Investigation of the Big-Fish-Little-Pond Effect on Students' Self-Concept of Learning Mathematics and Science in Taiwan: Results from TIMSS 2011

Asia-Pacific Education Researcher

Volumn 23, Issue 3, 2014, Pages 769-778

  Liou, Pey Yan ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

BFLPE; HLM; Self concept of learning mathematics; Self concept of learning science; TIMSS

Indexed keywords

EID: 84905705514     PISSN: 01195646     EISSN: 22437908     Source Type: Journal    
DOI: 10.1007/s40299-013-0152-3     Document Type: Article

References (52)

1. Bempechat, J., Jimenez, N. V., & Boulay, B. A. (2002). Cultural-cognitive issues in academic achievement: New directions for cross-national research. In A. C. Porter & A. Gamoran (Eds.), Methodological advances in cross-national surveys of educational achievement (pp. 117-150). Washington, DC: National Academy Press.
2. Byrne, B. M., & Shavelson, R. J. (1986). On the structure of adolescent self-concept. Journal of Educational Psychology, 78, 474-481.
3. Chen, S.-F., Lin, C.-Y., Wang, J.-R., Lin, S.-W., & Kao, H.-L. (2012). A cross-grade comparison to examine the context effect on the relationships among family resources, school climate, learning participation, science attitude, and science achievement based on TIMSS 2003 in Taiwan. International Journal of Science Education, 34(14), 2089-2106.
4. Chiu, M.-S. (2012). The internal/external frame of reference model, big-fish-little-pond effect, and combined model for mathematics and science. Journal of Educational Psychology, 104(1), 87-107.
5. Eccles, J. S., & Jacobs, J. E. (1986). Social forces shape math attitudes and performance. Signs: Journal of Women in Culture and Society, 11(2), 367-380.
6. Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117-140.
7. Heine, S. J., Lehman, D. R., Peng, K., & Greenholtz, J. (2002). What's wrong with cross-cultural comparisons of subjective Likert scales: The reference-group problem. Journal of Personality and Social Psychology, 82, 903-918.
8. Krapp, A., & Prenzel, M. (2011). Research on interest in science: Theories, methods, and findings. International Journal of Science Education, 33(1), 27-50.
9. Kruglanski, A. W., & Mayseless, O. (1990). Classic and current social comparison research: Expanding the perspective. Psychological Bulletin, 108(2), 195-208.
10. Lee, J. (2009). Universals and specifics of math self-concept, math self-efficacy, and math anxiety across 41 PISA 2003 participating countries. Learning and Individual Differences, 19(3), 355-365.
11. Lee, J. W., Jones, P., Mineyama, Y., & Zhang, X. E. (2002). Cultural differences in responses to a Likert scale. Research in Nursing & Health, 25(4), 295-306.
12. Li, J. (2012). Cultural foundations of learning: East and West. New York: Cambridge University Press.
13. Liem, G. A. D., Marsh, H. W., Martin, A. J., McInerney, D. M., & Yeung, A. S. (2013). The big-fish-little-pond effect and a national policy of within-school ability streaming: Alternative frames of reference. American Educational Research Journal, 50(2), 326-370.
14. Liou, P.-Y. (under review) Examining the big-fish-little-pond effect on students' self-concept of learning science in Taiwan based on the TIMSS databases.
15. Marsh, H. W. (1984a). Self-concept, social comparison and ability grouping: A reply to Kulik and Kulik. American Educational Research Journal, 21, 799-806.
16. Marsh, H. W. (1984b). Self-concept: The application of a frame of reference model to explain paradoxical results. Australian Journal of Education, 28, 165-181.
17. Marsh, H. W. (1987a). The hierarchical structure of self-concept and the application of hierarchical confirmatory factor analysis. Journal of Educational Measurement, 24, 17-39.
18. Marsh, H. W. (1987b). The big-fish-little-pond effect on academic self-concept. Journal of Educational Psychology, 79, 280-295.
19. Marsh, H. W. (1989). Age and sex effects in multiple dimensions of self-concept: Preadolescence to early adulthood. Journal of Educational Psychology, 81(3), 41-54.
20. Marsh, H. W. (1991). Failure of high ability high schools to deliver academic benefits commensurate with their students' ability levels. American Educational Research Journal, 28, 445-480.
21. Marsh, H. W. (1992). Self description questionnaire (SDQ) II: A theoretical and empirical basis for the measurement of multiple dimensions of adolescent self-concept. A test manual and research monograph. Macarthur, NSW: Faculty of Education, University of Western Sydney.
22. Marsh, H. W., Chessor, D., Craven, R. G., & Roche, L. (1995). The effects of gifted and talented programs on academic self-concept: The big fish strikes again. American Educational Research Journal, 32, 285-319.
23. Marsh, H. W., & Craven, R. G. (2002). The pivotal role of frames of reference in academic self-concept formation: The big-fish-little-pond effect. In F. Pajares & T. Urdan (Eds.), Adolescence and education (Vol. II, pp. 83-123). Greenwich, CT: Information Age.
24. Marsh, H. W., & Hau, K.-T. (2003). Big-fish-little-pond effect on academic self-concept. A cross-cultural (26-country) test of the negative effects of academically selective schools. American Psychologist, 58, 364-376.
25. Marsh, H. W., & Rowe, K. J. (1996). The negative effects of school-average ability on academic self-concept: An application of multilevel modeling. Australian Journal of Education, 40, 65-87.
26. Marsh, H. W., Seaton, M., Trautwein, U., Lüdtke, O., Hau, K.-T., O'Mara, A. J., et al. (2008). The big-fish-little-pond effect stands up to critical scrutiny: Implications for theory, methodology, and future research. Educational Psychology Review, 20, 319-350.
27. Marsh, H. W., & Shavelson, R. J. (1985). Self-concept: Its multifaceted, hierarchical structure. Educational Psychologist, 20, 107-125.
28. Marsh, H. W., Trautwein, U., Lüdtke, O., Baumert, J., & Köller, O. (2007). The big-fish-little-pond effect: Persistent negative effects of selective high schools on self-concept after graduation. American Educational Research Journal, 44, 631-669.
29. Marsh, H. W., & Yeung, A. S. (1997). Coursework selection: Relations to academic self-concept and achievement. American Educational Research Journal, 34, 691-720.
30. Martin, M. O., Mullis, I. V. S., & Foy, P. (with Olson, J. F., Erberber, E., Preuschoff, C., & Galia, J.). (2008). TIMSS 2007 international science report: Findings from IEA's Trends in International Mathematics and Science Study at the fourth and eighth grades. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
31. Martin, M. O., & Mullis, I. V. S. (Eds.). (2012). Methods and procedures in TIMSS and PIRLS 2011. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
32. Ministry of Education (Taiwan). (2007). General guidelines of grade 1-9 curriculum: Science and technology. Taipei: Ministry of Education.
33. Mohammadpour, E. (2012). Factors accounting for mathematics achievement of Singaporean English eighth-graders. The Asia-Pacific Education Research, 21(3), 507-518.
34. Mullis, I. V. S., Martin, M. O., Ruddock, G. J., O'Sullivan, C. Y., & Preuschoff, C. (2009). TIMSS 2011 assessment frameworks. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
35. Nagengast, B., & Marsh, H. W. (2011). The negative effect of school-average ability on science self-concept in the UK, the UK countries and the world: the big-fish-little-pond effect for PISA 2006. Educational Psychology, 31(5), 629-656.
36. Nagengast, B., & Marsh, H. W. (2012). Big fish in little ponds aspire more: Mediation and cross-cultural generalizability of school-average ability effects on self-concept and career aspirations in science. Journal of Educational Psychology, 104(4), 1033-1053.
37. OECD (Organisation for Economic Co-operation and Development). (2007). PISA 2006: Science competences for tomorrow's world. Paris: OECD.
38. Olsen, R. V., Prenzel, M., & Martin, R. (2011). Interest in science: A many-faceted picture painted by data from the OECD PISA study. International Journal of Science Education, 33(1), 1-6.
39. Papanastasiou, E. C., & Zembylas, M. (2004). Differential effects of science attitudes and science achievement in Australia, Cyprus, and the USA. International Journal of Science Education, 26(3), 259-280.
40. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
41. Raudenbush, S. W., Bryk, A. S., & Congdon, R. (2005). HLM 6: Hierarchical linear and nonlinear modeling. Lincolnwood, IL: Scientific Software International Inc.
42. Rinn, A. N., McQueen, K. S., Clark, G. L., & Rumsey, J. L. (2008). Gender differences in gifted adolescent's math/verbal self-concepts and math/verbal achievement: Implications for the STEM fields. Journal for the Education of the Gifted, 32(1), 34-53.
43. Rutkowski, L., Gonzalez, E., Joncas, M., & von Davier, M. (2010). International large-scale assessment data: Issues in secondary analysis and reporting. Educational Researcher, 39(2), 142-151.
44. Seaton, M., Marsh, H. W., & Craven, R. G. (2009). Earning its place as a pan-human theory: universality of the big-fish-little-pond effect across 41 culturally diverse countries. Journal of Educational Psychology, 101, 403-419.
45. Shavelson, R. J., Hubner, J., & Stanton, G. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407-441.
46. Singh, K., Granville, M., & Dika, S. (2002). Mathematics and science achievement: Effects of motivation, interest, and academic engagement. The Journal of Educational Research, 95(6), 323-332.
47. Stankov, L. (2010). Unforgiving Confucian culture: A breeding ground for high academic achievement, test anxiety and self-doubt? Learning and Individual Differences, 20(6), 555-563.
48. Whang, P. A., & Hancock, G. R. (1994). Motivation and mathematics achievement: Comparison between Asian American and non-Asian students. Contemporary Educational Psychology, 19, 302-322.
49. Wilkins, J. L. M. (2004). Mathematics and science self-concept: An international investigation. The Journal of Experimental Education, 72(4), 331-346.
50. Wood, J. V. (1996). What is social comparison and how should we study it? Personality and Social Psychology Bulletin, 22(5), 520-537.
51. Wu, M. L. (2005). The role of plausible values in large-scale surveys. Studies in Educational Evaluation, 31, 114-128.
52. Zeng, K. (1999). Dragon gate: Comparative examinations and their consequences. London: Casell.