RESEARCH PAPER
Cross-Country Predictive Validities of Non-cognitive Variables for Mathematics Achievement: Evidence based on TIMSS 2015
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1
Associate Professor, School of Education, University of New South Wales, Sydney, AUSTRALIA
 
2
Research Analyst, Research, Analysis & Sampling Unit, the International Association for the Evaluation of Educational Achievement (IEA), Hamburg, GERMANY
 
 
Online publication date: 2019-04-08
 
 
Publication date: 2019-04-08
 
 
EURASIA J. Math., Sci Tech. Ed 2019;15(8):em1725
 
KEYWORDS
ABSTRACT
This study presents empirical findings demonstrating predictive validities of non-cognitive variables for mathematics achievement among primary and secondary school students from cross-country perspectives. Results based on TIMSS 2015 assessment showed that confidence was a moderately strong predictor of mathematics achievement in all TIMSS participant countries (100%). Interest, on the other hand, was a moderately strong predictor in most countries for eighth-graders (77%) but only in about a dozen countries for fourth-graders (20%), showing a stronger interest-achievement link for the secondary school students, from the cross-national perspective. The sense of belonging measure demonstrated a lack of its relevance to primary school students’ achievement. Further, bullying showed predictive relevance for student achievement only in three countries (South Africa, Jordan, and Egypt). The study concludes that while confidence was a universally relevant predictor of student achievement across all countries/regions, predictive utilities of interest, sense of belonging, and bullying appeared to be heavily dependent on a grade-level and country/regional context.
 
REFERENCES (56)
1.
Babchishin, K. M., & Helmus, L. M. (2016). The influence of base rates on correlations: An evaluation of proposed alternative effect sizes with real-world data. Behavior research methods, 48, 1021-1031. https://doi.org/10.3758/s13428....
 
2.
Bandura, A. (1989). Human agency in social cognitive theory. American psychologist, 44, 1175-1184. https://doi.org/10.1037/0003-0....
 
3.
Bandura, A. (2012). On the functional properties of perceived self-efficacy revisited. Journal of Management, 38, 9-44. https://doi.org/10.1177/014920....
 
4.
Baumeister, R., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117, 497–529. https://doi.org/10.1037/0033-2....
 
5.
Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15, 1-40. https://doi.org/10.1023/A:1021....
 
6.
Chen, X., Rubin, K. H., & Li, D. (1997). Relation between academic achievement and social adjustment: Evidence from Chinese children. Developmental psychology, 33, 518–525. https://doi.org/10.1037/0012-1....
 
7.
Craig, W. M. (1998). The relationship among bullying, victimization, depression, anxiety, and aggression in elementary school children. Personality and Individual Differences, 24, 123-130. https://doi.org/10.1016/S0191-....
 
8.
Deci, E., & Ryan, R. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19, 109–134. https://doi.org/10.1016/0092-6....
 
9.
Denissen, J. J., Zarrett, N. R., & Eccles, J. S. (2007). I like to do it, I’m able, and I know I am. Child Development, 78, 430–447. https://doi.org/10.1111/j.1467....
 
10.
Foy, P. (2017). TIMSS 2015 user guide for the international database. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. Retrieved from http://timssandpirls.bc.edu/ti....
 
11.
Frenzel, A. C., Thrash, T. M., Pekrun, R., & Goetz, T. (2007). Achievement emotions in Germany and China: A cross-cultural validation of the Academic Emotions Questionnaire—Mathematics. Journal of Cross-Cultural Psychology, 38(3), 302-309. https://doi.org/10.1177/002202....
 
12.
Fuller‐Rowell, T. E., & Doan, S. N. (2010). The social costs of academic success across ethnic groups. Child development, 81, 1696-1713. https://doi.org/10.1111/j.1467....
 
13.
Gifford-Smith, M. E., & Brownell, C. A. (2003). Childhood peer relationships: Social acceptance, friendships, and peer networks. Journal of school psychology, 41, 235-284. https://doi.org/10.1016/S0022-....
 
14.
Gottfried, A. E., Fleming, J. S., & Gottfried, A. W. (2001). Continuity of academic intrinsic motivation from childhood through late adolescence: A longitudinal study. Journal of educational psychology, 93, 3-13. https://doi.org/10.1037/0022-0....
 
15.
Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses related to achievement. London: Routledge, Taylor and Francis Group.
 
16.
Hoover, J. H., Oliver, R., & Hazler, R. J. (1992). Bullying: Perceptions of adolescent victims in the Midwestern USA. School Psychology International, 13, 5-16. https://doi.org/10.1177/014303....
 
17.
House, R. J., Hanges, P. J., Javidan, M., Dorfman, P. W., & Gupta, V. (Eds.). (2004). Culture, leadership, and organizations: The GLOBE study of 62 societies. Sage publications.
 
18.
Juvonen, J., Nixhina, A., & Graham, S. (2000). Peer harassment, psychological adjustment, and school functioning in early adolescence. Journal of Educational Psychology, 92, 349-359. https://doi.org/10.1037/0022-0....
 
19.
Kleitman, S., & Moscrop, T. (2010). Self-confidence and academic achievements in primary-school children: Their relationships and links to parental bonds, intelligence, age, and gender. In A. Efklides, & P. Misailidi (Eds.), Trends and prospects in metacognition research. Part 2 (pp. 293–326). New York: Springer, https://doi.org/10.1007/978-1-....
 
20.
Krapp, A. (1999). Interest, motivation and learning: An educational-psychological perspective. European Journal of Psychology of Education, XIV, 23-40. https://doi.org/10.1007/BF0317....
 
21.
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, 355-365. https://doi.org/10.1016/j.lind....
 
22.
Lee, J., & Durksen, T. L. (2018). Dimensions of academic interest among undergraduate students: passion, confidence, aspiration and self-expression. Educational Psychology, 38, 120-138. https://doi.org/10.1080/014434....
 
23.
Lee, J., & Shute, V. (2010). Personal and social-contextual factors in K-12 academic performance: An integrative perspective on student learning. Educational Psychologist, 45, 185-202. https://doi.org/10.1080/004615....
 
24.
Lee, J., & Stankov, L. (2013). A higher-order factorial structure among fifteen major educational-psychological constructs. Learning and Individual Differences, 26, 119-130. https://doi.org/10.1016/j.lind....
 
25.
Lee, J., & Stankov, L. (2016). Non-cognitive influences on academic achievement: Evidence from PISA and TIMSS. In Khine, M. S. (Eds.), Non-cognitive factors and educational attainment (pp. 33-57). The Netherlands: Springer. https://doi.org/10.1007/978-94....
 
26.
Lee, J., & Stankov, L. (2018). Non-cognitive predictors of academic achievement: Evidence from TIMSS and PISA. Learning and Individual Differences, 65, 50-64. https://doi.org/10.1016/j.lind....
 
27.
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1, 133–163. https://doi.org/10.1111/j.1745....
 
28.
Marsh, H. W., & Hau, K. T. (2004). Explaining paradoxical relations between academic self-concepts and achievements: Cross-cultural generalizability of the internal/external frame of reference predictions across 26 countries. Journal of Educational Psychology, 96(1), 56. https://doi.org/10.1037/0022-0....
 
29.
Marsh, H. W., & Shavelson, R. (1985). Self-concept: Its multifaceted, hierarchical structure. Educational Psychologist, 20, 107–123. https://doi.org/10.1207/s15326....
 
30.
Marsh, H. W., Ellis, L. A., & Craven, R. G. (2002). How do preschool children feel about themselves? Unraveling measurement and multidimensional self-concept structure. Developmental psychology, 38, 376-393. https://doi.org/10.1037/0012-1....
 
31.
Martin, M.O., Mullis, I.V.S., & Hooper, M. (Eds.). (2016). Methods and procedures in TIMSS 2015. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. Retrieved from http://timssandpirls.bc.edu/pu....
 
32.
Mattison, E. ., & Aber, M. S. (2007). Closing the achievement gap: the association of facial climate with achievement and behavioral outcomes. American Journal of Community Psychology, 40, 1-12. https://doi.org/10.1007/s10464....
 
33.
McGill, M. M., Decker, A., McKlin, T., & Haynie, K. (2019, February). A Gap Analysis of Noncognitive Constructs in Evaluation Instruments Designed for Computing Education. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 706-712). ACM. https://doi.org/10.1145/328732....
 
34.
Olweus, D. (1993). Bullying at school: What we know and what we can do. Oxford: Blackwell.
 
35.
Olweus, D. (2005). A useful evaluation design, and effects of the Olweus Bullying Prevention Program. Psychology, Crime & Law, 11, 389-402. https://doi.org/10.1080/106831....
 
36.
Osterman, K. F. (2000). Students’ need for belonging in the school community, Review of Educational Research, 70, 323-367. https://doi.org/10.3102/003465....
 
37.
Putro, N. H. P. S., & Lee, J. (2017). Reading interest in a digital age. Reading Psychology, 38, 778-807. https://doi.org/10.1080/027027....
 
38.
Rice, M. E., & Harris, G. T. (2005). Comparing effect sizes in follow-up studies: ROC Area, Cohen’s d, and r. Law and human behavior, 29, 615-620. https://doi.org/10.1007/s10979....
 
39.
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138, 353–387. https://doi.org/10.1037/a00268....
 
40.
Rigby, K. (1997). Bullying in schools and what to do about it. Melbourne, Australia: Australian Council for Educational Research.
 
41.
Roland, E. & Galloway, D. (2004). Professional cultures in schools with high and low rates of bullying. School Effectiveness and School Improvement, 15(3-4), 241-260. https://doi.org/10.1080/092434....
 
42.
Roland, E. (2000). Bullying in school: Three national innovations in Norwegian schools in 15 years. Aggressive Behavior, 26, 135-143. https://doi.org/10.1002/(SICI)...<135::AID-AB11>3.0.CO;2-3.
 
43.
Schwartz, D., Gorman, A. H., Nakamoto, J., & Toblin, R. L. (2005). Victimization in the peer group and children’s academic functioning. Journal of Educational Psychology, 97, 425. https://doi.org/10.1037/0022-0....
 
44.
Sheldon, S. B. (2003). Linking school-family-community partnerships in urban elementary schools to student achievement on state tests. The Urban Review, 35, 149-165. https://doi.org/10.1023/A:1023....
 
45.
Stankov, L. & Crawford, J. (1997) Self-confidence and performance on cognitive tests. Intelligence, 25, 93-109. https://doi.org/10.1016/S0160-....
 
46.
Stankov, L., & Lee, J. (2014). Quest for the best noncognitive predictor of academic achievement. Educational Psychology: An international journal of experimental educational psychology, 34, 1-8. https://doi.org/10.1080/014434....
 
47.
Stankov, L., Lee, J., Luo, W., & Hogan, D. (2012). Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety? Learning and Individual Differences, 22, 747-758. https://doi.org/10.1016/j.lind....
 
48.
Stankov, L., & Lee, J. (2015). Confidence and self-efficacy: Are they different? In Guay, F., McInerney, D., Craven, R., & Marsh, H. (Eds.), Self-concept, motivation and identity: Underpinning success with research and practice (pp. 225-248). Charlotte, NC: Information Age Publishing.
 
49.
Stankov, L., & Lee, J. (2016). Quest for the best non-cognitive predictor of academic achievement. In Lee, J., & Stankov, L. (Eds.), Noncognitive psychological processes and academic achievement (pp. 1-8). Oxon, UK: Routledge.
 
50.
Stankov, L., & Lee, J. (2017). Self-beliefs: Strong correlates of mathematics achievement and intelligence. Intelligence, 61, 11-16. https://doi.org/10.1016/j.inte....
 
51.
Vansteenkiste, M., Lens, W., & Deci, E. L. (2006). Intrinsic versus extrinsic goal contents in self-determination theory: Another look at the quality of academic motivation. Educational Psychologist, 41, 19-31. https://doi.org/10.1207/s15326....
 
52.
Wang, M-T., & Degol, J. L. (2016). School climate: A review of the construct, measurement, and impact on student outcomes. Educational Psychology Review, 28, 315-352. https://doi.org/10.1007/s10648....
 
53.
Wang, M-T., & Hugule, J. P. (2012). Parental racial socialization as a moderator of the effects of facial discrimination on educational success among African American adolescents. Child Development, 83, 1716-1731. https://doi.org/10.1111/j.1467....
 
54.
Wentzel, K. R. (1994). Relations of social goal pursuit to social acceptance, classroom behavior, and perceived social support. Journal of Educational Psychology, 86, 173-182. https://doi.org/10.1037/0022-0....
 
55.
Willms, J. D. (2003). Student engagement at school: A sense of belonging and participation. Results from PISA 2000. Paris: OECD.
 
56.
Yoneyama, S., & Naito, A. (2003). Problems with the paradigm: The school as a factor in understanding bullying (with special reference to Japan). British Journal of Sociology of Education, 24, 315-330. https://doi.org/10.1080/014256....
 
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