The Big Fish-Little Pond Effect on Affective Factors Based on PISA 2012 Mathematics Achievement

Yıl 2017, Cilt: 8 Sayı: 1, 1 - 14, 03.04.2017

Dilara Bakan Kalaycıoğlu

https://doi.org/10.21031/epod.297686

Cited By: 1

Öz

In this study, the 2012 PISA Turkey student questionnaire data is
considered to determine the big fish-little pond effect. The mathematics
self-efficacy, self-concept and anxiety affective factors are examined to
explain the relation of each of them with the school type, gender, socioeconomic
status, student’s mathematics achievement and school’s mathematics achievement
covariates. A total number of 771 students from 88 high schools are in the
sample. Factor analyses’ results support the construct validity of the Student
Questionnaire’s mathematics self-efficacy, anxiety and self-concept items. Data
set is analyzed with Multiple Indicator Multiple Cause Model and the patterns
of association with covariates and affective factors were tested
simultaneously. According to the results, Anatolian high school students have a
higher mathematics self-efficacy and lower mathematics anxiety than do the
general high school students. However, when the student mathematics achievement
and school mathematics achievement variables were inserted to the model, school
type was not associated with mathematics self-efficacy. Moreover, Anatolian
high school student’s mathematics anxiety was higher than that of the general
high school students. Student’s mathematics achievement was the most
significant predictor of the mathematics self-efficacy, anxiety and
self-concept factors. Finally, school’s mathematics achievement was a
significant predictor of only mathematics self-concept. The identification of
increase in school’s mathematics achievement yields a decrease in the student’s
mathematics self-concept may be considered as the most important result of this
study. These results provide evidence about the Anatolian high schools’
students experience big fish-little pond effect.

Anahtar Kelimeler

Big fish-little pond effect, mathematics self-efficacy, anxiety, self-concept

Kaynakça

• Alcı, B., Erden, M., & Baykal, A. (2010). Üniversite öğrencilerinin matematik başarıları ile algıladıkları problem çözme becerileri, özyeterlik algıları, bilişüstü özdüzenleme stratejileri ve ÖSS sayısal puanları arasındaki açıklayıcı ve yordayıcı ilişkiler örüntüsü. Boğaziçi Üniversitesi Eğitim Dergisi, 25(2), 53-68.
• Altun, F., & Yazıcı, H. (2013). Ergenlerin benlik algılarının yordayıcıları olarak: akademik öz-yeterlik inancı ve akademik başarı. Kastamonu Eğitim Dergisi, 21(1), 145-156.
• Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181-185.
• Baloglu, M., & Kocak, R. (2006). A multivariate investigation of the differences in mathematics anxiety. Personality and Individual Differences, 40(7), 1325-1335.
• Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117-148.
• Bong, M. (1998). Personal factors affecting the generality of academic self-efficacy judgments: Gender, ethnicity, and relative expertise. Journal of Experimental Education, 67, 315–331.
• Cassady, J. C., & Johnson, R. E. (2002). Cognitive test anxiety and academic performance. Contemporary Educational Psychology, 27(2), 270-295. doi:10.1006/ceps.2001.1094
• Chiu, M. M., & Xihua, Z. (2008). Family and motivation effects on mathematics achievement: Analyses of students in 41 countries. Learning and Instruction, 18, 321-336. doi:110.1016/j.learningstruc.2007.06.003
• Cooper, S. E., & Robinson, D. A. (1989). The influence of gender and anxiety on mathematics performance. Journal of College Student Development, 30(5), 459-461.
• Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117-140.
• Geist, E. (2010). The anti-anxiety curriculum: Combating math anxiety in the classroom. Journal of Instructional Psychology, 37(1), 24-31.
• Hammouri, H. (2010). Attitudinal and motivational variables related to mathematics achievement in Jordan: findings from the TIMSS. Educational Research, 46(3), 241-257. doi:10.1080/0013188042000277313
• Hattie, J. A. (1992). Self-concept. Hillsdale, NJ: Erlbaum.
• Hembree, R. (1990). The nature, effects and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33-46.
• Ho, E. S. (2009). Characteristics of East Asian learners: what we learned from PISA. Educational Research Journal, 24(2), 327-348.
• Ho, H., Senturk, D., Lam, A. G., Zimmer, J. M., Hong, S., Okamoto, Y., Chiu, S., Nakazawa, Y., & Wang, C. (2000). The affective and cognitive dimensions of math anxiety: A crossnational study. Journal for Research in Mathematics Education, 31(3), 362-379.
• Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424-453.
• İş Güzel, Ç., & Berberoğlu, G. (2010). Students’ affective characteristics and their relation to mathematical literacy measures in the Programme for International Student Assessment (PISA) 2003. Eurasian Journal of Educational Research, 4, 93-113.
• Jain, S., & Dowson, M. (2009). Mathematics anxiety as a function of multidimensional self-regulation and self-efficacy. Contemporary Educational Psychology, 34(3), 240-249.
• Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User's reference guide. Chicago: Scientific Software International. Inc.
• Jöreskog, K. G., & Sörbom, D. (2006). LISREL 8.80 for Windows. Lincolnwood, IL: Scientific Software International, Inc.
• Kurbanoğlu, N. I., & Takunyacı, M. (2012). An investigation of the attitudes, anxieties and self-efficacy beliefs towards mathematics lessons high school students’ in terms of gender, types of school, and students’ grades. International Journal of Human Sciences, 9(1), 110-130.
• Ma, X. (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for Research in Mathematics Education, 30(5), 520-540.
• Marsh, H. W., Abduljabbar, A. S., Parker, P. D., Morin, A. J., Abdelfattah, F., & Nagengast, B. (2014). The big-fish-little-pond effect in mathematics a cross-cultural comparison of US and Saudi Arabian TIMSS responses. Journal of Cross-Cultural Psychology, 45(5), 777-804.
• Marsh, H. W., Chessor, D., Craven, R., & Roche, L. (1995). The effects of gifted and talented programs on academic self-concept: The big fish strikes again. American Educational Research Journal, 32(2), 285-319.
• 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(5), 364-376.
• Marsh, H. W., Hau, K. T., Artelt, C., Baumert, J., & Peschar, J. L. (2006). OECD's brief self-report measure of educational psychology's most useful affective constructs: Cross-cultural, psychometric comparisons across 25 countries. International Journal of Testing, 6(4), 311-360.
• Marsh, H. W., Kong, C. K., & Hau, K. T. (2000). Longitudinal multilevel models of the big-fish-little-pond effect on academic self-concept: Counterbalancing contrast and reflected-glory effects in Hong Kong schools. Journal of Personality and Social Psychology, 78(2), 337-349.
• Marsh, H. W., Köller, O., & Baumert, J. (2001). Reunification of East and West German school systems: Longitudinal multilevel modeling study of the big-fish-little-pond effect on academic self-concept. American Educational Research Journal, 38(2), 321-350.
• Marsh, H. W., Trautwein, U., Lüdtke, O., Köller, O., & Baumert, J. (2005). Academic self‐concept, interest, grades, and standardized test scores: Reciprocal effects models of causal ordering. Child Development, 76(2), 397-416.
• 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(3), 631-669.
• McCarthy, J. M., & Goffin, R. D. (2005). Selection test anxiety: Exploring tension and fear of failure across the sexes in simulated selection scenarios. International Journal of Selection and Assessment, 13(4), 282-295.
• Nagengast, B., & Marsh, H. W. (2011). The negative effect of school-average ability on science self-concept in the UK, UK countries and the world: The big-fish-little-pond-effect for PISA 2006. Educational Psychology, 31(5), 629-656. doi: 10.1080/01443420.2011.586416
• OECD (2009). PISA data analysis manual SPSS (2nd edition). Paris: Publications.
• OECD (2013). PISA 2012 Assessment and Analytical Framework: Mathematics, Reading, Science, Problem Solving and Financial Literacy, OECD Publishing. http://dx.doi.org/10.1787/9789264190511-en
• Özel, M., Çağlak, S., & Erdoğan, M. (2012). Are affective factors good predictor of science achievement? Examining the role of affective factors based on PISA 2006. Learning and Individual Differences, 24, 73-82. doi:10.1016/j.lindif.2012.09.006
• Özgen, K., & Bindak, R. (2011). Lise öğrencilerinin matematik okuryazarlığına yönelik öz-yeterlik inançlarının belirlenmesi. Kuram ve Uygulamada Eğitim Bilimleri, 11(2), 1073-1089.
• Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543-578.
• Pajares, F., & Graham, L. (1999). Self-efficacy, motivation constructs, and mathematics performance of entering middle school students. Contemporary Educational Psychology, 24(2), 124-139.
• Pajares, F., & Miller, M. D. (1994). Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis. Journal of Educational Psychology, 86(2), 193-203.
• Reyes, L. H. (1984). Affective variables and mathematics education. The Elementary School Journal, 84(5), 558-581.
• Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling. Routledge NY.
• Seaton, M., Marsh, H. W., Yeung, A. S., & Craven, R. (2011). The big fish down under: Examining moderators of the ‘big-fish-little-pond’effect for Australia's high achievers. Australian Journal of Education, 55(2), 93-114.
• Seipp, B. (1991). Anxiety and academic performance: A meta-analysis of findings. Anxiety Research, 4, 27-41.
• Taşdemir, C. (2012). Lise son sınıf öğrencilerinin matematik öz-yeterlik düzeylerinin bazı değişkenler açısından incelenmesi (Bitlis ili örneği). Karadeniz Fen Bilimleri Dergisi, 2(6), 39-50.
• Wigfield, A., & Meece, J. L. (1988). Math anxiety in elementary and secondary school students. Journal of Educational Psychology, 80(2), 210-216.
• Wilkins, J. L. (2004). Mathematics and science self-concept: An international investigation. The Journal of Experimental Education, 72(4), 331-346.
• Wilkins, J. L. M., Zembylas, M., & Travers, K. J. (2002). Investigating correlates of mathematics and science literacy in the final year of secondary school. In D. F Robataille & A. E. Beaton (Eds.), Secondary analysis of the TIMSS data. Boston, MA: Kluwer Academic.
• Wood, J. V. (1989). Theory and research concerning social comparisons of personal attributes. Psychological Bulletin, 106(2), 231-248.
• Wu, M. L., & Adams, R. J. (2002). Plausible values–why are they important. Paper presented at the International Objective Measurement Workshop, New Orleans, LA.