2,243
Views
2
CrossRef citations to date
0
Altmetric
Original Article

Teacher characteristics as predictors of mathematics attitude and perceptions of engaged teaching among 12th grade advanced mathematics students in the U.S

, , , , ORCID Icon &

References

  • Aaronson, D., Barrow, L., & Sanders, W. (2003). Teachers and student achievement in the Chicago Public High Schools (Unpublished manuscript). Federal Reserve Bank of Chicago, Chicago, IL.
  • Ajzen, I. (2001). Nature and operation of attitudes. Annual Review of Psychology, 52(1), 27–58.
  • Akiba, M., LeTendre, G., & Scribner, J. (2007). Teacher quality, opportunity gap, and national achievement in 46 countries. Educational Researcher, 36(7), 369–387.
  • Ballou, D., Sanders, W., & Wright, P. (2004). Controlling for student background in value-added assessment of teachers. Journal of Educational and Behavioral Statistics, 29(1), 37–66.
  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.
  • Blomeke, S., Olsen, R., & Suhl, U. (2016). Relation of student achievement to the quality of their teachers and instructional quality. In T. Nilsen & J. Gustafsson (Eds.), Teacher quality, instructional quality and student outcomes. IEA Research for Education (Vol. 2, pp. 21–50). Cham, Switzerland: Springer.
  • Burroughs, N., Gardner, J., Lee, Y., Guo, S., Touitou, I., Jansen, K., & Schmidt, W. (2019). Teaching for excellence and equity: Analyzing teacher characteristics, behaviors and student outcomes with TIMSS (Vol. 6). Cham, Switzerland: Springer.
  • Buxton, L. (1981). Do you panic about maths? London: Heinemann.
  • Çiftçi, Ş. K., & Yıldız, P. (2019). The effect of self-confidence on mathematics achievement: The meta-analysis of Trends in International Mathematics and Science Study (TIMSS). International Journal of Instruction, 12(2), 683–694.
  • Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2006). Teacher-student matching and the assessment of teacher effectiveness. The Journal of Human Resources, XLI(4), 778–820.
  • Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2007). Teacher credentials and student achievement: Longitudinal analysis with student fixed effects. Economics of Education Review, 26(6), 673–682.
  • Deci, E. L., & Ryan, R. M. (1995). Human autonomy: The basis for true self-esteem. In M. Kernis (Ed.), Efficacy, agency, and self-esteem (pp. 3149). New York: Plenum.
  • Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum Press.
  • Dee, T. S. (2007). Teachers and the gender gaps in student achievement. The Journal of Human Resources, 42(3), 528–554.
  • Dickhauser, O., Dinger, F. C., Janke, S., Spinath, B., & Steinmayr, R. (2016). A prospective correlational analysis of achievement goals as mediating constructs linking distal motivational dispositions to intrinsic motivation and academic achievement. Learning and Individual Differences, 50, 30–41.
  • Ellis, J., Fosdick, B. K., & Rasmussen, C. (2016). Women 1.5 times more likely to leave STEM pipeline after calculus compared to men: Lack of mathematical confidence a potential culprit. PLoS One, 11(7), e0157447.
  • Else-Quest, N., Hyde, J. S., & Linn, M. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136(1), 103–127.
  • Gustafsson, J., & Nilsen, T. (2016). The impact of school climate and teacher quality on mathematics achievement: A difference-in-differences approach. In T. Nilsen & J. Gustafsson (Eds.), Teacher quality, instructional quality and student outcomes, IEA Research for Education (Vol. 2, pp. 81–95). Cham, Switzerland: Springer.
  • Hanushek, E., Kain, J., O’Brien, D., & Rivkin, S. (2005). The market for teacher quality (Unpublished manuscript). Palo Alto, CA: Stanford University.
  • Hanushek, E., & Luque, J. (2003). Efficiency and equity in schools around the world. Economics of Education Review, 22(5), 481–502.
  • Harris, D. N., & Sass, T. R. (2011). Teacher training, teacher quality and student achievement. Journal of Public Economics, 95(7–8), 798–812.
  • Hattie, J. A. C. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. New York, NY: Routledge.
  • Hooper, M., Mullis, I. V. S., Martin, M. O., & Fishbein, B. (2017). TIMSS 2019 context questionnaire framework. In I. V. S. Mullis, & M. O. Martin (Eds.), TIMSS 2019 assessment frameworks (pp. 57–78). Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College. Retrieved from: http://timssandpirls.bc.edu/timss2019/frameworks/
  • Kalaycioglu, D. B. (2015). The influence of socioeconomic status, self-efficacy, and anxiety on mathematics achievement in England, Greece, Hong Kong, the Netherlands, Turkey, and the USA. Educational Sciences: Theory and Practice, 15(5), 1391–1401.
  • Karakolidis, A., Pitsia, V., & Emvalotis, A. (2016). Examining students’ achievement in mathematics: A multilevel analysis of the Programme for International Student Assessment (PISA) 2012 data for Greece. International Journal of Educational Research, 79, 106–115.
  • Lee, J., & Stankov, L. (2018). Non-cognitive predictors of academic achievement: Evidence from TIMSS and PISA. Learning and Individual Differences, 65, 50–64.
  • Luschei, T., & Chudgar, A. (2011). Teachers, student achievement, and national income: A cross-national examination of relationships and interactions. Prospects, 41(4), 507–533.
  • Ma, X., & Kishor, N. (1997). Assessing the relationship between attitude toward mathematics and achievement in mathematics: A meta-analysis. Journal for Research in Mathematics Education, 28(1), 26–47.
  • Martin, M. O., Mullis, I. V. S., & Hooper, M. (2016). Methods and procedures in TIMSS Advanced 2015. Chestnut Hill: TIMSS & PIRLS International Study Center, Boston College.
  • Michaelides, M. P., Brown, G. T. L., Eklöf, H., & Papanastasiou, E. (2019). Motivational profiles in TIMSS mathematics: Exploring student clusters across countries and time. Cham, Switzerland: IEA Research for Education and Springer Open. ISBN: 978-3-030-26182-5.
  • Montt, G. (2011). Cross-national differences in educational achievement inequality. Sociology of Education, 84(1), 49–68.
  • Mullis, I. V. S., Martin, M. O., Gonzales, E. J., & Chrostowski, S. J. (2004). TIMSS 2003 international mathematics 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.
  • Nye, B., Konstantopoulos, S., & Hedges, L. V. (2004). How large are teacher effects? Educational Evaluation and Policy Analysis, 26(3), 237–257.
  • Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1079.
  • R Core Team. (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
  • Rivkin, S., Hanushek, E., & Kain, J. (2005). Teachers, schools and academic achievement. Econometrica, 73(2), 418–458.
  • Rockoff, J. (2004). The impact of individual teachers on student achievement: Evidence from panel data. American Economic Review, 94(2), 247–252.
  • Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In M. Rosenberg, C. Hovland, W. McGuire, R. Abelson, & J. Brehm (Eds.), Attitude organization and change (pp. 1–14). New Haven, CT: Yale University Press.
  • Sansone, D. (2017). Why does teacher gender matter? Economics of Education Review, 61, 9–18.
  • Sithole, A., Chiyaka, E. T., McCarthy, P., Mupinga, D. M., Bucklein, B. K., & Kibirige, J. (2017). Student attraction, persistence and retention in STEM programs: Successes and continuing challenges. Higher Education Studies, 7(1), 46–59.
  • Walberg, H. J. (1981). A psychological theory of educational productivity. In F. H. Farley & N. J. Gordon (Eds.), Psychology and education,81–110. Chicago: National Society for the Study of Education.
  • Walberg, H. J. (1992). The knowledge base for educational productivity. International Journal of Educational Reform, 7(1), 5–15.
  • Winters, M. A., Haight, R. C., Swaim, T. T., & Pickering, K. A. (2013). The effect of same-gender teacher assignment on student achievement in the elementary and secondary grades: Evidence from panel data. Economics of Education Review, 34, 69–75.
  • Woessman, L. (2003). Schooling resources, educational institutions, and student performance: The international evidence. Oxford Bulletin of Economics and Statistics, 65(2), 117–170.
  • Yurt, E. (2015). Understanding Middle School Students’ Motivation in Math Class: The Expectancy-Value Model Perspective. International Journal of Education in Mathematics, Science, and Technology,3(4), 288–297. doi:https://doi.org/10.18404/ijemst.26938.