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Instructional Science

, Volume 41, Issue 5, pp 975–987 | Cite as

Personality, assessment methods and academic performance

  • Adrian FurnhamEmail author
  • Sarah Nuygards
  • Tomas Chamorro-Premuzic
Article

Abstract

This study examines the relationship between personality and two different academic performance (AP) assessment methods, namely exams and coursework. It aimed to examine whether the relationship between traits and AP was consistent across self-reported versus documented exam results, two different assessment techniques and across different faculties. There were 1,013 (622 female) university students from four British Universities in four faculties namely arts/humanities, social sciences, life/biological sciences and mathematical sciences. Participants completed a brief version of the Big Five inventory and a self-report measure of AP. Conscientiousness and Agreeableness were the strongest personality predictors of AP. Structural equation model showed that sex and personality effects on AP were invariant across different areas of study or degree types (humanities, social sciences, life sciences and hard sciences). Personality variables are stable, robust and predictable correlates and determinants of AP. Conscientiousness, Openness and Agreeableness were positive predictors as measured by good grades whilst Neuroticism and Extraversion were correlates of weaker performance. Implications of these results refer how teachers choose to examine their pupils and to what extent students choose courses because of their known examination procedures.

Keywords

Personality Big Five Academic performance University assessment methods Gender GPA 

References

  1. Ackerman, P., & Heggestad, E. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121, 219–245.CrossRefGoogle Scholar
  2. Alker, H., Carlson, J., & Hermann, M. (1969). Multiple-choice questions and student characteristics. Journal of Educational Psychology, 60, 231–243.CrossRefGoogle Scholar
  3. Amin, T., Kaliyadan, F., & Al_Muhaidib, N. (2011). Medical students’ assessment preferences at King Faisal University, Saudi Arabia. Advances in Medical Education and Practice, 2, 95–103.CrossRefGoogle Scholar
  4. Anderson, E. S., & Keith, T. Z. (1997). A longitudinal test of a model of academic success for at-risk high school students. Journal of Educational Research, 90, 259–268.CrossRefGoogle Scholar
  5. Arbuckle, J. L. (2008). AMOS 17 user’s guide. Chicago: SPSS.Google Scholar
  6. Bartram, B., & Bailey, C. (2010). Assessment preferences: a comparison of UK/international students at an English university. Research in Post-Compulsory Education, 15, 177–187.CrossRefGoogle Scholar
  7. Bauer, K. W., & Liang, Q. (2003). The effect of personality and precollege characteristics on first-year activities and academic performance. Journal of College Student Development, 44, 277–290.CrossRefGoogle Scholar
  8. Billington, H. L. (1997). Poster presentation and peer assessment: Novel forms of evaluation and assessment. Journal of Biological Education, 31(3), 218–220.CrossRefGoogle Scholar
  9. Birenbaum, M. (1997). Assessment preferences and their relationship to learning strategies and orientations. Higher Education, 33, 71–84.CrossRefGoogle Scholar
  10. Birenbaum, M. (2007). Assessment and instruction preferences and their relationship with test anxiety and learning strategies. Higher Education, 53, 749–768.CrossRefGoogle Scholar
  11. Brown, G., & Glasner, A. (2003). Assessment matters in higher education: choosing and using diverse approaches. Buckingham: Open University Press, SRHE.Google Scholar
  12. Busato, V. V., Prins, F. J., Elshout, J. J., & Hamaker, C. (2000). Intellectual ability, learning style, achievement motivation and academic success of psychology students in higher education. Personality and Individual Differences, 29, 1057–1068.CrossRefGoogle Scholar
  13. Byrne, B. M. (2006). Structural equation modelling with EQS: Basic concepts, applications, and programming (2nd ed.). Mahwah, NJ: Erlbaum.Google Scholar
  14. Chamorro-Premuzic, T., Ahmetoglu, G., & Furnham, A. (2008). Little more than personality: Trait determinants of test anxiety. Learning and Individual Differences, 18, 258–263.CrossRefGoogle Scholar
  15. Chamorro-Premuzic, T., & Arteche, A. (2008). Intellectual competence and academic performance: Preliminary validation of a model. Intelligence, 36, 564–573.CrossRefGoogle Scholar
  16. Chamorro-Premuzic, T., & Furnham, A. (2003a). Personality predicts academic performance: Evidence from two longitudinal studies on British university students. Journal of Research in Personality, 37, 319–338.CrossRefGoogle Scholar
  17. Chamorro-Premuzic, T., & Furnham, A. (2003b). Personality traits and academic exam performance. European Journal of Personality, 17, 237–250.CrossRefGoogle Scholar
  18. Chamorro-Premuzic, T., & Furnham, A. (2005). Personality and intellectual competence. Mahwah, NJ: Erlbaum.Google Scholar
  19. Chamorro-Premuzic, T., Furnham, A., Dissou, G., & Heaven, P. (2005). Personality and preference for academic assessment: A study with Australian University students. Learning and Individual Differences, 15, 247–257.CrossRefGoogle Scholar
  20. Chamorro-Premuzic, T., Furnham, A., & Moutafi, J. (2004). The relationship between psychometric and estimated personality and intelligence scores. Journal of Research in Personality, 38, 505–513.CrossRefGoogle Scholar
  21. Costa, P. T, Jr, & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
  22. De Fruyt, F., & Mervielde, I. (1996). Personality and interests as predictors of streaming and achievement. European Journal of Personality, 10, 405–425.CrossRefGoogle Scholar
  23. Deary, I., Stand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35, 13–21.CrossRefGoogle Scholar
  24. DiFabio, A., & Busoni, L. (2007). Fluid intelligence, personality traits and scholastic success: Empirical evidence in a sample of Italian high school students. Personality and Individual Differences, 43, 2095–2104.CrossRefGoogle Scholar
  25. DiRienzo, C., Das, J., Synn, W., Kitts, J., & McGrath, K. (2010). The relationship between MBTI and academic performance. Journal of Psychological Type, 70, 53–66.Google Scholar
  26. Drabick, D., Weisberg, R., Paul, L., & Bubier, J. (2007). Keeping it short and sweet. Teaching of Psychology, 34, 172–176.CrossRefGoogle Scholar
  27. Duff, A., Boyle, E., & Dunleavy, J. F. (2004). The relationship between personality, approach to learning and academic performance. Personality and Individual Differences, 36, 1907–1920.CrossRefGoogle Scholar
  28. Edgerton, E., & McKechnie, J. (2002). Students’ views Chamorro-Premuzic, T. (2003). Personality traits and academic exam performance. European Journal of Personality, 17, 237–250.Google Scholar
  29. Feingold, A. (1996). Cognitive and gender differences. Learning and Individual Differences, 8, 25–32.CrossRefGoogle Scholar
  30. Furnham, A. (2008). Personality and intelligence at work. London: Routledge.CrossRefGoogle Scholar
  31. Furnham, A., Batey, M., & Martin, N. (2011). How would you like to be evaluated? The correlates of students’ preferences for assessment methods. Personality and Individual Differences, 50, 259–263.CrossRefGoogle Scholar
  32. Furnham, A., & Chamorro-Premuzic, T. (2005a). Personality, intelligence, and general knowledge. Learning and Individual Differences, 16, 69–90.Google Scholar
  33. Furnham, A., & Chamorro-Premuzic, T. (2005b). Individual differences and beliefs concerning preference for university assessment methods. Journal of Applied Social Psychology, 35, 1968–1994.CrossRefGoogle Scholar
  34. Furnham, A., Chamorro-Premuzic, T., & McDougall, F. (2003). Personality, cognitive ability and beliefs about intelligence as predictors of academic performance. Learning and Individual Differences, 14, 47–64.CrossRefGoogle Scholar
  35. Gijbels, D., & Dochy, F. (2006). Students’ assessment preferences and approaches to learning. Educational Studies, 32, 399–409.CrossRefGoogle Scholar
  36. Goff, M., & Ackerman, P. L. (1992). Personality–intelligence relations: Assessment of typical intellectual engagement. Journal of Educational Psychology, 84, 537–552.CrossRefGoogle Scholar
  37. Gray, E. K., & Watson, D. (2002). General and specific traits of personality and their relation to sleep and academic performance. Journal of Personality, 70, 177–206.CrossRefGoogle Scholar
  38. Heywood, J. (2000). Assessment in higher education: Student learning, teaching programmes and institutions. London: Jessica Kingsley.Google Scholar
  39. Hyde, J. S., & Lynn, R. (1998). Gender differences in verbal ability: A meta-analysis. Psychological Bulletin, 104, 53–69.CrossRefGoogle Scholar
  40. Ismail, A., Hussain, R., & Jamaluddin, S. (2010). Assessment of students’ learning styles preferences in the faculty of science, Tishreen University, Syria. Procedia, Social and Behavioural Sciences, 2, 4087–4091.CrossRefGoogle Scholar
  41. Jackson, D., & Rushton, J. (2006). Males have greater g. Intelligence, 34, 479–486.CrossRefGoogle Scholar
  42. Johnson, W., & Bouchard, T. (2007). Sex differences in mental abilities. Intelligence, 35, 23–39.CrossRefGoogle Scholar
  43. Kelloway, E. K. (1998). Using LISREL for structural equation modeling: A researcher’s guide. Thousand Oaks, CA: Sage.Google Scholar
  44. Kniveton, B. (1996). Student perceptions of assessment methods. Assessment and Evaluations in Higher Education, 21, 229–238.CrossRefGoogle Scholar
  45. Laborde, S., Dosseville, F., & Scelles, N. (2010). Trait emotional intelligence and preference for intuition and deliberation. Personality and Individual Differences, 49, 784–788.CrossRefGoogle Scholar
  46. Loehlin, J. C. (1987). Latent variable models: An introduction to factor, path, and structural analysis. Hillsdale, NJ: Erlbaum.Google Scholar
  47. Marlin, J. (1987). Student perception of end-of-course-evaluations. Journal of Higher Education, 58, 704–716.CrossRefGoogle Scholar
  48. Maruyama, G. (1998). Basics of structural equation modeling. Thousand Oaks, CA: Sage.Google Scholar
  49. McManus, I. C., & Furnham, A. (2006). Aesthetic activities and aesthetic attitudes. British Journal of Psychology, 97, 555–587.CrossRefGoogle Scholar
  50. Noftle, E. E., & Robins, R. W. (2007). Personality predictors of academic outcomes: Big Five correlates of GPA and SAT scores. Journal of Personality and Social Psychology, 93, 116–130.CrossRefGoogle Scholar
  51. O’Connor, M., & Paunonen, S. (2007). Big Five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43, 971–990.CrossRefGoogle Scholar
  52. Poropat, A. (2009). A meta-analysis of the five factor model of personality and academic performance. Psychological Bulletin, 135, 322–338.CrossRefGoogle Scholar
  53. Poropat, A. (2011). The Eysenckian personality factors and their correlations with academic performance. British Journal of Educational Psychology, 81, 41–58.CrossRefGoogle Scholar
  54. Revelle, W. (2007). Experimental approaches to the study of personality. In R. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology (pp. 37–61). New York: Guilford.Google Scholar
  55. Rothstein, M., Paunonen, S., Rush, J., & King, G. (1994). Personality and cognitive ability predictors of performance in graduate business school. Journal of Educational Psychology, 86, 516–530.CrossRefGoogle Scholar
  56. Sanchez-Marin, M., Rejano-Infante, E., & Rodriguez-Troyano, Y. (2001). Personality and academic productivity in the university student. Social Behavior and Personality, 29, 299–305.CrossRefGoogle Scholar
  57. Sanchez-Ruiz, M., Perez-Gonzalez, J., & Petrides, K. V. (2010). Trait emotional intelligence profiles of students from different university faculties. Australian Journal of Psychology, 62, 51–57.CrossRefGoogle Scholar
  58. Scouller, K. (1998). The influence of assessment method on students’ learning approaches: Multiple choice question examination versus essay. Higher Education, 35, 453–472.CrossRefGoogle Scholar
  59. Scouller, K., & Prosser, M. (1994). Students’ experiences in studying for multiple choice question examinations. Studies in Higher Education, 19, 267–279.CrossRefGoogle Scholar
  60. Segers, M., & Dochy, F. (2001). New assessment forms in problem-based learning. Studies in Higher Education, 26, 327–343.CrossRefGoogle Scholar
  61. Struyven, K., Dochy, F., & Janssens, S. (2005). Students’ perceptions about evaluation and assessment in higher education: A review. Assessment and Evaluation in Higher Education, 30, 325–341.CrossRefGoogle Scholar
  62. Van Bragt, C., Bakx, A., Bergen, T., & Croon, M. (2011). Looking for students’ personal characteristics predicting study outcome. Higher Education, 61, 59–75.CrossRefGoogle Scholar
  63. Van de Watering, G., Gijbels, D., Dochy, F., & van der Rijt, J. (2008). Students’ assessment preferences, perceptions of assessment and their relationships to study results. Higher Education, 56, 645–658.CrossRefGoogle Scholar
  64. Wells, A., & Matthews, G. (1994). Attention and emotion: A clinical perspective. Hove: Erlbaum.Google Scholar
  65. Wolf, M. B., & Ackerman, P. L. (2005). Extraversion and intelligence: A meta-analytic investigation. Personality and Individual Differences, 39(3), 531–542.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Adrian Furnham
    • 1
    Email author
  • Sarah Nuygards
    • 2
  • Tomas Chamorro-Premuzic
    • 1
  1. 1.Research Department of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
  2. 2.Department of PsychologyGoldsmiths, University of LondonLondonUK

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