期刊论文详细信息
BMC Medical Education
Predictors of first-year GPA of medical students: a longitudinal study of 1285 matriculates in China
Chun-Quan Ou2  Jun Yang2  Cheng-Hua Peng1  Cheng-Song Wan2  Li Li2  Zhi-Tao Zhao1  Ying-Xue Zhou2 
[1] Office of Academic Affairs, Southern Medical University, Guangzhou 510515, China;School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China
关键词: Hierarchical linear model;    China;    Medical students;    First-year GPA;    National College Entrance Examination;   
Others  :  866721
DOI  :  10.1186/1472-6920-14-87
 received in 2013-08-06, accepted in 2014-04-11,  发布年份 2014
【 摘 要 】

Background

Although medical education has developed rapidly in the last decade, and the National College Entrance Examination (NCEE) is used as the "gold standard" for admission to medical college in mainland China, there is a lack of literature regarding the influence of NCEE score and other factors on the academic performance of medical students. This study aimed to examine potential predictors of first-year grade point average (GPA) for medical students.

Methods

This study included 1,285 students who matriculated at a first-tier medical university in mainland China in 2011. The precollege motivational attitudes for each matriculate were investigated via questionnaire. A hierarchical linear model was fitted to regress first-year GPA on a 100-point scale on NCEE score and other student-level and major-level characteristics.

Results

NCEE score was a significant predictor of both within-major and between-major variation of first-year GPA for medical students. Majors with higher mean NCEE scores had higher mean GPAs, and higher GPAs were observed among those individuals with higher NCEE scores after controlling for major-level characteristics. First-year GPA differed by certain individual socio-demographic variables. Female students had a 2.44-higher GPA on average than did male students. NCEE repeaters had a 1.55-lower GPA than non-repeaters. First-year GPA was associated negatively with parental income but positively with academic self-concept.

Conclusions

NCEE score is an important predictor of the first-year GPA of medical students, but it is not the sole determinant. Individual socio-demographic characteristics and major-level characteristics should be taken into account to understand better and improve the first-year GPA of medical students.

【 授权许可】

   
2014 Zhou et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Mills C, Heyworth J, Rosenwax L, Carr S, Rosenberg M: Factors associated with the academic success of first year health science students. Adv Health Sci Educ 2009, 14:205-217.
  • [2]Pascarella ET, Terenzini PT: How College Affects Students, Volume 2: A Third Decade of Research. San Francisco, CA: Jossey-Bass; 2005.
  • [3]Reason RD, Terenzini PT, Domingo RJ: First things first: developing academic competence in the first year of college. Res High Educ 2006, 47:149-175.
  • [4]Education statistics: Ministry of Education of the People’s Republic of China Web site. http://www.moe.gov.cn/publicfiles/business/htmlfiles/moe/s7382/list.html webcite
  • [5]Robbins SB, Lauver K, Le H, Davis D, Langley R, Carlstrom A: Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychol Bull 2004, 130:261-288.
  • [6]Kobrin JL, Patterson BF: Contextual factors associated with the validity of SAT scores and high school GPA for predicting first-year college grades. Educ Assess 2011, 16:207-226.
  • [7]Callahan CA, Hojat M, Veloski J, Erdmann JB, Gonnella JS: The predictive validity of three versions of the MCAT in relation to performance in medical school, residency, and licensing examinations: a longitudinal study of 36 classes of Jefferson medical college. Acad Med 2010, 85:980-987.
  • [8]Bai C-E, Chi W: Determinants of undergraduate GPAs in China: college entrance examination scores, high school achievement, and admission route. http://mpra.ub.uni-muenchen.de/31240/ webcite
  • [9]Xu P, Zhang Y-H, Shang L, Zeng Y, Wang Y-Y, Wang Q: Correlation Analysis of the quality of medical student source and their examination performance of medical courses [in Chinese]. Northwest Med Educ 2009, 17:505-506.
  • [10]Lu W, Yang Y, Zhang J-G, Ding W, Le Z-L, Hu Y-Q: Study of medical undergraduates’ talent based on scores of National Matriculation Test and medical courses [in Chinese]. J Shanghai Jiaotong Univ (Med Sci) 2012, 32:1373-1377.
  • [11]Yuan H, Lei J: Correlation analysis of the college performance and college entrance exam scores of nurses [in Chinese]. Sichuan J Physiol Sci 2009, 31:94-95.
  • [12]House JD: Relationships between self-beliefs, academic background and achievement of undergraduate students in health sciences majors. Int J Instr Media 2000, 27:427-438.
  • [13]Schunk DH, Pintrich PR, Meece JL: Motivation in education: Theory, research and applications. 3rd edition. Merrill-Prentice Hall: Upper Saddle River, NJ; 2008.
  • [14]Kuh GD, Gonyea RM, Williams JM: What students expect from college and what they get. In Promoting Reasonable Expectations: Aligning Student Views of the College Experience. Edited by Miller TE, Bender BE, Schuh JH, and Associates. San Francisco, CA: Jossey-Bass; 2005.
  • [15]Cole JS, Kennedy M, Ben-Avie M: The role of precollege data in assessing and understanding student engagement in college. New Dir Instit Res 2009, 141:55-69.
  • [16]Bauer KW, Liang Q: The effect of personality and precollege characteristics on first-year activities and academic performance. J Coll Stud Dev 2003, 44:277-290.
  • [17]Pascarella ET, Pierson CT, Wolniak GC, Terenzini PT: First-generation college students: additional evidence on college experiences and outcomes. J Higher Educ 2004, 75:249-284.
  • [18]Astin AW: What Matters in College? Four critical years revisited. San Francisco, CA: Jossey-Bass; 1993.
  • [19]Zheng J-L, Saunders KP, Shelley MC II, Whalen DF: Predictors of academic success for freshmen residence hall students. J Coll Stud Dev 2002, 43:267-283.
  • [20]Amelink CT: Predicting academic success among first-year, first generation students. PhD thesis. Virginia: Polytechnic Institute and State University, College of Engineering; 2005. [ http://faculty.ksu.edu.sa/hisham/Documents/Medical%20Education/English/Admission/2.pdf webcite]
  • [21]Cuddy MM, Swanson DB, Clauser BE: A multilevel analysis of examinee gender and USMLE Step 1 performance. Acad Med 2008, 83:S58-S62.
  • [22]Rauschenberger MM, Sweeder RD: Gender performance differences in biochemistry. Biochem Mol Biol Edu 2010, 38:380-384.
  • [23]Hudson RD: Is there a relationship between chemistry performance and question type, question content and gender? Sci Educ Int 2012, 23:56-83.
  • [24]Zhang J: Sex and Economics: The Paradox of Student Gender in China. Social Science Research Network 2013. http://dx.doi.org/10.2139/ssrn.1747269 webcite
  • [25]Sirin SR: Socioeconomic status and academic achievement: a meta-analytic review of research. Rev Educ Res 2005, 75:417-453.
  • [26]White KR: The relation between socioeconomic status and academic achievement. Psychol Bull 1982, 91:461-481.
  • [27]Carrell SE, Fullerton RL, West JE: Does your cohort matter? Measuring peer effects in college achievement. J Labor Econ 2009, 27:439-464.
  • [28]Nelson Laird TF, Shoup R, Kuh GD, Schwarz MJ: The effects of discipline on deep approaches to student learning and college outcomes. Res High Educ 2008, 49:469-494.
  • [29]Kim YK, Sax LJ: Are the effects of student–faculty interaction dependent on academic major? An examination using multilevel modeling. Res High Educ 2011, 52:589-615.
  • [30]CIRP Freshman Survey: Higher Education Research Institute home of Cooperative Institutional Research Program. http://www.heri.ucla.edu/cirpoverview.php webcite
  • [31]Schwarz MR, Wojtczak A, Zhou T: Medical education in China’s leading medical schools. Med Teach 2004, 26:215-222.
  • [32]Dolan CV: Factor analysis of variables with 2, 3, 5 and 7 response categories: a comparison of categorical variable estimators using simulated data. Br J Math Stat Psychol 1994, 47:309-326.
  • [33]Dufour JM, Taamouti M: Further results on projection-based inference in IV regressions with weak, collinear or missing instruments. J Econometrics 2007, 139:133-153.
  • [34]Ethington CA: A hierarchical linear modeling approach to studying college effects. In Higher Education: Handbook of Theory and Research. Edited by Smart JC. New York: Agathon; 1997:165-194.
  • [35]Raudenbush SW, Liu X: Statistical power and optimal design for multisite randomized trials. Psychol Methods 2000, 5:199-213.
  • [36]Cohen J: Statistical Power Analysis for the Behavioral Sciences. 2nd edition. Hillsdale, NJ: Erlbaum; 1988.
  • [37]Raudenbush SW, Bryk AS: Hierarchical linear models: applications and data analysis methods. 2nd edition. Thousand Oaks, CA: Sage Publications; 2002.
  • [38]Lievens F, Buyse T, Sackett PR: Retest effects in operational selection settings: development and test of a framework. Pers Psychol 2005, 58:981-1007.
  • [39]Price J, Dunne M: Academic performance of students admitted after repeating entrance examinations to medical school. Med Educ 1990, 24:212-218.
  • [40]Wiley A, Koenig JA: The validity of the medical college admission test for predicting performance in the first two years of medical school. Acad Med 1996, 71(Suppl 10):S83-S85.
  • [41]DeBerard MS, Spielmans GI, Julka DC: Predictors of academic achievement and retention among college freshmen: a longitudinal study. Coll Stud J 2004, 38:66-80.
  • [42]Cuddy MM, Swanson DB, Dillon GF, Holtman MC, Clauser BE: A multilevel analysis of the relationships between selected examinee characteristics and United States Medical Licensing Examination Step 2 clinical knowledge performance: revisiting old findings and asking new questions. Acad Med 2006, 81(Suppl 10):S103-S107.
  • [43]Udida LA, Ukwayi JK, Ogodo FA: Parental socioeconomic background as a determinant of student’s academic performance in selected public secondary schools in Calabar Municipal Local Government Area, Cross River State, Nigeria. J Educ Pract 2012, 3:129-135.
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