AgrestiA.. (1984) Analysis of Ordinal Categorical Data, New York: Wiley.
2.
AliH., CharbajiA., and HajjN. K.. (1992), ‘A discriminant function model for admission at undergraduate university level’,International Review of Education38(5), 505–18.
3.
American Association of Collegiate Registrars and Admission Officers (1988), Undergraduate Admissions, New York: AACRAO.
4.
Central Statistical Office (1991), Social Trends21, London: HMSO.
5.
Centre for Education Statistics (1987), Digest of Education Statistics 1987.Washington, D.C.: US Department of Education.
6.
CopasJ. B., and LoeberR.. (1990), ‘Relative improvement over chance (RIOC) for “2×” tables’,British Journal of Mathematical and Statistical Psychology43, 293–307.
7.
CreswellM. J.. (1992), ‘Using Public Examinations to select Applicants for Higher Education: some technical and educational implications’, paper presented to the eighteenth annual conference of the International Association for Educational Assessment, Dublin.
8.
Crowther report (1959), 15 to 18, report of the Central Advisory Council for Education (England), London: HMSO.
9.
DockrellW. B.. (1992), ‘Changing the Basis for Admission to Higher Education by using Records of Achievement’, paper presented to the eighteenth annual conference of the International Association for Educational Assessment, Dublin.
10.
ElliottR., and StrentaA. C.. (1988), ‘Effects of improving the reliability of the GPA on prediction generally and on comparative predictions for gender and race particularly’,Journal of Educational Measurement25, 333–47.
11.
ForrestG. M.. (1989), ‘The Relationship between GCE Advanced Level Grades and University Results in the UK: past and future’, paper presented at the fifteenth international conference of the International Association for Educational Assessment, Sydney.
12.
GrantC. A., and SleeterC. E.. (1986), ‘Race, class and gender in education research: an argument for integrative analysis’,Review of Educational Research56, 195–211.
13.
HackettG., BetzN. E., CasasJ. M., and Rocha-SinghI. H.. (1992), ‘Gender, ethnicity, and social cognitive factors predicting academic achievement of students in engineering’,Journal of Counselling Psychology39, 527–38.
14.
HarburyC. D., and SzreterR.. (1968), ‘The influence upon university performance of the study of economics at school’,Journal of the Royal Statistical Society, series A, 131, 384–409.
15.
HogrebeL. E., DwinellP. L., and NewmanI.. (1983), ‘The moderating effects of gender and race in predicting the academic performance of college developmental studies’,Educational and Psychological Measurement2963, 43, 523–30.
16.
LinnR. L.. (1978), ‘Single-group validity, differential validity and differential prediction’,Journal of Applied Psychology63, 507–12.
17.
LoeberR., and DishionT.. (1983), ‘Early predictors of male delinquency: a review’,Psychological Bulletin94, 68–99.
18.
McCornackR. L., and McLeodM. M.. (1988), ‘Gender bias in the prediction of college course performance’,Journal of Educational Measurement25, 321–31.
19.
MacfarlaneB.. (1992), ‘The “Thatcherite” generation and university degree results’,Journal of Further and Higher Education16(2), 60–70.
20.
Mar-MolineroC.. (1991), ‘Gender differences in undergraduate university admissions in the United Kingdom’,Educational Studies17(1), 49–63.
21.
NelsonK. B., and EllenbergJ. H.. (1986), ‘Antecedents of cerebral palsy: multivariate analysis of risk’,New England Journal of Medicine315(2), 81–6.
22.
PeersI. S., and JohnstonM.. (1994), ‘Influence of learning context on the relationship between A level attainment and final degree performance’,British Journal of Educational Psychology64, 1–18.
23.
PilkingtonG. W., and HarrisonG. J.. (1967), ‘The relative value of two high-level intelligence tests, advanced level and first-year university examination marks for predicting degree classification’,British Journal of Educational Psychology37(2), 382–9.
24.
PowellJ. L.. (1973), Selection for University in Scotland, London: University of London Press.
25.
PrestonB.. (1975), ‘Attendance beats track record in the degree stakes’,Times Higher Education Supplement, 3 January, p. 6.
26.
ReesD.. (1981), ‘A levels, age and degree performance’,Higher Education Review13(3), 45–57.
27.
ReynoldsH. T.. (1977), The Analysis of Cross-classifications, London: Collier-Macmillan.
28.
RuddE.. (1984), ‘A comparison between the results achieved by women and men studying for first degrees in British universities’,Studies in Higher Education9(1), 47–57.
29.
SAS (1990), SAS/STAT Users’ Guide, version 6.0, Cary, N.C.: SAS Institute Inc.
30.
SchulerH., FunkeE., and Baron-BoldtJ.. (1990), ‘Predictive validity of school grades: a meta-analysis’,Applied Psychology39(1), 89–103.
31.
SearK.. (1983), ‘The correlation between A level grades and degree results in England and Wales’,Higher Education12, 609–19.
32.
SmithersA. G., and RobinsonP. A.. (1991), Beyond Compulsory Schooling: a numerical picture, London: Council for Industry and Higher Education.
33.
Times Educational Supplement (1992a), ‘Patten rebuffs bids to axe A-levels’, September.
34.
Times Educational Supplement (1992b), ‘A-level triumph for girls’ schools’, November.
35.
Times Educational Supplement (1992c), ‘No advance on pure gold importance of A-level studies’, September.
36.
Times Higher Education Supplement (1992), ‘Doors open on post A-level student selection’, June.
37.
TymmsP. B., and Fitz-GibbonC. T.. (1991), ‘A comparison of examination boards: A levels’,Oxford Review of Education17(1), 17–31.
38.
Universities’ Central Council on Admissions (1989), Statistical Supplement to the Twenty-sixth Report, 1987-88, Cheltenham: UCCA.
39.
University Statistical Records/Committee of Vice-principals (1991), University Management Statistics and P.I.'s, personal communication, B. Taylor.
40.
WastellD. G.. (1987), ‘A simple randomisation procedure for validating discriminant analysis’,Biological Psychology24, 123–27.
41.
YoungJ. W.. (1991), ‘Gender bias in predicting college academic performance: a new approach using item response theory’,Journal of Educational Measurement28(1), 37–47.