The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Student Self-Assessment in Higher Education: A Meta-Analysis
Abstract
Quantitative self-assessment studies that compared self- and teacher marks were subjected to a meta-analysis. Predictions stemming from the results of an earlier critical review of the literature ( Boud & Falchikov, 1989 ) were tested, and salient variables were identified. Factors that seem to be important with regard to the closeness of correspondence between self- and teacher marks were found to include the following: the quality of design of the study (with better designed studies having closer correspondence between student and teacher than poorly designed ones); the level of the course of which the assessment was a part (with students in advanced courses appearing to be more accurate assessors than those in introductory courses); and the broad area of study (with studies within the area of science appearing to produce more accurate self-assessment generally than did those from other areas of study). Results of the analysis are discussed and differences signaled by the results of the three common metrics examined. The distinction between relative and absolute judgment of performance is drawn. It is recommended that researchers give attention to both good design and to adequate reporting of self-assessment studies.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, self-assessment can correlate with holistic assessments by teaching staff (e.g., Falchikov and Boud 1989)”
From The impact of formative peer feedback on higher education students' academic writing: a Meta-Analysis (2019) · cites this paper as Falchikov and Boud 1989
Citations
Cites
Correlates, Causes, Effects, and Treatment of Test Anxiety
Hembree, R. (1988) · Review of Educational Research · doi:10.3102/00346543058001047 · Cited by 1,723
Wolf, F. (1986) · doi:10.4135/9781412984980 · Cited by 784
Flagged first, then by citations
Research works printed but not linked: 58
- Arnold L, 1985, Journal of Medical Education, 60, 21
- Bishop JB, 1971, Counselor Education and Supervision, 10, 319, 10.1002/j.1556-6978.1971.tb01462.x · DOI
- Boud DJ, 1986, International Journal of Applied Engineering Education, 2, 83
- Boud DJ, 1989, Higher Education, 18, 529, 10.1007/BF00138746 · DOI · Paper page
- Boud DJ, 1979, Journal of the Society of Public Teachers of Law, 15, 65
- Burke RJ, 1969, Journal of Educational Research, 62, 444, 10.1080/00220671.1969.10883897 · DOI
- 10.2466/pms.1975.40.3.872 · DOI
- Cochran SB, 1980, Journal of the American Diatetic Association, 76, 253, 10.1016/S0002-8223(21)05189-0 · DOI
- Cohen J, 1977, Statistical power analysis for the behavioral sciences
- D’Augelli AR, 1973, Journal of Community Psychology, 1, 177, 10.1002/1520-6629(197304)1:2<177::AID-JCOP2290010206>3.0.CO;2-5 · DOI
- Davis JK, 1980, Journal of Educational Research, 73, 207, 10.1080/00220671.1980.10885237 · DOI
- Doleys EJ, 1963, Personnel and Guidance Journal, 41, 528, 10.1002/j.2164-4918.1963.tb02337.x · DOI
- Edwards AL, 1964, Statistical methods for the behavioral sciences
- Everett MS, 1983, Educational Directions, 8, 4
- Falchikov N, 1986, Assessment and Evaluation in Higher Education, 11, 146, 10.1080/0260293860110206 · DOI
- Filene PO, 1969, Journal of Higher Education, 40, 451, 10.1080/00221546.1969.11773823 · DOI
- Fitz-Gibbon CT, 1984, British Educational Research Journal, 11, 45, 10.1080/0141192850110105 · DOI
- Forehand LS, 1982, Journal of Dental Education, 46, 221, 10.1002/j.0022-0337.1982.46.4.tb01549.x · DOI
- Freiberg HJ, 1987, Teacher Education Quarterly, 14, 71
- Fuqua DR, 1984, Journal of Counselling Psychology, 31, 249, 10.1037/0022-0167.31.2.249 · DOI
- Gaier EL, 1961, Journal of Genetic Psychology, 98, 63, 10.1080/00221325.1961.10534353 · DOI
- Glass GV, 1981, Meta-analysis in social research
- Gray TGF, 1987, European Journal of Engineering Education, 12, 311, 10.1080/03043798708939377 · DOI
- Greenfield DG, 1978, Journal of Music Therapy, 15, 15, 10.1093/jmt/15.1.15 · DOI
- Henbest RJ, 1985, Journal of Medical Education, 60, 66
- Heywood J, 1988, Assessment in higher education
- Hunter J, 1982, Meta-analysis: Cumulating research findings across studies
- Irvine JJ, 1983, Journal of Research and Development in Education, 17, 25
- Israelite L, 1983, Performance and Instruction Journal, 22, 15, 10.1002/pfi.4150220508 · DOI
- Jackson MW, 1988, Patterns of self assessment in a political analysis course
- Keefer KE, 1971, Journal of Educational Research, 64, 401, 10.1080/00220671.1971.10884203 · DOI
- 10.1177/016327878701000107 · DOI
- Kulik JA, 1979, Research in Higher Education, 11, 321, 10.1007/BF00975623 · DOI
- LeBlanc R, 1985, TESOL Quarterly, 19, 673, 10.2307/3586670 · DOI
- 10.1177/070674378002500401 · DOI
- Linn BS, 1975, British Journal of Medical Education, 9, 98, 10.1111/j.1365-2923.1975.tb01902.x · DOI
- L’Hommedieu R, 1988, Higher Education Research and Development, 7, 119, 10.1080/0729436880070203 · DOI
- Magin DJ, Australian Journal of Educational Technology
- Mast TA, 1978, Journal of Dental Education, 42, 196, 10.1002/j.0022-0337.1978.42.4.tb01178.x · DOI
- McGeever PJ, 1978, Teaching Political Science, 5, 319, 10.1080/00922013.1978.11000133 · DOI
- Mihal WL, 1984, Journal of Vocational Behavior, 25, 245, 10.1016/0001-8791(84)90047-2 · DOI
- Morton JB, 1977, Medical Education, 11, 167, 10.1111/j.1365-2923.1977.tb00586.x · DOI
- Mueller RH, 1970, Journal of Higher Education, 41, 221, 10.1080/00221546.1970.11773911 · DOI
- Murstein BI, 1965, Journal of Experimental Education, 33, 357, 10.1080/00220973.1965.11010894 · DOI
- O’Neill GP, 1985, Alberta Journal of Educational Research, 31, 88
- Pease D, 1975, College Student Journal, 9, 91
- Pitishkin-Potanich V, 1983, Higher Education in Europe, 8, 18, 10.1080/0379772830080203 · DOI
- Plorde DS, 1985, Journal of Medical Education, 60, 728
- Rowntree D, 1977, Assessing students: How shall we know them?
- Sclabassi SE, 1984, Medical Education, 84, 226, 10.1111/j.1365-2923.1984.tb01015.x · DOI
- 10.3102/0013189X015009005 · DOI
- 10.3102/0013189X016004015 · DOI
- Stanton HE, 1978, Improving College and University Teaching, 26, 236, 10.1080/00193089.1978.9927589 · DOI
- Stanton HE, 1984, Improving College and University Teaching, 32, 138, 10.1080/00193089.1984.10533861 · DOI
- Stover RV, 1976, Teaching Political Science, 3, 303, 10.1080/00922013.1976.11000051 · DOI
- Stuart MR, 1980, Journal of Family Practice, 10, 639
- Wheeler AE, 1981, Journal of Educational Research, 75, 171
- Wilcox K, 1988, Student self-evaluation in a first year Australian politics course
Cited by
Sorted by citations
Davis, D. A., Mazmanian, P. E., Fordis, M., Van Harrison, R., Thorpe, K. E., & Perrier, L. (2006) · JAMA · doi:10.1001/jama.296.9.1094 · Cited by 2,375
Peer Assessment between Students in Colleges and Universities
Topping, K. (1998) · Review of Educational Research · doi:10.2307/1170598 · Cited by 2,173
Flawed Self-Assessment: Implications for Health, Education, and the Workplace
Dunning, D., Heath, C., & Suls, J. M. (2004) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2004.00018.x · Cited by 1,865
The use of scoring rubrics: Reliability, validity and educational consequences
Jonsson, A., & Svingby, G. (2007) · Educational Research Review · doi:10.1016/j.edurev.2007.05.002 · Cited by 1,509
Student Peer Assessment in Higher Education: A Meta-Analysis Comparing Peer and Teacher Marks
Falchikov, N., & Goldfinch, J. (2000) · Review of Educational Research · doi:10.3102/00346543070003287 · Cited by 1,170
Self-citation
Metadata
- Authors
- Falchikov, N., & Boud, D.
- Affiliations
- Napier Polytechnic of Edinburgh, United Kingdom
- University of New South Wales, Australia
- Venue
- Review of Educational Research
- Published
- 1989-12
- Volume
- 59
- Issue
- 4
- Pages
- 395-430
- ISSN
- 0034-6543
- 1935-1046
- Cited by
- 496
- References
- 2
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review