struct Equ Model: A Multidiscip J, 2004, 11(1): 92-109.
[20] Onwuegbuzie AJ. Modeling statistics achievement among graduate students[J]. Educ Psychol Meas, 2003, 63(6): 1020-1038.
[21] Carmona J, Martínez RJ, Sánchez M. Mathematical background and attitudes toward statistics in a sample of Spanish college students[J]. Psychol Rep, 2005, 97(1): 53-62.
[22] Carmichael C, Callingham R, Watson J, et al. Factors influencing the development of middle school students interest in statistical literacy[J]. Stat Educ Res J, 2009, 8(1): 62-81.
[23] Artino AR, Holmboe ES, Durning SJ, et al. Can achievement emotions be used to better understand motivation, learning, and performance in medical education?[J]. Med Teach, 2012, 34(3): 240-244.
[24] 王陵, 李婵娟, 夏结来, 等. 医学研究生对医学统计学的认知态度、教学感受和应用需求调查分析[J]. 中国卫生统计, 2015, 32(3): 396-400. WANG Ling, LI Chanjuan, XIA Jielai, et al. Attitudes survey of medical postgraduates toward medical statistics and relative influence factors analysis[J]. Chinese Journal of Health Statistics, 2015, 32(3): 396-400.
[25] 胡晗, 李晨, 王陵, 等. 医学生医学统计学相关认知态度影响因素分析[J]. 中国医院统计, 2015, 22(2): 98-101. HU Han, LI Chen, WANG Ling, et al. Influence factor analysis of medical undergraduates attitudes toward medical statistics[J]. Chinese Journal of Hospital Statistics, 2015, 22(2): 98-101.
[26] Mills JD. Students attitudes toward statistics: Implications for the future[J]. Coll Stud J, 2004, 38(3): 349-361.
[27] Emmioglu E, Capa-Aydin Y. Attitudes and achievement in statistics: a meta-analysis study[J]. Stat Educ Res J, 2012, 11(2): 95-102.
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