Abstract
The author examined the simultaneous influence of Japanese middle school student and school socioeconomic status (SES) on student math achievement with two-level multilevel analysis models by utilizing the Trends in International Mathematics and Science Study (TIMSS) Japan data sets. The theoretical framework used in this study was Bronfenbrenner’s bioecological theory (Bronfenbrenner and Morris 1998). The data sets contained 4,856 students from 146 public and private middle schools. The results indicated that at the student level, different aspects of student SES (i.e., number of books, the possession of computers, paternal, and maternal educational achievements) were positively related to Japanese student math achievement. At the school level, two aspects of school SES (i.e., less populated schools and economically disadvantaged schools) were negatively related to Japanese student math achievement. None of the cross-level interactions were significant, but the random effect for the computer slope was significant. Although this study found both student and school SES effects on student achievement, the proportional reduction of prediction error explained by both student and school SES were was small, meaning the residual variances at student and school levels did not capture the majority of variance explained by math achievement. The implications of theoretical framework and educational policy are discussed.

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References
Beese, J., & Liang, V. (2010). Does resources matter? PISA science achievement comparisons between students in the United States, Canada and Finland. Improving Schools, 13(3), 266–279.
Benesse Educational Research and Developmental Institute (2005). Dai 1 kai kodomo seikatsu jittai kihon cyōsa hōkokusyo [Report on children’s life styles no1]. http://berd.benesse.jp/berd/data/dataclip/clip0006/
Benesse Educational Research and Developmental Institute (2014). Kodomo no ICT riyō jittai cyosa [Report on children’s possession of computers]. http://berd.benesse.jp/berd/center/open/report/ict_riyou/hon/hon2_1.html. Accessed 18 Nov 2016.
Buchmann, C., Condron, D. J., & Roscigno, V. J. (2010). Shadow education, American style: test preparation, the SAT and college enrollment. Social Forces, 89(2), 435–461.
Bray, M., & Kwok, P. (2003). Demand for private supplementary tutoring: conceptual considerations, and socio-economic patterns in Hong Kong. Economics of Education Review, 22, 611–620.
Bronfenbrenner, U. (1994). Ecological models of human development. In International Encyclopedia of Education, 3, 2nd. Ed. Oxford: Elsevier. Reprinted in: M. Gauvain, & M. Cole (Eds)., Reading on the development of children, 2nd ed. (1993, pp. 37–43). NY: Freeman.
Bronfenbrenner, U. (1995). Developmental ecology through space and time: a future perspective. In P. Moen, G. H. Elder Jr., & K. Luscher (Eds.), Examining lives in context: perspectives on the ecology of human development (pp. 619–647). Washington, DC: American Psychological Association.
Bronfenbrenner, U. (1999). Environments in developmental perspective: Theoretical and operational models. In S. L. Friedman & T. D. Wachs (Eds.), Measuring environment across the life span: Emerging methods and concepts (pp. 3–28).
Bronfenbrenner, U. (2005). The bioecological theory of human development. In U. Bronfenbrenner (Ed.), Making human beings human: Bioecological perspectives on human development (pp. 3–15). Thousand Oaks, CA: Sage. (Original work published in 2001).
Bronfenbrenner, U., & Ceci, S. J. (1994). Nature-nurture reconceptualized in developmental perspective: A biological model. Psychological Review, 101, 568–586.
Bronfenbrenner, U., & Morris, P. A. (1998). The ecology of developmental process. In R. M. Lerner (Ed.), Handbook of child psychology (Vol. 1, pp. 993–1028). New York, NY: John Wiley & Sons.
Bronfenbrenner, U., & Morris, P. (2006). The ecology of developmental processes. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: theoretical models of human development (Vol. 1, pp. 793–828). Hoboken, NJ: Wiley.
Condon, C., Greenberg, A., Stephan, J., Williams, R., Gerdeman, R.D., Molefe, A., & Van der Ploeg, A. (2012). Performance in science on the Minnesota Comprehensive Assessments-Series for students in grades 5 and 8 (Issues & Answers Report, REL 2012-No. 138). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Midwest.
Duncan, G. J., & Brooks-Gunn, J. (1997). Income effects across the life span: integration and interpretation. In G. J. Duncan & J. Brooks-Gunn (Eds.), Consequences of growing up poor (pp. 596–610). New York, NY: Russell Sage Foundation Press.
Entwisle, D. R. & Astone, N. M. (1994). Some practical guidelines for measuring youth's race/ethnicity and socioeconomics status. Child Development, 65(6), 1521–1540.
Ferron, J. M., Hogarty, K. Y., Dedrick, R. F., Hess, M. R., Niles, J. D., & Kromrey, J. D. (2008). Evaluation of model fit and adequacy. In A. A. O’Connell & D. B. McCoach (Eds.), Multilevel modeling of educational data (pp. 391–426). Charlotte, NC: Information age publication Inc..
Greenwald, R., Hedges, L. V., & Laine, R. D. (1996). The effect of school resources on student achievement. Review of Educational Research, 66, 361–396.
Hamano, T. (2009a). Katei deno kankyō seikatsu to kodomo no gakuryoku [Family environments and student academic achievement]. In B. K. S. Kenkyujo (Ed.), Kyoiku kakusano hassei kaishōni kansuru chōsa kenshū hokokusho [report on causes and termination of differential social class achievement in education]. Benesse Kyoiku Sougo Kenkyujo: Tokyo.
Heck, R. H., Thomas, S. L., & Tabata, L. N. (2014). Multilevel and longitudinal modeling with IBM SPSS (2nd ed.). New York: Routledge.
Hojo, M. (2011). Gakuryoku no kettei yoin-keizaigakuno shitenkara [factors in academic achievement from an economic point of view]. Nihon Rōdo Kenkyū Zattshi, 614, 16–27.
Hoffman, L. W. (2003). Methodological issues in studies of SES, parenting, and child development. In Bornstein & Bradley (Eds.), Socioeconomic status, parenting, and child development (pp. 125–143). Mahwah, NJ: Lawrence Erlbaum Associates.
Kaneko, M. (2004). Gakuryokuno kitei yoin-katei haikeito kojinno doryokuha do eikyo suruka [Factors in academic achievement-how do family background and student efforts influence student academic achievement?]. In K.Shimizu & T. Kariya, (Eds.) Gakuryoku no shakaigaku: chōsa ga shimesu gakuryoku no henka to gakushū no kadai [Academic achievement in sociology: The changes in academic achievement and issues]. (pp. 153–172). Tokyo: Iwanami Shoten.
Kariya, T. (2004). Gakuryoku no kaisosa Wa kakudaishitaka [did the differential student academic achievement among different social classes expand?]. In T. Kariya & H. Shimizu (Eds.), Gakuryoku no shakaigaku: chōsa ga shimesu gakuryoku no henka to gakushū no kadai [academic achievement in sociology: the changes in academic achievement and issues] (pp. 127–151). Tokyo: Iwanami Shoten.
Kariya, T. (2006). Kyōiku to byōdō: taishū kyōiku shakai Wa ikani seiseishita ka [education and equality: how did society create equality?] Tokyo: Cyūo Kōuron Shinsyakan.
Kariya, T. (2008). Gakuryoku to kaisō: kyoiku no hokorobi wo do shusei suruka [academic achievement and social class: how do we fix the educational problems?]. Tokyo: Asahi Shimbun Shuppan.
Kariya, T. (2010). From credential society to learning capital society: a re- articulation of class formation in Japanese education and society. In H. Ishida & D. H. Slater (Eds.), Social class in contemporary Japan (pp. 87–113). London: Routledge.
Kariya, T., & Rosenbaum., E. (2003). Stratified incentives and life course behaviours. In J. T. Mortimer & M. J. Shanahan (Eds.), Handbook of life course (pp. 51–78). New York: Kluwer academic/Plenum Publishers.
Kawaguchi, T. (2011). Nihonno gakuryoku kenkyuno genjyoto kadai [a review of Japan’s academic achievement]. Nihon Rōdō Kenkyu Zasshi, 614, 6–15.
Lee, V. E., & Croninger, R. C. (1994). The relative importance of home and school in the development of literacy skills for middle-grade students. American Journal of Education, 102(3), 286–329.
Lerner, R. (2005). Urie Bronfenbrenner: Career contribution of the consummate developmental scientist. In U. Bronfenbrenner (Ed.), Making human beings human: Bioecological perspectives on human development. Thousand Oaks, CA:Sage.
Liu, Y., Wu, A. D., & Zumbo, B. D. (2006). The relationship between outside of school factors and mathematics achievement: a cross-country study among the U.S. and five top-performing Asian countries. Journal of Educational Research & Policy Studies, 6(1), 1–35.
Liu, H., Van Damme, J., Gielen, S., & Van Den Noortgate, W. (2015). School processes mediate school compositional effects: model specification and estimation. British Educational Research Journal, 41(3), 423–447.
Magnuson, K. A., & Duncan, G. J. (2006). The role of family socioeconomic resources in the black-white test score gap among young children. Developmental Review, 26, 365–399.
Marks, G. N. (2008). Are father’s or mother’s socioeconomic characteristics more important influences on student performance? Recent international evidence. Social Indicators Research, 85, 293–309. doi:10.1007/s11205-007-9132-4.
McCoach, D. B., & Black, A. C. (2008). Evaluation of model fit and adequacy. In A. A. O’Connell & D. B. McCoach (Eds.), Multilevel modeling of educational data (pp. 245–272). Charlotte, NC: Information age publication Inc..
Mimizuka, H. (2007). Syogakuko gakuryoku kakusa ni idomu: dare ga gakuryoku wo kakutoku suruka [tracking academic achievement gaps among elementary schools: who acquires academic achievement?]. Kyōiku Syakaigaku Kenkyū, 80, 23–39.
Ministry of Education, Culture, Sports, Science and Technology (2016). Gimu kyoikuhi kokko hutan seido ni tsuite [The systems for the government’s expenses on mandatory education]. http://www.mext.go.jp/a_menu/shotou/gimukyoiku/outline/001.htm. Accessed 18 Nov 2016.
Mohanmmadpour, E., & Ghafar, M. N. A. (2014). Math achievement as a function of within-and between-school differences. Scandinavian Journal of Educational Research, 58(2), 189–221. doi:10.1080/00313831.2012.725097.
National Institute for Educational Policy Research (2003). Kokusai sūgaku rika kyōiku dōko chōsa no 2011 nen chōsa (TIMSS 2011) kokusai chōsa kekka hōkoku (gaiyō) [A summary of the TIMSS 2003]. Tokyo: Ministry of Education, Culture, Sports, Science and Technology.
National Institute for Educational Policy Research. (2009a). Jidō seito no seikatsu to syosokumento ni kansuru bunseki in [Analysis on children’s life styles]. Heisei 19,20 nendo zenkoku gakuryoku gakusyu jyokyo chōsa tsuika bunseki hokokusho [Analysis report on nationwide survey on academic ability 2007and 2008]. Tokyo: Ministry of Education, Culture, Sports, Science and Technology.
National Institute for Educational Policy Research. (2009b). Syudokudo betsu shoninzū shidō ni tsuite: sono 1 [The findings on differential academic teaching methods: part one]. Heisei 19,20 nendo zenkoku gakuryoku gakusyu jyokyo chōsa tsuika bunseki hokokusho [Analysis report on nationwide survey on academic ability 2007and 2008]. Tokyo: Ministry of Education, Culture, Sports, Science and Technology.
National Institute for Educational Policy Research. (2010). Chōsa kekka no gaiyō (syoto cyuto kyoikukikan, sensyu gakko, kakusyu gakko) [Summary of survey on elementary schools, technical schools, and various schools]. http://www.mext.go.jp/component/b_menu/houdou/__icsFiles/afieldfile/2013/08/07/1338338_02.pdf. Accessed 18 Nov 2016.
Nonoyama-Tarumi, Y. (2008). Cross-national estimates of the effects of family background on student achievement: a sensitivity analysis. International Review of Education, 54(1), 57–82.
OECD (2013). Programme for international student assessment (PISA) results from PISA 2012. Japan: OECD Publishing.
Orr, J. E. (2003). Black-white differences in achievement: the importance of wealth. Sociology of Education, 76(4), 281–304.
Palardy, G. J. (2013). High school socioeconomic segregation and student attainment. American Educational Research Journal, 50(4), 714–754.
Peugh, J. L., & Enders, C. K. (2004). Missing data in educational research: a review of reporting practices and suggestions for improvement. Review of Educational Research, 74(4), 525–556.
Public Broadcasting Service (2008). How do we fund our schools? Public broad casting. http://www.pbs.org/wnet/wherewestand/reports/finance/how-do-we-fund-our-schools/?p=197. Accessed 18 Nov 2016.
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods. Thousand Oaks, CA: Sage Publications.
Rumberger, R., & Palardy, G. (2005). Does segregation still matter? The impact of student composition on academic achievement in high school. The Teachers College Record, 107(9), 1999–2045.
Sanchez, C. N. P., Montesinos, M. B., & Rodriguez, L. C. (2013). Family influences in academic achievement: a study of the Canary Islands. International. Journal of Sociology, 71(1), 169–187.
Sato, M. (2005). Cram schools cash in on failure of public schools. The Japan Times. http://www.japanties.co.jp/
Schiller, K. S., Khmelkov, V. T., & Wang, X. (2002). Economic development and the effects of family characteristics on mathematics achievement. Journal of Marriage and Family, 64, 730–742.
Shimizu, M., & Sudo, Y. (2008). Gakuryoku no kiteiyoin no tiiki kan hikaku [a comparison of student academic achievement in different regions]. In T. Kariya (Ed.), Heisei 19 nendo zenkoku gakuryoku gakushu jyokyo chōsa [analysis report on nationwide survey on academic ability 2007] (pp. 31–40). Tokyo: College of Education, the University of Tokyo.
Sirin, S. R. (2005). Socioeconomic status and academic achievement: a meta- analytic review of research. Review of Educational Research, 75(3), 417–453.
Sudo, K. (2009). Gakuryoku no kaisosani kansuru jisshokenkyu no doko-nihonto America no hikaku wo toshite [A review of the empirical studies of academic achievement disparity-through the comparison of US and Japan]. Tokyō Daigaku Daigakuin Kyoikugaku Kenkyuka Kiyō 49 Kan. 53–61.
Tayyaba, S. (2010). Mathematics achievement in middle school level in Pakistan. International Journal of Educational Management, 24(3), 221–249. doi:10.1108/09513541011031583.
Thirunarayanan, M. O. (2004). The “significant worse” phenomenon: a study of student achievement in different content areas by school location. Education and Urban Society, 36(4), 467–481.
Thomas, S. L., & Heck, R. H. (2001). Analysis of large-scale secondary data in higher education research: potential perils associated with complex sampling designs. Research in Higher Education, 42(5), 517–540.
Tomul, E., & Savasci, H. S. (2012). Socioeconomic determinants of academic achievement. Educational Assessment, Evaluation and Accountability, 24, 175–187. doi:10.1007/s11092-012-9149-3.
Tsumura, M. (2005). Katei no gakkō gai kyoikuhini eikyowo oyobosu yoinno hennka-SSM 1985. 2005 deta ni yoru bunseki [The change in factors affecting education costs for activities outside school. Results of SSM-1985 and SSM-2005]. Kaiso syakaino nakano kyoiku gensyo [Educational Phenomena in a Stratified Society]. In T. Nakamura, T (Ed.), 2005 nen SSM chōsa kenkyukai. pp. 109–125.
Tudge, J. R. H., Odero, D. A., Hogan, D. M., & Etz, K. E. (2003). Relations between the everyday activities of preschoolers and their teachers’ perceptions of their competence in the first years of school. Early Childood Research Quarterly 18, 42–64.
Tudge, J. R. H., Mokrova, I., Hatfield, B. E., & Karnik, R. B. (2009). Uses and misuses of Bronfenbrenner’s bioecological theory of human development. Journal of Family Theory and Review, 1, 198–210.
Van Ewijk, R., & Sleegers, P. (2010). The effect of peer socioeconomic status on student achievement: a meta-analysis. Educational Research Review, 5(2), 134–150.
Yamamoto, Y., & Brinton, M. C. (2010). Cultural capital in east Asian educational systems: the case of Japan. Sociology of Education, 83, 67–83.
Yi, J. (2013). Tiger moms and liberal elephants: private, supplemental education among Korean-Americans. Society, 50(2), 190–195.
Yoshino, A. (2012). The relationship between self-concept and achievement in TIMSS 2007: a comparison between American and Japanese students. International Review of Education, 58, 199–219. doi:10.1007/s11159–012-9283-7.
Acknowledgements
This research paper was based in part on the author’s Ph.D. dissertation. The author’s sincere appreciation goes to all her former dissertation committee members at the University of Hawaii at Manoa, Dr. Iding, Dr. Salzman, Dr. Heck, Dr. Liu, and Dr. Di for their continuous support, guidance, and patience. The author would also like to express her gratitude to the anonymous reviewers who gave her encouraging and insightful comments on her earlier manuscript. The author especially thanks her family members, Clifford Clarke and Pata-Pata for their support. The author is also immensely grateful to God for the sustaining guidance and support.
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Takashiro, N. A multilevel analysis of Japanese middle school student and school socioeconomic status influence on mathematics achievement. Educ Asse Eval Acc 29, 247–267 (2017). https://doi.org/10.1007/s11092-016-9255-8
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DOI: https://doi.org/10.1007/s11092-016-9255-8

