O 3 Ina V. S. Mullis Michael O. Martin, Matthias von Davier, Editors timss 2023 Assessment Frameworks

TIMSS & PIRLS
Lynch School of Education
International Study Center
TIMSS 2023 CONTEXT QUESTIONNAIRE FRAMEWORK 
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64 Center for Disease Control and Prevention. (2018). Youth risk behavior surveillance—United States, 2017. MMWR 
Surveillance Summaries 2018, 67(8).
65 Konishi, C., Hymel, S., Zumbo, B. D., & Li, Z. (2010). Do school bullying and student-teacher relationships 
matter for academic achievement? A multilevel analysis. Canadian Journal of School Psychology, 25(1), 19–39.
66 Kowalski, R.M., & Limber, S.P. (2013). Psychological, physical, and academic correlates of cyberbullying and 
traditional bullying. Journal of Adolescent Health, 53, S13-S20.
67 Tokunaga, R.S. (2010). Following you home from school: A critical review and synthesis of research on 
cyberbullying victimization. Computers in Human Behavior, 26(3), 277–287.
68 Goddard, R., Goddard, Y., Kim, S.E., & Miller, R. (2015). A theoretical and empirical analysis of the roles of 
instructional leadership, teacher collaboration, and collective efficacy beliefs in support of student learning. 
American Journal of Education, 121(4), 501–530.
69 Tschannen-Moran, M., & Gareis, C. (2015). Faculty trust in the principal: An essential ingredient in high-
performing schools. Journal of Educational Administration, 53(1), 66–92.
70 Azaiez, H., & Slate, J.R. (2017). Student achievement differences as a function of principal longevity. Journal of 
Advances in Education Research, 2(3), 157-162.
71 Miller, A. (2013). Principal turnover and student achievement. Economics of Education Review, 36(3), 60–72.
72 Darling-Hammond, L. (2000). How teacher education matters. Journal of Teacher Education, 51(3), 166–173.
73 Hill, H.C., Rowan, B., & Ball, D.L. (2005). Effects of teachers’ mathematical knowledge for teaching on student 
achievement. American Educational Research Journal, 42(2), 371–406.
74 Harris, D.N., & Sass, T.R. (2011). Teacher training, teacher quality and student achievement. Journal of Public 
Economics, 95(7–8), 798–812.
75 Ladd, H.F., & Sorensen, L.C. (2017). Returns to teacher experience: Student achievement and motivation in 
middle school. Education Finance and Policy, 12(2), 241–279.
76 Papay, J.P., & Kraft, M. (2015). Productivity returns to experience in the teacher labor market: Methodological 
challenges and new evidence on long-term career improvement. Journal of Public Economics, 130, 105–119.
77 Yang, R., Porter, A.C., Massey, C.M., Merlino, J.F., & Desimone, L.M. (2019). Curriculum-based teacher 
professional development in middle school science: a comparison of training focused on cognitive science 
principles versus content knowledge. Journal of Research on Science Teaching, 57(4), 536-566.
78 Capps, D.K., Crawford, B.A., & Constas, M.A. (2012). A review of empirical literature on inquiry professional 
development: Alignment with best practices and a critique of the findings. Journal of Science Teacher Education, 
23(3), 291–318.
79 Darling-Hammond, L., & McLaughlin, M.W. (2011). Policies that support professional development in an era of 
reform. Phi Delta Kappan Magazine, 92(6), 81–92.
80 Hanushek, E.A., & Wößmann, L. (2017). School resources and student achievement: A review of cross-country 
economic research. In M. Rosén, K.Y. Hansen, & U. Wolff (Eds.), Cognitive Abilities and Educational Outcomes 
(pp. 149–171). Methodology of Educational Measurement and Assessment. Switzerland: Springer International 
Publishing.
81 Mullis, I.V.S., Martin, M.O., & Loveless, T. (2016). 20 years of TIMSS: International trends in mathematics and 
science achievement, curriculum, and instruction. Chestnut Hill, MA: TIMSS & PIRLS International Study 
Center, Boston College. 

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