The Impact of Teacher, School, and Student Factors on Standardized Student Test Scores Using Multidimensional Approach


  •   Saoussan Maarouf


This study examines the effect of teacher (race, salary, and experience), school (climate and Financial Efficiency Star Rating), and student (attendance and mobility) factors on student Math and ELA standardized test scores in elementary (n = 1140) and middle (n = 451) public schools across the state of Georgia. The data used in this study was collected by Georgia Department of Education (GaDOE) during the 2018-2019 school year. Three multivariate linear regression models are utilized to explore the main and interaction effects within and between factors. The first model analyzes the main effects of the three independent variables (teacher, school, and student) separately and then in a single combined model accounting for all factors. Individual model approach reveals strong positive correlations with Math and ELA test scores for all factors. However, the impact of each factor is greatly diminished in a combined model approach. The second model reveals that the interaction effects within factors does not impact student test scores significantly. Meanwhile, results from the third model show that the interactions between the three independent variables yield a modest impact on student test scores. Findings from this study can guide educators and policymakers to focus on factors that can improve student standardized test scores and meet the accountability mandate for school achievement as set by the Every Student Succeeds Act (ESSA) of 2015 and its predecessor No Child Left Behind (NCLB) Act of 2001.


Keywords: Academic Achievement, Multivariate Linear Regression, School Resources, Standardized Testing, Teacher Quality


Ahmad, N., Ul-Saufie, A. Z., Mohamed, S. A., Ahmat, H., and Zahari, M. F. (2018). The impact of class absenteeism on student’s academic performance using regression models. AIP Conference Proceedings, 1974(1), 050012.

Balfanz, R. (2007). What your community can do to end its drop-out crisis: Learning from research and practice. Paper presented at the National Summit on America’s Silent Epidemic, Washington, DC.

Björk, L. G., Browne-Ferrigno, T., and Kowalski, T. J. (2014). The Superintendent and educational reform in the United States of America. Leadership and Policy in Schools, 13(4), 444-465.

Boyd, D., Grossman, P., Lankford, H., Loeb, S., and Wyckoff, J. (2008). Teacher preparation and student achievement (NBER Working Paper No. W14314). Cambridge, MA: National Bureau of Economic Research.

Brown, G. T. (2017). Purposes and functions of assessment. In G. T. Brown (Eds.), Assessment of student achievement (pp. 1-12).

Buddin, R. & Zamarro, G. (2009). Teacher qualifications and student achievement in urban elementary schools. Journal of Urban Economics, 66(2), 103-115.

Cassell, J. (2019). Relationships between student attendance and test scores on the Virginia standards of learning tests. ED. D. dissertation.

Chappuis, J., Stiggins, R. J., Chappuis, S., and Arter, J. (2020). Classroom assessment for student learning: Doing it right, using it well. Hoboken, NJ: Pearson Education.

Cirino, P. T., Child, A. E. and Macdonald, K. T. (2018). Longitudinal predictors of the overlap between reading and math skills. Contemporary Educational Psychology, 54, 99-111.

Clotfelter, C. T., Glennie, E., Ladd, H. F., and Vigdor, J. T. (2008). Would higher salaries keep teachers in high-poverty schools? Evidence from a policy intervention in North Carolina. Journal of Public Economics, 92, 1352–1370.

Clotfelter, C. T., Ladd, H. F., and Vigdor, J. L. (2005). Who teaches whom? Race and the distribution of novice teachers. Economics of Education Review, 24, 377–392.

Clotfelter, C. T., Ladd, H. F., and Vigdor, J. T. (2007). Teacher credentials and student achievement: Longitudinal analysis with student fixed effects. Economics of Education Review, 26(6), 673-682.

Coenen, J., Cornelisz, I., Groot, W., Brink, H. M., and Klaveren, C. V. (2017). Teacher characteristics and their effects on student test scores: A systematic review. Journal of Economic Surveys. 32(3), 848-877.

Cooper, A. (2017). School resources and student outcomes: Evidence from the state of Illinois [Unpublished MA. Thesis], Illinois State University.

Darling-Hammond, L. (2004). Standards, accountability, and school reform. Teachers College Record, 106(6), 1047–1085.

Dee, T. S. & Wyckoff, J. (2015). Incentives, selection, and teacher performance: Evidence from IMPACT. Journal of Policy Analysis and Management, 34(2), 267–297.

Dial, J. C. (2008). The effect of teacher experience and teacher degree levels on student achievement in mathematics and communication arts. ED. D. dissertation. Baker University. Retrieved from

Donnelly, M. & Gamsu, S. (2018). Home and Away – social, ethnic and spatial inequalities in student mobility, The Sutton Trust.

Dulay, S. & Karadağ, E. (2017). The effect of school climate on student achievement. The Factors Effecting Student Achievement, 10(12): 199-213.

Eddy, L. (2011). The Effect of student mobility on student achievement. ED. D. dissertation.

Egalite, A. J., Kisida, B., and Winters, M. A. (2015). Representation in the classroom: The effect of own-race teachers on student achievement, Economics of Education Review, 45, 44-52.

Fryer, R. G. (2013). Teacher incentives and student achievement: Evidence from New York City public schools. Journal of Labor Economics, 31(2), 373–407.

Gatto, J. T. (2000). The underground history of American education: A school teacher's intimate investigation into the problem of modern schooling. New York: Oxford Village Press.

Georgia Department of Education (n.d.). Georgia Milestones Assessment System. Retrieved from

Gershenson, S. (2016). Linking teacher quality, student attendance, and student achievement. Education Finance and Policy, 11(2), 125-149.

Goldhaber, D. & Walch, J. (2012). Strategic pay reform: A student outcomes-based evaluation of Denver’s ProComp teacher pay initiative. Economics of Education Review, 31, 1067–1083.

Goldhaber, D. (2008). Teachers matter, but effective teacher quality policies are elusive. Handbook of research in education finance and policy, 146–165.

Goldhaber, D., Lavery, L., and Theobald, R. (2015). Uneven playing field? Assessing the teacher quality pap between advantaged and disadvantaged students. Educational Researcher, 44(5), 293-307.

Golob, T. & Makarovič, M. (2018). Student mobility and transnational social ties as factors of reflexivity. Social Sciences 7(3): 46–62.

Gottfried, M. A. (2010). Evaluating the relationship between student attendance and achievement in urban elementary and middle schools: An instrumental variables approach. American Educational Research Journal, 47(2), 434-465.

Hanushek, E. A. & Woessmann, L. (2017). School resources and student achievement: A review of cross-country economic research. Cognitive abilities and educational outcomes, 149-171.

Hanushek, E. A. (1998). Improving student achievement: Is reducing class size the answer? Washington, DC: Progressive Policy Institute.

Hanushek, E. A., Piopiunik, M. and Wiederhold, S. (2018). The value of smarter teachers: International evidence on teacher cognitive skills and student performance. Journal of Human Resources 54(4), 857-899.

Hendricks, M. D. (2014). Does it pay to pay teachers more? Evidence from Texas. Journal of Public Economics, 109, 50–63.

Henry, P. (2007). The case against standardized testing. Minnesota English Journal, 43(2), 39-71.

Hightower, A. M., Delgado, R. C., Lloyd, S. C., Wittenstein, R., Sellers, K., and Swanson, C. B. (2011). Improving student learning by supporting quality teaching: Key issues, effective strategies.

Ho, A. (2014). Variety and drift in the functions and purposes of assessment in K-12 education. Teachers College Record, 116(11), 1-18.

Jackson, C. K., Johnson, R. C., and Persico, C. (2016). The Effects of school spending on educational and economic outcomes: Evidence from school finance reforms. The Quarterly Journal of Economics 131(1), 157–218.

Jimenez-Castellanos, O. (2010). Relationship between educational resources and school achievement: A mixed method intra-district analysis. The Urban Review 42(4), 351-371.

Joshi, E., Doan, S., and Springer, M. G. (2018). Student-teacher race congruence: New evidence and insights from Tennessee, AERA Open, 4(4), 1–25.

Kim, A. S., Shakory, S., Azad, A., Popovic, C., and Park, L. (2020). Understanding the impact of attendance and participation on academic achievement. Scholarship of Teaching and Learning in Psychology 6(4), 272.

Ladd, H. F. (2008). Teacher effects: What do we know? Unpublished manuscript, Teacher Quality Conference, Northwestern University.

Loeb, S. & Page, M. E. (2000). Examining the link between teacher wages and student outcomes: The importance of alternative labor market opportunities and non-pecuniary variation. Review of Economics and Statistics, 82(3), 393-408.

Mansfield, R. K. (2015). Teacher quality and student inequality. Journal of Labor Economics, 33(3), 751-788.

Maxwell, L. E. (2016). School building condition, social climate, student attendance and academic achievement: A mediation model. Journal of Environmental Psychology 46, 206–216.

Maxwell, S., Reynolds, K. J., Lee, E., Subasic, E. and Bromhead, D. (2017). The impact of school climate and school identification on academic achievement: Multilevel modeling with student and teacher data. Frontiers in Psychology, 8, 1-21.

McGahee, W. (2019). The Importance of attending school: A quantitative analysis of the relationship between student attendance and academic achievement. ED & L. D. dissertation.

National Assessment of Educational Progress. (n.d.). NAEP State Profiles. Retrieved from

Neem, J. N. (2017). Democracy's schools: The rise of public education in America. Baltimore: Johns Hopkins University Press.

Newland, L. A., DeCino, D. A., Mourlam, D. J., and Strouse, G. A. (2019). School climate, emotions, and relationships: Children's experiences of well-being in the Midwestern US. International Journal of Emotional Education, 11(1), 67–83.

Newton, P. (2017). There is more to educational measurement than measuring: The importance of embracing purpose pluralism. Educational Measurement: Issues and Practice, 36(2), 5-15.

No Child Left Behind Act of 2001, Pub. L. No. 107-110, § 115. Stat, 1425(6), 2002.

Noddings, N. (2017). When school reform goes wrong. New York: Teachers College Press.

Ntobeko, N. (2018). School resources and student achievement: A study of primary schools in Zimbabwe. Educational Research and Reviews, 13(7), 236-248.

Orlich, D. C. (2003). Longitudinal effect of the Washington assessment of student learning (WASL) on student achievement. Education Policy Analysis Archives, 11(18).

Orlich, D. C., & Gifford, G. (2006). Test Scores, Poverty and Ethnicity: The New American Dilemma. Retrieved from, 2006.

Ostrander, R. R. (2015). School funding: Inequality in district funding and the disparate impact on urban migrant school children. Brigham Young University Education and Law Journal 1, 271–295.

Partelow, L., Spong, A., Brown, C., and Johnson, S. (2017) America needs more teachers of color and a more selective teaching profession. Washington, D.C. Center for American Progress.

Pham, L. D., Nguyen, T. D., and Springer, M. G. (2020). Teacher merit pay and student test scores: A meta-analysis. American Educational Research Journal, 1, 1-57.

Price, M. (2019, March 30). What parents should know about Georgia Milestones tests. The Ledger-Enquirer. Retrieved from

Rhodes, V. L. (2005). Kids on the move: The effects of student mobility on NCLB school accountability ratings. Penn GSE Perspectives in Urban Education Week, 3(3), 1-30.

Rice, J. K. (2013). Learning from experience? Evidence on the impact and distribution of teacher experience and the implications for teacher policy. Education Finance and Policy, 8(3), 332-348.

Savasci, H. S. & Tomul, E. (2013). The relationship between educational resources of school and academic achievement. International Education Studies, 6(4), 114-123.

Sparks, S. (2016). Student mobility: How it affects learning. Education Week.

Springer, M. G., Ballou, D., and Peng, A. X. (2014). Estimated effect of the teacher advancement program on student test score gains. Education, Finance, and Policy, 9(2): 193–230.

Sun, Y. (2014). Econometrics analysis on factors affecting student achievement. International Journal of Economics and Finance, 6(11), 1–8.

Tagami. T. (2016, April 30). Five things to know about the new Georgia Milestones tests. The Atlanta Journal-Constitution. Retrieved from

The Governor’s Office of Student Achievement (n.d.): Downloadable data. Retrieved from

U.S. Department of Education (n.d.). Every Student Succeeds ACT (ESSA). Retrieved from

Vanlaar et al. (2015). Do the teacher and school factors of the dynamic model affect high- and low-achieving student groups to the same extent? A cross-country study. Research Papers in Education, 31(2). 183-211.

Weaver, J. (2019). Teacher factors and student achievement as measured by the act assessment and subsequent teacher perceptions of those factors. ED & L. D. dissertation.

Welsh, R. O. (2016). Student mobility, segregation, and achievement gaps: Evidence from Clark County, Nevada. Urban Education, 53(1), 55–85.

Welsh, R. O. (2017). School hopscotch: A comprehensive review of K–12 student mobility in the United States. Review of Educational Research, 87, 475–511.

Wilson, E. K. (2016). Blurred lines: Public school reforms and the privatization of public education. Washington University Journal of Law & Policy, 51(189), 190-231.

Xu, Z., Hannaway, J., and Taylor, C. (2011). Making a difference? The effects of teach for America in high school. Journal of Policy Analysis and Management, 30(3), 447- 469.

Yarnell, L. M. & Bohrnstedt, G. W. (2018). Student-teacher racial match and its association with Black student achievement: An exploration using multilevel structural equation modeling. American Educational Research Journal, 55(2), 287–324.


How to Cite
Maarouf, S. (2022). The Impact of Teacher, School, and Student Factors on Standardized Student Test Scores Using Multidimensional Approach. European Journal of Education and Pedagogy, 3(1), 37–49.