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Research Articles

The effect of self-assessment on academic performance and the role of explicitness: a meta-analysis

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References

  • Acuna, E., and C. Rodriguez. 2004. “A Meta-Analysis Study of Outlier Detection Methods in Classification.” Technical Paper, Department of Mathematics, University of Puerto Rico at Mayaguez. https://academic.uprm.edu/∼eacuna/paperout.pdf
  • Andrade, H. L. 2010. “Students as the Definitive Source of Formative Assessment: Academic Self-Assessment and the Self-Regulation of Learning.” In Handbook of Formative Assessment, edited by H. L. Andrade, and G. J. Cizek, 90–105. New York: Routledge.
  • Andrade, H. L. 2019. “A Critical Review of Research on Student Self-Assessment.” Frontiers in Education 4: 4. doi:10.3389/feduc.2019.00087.
  • Andrade, H. L., and B. Boulay. 2003. “Gender and the Role of Rubric-Referenced Self-Assessment in Learning to Write.” The Journal of Educational Research 97 (1): 21–34. doi:10.1080/00220670309596625.
  • Andrade, H. L., and Y. Du. 2007. “Student Responses to Criteria-Referenced Self-Assessment.” Assessment & Evaluation in Higher Education 32 (2): 159–181. doi:10.1080/02602930600801928.
  • Assink, M., and C. J. Wibbelink. 2016. “Fitting Three-Level Metanalytic Models in R: A Step-by-Step Tutorial.” The Quantitative Methods for Psychology 12 (3): 154–174. doi:10.20982/tqmp.12.3.p154.
  • Baas, D., J. Castelijns, M. Vermeulen, R. Martens, and M. Segers. 2015. “The Relation between Assessment for Learning and Elementary Students’ Cognitive and Metacognitive Strategy Use.” The British Journal of Educational Psychology 85 (1): 33–46. doi:10.1111/bjep.12058.
  • Becker, B. J. 1988. “Synthesizing Standardized Mean-Change Measures.” British Journal of Mathematical and Statistical Psychology 41 (2): 257–278. doi:10.1111/j.2044-8317.1988.tb00901.x.
  • Birjandi, P., and N. H. Tamjid. 2012. “The Role of Self-, Peer and Teacher Assessment in Promoting Iranian EFL Learners’ Writing Performance.” Assessment & Evaluation in Higher Education 37 (5): 513–533. doi:10.1080/02602938.2010.549204.
  • Blanch-Hartigan, D. 2011. “Medical Students’ Self-Assessment of Performance: Results from Three Meta-Analyses .” Patient Education and Counseling 84 (1): 3–9. doi:10.1016/j.pec.2010.06.037.
  • Boud, D. 1989. “The Role of Self Assessment in Student Grading.” Assessment & Evaluation in Higher Education 14 (1): 20–30. doi:10.1080/0260293890140103.
  • Boud, D. 1999. “Avoiding the Traps: Seeking Good Practice in the Use of Self Assessment and Reflection in Professional Courses.” Social Work Education 18 (2): 121–132. doi:10.1080/02615479911220131.
  • Boud, D., and N. Falchikov. 1989. “Quantitative Studies of Student Self-Assessment in Higher Education: A Critical Analysis of Findings.” Higher Education 18 (5): 529–549. doi:10.1007/BF00138746.
  • Boud, D., and N. Falchikov. 2006. “Aligning Assessment with Long-Term Learning.” Assessment & Evaluation in Higher Education 31 (4): 399–413. doi:10.1080/02602930600679050.
  • Boud, D., R. Lawson, and D. G. Thompson. 2013. “Does Student Engagement in Self-Assessment Calibrate Their Judgement over Time?” Assessment & Evaluation in Higher Education 38 (8): 941–956. doi:10.1080/02602938.2013.769198.
  • Brown, G. T. L., H. Andrade, and F. Chen. 2015. “Accuracy in Student Self-Assessment: Directions and Cautions for Research.” Assessment in Education: Principles, Policy & Practice 22 (4): 444–457. doi:10.1080/0969594X.2014.996523.
  • Brown, G. T. L., and L. R. Harris. 2013. “Student Self-Assessment.” In the SAGE Handbook of Research on Classroom Assessment, edited by J. H. McMillan, 367–393. Thousand Oaks: Sage.
  • Brown, G. T. L., and L. R. Harris. 2014. “The Future of Self-Assessment in Classroom Practice: Reframing Self-Assessment as a Core Competency.” Frontline Learning Research 3: 22–30. doi:10.14786/flr.v2i1.24.
  • Butler, D. L., and P. H. Winne. 1995. “Feedback and Self-Regulated Learning: A Theoretical Synthesis.” Review of Educational Research 65 (3): 245–281. doi:10.3102/00346543065003245.
  • Cheung, M. W. L. 2014. “Modeling Dependent Effect Sizes with Three-Level Meta-Analyses: A Structural Equation Modeling Approach.” Psychological Methods 19 (2): 211–229. doi:10.1037/a0032968.
  • Coburn, K. M., and J. K. Vevea. 2019. “Weightr: Estimating Weight-Function Models for Publication Bias.” R package version 2.0.2.
  • Cohen, J. C. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. NJ: Lawrence Erlbaum Erlbaum Associates.
  • Dochy, F., M. Segers, and D. Sluijsmans. 1999. “The Use of Self-, Peer and Co-Assessment in Higher Education: A Review.” Studies in Higher Education 24 (3): 331–350. doi:10.1080/03075079912331379935.
  • Egger, M., G. Davey-Smith, M. Schneider, and C. Minder. 1997. “Bias in Meta-Analysis Detected by a Simple, Graphical Test.” BMJ (Clinical Research ed.) 315 (7109): 629–634. doi:10.1136/bmj.315.7109.629.
  • Falchikov, N., and D. Boud. 1989. “Student Self-Assessment in Higher Education: A Meta-Analysis.” Review of Educational Research 59 (4): 395–430. doi:10.3102/00346543059004395.
  • Fernández-Castilla, B., L. Declercq, L. Jamshidi, S. N. Beretvas, P. Onghena, and W. van den Noortgate. 2021. “Detecting Selection Bias in Meta-Analyses with Multiple Outcomes: A Simulation Study.” The Journal of Experimental Education 89 (1): 125–144. doi:10.1080/00220973.2019.1582470.
  • Fleiss, J. L. 1971. “Measuring Nominal Scale Agreement among Many Raters.” Psychological Bulletin 76 (5): 378–382. doi:10.1037/h0031619.
  • Harrer, M., P. Cuijpers, T. A. Furukawa, and D. D. Ebert. 2021. Doing Meta-Analysis with R: A Hands-on Guide. Florida: CRC Press.
  • Harris, L. R., and G. T. L. Brown. 2018. Using Self-Assessment to Improve Student Learning. New York: Routledge.
  • Hattie, J. 2008. Visible Learning: A Synthesis of over 800 Meta-Analyses Relating to Achievement. New York: Routledge.
  • Hedges, L. V. 1981. “Distribution Theory for Glass’s Estimator of Effect Size and Related Estimators.” Journal of Educational Statistics 6 (2): 107–128. doi:10.3102/10769986006002107.
  • Higgins, J. P., J. Thomas, J. Chandler, M. Cumpston, T. Li, M. J. Page, and V. A. Welch. 2019. Cochrane Handbook for Systematic Reviews of Interventions. New Jersey: John Wiley & Sons.
  • Li, M., and X. Zhang. 2021. “A Meta-Analysis of Self-Assessment and Language Performance in Language Testing and Assessment.” Language Testing 38 (2): 189–218. doi:10.1177/0265532220932481.
  • Light, R. J., and D. B. Pillemer. 1984. Summing up: The Science of Reviewing Research. Cambridge, MA: Harvard University Press.
  • Lipnevich, A. A., D. A. G. Berg, and J. K. Smith. 2016. “Toward a Model of Student Response to Feedback.” In Handbook of Human and Social Conditions in Assessment, edited by G. T. L. Brown and L. R. Harris, 169–185. New York: Routledge.
  • Murano, D., J. E. Sawyer, and A. A. Lipnevich. 2020. “A Meta-Analytic Review of Preschool Social and Emotional Learning Interventions.” Review of Educational Research 90 (2): 227–263. doi:10.3102/0034654320914743.
  • Nicol, D. 2021. “The Power of Internal Feedback: Exploiting Natural Comparison Processes.” Assessment & Evaluation in Higher Education 46 (5): 756–778. doi:10.1080/02602938.2020.1823314.
  • Nicol, D., and S. McCallum. 2021. “Making Internal Feedback Explicit: Exploiting the Multiple Comparisons That Occur during Peer Review.” Assessment & Evaluation in Higher Education : 1–19. doi:10.1080/02602938.2021.1924620.
  • Panadero, E., G. T. L. Brown, and J.-W. Strijbos. 2016. “The Future of Student Self-Assessment: A Review of Known Unknowns and Potential Directions.” Educational Psychology Review 28 (4): 803–830. doi:10.1007/s10648-015-9350-2.
  • Panadero, E., A. Jonsson, and J. Botella. 2017. “Effects of Self-Assessment on Self-Regulated Learning and Self-Efficacy: Four Meta-Analyses.” Educational Research Review 22: 74–98. doi:10.1016/j.edurev.2017.08.004.
  • Panadero, E., A. A. Lipnevich, and J. Broadbent. 2019. “Turning Self-Assessment into Self-Feedback.” In The Impact of Feedback in Higher Education: Improving Assessment Outcomes for Learners, edited by D. Boud, M. D. Henderson, R. Ajjawi, and E. Molloy. London: Springer Nature.
  • Panadero, E., and M. Romero. 2014. “To Rubric or Not to Rubric? The Effects of Self-Assessment on Self-Regulation, Performance and Self-Efficacy.” Assessment in Education: Principles.” Policy & Practice 21 (2): 133–148. doi:10.1080/0969594X.2013.877872.
  • Sanchez, C. E., K. M. Atkinson, A. C. Koenka, H. Moshontz, and H. Cooper. 2017. “Self-Grading and Peer-Grading for Formative and Summative Assessments in 3rd through 12th Grade Classrooms: A Meta-Analysis.” Journal of Educational Psychology 109 (8): 1049–1066. doi:10.1037/edu0000190.
  • Schwarzer, G. 2007. “Meta: An R Package for Meta-Analysis.” R News 7 (3): 40–45.
  • Sitzmann, T., K. Ely, K. G. Brown, and K. N. Bauer. 2010. “Self-Assessment of Knowledge: A Cognitive Learning or Affective Measure?” Academy of Management Learning & Education 9 (2): 169–191. doi:10.5465/amle.9.2.zqr169.
  • Thomas, B. H., D. Ciliska, M. Dobbins, and S. Micucci. 2004. “A Process for Systematically Reviewing the Literature: Providing the Research Evidence for Public Health Nursing Interventions.” Worldviews on Evidence-Based Nursing 1 (3): 176–184. doi:10.1111/j.1524-475X.2004.04006.x.
  • van den Noortgate, W., J. A. López-López, F. Marín-Martínez, and J. Sánchez-Meca. 2013. “Three-Level Meta-Analysis of Dependent Effect Sizes.” Behavior Research Methods 45 (2): 576–594. doi:10.3758/s13428-012-0261-6.
  • Vevea, J. L., and C. M. Woods. 2005. “Publication Bias in Research Synthesis: Sensitivity Analysis Using a Priori Weight Functions.” Psychological Methods 10 (4): 428–443. doi:10.1037/1082-989X.10.4.428.
  • Viechtbauer, W. 2010. “Conducting Meta-Analyses in R with the Metafor Package.” Journal of Statistical Software 36 (3): 1–48. doi:10.18637/jss.v036.i03.
  • Wickham, H., M. Averick, J. Bryan, W. Chang, L. D. A. McGowan, R. François, G. Grolemund, et. al. 2019. “Welcome to the Tidyverse.” Journal of Open Source Software 4 (43): 1686. doi:10.21105/joss.01686.
  • Yan, Z. 2016. “The Self-Assessment Practices of Hong Kong Secondary Students: Findings with a New Instrument.” Journal of Applied Measurement 17 (3): 1–19.
  • Yan, Z. 2018. “Student Self-Assessment Practices: The Role of Gender, Year Level, and Goal Orientation.” Assessment in Education: Principles.” Policy & Practice 25 (2): 183–199. doi:10.1080/0969594X.2016.1218324.
  • Yan, Z. 2020. “Self-Assessment in the Process of Self-Regulated Learning and Its Relationship with Academic Achievement.” Assessment & Evaluation in Higher Education 45 (2): 224–238. doi:10.1080/02602938.2019.1629390.
  • Yan, Z., and D. Boud. 2022. “Conceptualising Assessment-as-Learning.” In Assessment as Learning: Maximising Opportunities for Student Learning and Achievement, edited by Z. Yan, and L. Yang, 11–24. New York: Routledge.
  • Yan, Z., and G. T. L. Brown. 2017. “A Cyclical Self-Assessment Process: Towards a Model of How Students Engage in Self-Assessment.” Assessment & Evaluation in Higher Education 42 (8): 1247–1262. doi:10.1080/02602938.2016.1260091.
  • Yan, Z., Z. Li, E. Panadero, M. Yang, L. Yang, and H. Lao. 2021. “A Systematic Review on Factors Influencing Teachers’ Intentions and Implementations regarding Formative Assessment.” Assessment in Education: Principles.” Policy & Practice 28 (3): 228–260. doi:10.1080/0969594X.2021.1884042.
  • Youde, Jeffrey J. 2019. “A Meta-analysis of the Effects of Reflective Self-assessment on Academic Achievement in Primary and Secondary Populations.” PhD diss., University of Seattle Pacific, ProQuest (27542662).