Is household income a reliable measure when assessing educational outcomes? A Jigsaw of two datasets (Next Steps and National Pupil Database) for understanding indicators of disadvantage

References

• Anders, J., 2012a. Using the longitudinal studies of young people in England for research into Higher Education access. DoQSS, Working Paper No.12-13, Institute of Education, University of London.
   Google Scholar
• Anders, J., 2012b. The link between household income, university applications and university admissions. Fiscal studies, 33 (2), 185–210.
   Web of Science ®Google Scholar
• Baker, C., Wood, H., and Heptintsall, 2015. Matching the NPD to longitudinal studies (PPT presentation). Department for Education. Available from: https://www.bristol.ac.uk/media-library/sites/cmpo/migrated/documents/heptinstall12.pdf.
   Google Scholar
• Bee, A., and Mitchell, J., 2017. Do older Americans have more income than we think? (Vol. 39). SESHD Working Paper. Available from: https://www.census.gov/content/dam/Census/library/working-papers/2017/demo/SEHSD-WP2017-39.pdf.
   Google Scholar
• Bhattacharya, S., 2021. Intergroup contact and its effects on discriminatory attitudes evidence from India, WIDER Working Paper 2021/42, WIDER Working Paper 2021/42-Intergroup contact and its effects on discriminatory attitudes: evidence from India (unu.edu).
   Google Scholar
• Boliver, V., Gorard, S., and Siddiqui, N., 2021. Using contextual data to widen access to higher education. Perspectives: policy and practice in higher education, 25 (1), 7–13.
   Google Scholar
• Byrne, D., and Treanor, M., 2020. Income, poverty and deprivation among children – a statistical baseline analysis. Department of Children and Youth Affairs. https://www.gov.ie/en/publication/a1580-income-poverty-and-deprivation-among-children-a-statistical-baseline-analysis-july-2020/.
   Google Scholar
• Chmielewskia, A., 2019. The global increase in the socioeconomic achievement gap, 1964 to 2015. American sociological review, doi:10.1177/0003122419847165.
   Web of Science ®Google Scholar
• D’Aurizio, L., et al., 2008. The under-reporting of households’ financial assets in Italy. IPM24 with IAOS: Measuring productivity, 415.
   Google Scholar
• Department for Education, 2013. Raising the participation age (RPA). London: DfE. Available from: http://webarchive.nationalarchives.gov.uk/20130321071322/https://www.education.gov.uk/publications/eOrderingDownload/01134-2009.pdf.
   Google Scholar
• Department for Education, 2018. Understanding school and college performance measures. Available from: https://www.gov.uk/government/publications/understanding-school-and-college-performance-measures [Accessed 17 Sept 2019].
   Google Scholar
• Department of Education (DfE), 2021. National Pupil Database-NPD debatable updates for October 2021. Available from: https://www.gov.uk/guidance/apply-for-department-for-education-dfe-personal-data#apply-to-dfe-for-access-to-dfe-personal-data-through-the-ons-srs.
   Google Scholar
• Dickerson, A., Maragkou, K., and McIntosh, S., Oct 2018. The causal effect of secondary school peers on educational aspirations, CVER Discussion Paper Series – ISSN 2398-7553. Available from: http://cver.lse.ac.uk/textonly/cver/pubs/cverdp017.pdf.
   Google Scholar
• Domina, T., et al., 2018. Is free and reduced-price lunch a valid measure of educational disadvantage? Educational researcher, 47 (9), 539–555.
   Web of Science ®Google Scholar
• Education Endowment Foundation, 2017. The attainment gap, Available from: https://educationendowmentfoundation.org.uk/about/annual-reports/2011-2017/.
   Google Scholar
• Fairfield, T., and Jorratt De Luis, M., 2016. Top income shares, business profits, and effective tax rates in contemporary Chile. Review of income and wealth, 62 (S1). Available from: https://assets.publishing.service.gov.uk/media/57a089ed40f0b652dd000488/ICTD-WP17.pdf.
   Google Scholar
• Franck, E., and Nicaise, I., 2017. The effectiveness of equity funding in education in Western countries. Literature Review (Report no. 2/2017). Geraadpleegd via. Available from: http://nesetweb.eu/wp-content/uploads/NESETII_AHQ2.pdf.
   Google Scholar
• Gorard, S., 2012. Who is eligible for free school meals? Characterising free school meals as a measure of disadvantage in England. British educational research journal, 38 (6), 1003–1017.
   Web of Science ®Google Scholar
• Gorard, S., 2018. Education policy: evidence of equity and effectiveness. Bristol: Policy Press.
   Google Scholar
• Gorard, S., 2020. Handling missing data in numeric analyses. International journal of social research methodology, 23 (6), 651–660.
   Web of Science ®Google Scholar
• Gorard, S., 2021. How to make sense of statistics. London: SAGE.
   Google Scholar
• Gorard, S., 2022. Segregation and the attainment gap for permanently disadvantaged pupils in England. Educational review, doi:10.1080/00131911.2021.2007055.
   PubMed Web of Science ®Google Scholar
• Gorard, S., and Siddiqui, N., 2019. How trajectories of disadvantage help explain school attainment. SAGE open, 9 (1), 1–14.
   PubMed Web of Science ®Google Scholar
• Gov.uk, 2010. Government announces pupil premium to raise achievement. Available from: https://www.gov.uk/government/news/government-announces-pupil-premium-to-raise-achievement.
   Google Scholar
• Hanushek, E.A., et al., 2019. The achievement gap FAILS TO CLOSE: half century of testing shows persistent divide between haves and have-nots. Education next, 19 (3), 8.
   Google Scholar
• Hawkes, D., Plewis, I., and Verropoulou, G., 2008. Missing income data in the Millennium Cohort Study: Evidence from the first two sweeps. Available from: http://www.cls.ioe.ac.uk/library-media/documents/CLS_WP_2008_10_(1).pdf.
   Google Scholar
• Hewstone, M., et al., 2018. Influence of segregation versus mixing: intergroup contact and attitudes among White-British and Asian-British students in high schools in Oldham: England. Theory and research in education, doi:10.1177/1477878518779879.
   Web of Science ®Google Scholar
• Hobbs, G., and Vignoles, A., 2010. Is children’s free school meal ‘eligibility’ a good proxy for family income? British educational research journal, 36 (4), 673–690.
   Web of Science ®Google Scholar
• Ilie, S., Sutherland, A., and Vignoles, A., 2017. Revisiting free school meal eligibility as a proxy for pupil socio-economic deprivation. British educational research journal, 43 (2), 253–274.
   Web of Science ®Google Scholar
• Iniesta-Martinez, S., and Evans, H., 2012. Pupils not claiming free school meals. Available from: http://dera.ioe.ac.uk/16039/1/DFE-RR235.pdf.
   Google Scholar
• Jenkins, S.P., 2010. The British household panel survey and its income data. Available from: https://www.iser.essex.ac.uk/files/iser_working_papers/2010-33.pdf.
   Google Scholar
• Johnson, D.T., and Scutella, R., 2003. Understanding and improving data quality relating to low-income households. Available from: https://www.dss.gov.au/sites/default/files/documents/05_2012/prp24.pdf.
   Google Scholar
• Lee, D., and Lemieux, T., 2010. Regression discontinuity designs in economics. Journal of economic literature, 48 (2), 281–355.
   Web of Science ®Google Scholar
• Lessof, C., et al., 2018. Understanding KS4 attainment and progress: evidence from LSYPE2. Research report. DFE. Available from: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/748514/Understanding_KS4_LSYPE2_research-report.pdf.
   Google Scholar
• Lord, A., Easby, J., and Evans, H., 2013. Pupils not claiming free school meals. DfE. Available from: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/266339/DFE-RR319.pdf.
   Google Scholar
• Paulus, A., 2015. Income underreporting based on income expenditure gaps: Survey vs tax records (No. 2015-15). ISER Working Paper Series. Available at Paulus, A. (2015). Income underreporting based on income expenditure gaps: Survey vs tax records (No. 2015-15). ISER Working Paper Series.
   Google Scholar
• Shadish, W., Cook, T., and Campbell, D., 2002. Experimental and quasi-experimental designs for generalized causal inference. New York: Houghton Mifflin Company.
   Google Scholar
• Siddiqui, N., 2017. Socio-economic segregation of disadvantaged children between schools in Pakistan: comparing the state and private sector. Educational studies, 43 (4), 391–409.
   Web of Science ®Google Scholar
• Siddiqui, N., Boliver, V., and Gorard, S., 2019. Reliability of longitudinal social surveys of access to higher education: the case of next steps in England. Social inclusion, 7 (1), 80–89.
   Web of Science ®Google Scholar
• Storey, H., et al., 2011. A randomized controlled trial of the effect of school food and dining room modifications on classroom behaviour in secondary school children. European journal of clinical nutrition, 65, 32–38.
   PubMed Web of Science ®Google Scholar
• Taylor, C., 2018. The reliability of free school meal eligibility as a measure of socio-economic disadvantage: evidence from the millennium cohort study in Wales. British journal of educational studies, 66 (1), 29–51.
   Web of Science ®Google Scholar
• The Guardian, 2003. Extra £1bn pledged to cut child poverty, The Guardian, 11/12/2003. Available from: https://www.theguardian.com/society/2003/dec/11/socialexclusion.budget2004.
   Google Scholar
• The Sutton Trust-Education Endowment Foundation Teaching and Learning Toolkit, 2015. The pupil premium next steps. Pupil Premium: Next Steps - Sutton Trust.
   Google Scholar
• Yang, Z., 2019. Measurement of childhood poverty in the United States and its enduring influences. Journal of sociology and social welfare, 46 (2), 47–73.
   Google Scholar