Main Article Content
FLR adopts the Attribution-NonCommercial-NoDerivs Creative Common License (BY-NC-ND). That is, Copyright for articles published in this journal is retained by the authors with, however, first publication rights granted to the journal. By virtue of their appearance in this open access journal, articles are free to use, with proper attribution, in educational and other non-commercial settings.
Alin, A. (2010). Multicollinearity. Wiley Interdisciplinary Reviews: Computational Statistics, 2(3), 370–374. https://doi.org/10.1002/wics.84
Boliver, V. (2015). Are there distinctive clusters of higher and lower status universities in the UK? Oxford Review of Education, 41(5), 608–627. https://doi.org/10.1080/03054985.2015.1082905
Broecke, S., & Nicholls, T. (2007). Ethnicity and degree attainment (DfES Research Report RW92). DfES.
Cheung, M. W. L. (2019). A guide to conducting a meta-analysis with non-independent effect sizes. Neuropsychology Review, 29(4), 387–396. https://doi.org/10.1007/s11065-019-09415-6
Courville, T., & Thompson, B. (2001). Use of structure coefficients in published multiple regression articles: β is not enough. Educational and Psychological Measurement, 61(2), 229–248. https://doi.org/10.1177/0013164401612006
Cousin, G., & Cuerton, D. (2012). Disparities in student attainment (DISA). Higher Education Academy (HEA). https://www.advance-he.ac.uk/knowledge-hub/disparities-student-attainment
Dunlap, W. P., & Landis, R. S. (1998). Interpretations of multiple regression borrowed from factor analysis and canonical correlation. The Journal of General Psychology, 125(4), 397–407. https://doi.org/10.1080/00221309809595345
Field, A. P. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage.
Field, A. P., & Gillett, R. (2010). How to do a meta-analysis. British Journal of Mathematical and Statistical Psychology, 63(3), 665–694. https://doi.org/10.1348/000711010X502733
Fisher, Z., Tipton, E., & Zhipeng, H. (2017). robumeta (Version 2.0) [Computer software]. https://cran.r-project.org/package=robumeta
France, M. K., Finney, S. J., & Swerdzewski, P. (2010). Students’ group and member attachment to their university: A construct validity study of the University Attachment Scale. Educational and Psychological Measurement, 70(3), 440–458. https://doi.org/10.1177/0013164409344510
Freedman, D. A. (1999). Ecological inference and the ecological fallacy (Technical Report 549). https://statistics.berkeley.edu/sites/default/files/tech-reports/549.pdf
Gravett, K. (2019). Troubling transitions and celebrating becomings: from pathway to rhizome. Studies in Higher Education, 1–12. https://doi.org/10.1080/03075079.2019.1691162
Hedges, L. V., Borenstein, M., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. John Wiley & Sons, Ltd.
Hedges, L. V., Tipton, E., & Johnson, M. C. (2010). Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods, 1(1), 39–65. https://doi.org/10.1002/jrsm.5
Jones, S. (2018). Expectation vs experience: might transition gaps predict undergraduate students’ outcome gaps? Journal of Further and Higher Education, 42(7), 908–921. https://doi.org/10.1080/0309877X.2017.1323195
Karpen, S. C. (2017). Misuses of regression and ANCOVA in educational research. American Journal of Pharmaceutical Education, 81(8), 84–85. https://doi.org/10.5688/ajpe6501
Lens, D., & Levrau, F. (2020). Can pre-entry characteristics account for the ethnic attainment gap? An analysis of a Flemish university. Research in Higher Education, 61(1), 26–50. https://doi.org/10.1007/s11162-019-09554-y
Miller, M. (2016). The ethnicity attainment gap: literature review. The University of Sheffield Widening Participation Research & Evaluation Unit. https://www.sheffield.ac.uk/polopoly_fs/1.661523!/file/BME_Attainment_Gap_Literature_Review_EXTERNAL_-_Miriam_Miller.pdf
Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82. https://doi.org/10.1093/esr/jcp006
Mountford-Zimdars, A., Sabri, D., Moore, J., Sanders, J., Jones, S., & Hiagham, L. (2015). Causes of differences in student outcomes. Higher Education Funding Council for England (HEFCE). https://webarchive.nationalarchives.gov.uk/20180405123119/http://www.hefce.ac.uk/pubs/rereports/Year/2015/diffout/
Mountford-Zimdars, A., Sanders, J., Moore, J., Sabri, D., Jones, S., & Higham, L. (2017). What can universities do to support all their students to progress successfully throughout their time at university? Perspectives: Policy and Practice in Higher Education, 21(2–3), 101–110. https://doi.org/10.1080/13603108.2016.1203368
OfS. (n.d.). Continuation and attainment gaps. https://www.officeforstudents.org.uk/advice-and-guidance/promoting-equal-opportunities/evaluation-and-effective-practice/continuation-and-attainment-gaps/
Pigott, T. D., & Polanin, J. R. (2020). Methodological guidance paper: High-quality meta-analysis in a systematic review. Review of Educational Research, 90(1), 24–46. https://doi.org/10.3102/0034654319877153
Schwartz, S. (1994). The fallacy of the ecological fallacy: the potential misuse of a concept and the consequences. American Journal of Public Health, 84(5), 819–824. https://doi.org/10.2105/AJPH.84.5.819
Singh, G. (2011). Black and Minority Ethnic (BME) students participation in higher education: improving retention and success. Higher Education Academy (HEA). https://www.heacademy.ac.uk/system/files/bme_synthesis_final.pdf
Stevenson, J. (2012). Black and minority ethnic student degree retention and attainment. Higher Education Academy (HEA). https://www.heacademy.ac.uk/system/files/bme_summit_final_report.pdf
Tanner-Smith, E. E., & Tipton, E. (2014). Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and SPSS. Research Synthesis Methods, 5(1), 13–30. https://doi.org/10.1002/jrsm.1091
Tanner-Smith, E. E., Tipton, E., & Polanin, J. R. (2016). Handling complex meta-analytic data structures using robust variance estimates: a tutorial in R. Journal of Developmental and Life-Course Criminology, 2(1), 85–112. https://doi.org/10.1007/s40865-016-0026-5
Thompson, C. G., Kim, R. S., Aloe, A. M., & Becker, B. J. (2017). Extracting the Variance Inflation Factor and other multicollinearity diagnostics from typical regression results. Basic and Applied Social Psychology, 39(2), 81–90. https://doi.org/10.1080/01973533.2016.1277529
Tieben, N. (2020). Non-completion, transfer, and dropout of traditional and non-traditional students in Germany. Research in Higher Education, 61(1), 117–141. https://doi.org/10.1007/s11162-019-09553-z
Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.). University of Chicago Press.
Tipton, E., & Pustejovsky, J. E. (2015). Small-sample adjustments for tests of moderators and model fit using robust variance estimation in meta-regression. Journal of Educational and Behavioral Statistics, 40(6), 604–634. https://doi.org/10.3102/1076998615606099
Tonidandel, S., & LeBreton, J. M. (2015). RWA Web: A free, comprehensive, web-based, and user-friendly tool for relative weight analyses. Journal of Business and Psychology, 30(2), 207–216. https://doi.org/10.1007/s10869-014-9351-z
UUK & NUS. (2019). Black, Asian and minority ethnic student attainment at UK universities: #closingthegap. Universities UK & National Union of Students. https://www.universitiesuk.ac.uk/news/Pages/Universities-acting-to-close-BAME-student-attainment-gap.aspx
Woodfield, R. (2014). Undergraduate retention and attainment across the disciplines. Higher Education Academy (HEA). https://www.advance-he.ac.uk/knowledge-hub/undergraduate-retention-and-attainment-across-disciplines