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Thematic Issue: Socio-economic inequality and education

Direct and indirect influences of familial socioeconomic status on students’ science achievement

References

  • Acosta, S., & Hsu, H. Y. (2014). Shared academic values: Testing a model of the association between Hong Kong parents’ and adolescents’ perception of the general value of science and scientific literacy. Educational Studies, 40(2), 174–195. https://doi.org/10.1080/03055698.2013.866889
  • Alivernini, F., & Manganelli, S. (2015). Country, school and student factors associated with extreme levels of science literacy across 25 countries. International Journal of Science Education, 37(12), 1992–2012. https://doi.org/10.1080/09500693.2015.1060648
  • Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). ‘‘Science capital’’: A conceptual, methodological, and empirical argument for extending Bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52(7), 922–948. https://doi.org/10.1002/tea.21227
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
  • Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A., Tsai, Y.-M., Krauss, S., Neubrand, M., & Tsai, Y.-M. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Educational Research Journal, 47(1), 133–180. https://doi.org/10.3102/0002831209345157
  • Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371–399. https://doi.org/10.1146/annurev.psych.53.100901.135233
  • Bukodi, E., & Goldthorpe, J. H. (2013). Decomposing ‘social origins’: The effects of parents’ class, status, and education on the educational attainment of their children. European Sociological Review, 29(5), 1024–1039. https://doi.org/10.1093/esr/jcs079
  • Cairnes, D., & Areepattamannil, S. (2019). Exploring the relations of inquiry-based teaching to science achievement and dispositions in 54 countries. Research in Science Education, 49(1), 1–23. https://doi.org/10.1007/s11165-017-9639-x
  • Chen, L.-K., Dorn, E., Krawitz, M., Lim, C. S. H., & Mourshed, M. (2017). Drivers of student performance: Insights from Asia. McKinsey & Company. https://www.mckinsey.com/media/McKinsey/Industries/Social%20Sector/Our%20Insights/Drivers%20of%20student%20performance%20Asia%20insights%20revised/Drivers-of-student-performance-Insights-from-Asia.ashx
  • Chi, S., Liu, X., Wang, Z., & Han, S. W. (2018). Moderation of the effects of scientific inquiry activities on low SES students’ PISA 2015 science achievement by school teacher support and disciplinary climate in science classroom across gender. International Journal of Science Education, 40(11), 1284–1304. https://doi.org/10.1080/09500693.2018.1476742
  • Coleman, J. S., Campbell, E. Q., Hobson, C. J., McPartland, J., Mood, A. M., Weinfeld, F. D., & York, R. L. (1966). Equality of educational opportunity. US Government Printing Office.
  • Cooper, G., & Berry, A. (2020). Demographic predictors of senior secondary participation in biology, physics, chemistry and earth/space sciences: Students’ access to cultural, social and science capital. International Journal of Science Education, 42(1), 151–166. https://doi.org/10.1080/09500693.2019.1708510
  • Day, C., Sammons, P., Kington, A., Regan, E., Ko, J., Brown, E., Gunraj, J. , and Robertson, D. (2008). Effective classroom practice (ECP): A mixed-method study of influences and outcomes (Report submitted to the Economic and Social Research Council RES-000-23-1564). School of Education, University of Nottingham.
  • De Loof, H., Boeve de Pauw, J., & Van Petegem, P. (2021). Engaging students with integrated STEM education: A happy marriage or a failed engagement? International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-021-10159-0
  • Deng, F., Chen, D.-T., Tsai, C.-C., & Chai, C. S. (2011). Students’ views of the nature of science: A critical review of research. Science Education, 95(6), 961–999. https://doi.org/10.1002/sce.20460
  • Diouani, A. E. (2021). The role of cultural capital in enhancing EFL learners’ proficiency: Putting Bourdieu to the test. Pedagogy, Culture & Society, 1–18. https://doi.org/10.1080/14681366.2021.2001560
  • Ditton, H., Bayer, M., & Wohlkinge, F. (2019). Structural and motivational mechanisms of academic achievement: A mediation model of social‐background effects on academic achievement. The British Journal of Sociology, 17(4), 1276–1296. https://doi.org/10.1111/1468-4446.12506
  • Donaldson, S. I., Dollwet, M., & Rao, M. A. (2015). Happiness, excellence, and optimal human functioning revisited: Examining the peer-reviewed literature linked to positive psychology. The Journal of Positive Psychology, 10(3), 185–195. https://doi.org/10.1080/17439760.2014.943801
  • Eccles, J. S. (2005). Influences of parents’ education on their children’s educational attainments: The role of parent and child perceptions. London Review of Education, 3(3), 191–204. https://doi.org/10.1080/14748460500372309
  • Forbes, C. T., Neumann, K., & Schiepe-Tiska, A. (2020). Patterns of inquiry-based science instruction and student science achievement in PISA 2015. International Journal of Science Education, 42(5), 783–806. https://doi.org/10.1080/09500693.2020.1730017
  • Ganzeboom, H. B. G., & Treiman, D. J. (2003). Three internationally standardised measures for comparative research on occupational status. In J. H. P. Hoffmeyer-Zlotnik & C. Wolf (Eds.), Advances in cross-national comparison: A European working book for demographic and socio-economic variables (pp. 159–193). Kluwer Academic Press.
  • Gilleece, L., Cosgrove, J., & Sofroniou, N. (2010). Equity in mathematics and science outcomes: Characteristics associated with high and low achievement on PISA 2006 in Ireland. International Journal of Science and Mathematics Education, 8(3), 475–496. https://doi.org/10.1007/s10763-010-9199-2
  • Goodstadt, L. F. (2013). Poverty in the midst of affluence: How Hong Kong government mismanaged its prosperity (2nd ed.). HKU Press.
  • Häkkinen, I., Kirjavainen, T., & Uusitalo, R. (2003). School resources and student achievement revisited: New evidence from panel data. Economics of Education Review, 22(3), 329–335. https://doi.org/10.1016/S0272-7757(02)00060-2
  • Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487
  • Hidi, S. (2006). Interest: A unique motivational variable. Educational Research Review, 1(2), 69–82. https://doi.org/10.1016/j.edurev.2006.09.001
  • Hidi, S., & Renninger, A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127. https://doi.org/10.1207/s15326985ep4102_4
  • Ho, E. S. C. (2010). Family influences on science learning among Hong Kong adolescents: What we learned from PISA. International Journal of Science and Mathematics Education, 8(3), 409–428. https://doi.org/10.1007/s10763-010-9198-3
  • Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefs about knowledge and knowing and their relation to learning. Review of Educational Research, 67(1), 88–140. https://doi.org/10.3102/00346543067001088
  • Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63–84. https://doi.org/10.1016/j.edurev.2015.11.002
  • Houtenville, A. J., & Conway, K. S. (2008). Parental effort, school resources, and student achievement. The Journal of Human Resources, 43(2), 437–453. https://doi.org/10.1353/jhr.2008.0027
  • Huang, H., & Liang, G. (2016). Parental cultural capital and student school performance in mathematics and science across nations. The Journal of Educational Research, 109(3), 286–295. https://doi.org/10.1080/00220671.2014.946122
  • Hwang, J., Choi, K. M., Bae, Y., & Shin, D. H. (2018). Do teachers’ instructional practices moderate equity in mathematical and scientific literacy?: An investigation of the PISA 2012 and 2015. International Journal of Science and Mathematics Education, 16(S1), 25–45. https://doi.org/10.1007/s10763-018-9909-8
  • Jeynes, W. H. (2002). The challenge of controlling for SES in social science and education research. Educational Psychology Review, 14(2), 205–221. https://doi.org/10.1023/A:1014678822410
  • Johnstonbaugh, M. (2018). Conquering with capital: Social, cultural, and economic capital’s role in combating socioeconomic disadvantage and contributing to educational attainment. Journal of Youth Studies, 21(5), 590–606. https://doi.org/10.1080/13676261.2017.1406069
  • Kähler, J., Hahn, I., & Köller, O. (2020). The development of early scientific literacy gaps in kindergarten children. International Journal of Science Education, 42(12), 1988–2007. https://doi.org/10.1080/09500693.2020.1808908
  • Kang, J., Salonen, A., Tolppanen, S., Scheersoi, A., Hense, J., Rannikmae, M., Soobard, R., & Keinonen, T. (2021). Effect of embedded careers education in science lessons on students’ interest, awareness, and aspirations. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-021-10238-2
  • Kaplan, D., & Su, D. (2018). On imputation for planned missing data in context questionnaires using plausible values: A comparison of three designs. Large-Scale Assessments in Education, 6(1), 1–31. https://doi.org/10.1186/s40536-018-0059-9
  • Kiran, D., Sungur, S., & Yerdelen, S. (2019). Predicting science engagement with motivation and teacher characteristics: A multilevel investigation. International Journal of Science and Mathematics Education, 17(1), 67–99. https://doi.org/10.1007/s10763-018-9882-2
  • Klieme, E., Pauli, C., & Reusser, K. (2009). The power of video studies in investigating teaching and learning in the classroom. In T. Janik & T. Seidel (Eds.), The Pythagoras study (Waxmann) (pp. 137–160).
  • Klopfer, L. E. (1971). Evaluation of learning in science. In B. S. Bloom, J. T. Hastings, & G. F. Madaus (Eds.), Handbook of formative and summative evaluation of student learning. McGraw-Hill. 559–642.
  • Kohn, M. L. (1969). Class and conformity: A study in values. Dorsey.
  • Kristjansson, K. (2012). Positive psychology and positive education: Old wine in new bottles? Educational Psychologist, 47(2), 86–105. https://doi.org/10.1080/00461520.2011.610678
  • Lau, K.-C., & Lam, T.Y.-P. (2017). Instructional practices and science performance of 10 top-performing regions in PISA 2015. International Journal of Science Education, 39(15), 2128–2149. https://doi.org/10.1080/09500693.2017.1387947
  • Lederman, N. G. (1992). Students’ and teachers’ conceptions of the nature of science: A review of the research. Journal of Research in Science Teaching, 29(4), 331–359. https://doi.org/10.1002/tea.3660290404
  • Lederman, N. G. (2007). Nature of science: Past, present, and future. In S. K. Abell & N. G. Lederman (Eds.), Handbook of research on science education (pp. 831–880). Erlbaum.
  • Lee, M.-H., Liang, J.-C., Wu, Y.-T., Chiou, G.-L., Hsu, C.-Y., Wang, C.-Y., Lin, J.-W., & Tsai, C.-C. (2020). High school students’ conceptions of science laboratory learning, perceptions of the science laboratory environment, and academic self-efficacy in science learning. International Journal of Science and Mathematics Education, 18(1), 1–18. https://doi.org/10.1007/s10763-019-09951-w
  • Liang, J.-C., Lee, M.-H., & Tsai, C.-C. (2010). The relations between scientific epistemological beliefs and approaches to learning science among science-major undergraduates in Taiwan. The Asia-Pacific Education Researcher, 19(1), 43–59.
  • Lin, H.-S., Chiu, H.-L., & Chou, C.-Y. (2004). Student understanding of the nature of science and their problem-solving strategies. International Journal of Science Education, 26(1), 101–112. https://doi.org/10.1080/0950069032000070289
  • Liou, P.-Y., & Hung, Y.-C. (2015). Statistical techniques utilized in analyzing PISA and TIMSS data in science education from 1996 to 2013: A methodological review. International Journal of Science and Mathematics Education, 13(6), 1449–1468. https://doi.org/10.1007/s10763-014-9558-5
  • Lo, K. (2016, December 6). Hong Kong slips to new low in international ranking for student performance in science. South China Morning Post. https://www.scmp.com/news/hong-kong/education-community/article/2052285/hong-kong-slips-new-low-international-ranking
  • McCoach, D. B. (2003). SEM isn’t just the schoolwide enrichment model anymore: Structural equation modelling (SEM) in gifted education. Journal for the Education of the Gifted, 27(1), 36–61. https://doi.org/10.1177/016235320302700104
  • McPherson, E. (2014). Informed learning in science, math, and engineering majors for African American female undergraduates. Global Education Review, 1(4), 96–113.
  • Mueller, C. W., & Parcel, T. L. (1981). Measures of socioeconomic status: Alternatives and recommendations. Child Development, 52(1), 13–30. https://doi.org/10.2307/1129211
  • Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of Counseling Psychology, 38(1), 30–38. https://doi.org/10.1037/0022-0167.38.1.30
  • 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. https://doi.org/10.1080/0950069032000032199
  • Perera, D. L. H. (2014). Parents’ attitudes towards science and their children’s science achievement. International Journal of Science Education, 36(18), 3021–3041. https://doi.org/10.1080/09500693.2014.949900
  • Reynolds, D., Sammons, P., de Fraine, B., Van Damme, J., Townsend, T., Teddlie, C., & Stringfield, S. (2014). Educational effectiveness research (EER): A state-of-the-art review. School Effectiveness and School Improvement, 25(2), 197–230. https://doi.org/10.1080/09243453.2014.885450
  • Ruschenpohler, L., & Markic, S. (2020). How the home environment shapes students’ perceptions of their abilities: The relation between chemistry capital at home and students’ chemistry self-concept. International Journal of Science Education, 42(12), 2075–2094. https://doi.org/10.1080/09500693.2020.1812010
  • Savelsbergh, E. R., Prins, G. T., Rietbergen, C., Fechner, S., Vaessen, B. E., Draijer, J. M., & Bakker, A. (2016). Effects of innovative science and mathematics teaching on student attitudes and achievement: A meta-analytic study. Educational Research Review, 19, 158–172. https://doi.org/10.1016/j.edurev.2016.07.003
  • Schlechter, M., & Milevsky, A. (2010). Parental level of education: Associations with psychological well‐being, academic achievement and reasons for pursuing higher education in adolescence. Educational Psychology, 30(1), 1–10. https://doi.org/10.1080/01443410903326084
  • Schmidt, W. H., Burroughs, N. A., Zoido, P., & Houang, R. T. (2015). The role of schooling in perpetuating educational inequality: An international perspective. Educational Researcher, 44(7), 371–386. https://doi.org/10.3102/0013189X15603982
  • Seligman, M. E. P., & Csikszentmihalyi, M. (2000). Positive psychology: An introduction. The American Psychologist, 55(1), 5–14. https://doi.org/10.1037/0003-066X.55.1.5
  • Singer, J., & Willett, J. (2003). Doing data analysis in the multilevel model for change. Harvard University Graduate School of Education.
  • Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75(3), 417–453. https://doi.org/10.3102/00346543075003417
  • Svoboda, R. C., Rozek, C. S., Hyde, J. S., Harackiewicz, M., & Destin, M. (2016). Understanding the relationship between parental education and STEM course taking through identity-based and expectancy-value theories of motivation. AERA Open, 2(3), 1–13. https://doi.org/10.1177/2332858416664875
  • Tan, C. Y. (2018). Examining school leadership effects on student achievement: The role of contextual challenges and constraints. Cambridge Journal of Education, 48(1), 21–45. https://doi.org/10.1080/0305764X.2016.1221885
  • Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 78(4), 751–796. https://doi.org/10.3102/0034654308321456
  • Xie, Y., Fang, M., & Shauman, K. (2015). STEM education. Annual Review of Sociology, 41(1), 331–357. https://doi.org/10.1146/annurev-soc-071312-145659
  • Zhang, F., Bae, C. L., & Broda, M. (2021). Science self-concept, relatedness, and teaching quality: A multilevel approach to examining factors that predict science achievement. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-021-10165-2
  • Zimmerman, B. J., & Kitsantas, A. (1997). Developmental phases in self-regulation: Shifting from process goals to outcome goals. Journal of Educational Psychology, 89(1), 29–36. https://doi.org/10.1037/0022-0663.89.1.29

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