Intersectional effects of Socioeconomic status, phase and gender on Mathematics achievement

References

• Aikens, N. L., and O. Barbarin. 2008. “Socioeconomic Differences in Reading Trajectories: The Contribution of Family, Neighborhood, and School Contexts.” Journal of Educational Psychology 100 (2): 235–251. doi:10.1037/0022-0663.100.2.235.
   Web of Science ®Google Scholar
• Aronson, J., C. B. Fried, and C. Good. 2002. “Reducing the Effects of Stereotype Threat on African American College Students by Shaping Theories of Intelligence.” Journal of Experimental Social Psychology 38 (2): 113–125. doi:10.1006/jesp.2001.1491.
   Web of Science ®Google Scholar
• Baird, K. 2012. “Class in the Classroom: The Relationship between School Resources and Math Performance among Low Socioeconomic Status Students in 19 Rich Countries.” Educational Studies 20 (5): 484–509.
   Google Scholar
• Baltagi, B. 2011 January 1. “Panel Data Analysis.” In Encyclopedia of Survey Research Methods, edited by P. Lavrakas, 568–569. Thousand Oaks: Sage.
   Google Scholar
• Bergen, E., T. Zuijen, D. Bishop, and P. F. Jong. 2016. “Why are Home Literacy Environment and Children’s Reading Skills Associated? What Parental Skills Reveal.” Reading Research Quarterly 52 (2): 147–160.
   Web of Science ®Google Scholar
• Bondi, L. 1991. “Attainment at Primary Schools: An Analysis of Variations between Schools.” British Educational Research Journal 17 (3): 203–217. doi:10.1080/0141192910170301.
   Google Scholar
• Borgonovi, F., A. Choi, and M. Paccagnella. 2018. The Evolution of Gender Gaps in Numeracy and Literacy between Childhood and Adulthood. Paris: OECD Education Working Papers.
   Google Scholar
• Bornstein, M. H., and R. H. Bradley. 2003. Socioeconomic Status, Parenting, and Child Development. Mahwah (NJ): Erlbaum.
   Google Scholar
• Brooks-Gunn, J., and G. Duncan. 1997. “The Effects of Poverty on Children.” The Future of Children 7 (2): 55–71. doi:10.2307/1602387.
   Web of Science ®Google Scholar
• Buckingham, J., K. Wheldall, and R. Beaman-Wheldall. 2013. “Why Poor Children Are More Likely to Become Poor Readers: The School Years.” Australian Journal of Education 57 (3): 190–213. doi:10.1177/0004944113495500.
   Web of Science ®Google Scholar
• Byrnes, J. P., L. Hong, and S. Xing. 1997. “Gender Differences on the Math Subtest of the Scholastic Aptitude Test May Be Culture-Specific.” Educational Studies in Mathematics 34 (1): 49–66. doi:10.1023/A:1003011300372.
   Google Scholar
• Campodifiori, E., E. Figura, M. Papini, and R. Ricci (2010, February). “Un Indicatore Di Status Socio-Economico-Culturale Degli Allievi Della Quinta Primaria in Italia [Trad. A SES Index at Grade 5].” Invalsi Working Paper Series 1–25.
   Google Scholar
• Cascella, C. 2016. “Differenze di genere nell’apprendimento matematico e variabili di contesto: l’effetto dello status socio-economico sui punteggi di maschi e femmine ai test INVALSI.“ In I mondi delle donne. Percorsi interdisciplinari, edited by P. Paoloni. STUDI E RICERCHE, 53–76. ROMA: EDICUSANO. ISBN: 9788898948055.
   Google Scholar
• Cascella, C., and E. Cavicchiolo. 2017. “Differenze Di Genere E Di Status Socio-Economico Nel Rendimento Scolastico: Evidenzeempiriche Nella Scuola Primaria [Trad. Gender and SES Differences in Attainment: Empirical Evidences from Primary School].” In I Dati Invalsi II: Uno Strumento per La Ricerca, edited by P. Falzetti, 211–222. Milano: FrancoAngeli.
   Google Scholar
• Ciccia, R., and I. Bleijenbergh. 2014. “After the Male Breadwinner Model? Childcare Services and the Division of Labor in European Countries.” Social Politics 21 (1): 50–79. doi:10.1093/sp/jxu002.
   Web of Science ®Google Scholar
• Coleman, J. S. 1966. Equality of Educational Opportunity. Oxford: U.S. Department of Health, Education.
   Google Scholar
• Coleman, J. S. 1988. “Social Capital and Schools.” Education Digest 95–120.
   Google Scholar
• Crenshaw, K. 1989. “Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics.” University of Chigaco Legal Forum 19: 139–168.
   Google Scholar
• Dahl, G. B., and L. Lochner. 2012. “The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit.” American Economic Review 102 (5): 1927–1956. doi:10.1257/aer.102.5.1927.
   Web of Science ®Google Scholar
• Doerschuk, P., C. Bahrim, J. Daniel, J. Kruger, J. Mann, and C. Martin. 2016. “Closing the Gaps and Filling the STEM Pipeline: A Multidisciplinary Approach.” Journal of Science Education and Technology 25: 682–695. doi:10.1007/s10956-016-9622-8.
   Web of Science ®Google Scholar
• Duncan, O. D., D. L. Featherman, and B. Duncan. 1972. Socio-Economic Background and Achievement. New York: Seminar Press.
   Google Scholar
• Eaton, Y. M., M. L. Mitchell, and J. M. Jolley. 1991. “Gender Differences in the Development of Relationships During Late Adolescence.“ Adolescence 26 (103): 565–568.
   Google Scholar
• Else-Quest, N. M., J. S. Hyde, and M. C. Linn. 2010. “Cross-National Patterns of Gender Differences in Mathematics: A Meta-Analysis.” Psychological Bulletin 136 (1): 103. doi:10.1037/a0018053.
   PubMed Web of Science ®Google Scholar
• Engelhard, G. 2009. “Using Item Response Theory and Model-Data Fit to Conceptualize Differential Item and Person Functioning for Students with Disabilities.” Educational and Psychological Measurement 69(4), 585–602. doi:10.1177/0013164408323240.
   Web of Science ®Google Scholar
• Engelhard, G. 2013. Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences. New York, NY: Routledge.
   Google Scholar
• Engelhard, G., and M. Wilson. 1995. Objective Measurement III: Theory into Practice. Ablex: Norwood Ed.
   Google Scholar
• Falorsi, S. 2008. Nota Metodologica Sulla Strategia Di Campionamento [Trad. Methodological Document about Sampling Strategy]. Frascati: INVALSI.
   Google Scholar
• Francis, B. 2000. “The Gender Subject: Students’ Subject Preferences and Discussions of Gender and Subject Ability.” Oxford Review of Education 26 (1): 35–48. doi:10.1080/030549800103845.
   Web of Science ®Google Scholar
• Goforth, K., A. Noltemeyer, J. Patton, K. R. Bush, and D. Bergen. 2014. “Understanding Mathematics Achievement: An Analysis of the Effects of Studetns and Family Factors.” Educational Studies 40 (2): 196–214. doi:10.1080/03055698.2013.866890.
   Web of Science ®Google Scholar
• Gottfried, A. E. 1985. “Academic Intrinsic Motivation in Elementary and Junior High School Students.” Journal of Educational Psychology 77: 631–645. doi:10.1037/0022-0663.77.6.631.
   Web of Science ®Google Scholar
• Guiso, L., F. Monte, P. Sapienza, and L. Zingales 2008. “Culture, Gender, and Math.” Science 320: 1164–1165. doi:10.1126/science.1154094.
   PubMed Web of Science ®Google Scholar
• Gunderson, E. A., G. Ramirez, S. C. Levine, and S. L. Beilock. 2012. “The Role of Parents and Teachers in the Development of Gender-Related Math Attitudes.” Sex Roles 66 (3–4): 153–166. doi:10.1007/s11199-011-9996-2.
   Web of Science ®Google Scholar
• Gustafsson, J.-E. 1980. “Testing and Obtaining Fit of Data to the Rasch Model.” British Journal of Mathematical and Statistical Psychology 33 (2): 205–233. doi:10.1111/bmsp.1980.33.issue-2.
   Google Scholar
• Hauser, R. M. 1994. “Measuring Socioeconomic Status in Studies of Child Development.” Child Development 65 (6): 1541–1545. doi:10.2307/1131279.
   Web of Science ®Google Scholar
• Hauser, R. M., and M. H. Huang. 1997. “Verbal Ability and Socioeconomic Success: A Trend Analysis.” Social Science Research 26(3): 331–376. doi:10.1006/ssre.1997.0604.
   Web of Science ®Google Scholar
• Hyde, J. S., E. Fennema, and S. J. Lamon. 1990. “Gender Differences in Mathematics Performance: A Meta-analysis.” Psychological Bulletin 107 (2): 139.
   PubMed Web of Science ®Google Scholar
• Igbo, J., V. Onu, and N. Obiyo. 2015. “Impact of Gender Stereotype on Secondary School Students’ Self-Concept and Academic Achievement.” SAGE Open 5 (1): 1–10. doi:10.1177/2158244015573934.
   Web of Science ®Google Scholar
• INVALSI. 2012. Rapporto Nazionale Sulla Rilevazione Degli Apprendimenti 2011–2012. Frascati: INVALSI.
   Google Scholar
• INVALSI. 2017. Rapporto Nazionale Prove INVALSI. Roma: INVALSI.
   Google Scholar
• Ireson, G. 2017. “Gender Achievement and Social, Political and Economic Equality: A European Perspective.” Educational Studies 43 (1): 40–50. doi:10.1080/03055698.2016.1237868.
   Web of Science ®Google Scholar
• Jencks, C., and S. E. Mayer. 1990. “The Social Consequences of Growing up in a Poor Neighborhood.” In Inner-City Poverty in the United States, edited by L. E. Lynn, and M. G. H. McGeary, 111–186. Washington: National Academy Press.
   Google Scholar
• Johns, M., T. Schmader, and A. Martens. 2005. “Knowing Is Half The Battle: Teaching Stereotype Threat as a Means Of Improving Women's Math Performance.” Psychological Science 16 (3): 175.
   PubMed Web of Science ®Google Scholar
• Keller, C. 2001. “Effect of Teachers' Stereotyping on Students' Stereotyping of Mathematics as a Male Domain.” The Journal of Social Psychology 141 (2): 165–173. doi:10.1080/00224540109600544.
   PubMed Web of Science ®Google Scholar
• Kenney-Benson, G. A., E. M. Pomerantz, A. M. Ryan, and H. Patrick. 2006. “Sex Differences in Math Performance: The Role of Children’s Approach to Schoolwork.” Developmental Psychology 42 (1): 11–26. doi:10.1037/0012-1649.42.1.11.
   Web of Science ®Google Scholar
• Kessels, U. 2005. “Fitting into the Stereotype: How Gender-Stereotyped Perceptions of Prototypic Peers Relate to Liking for School Subjects.” European Journal of Psychology of Education 20(3): 309–323. doi:10.1007/BF03173559.
   Web of Science ®Google Scholar
• Legewie, J., and T. A. Di Prete. 2012. “School Context and Gender Gap in Educational Achievement.” American Sociological Review 77(3): 463–485. doi:10.1177/0003122412440802.
   Web of Science ®Google Scholar
• Li, Q. 1999. “Teachers' Beliefs and Gender Differences in Mathematics: A Review.” Educational Research 41 (1): 63–76.
   Web of Science ®Google Scholar
• Linacre, J. M., and B. D. Wright. 1994. “Reasonable Mean-Square Fit Values.” Rasch Measurement Transactions 8 (3): 370.
   Google Scholar
• Lindsay, G., and D. Muijs. 2006. “Challenging Underachievement in Boys.“ Educational Research 48 (3): 313–332.
   Google Scholar
• Logan, S., and R. Johnston. 2009. “Gender Differences in Reading Ability and Attitudes: Examining Where These Differences Lie.” Journal of Research in Reading 32 (2): 199–214. doi:10.1111/jrir.2009.32.issue-2.
   Web of Science ®Google Scholar
• Lynn, R., and J. Mikk. 2009. “Sex Differences in Reading Achievement.” Trames: A Journal Of The Humanities & Social Sciences 13 (1): 3.
   Web of Science ®Google Scholar
• Marks, G. N. 2008. “Gender Differences in the Effects of Socioeconomic Background: Recent Cross-National Evidence.” International Sociology 23 (6): 845–863.
   Web of Science ®Google Scholar
• McCall, L. 2005. “The Complexity of Intersectionality.” Signs 30: 1771–1800. doi:10.1086/426800.
   Web of Science ®Google Scholar
• McLoyd, V. C. 1998. “Socioeconomic Disadvantage and Child Development.” The American Psychologist 53 (2): 185–204. doi:10.1037/0003-066X.53.2.185.
   Web of Science ®Google Scholar
• Morgan, P. L., G. Farkas, M. M. Hillemeier, and S. Maczuga. 2009. “Risk Factors for Learning-Related Behavior Problems at 24 Months of Age: Population-Based Estimates.” Journal of Abnormal Child Psychology 37 (38):401–413. doi:10.1007/s10802-008-9279-8.
   PubMed Web of Science ®Google Scholar
• Morris, E. 2008. “‘Rutters. And ‘Rithmetic’: Social Class, Masculinity, and Schooling in a Rural Context.” Gender & Society 22(6): 728–751. doi:10.1177/0891243208325163.
   Web of Science ®Google Scholar
• Mueller, C. W., and T. L. Parcel. 1981. “Measures of Socioeconomic Status: Alternatives and Recommendations.” Child Development 52 (1): 13–30. doi:10.2307/1129211.
   Web of Science ®Google Scholar
• OECD. 2014. “Scaling Procedures and Construct Validation of Context Questionnaire Data.” In OECD, PISA 2012 Technical Report, 305–359. OECD. http://www.oecd.org/pisa/pisa-for-development/pisafordevelopment2018technicalreport/PISA-D%20TR%20Chapter%2016%20-%20Scaling%20BQ%20Data%20-%20final.pdf
   Google Scholar
• Perry, B. L., T. Link, C. Boelter, and C. Leukefeld. 2012. “Blinded to Science: Gender Differences in the Effects of Race, Ethnicity, and Socioeconomic Status on Academic and Science Attitudes among Sixth Graders.“ Gender and Education 24 (7): 725–743.
   Google Scholar
• Quatman, T., E. Sokolik, and K. J. Smith. 2000. “Adolescent Perception of Peers’ Success: A Gendered Perspective over Time.” Sex Roles 43 (1/2): 61–84. doi:10.1023/A:1007039712348.
   Web of Science ®Google Scholar
• Rasch, G. (1960). Probabilistic models for some intelligence and achievement tests. Copenhagen: Danish Institute for Educational Research (Expanded edition, 1980. Chicago: University of Chicago Press)
   Google Scholar
• Raudenbush, S. W., and A. S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. 1 vol. Sage.
   Google Scholar
• Ream, R. K., and G. J. Palardy. 2008. “Reexamining Social Class Differences in the Availability and the Educational Utility of Parental Social Capital.” American Educational Research 45(2): 238–273. doi:10.3102/0002831207308643.
   Web of Science ®Google Scholar
• Reardon, S. F., R. A. Valentino, D. Kalogrides, K. A. Shores, and E. H. Greenberg (2013). “Patterns and Trends in Racial Academic Achievement Gaps among States, 1999–2001.” Standford - Center for Education Policy Analysis. Retrieved from https://cepa.stanford.edu/content/patterns-and-trends-racial-academic-achievement-gaps-among-states-1999-2011
   Google Scholar
• Ripple, C. H., and S. S. Luther. 2000. “Academic Risk among Inner-City Adolescents. The Role of the Personal Attributes.” Journal of School Psychology 38 (3): 277–298. doi:10.1016/S0022-4405(00)00032-7.
   PubMed Web of Science ®Google Scholar
• Rumberger, R. W., and G. J. Palardy. 2005. “Does Segregation Still Matter? The Impact Of Student Composition on Academic Achievement in High School.” Teachers College Record 107 (9): 1999.
   Web of Science ®Google Scholar
• Seyfried, S. F. 1998. “Academic Achievement of African American Preadolescents: The Influence of Teacher Perceptions.” American Journal of Community Psychology 26 (3): 381–402. doi:10.1023/A:1022107120472.
   PubMed Web of Science ®Google Scholar
• Shapiro, J. R., and A. M. Williams. 2012. “The Role of Stereotype Threats in Undermining Girls’ and Women’s Performance and Interest in Stem Fields.” Sex Roles 66 (3–4): 175–183. doi:10.1007/s11199-011-0051-0.
   Web of Science ®Google Scholar
• Sidanius, J., and F. Pratto. 1999. Social Dominance. Cambridge: Cambridge University Press.
   Google Scholar
• Sirin, S. R. 2005. “Socioeconomic Status and Academic Achievement: A Meta-Analytic Reviwe of Research.” Review of Educational Research 75(3): 417–453. doi:10.3102/00346543075003417.
   Web of Science ®Google Scholar
• Snijders, T. A. B., and R. J. Bosker. 1999. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. 2nd ed. London: Sage Publishers.
   Google Scholar
• Steel, D. 2011. “Repeated Cross-Sectional Design.” In Encyclopedia of Survey Research Methods, edited by P. Lavrakas, 715–716. Thousand Oaks: Sage.
   Google Scholar
• Steele, C. M. 1997. “A Threat in the Air: How Stereotypes Shape Intellectual Identity and Performance.” American Psychologist 52 (6): 613. doi:10.1037/0003-066X.52.6.613.
   PubMed Web of Science ®Google Scholar
• Stoet, G., and D. C. Geary. 2015. “Sex Differences in Academic Achievement are Not Related to Political, Economic, or Social Equality. Intelligence 48: 137–151.
   Google Scholar
• Stoet, G., and D. C. Geary. 2018. “The Gender-Equality Paradox in Science, Technology, Engineering, and Mathematics Education.” Psychological Science 29 (4): 581–593. doi:10.1177/0956797617741719.
   PubMed Web of Science ®Google Scholar
• Strand, S. 2014. “School Effects and Ethnic, Gender and Socio-Economic Gaps in Educational Achievement at Age 11.” Oxford Review of Education 40(2), 223–245. doi:10.1080/03054985.2014.891980.
   Web of Science ®Google Scholar
• Stringher, C., and C. Cascella. 2019. “What Do We Know about ECEC Quality in Italy? ECEC Effects on Child Outcomes: A Quasi-Longitudinal Exploration.” In I Dati INVALSI III: Uno Strumento per La Ricerca, edited by P. Falzetti. Milano: FrancoAngeli.
   Google Scholar
• Tiedemann, J. 2002. “Teachers' Gender Stereotypes as Determinants of Teacher Perceptions in Elementary School Mathematics.” Educational Studies in Mathematics 50 (1): 49–62. doi:10.1023/A:1020518104346.
   Google Scholar
• Tomasetto, C., F. R. Alparone, and M. Cadinu. 2011. “Girls' Math Performance under Stereotype Threat: The Moderating Role of Mothers' Gender Stereotypes.” Developmental Psychology 47 (4): 943. doi:10.1037/a0024047.
   PubMed Web of Science ®Google Scholar
• Troncoso, P., M. Pampaka, and W. Olsen. 2016. “Beyond Traditional School Value-Added Models: A Multilevel Analysis of Complex School Effects in Chile.” School Effectiveness and School Improvement 27(3): 293–314. doi:10.1080/09243453.2015.1084010.
   Web of Science ®Google Scholar
• van Ewijk, R., and P. Sleegers. 2010. “The Effect of Peer Socioeconomic Status on Student Achievement: A Meta-Analysis.” Educational Research Review 5(2): 134–150. doi:10.1016/j.edurev.2010.02.001.
   Web of Science ®Google Scholar
• van Houtte, M. 2004. “Gender Context of the School and Study Culture, or How the Presence of Girls Affects the Achievement of Boys.” Educational Studies 30(4): 409–423. doi:10.1080/0305569042000310336.
   Web of Science ®Google Scholar
• Voyer, D., and S. D. Voyer. 2014. “Gender Differences in Scholastic Achievement: A Meta-Analysis.” Psychological Bulletin 140 (4): 1174–1204. doi:10.1037/a0036620.
   PubMed Web of Science ®Google Scholar
• White, K. 1982. “The Relation between Socioeconomic Status and Academic Achievement.” Psychological Bulletin 91 (3): 461–481. doi:10.1037/0033-2909.91.3.461.
   Web of Science ®Google Scholar