A Perspective on Medical School Admission Research and Practice Over the Last 25 Years

Teaching and Learning in Medicine

Volumn 25, Issue SUPPL.1, 2013, Pages

  Kreiter, Clarence D ^a   Axelson, Rick D ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

admissions practice; admissions research

Indexed keywords

ACHIEVEMENT; APTITUDE; ARTICLE; COPING BEHAVIOR; DECISION MAKING; EDUCATION; HUMAN; INTERVIEW; MEDICAL EDUCATION; MEDICAL SCHOOL; MEDICAL STUDENT; MORALITY; ORGANIZATION AND MANAGEMENT; PERSONALITY; PROFESSIONAL COMPETENCE; PSYCHOLOGIC TEST; PSYCHOLOGICAL ASPECT; SOCIAL BEHAVIOR;

ACHIEVEMENT; APTITUDE; DECISION MAKING; EDUCATION, PREMEDICAL; EDUCATIONAL MEASUREMENT; HUMANS; INTERVIEWS AS TOPIC; MORALS; PERSONALITY; PROFESSIONAL COMPETENCE; PSYCHOLOGICAL TESTS; RESILIENCE, PSYCHOLOGICAL; SCHOOL ADMISSION CRITERIA; SCHOOLS, MEDICAL; SOCIAL BEHAVIOR; STUDENTS, MEDICAL;

EID: 84888043268     PISSN: 10401334     EISSN: None     Source Type: Journal    
DOI: 10.1080/10401334.2013.842910     Document Type: Article

References (61)

1. Monroe, A, Quinn, E, Samuelson, W, Dunleavy, D and Dowd, K W. 2013. An overview of the medical school admission process and use of applicant data in decision making: What has changed since the 1980s?. Academic Medicine, 88: 5
2. Johnson, E K and Edwards, J C. 1991. Current practices in admission interviews at U.S. medical schools. Academic Medicine, 66: 408 - 12.
3. Mitchell, KJ. 1987. Use of MCAT data in selecting students for admission to medical school. Journal of Medical Education, 62: 871 - 9.
4. Association of American Medical Colleges. 2008. Washington, DC Admission policies and practices. Presentation at the first meeting of the 5th Comprehensive Review of MCAT.
5. Koenig, T W, Parrish, S K, Terregino, C A, Williams, J P, Dunleavy, D and Volsch, JM. 2013. Core personal competencies important to entering students' success in medical school: What are they and how could they be assessed early in the admission process?. Academic Medicine, 88: 603 - 13.
6. Association of American Medical Colleges. 2011. Innovation lab to explore measures of personal characteristics and skills. Available at: https://www.aamc.org/initiatives/mr5/about_mr5/64636/innovation_lab.html. Accessed July 15, 2013
7. Albanese, M A, Snow, M H, Skochelak, S E, Huggett, K N and Farrell, PM. 2003. Assessing personal qualities in medical school admissions. Academic Medicine, 78: 313 - 21.
8. Association of American Medical Colleges. 2012. Core competencies for entering medical students. Available at: https://www.aamc.org/initiatives/admissionsinitiative/competencies./ Accessed July 15, 2013
9. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. 1999. Standard for educational and psychological testing., Washington, DC: American Educational Research Association.
10. Society for Industrial and Organization Psychology. Principles for the Validation and Use of Personnel Selection Procedures. Available at: http://www.siop.org/_Principles/principlesdefault.aspx
11. Sharf, JC. 1988. Litigating personnel measurement policy. Journal of Vocational Behavior, 33: 235 - 71.
12. McGaghie, WC. 2002. " Student selection ". In International handbook of research in medical education., Edited by: Norman, G., van der Vleuten, C. P.M. and Newble, D. I. 303 - 35. Dordrecht: Kluwer Academic.
13. Reiter, H and Eva, K W. 2011. " Selecting for medicine ". In Medical education-Theory and practice., Edited by: Dornan, T, Mann, K, Scherpbier, A and Spencer, J. 283 - 96. London: Elsevier.
14. Julian, ER. 2005. Validity of the Medical College Admission Test for predicting medical school performance. Academic Medicine, 80: 910 - 7.
15. Kreiter, C D and Kreiter, Y. 2007. A validity generalization perspective on the ability of undergraduate GPA and the Medical College Admission Test to predict important outcomes. Teaching and Learning in Medicine, 19: 95 - 100.
16. Kreiter, C D, Green, J, Lenoch, S and Saiki, T. The overall impact of testing on medical student learning: Quantitative estimation of consequential validity. Advances in Health Sciences Education,
17. Reiter, H I and Eva, KW. 2005. Reflecting the relative values of community, faculty, and students in the admissions tools of medical school. Teaching and Learning in Medicine, 17: 4 - 8.
18. Kreiter, C D, Yin, P, Solow, C and Brennan, RL. 2004. Investigating the reliability of the medical school admission interview. Advances in Health Sciences Education, 9: 147 - 59.
19. Axelson, R D and Kreiter, CD. 2009. Rater and occasion impacts on expected preadmission interview reliability. Medical Education, 43: 1198 - 202.
20. Harasym, P H, Woloschuk, W, Mandi, H and Brudin-Mather, R. 1996. Reliability and validity of interviewers' judgements of medical school candidates. Academic Medicine, 71: S40 - 2.
21. Salvatori, P. 2001. Reliability and validity of admission tools used to select students for the health professions. Advances in Health Sciences Education, 6: 159 - 75.
22. Kulatunga-Moruzi, C and Norman, GR. 2002. Validity of admission measures in predicting performance outcomes: The contribution of cognitive and non-cognitive dimensions. Teaching and Learning in Medicine, 14: 34 - 42.
23. Eva, K W, Rosenfeld, J, Reiter, H I and Norman, GR. 2004. An admission OSCE: The multiple mini-interview. Medical Education, 38: 314 - 26.
24. Eva, K W, Reiter, H I, Rosenfeld, J and Norman, GR. 2004. The ability of the multiple mini-interview to predict pre-clerkship performance in medical school. Academic Medicine, 79 (SUPPL.): 40 - 2.
25. Eva, K W, Reiter, H I, Trinh, K, Wasi, P, Rosenfeld, J and Norman, GR. 2009. Predictive validity of the multiple mini-interview for selecting medical trainees. Medical Education, 43: 767 - 75.
26. Ziv, A, Rubin, O, Moshinsky, A, Gafni, N, Kotler, M Dagan, Y. 2008. MOR: A simulation-based assessment centre for evaluating the personal and interpersonal qualities of medical school candidates. Medical Education, 42: 991 - 8.
27. Roberts, C, Zoanetti, N and Rothnie, I. 2009. Validating a multiple mini-interview question bank assessing entry-level reasoning skills in candidates for graduate-entry medicine and dentistry programmes. Medical Education, 43: 350 - 9.
28. LeMay, J F, Lockyer, J, Collin, V and Brownwell, K. 2007. Assessment of non-cognitive traits through the admissions multiple mini-interview. Medical Education, 41: 573 - 9.
29. Lievens, F and Sackett, P. 2006. Video-based versus written situational judgment tests: A comparison in terms of predictive validity. Journal of Applied Psychology, 91: 1181 - 8.
30. Association of American Medical Colleges. 2012. CMCAT 2015 - Preview Guide for the MCAT 2015 Exam for the competencies for entering medical students. Available at: https://www.aamc.org/students/download/266006/data/2015previewguide.pdf. Accessed July 15, 2013
31. Anderson, ND. 1990. The mismeasure of medical education. Academic Medicine, 65: 159 - 60.
32. Cohen, JJ. 2002. Our compact with tomorrow's doctors. Academic Medicine, 65: 159 - 60.
33. Bosco, W T, Gilbert, G E, Chessman, A W and Blue, AV. 2002. The ability of a medical school admission process to predict clinical performance and patient satisfaction. Academic Medicine, 75: 743 - 7.
34. Silver, B and Hodgson, CS. 1997. Evaluating GPAs and MCAT scores as predictors of NMBE I and clerkship performance based on students' data from one institution. Academic Medicine, 72: 394 - 6.
35. McGaghie, WC. 1990. Perspective on medical school admission. Academic Medicine, 65: 136 - 9.
36. Donnon, T, Paolucci, E and Violato, C. 2007. The predictive validity of the MCAT for medical school performance and medical board licensing examinations: A meta-analysis of the published research. Academic Medicine, 82: 100 - 6.
37. Murphy, KR. 2003. " The logic of validity generalization ". In Validity generalization., Edited by: Murphy, K. Mahwah, NJ: Erlbaum.
38. Frey, M C and Detterman, DK. 2003. Scholastic assessment or g? The relationship between the Scholastic Assessment Test and General Cognitive Ability. Psychological Science, 15: 373 - 8.
39. Carajal, H and Pauls, KK. 1995. Relationships among graduate record examinations scores, Wechsler Adult Intelligence Scale-Revised IQs and undergraduate grade point average. College Student Journal, 29: 414 - 6.
40. Schmidt, F L and Hunter, JE. 1998. The validity and utility of selection methods in personnel psychology: Practical and theoretical implication of 85 years of research and finding. Psychology Bulletin, 124: 262 - 74.
41. Sackett, P R, Borneman, M J and Connelly, BS. 2008. High-stakes testing in higher education and employment: Appraising the evidence for validity and fairness. American Psychologist, 63: 215 - 27.
42. Kreiter, CD. 2007. A commentary on the use of cut-scores to increase the emphasis of non-cognitive variables in medical school admissions. Advances in Health Sciences Education, 12: 315 - 19.
43. Kreiter, CD. 2002. The use of constrained optimization to facilitate admission decisions. Academic Medicine, 77: 148 - 51.
44. Kreiter, C D, Stansfield, B, James, P A and Solow, C. 2003. A model for diversity in admissions: A review of issues and methods and an experimental approach. Teaching and Learning in Medicine, 15: 116 - 22.
45. Jones, R F and Adams, LN. 1983. The relationship between MCAT science scores and undergraduate science GPA. Journal of Medical Education, 58: 908 - 11.
46. Didier, T, Kreiter, C D, Buri, R and Solow, C. 2006. Investigating the utility of a GPA institutional adjustment index. Advances in Health Sciences Education, 11: 145 - 53.
47. Geiger, T and Dunleavy, D. 2013. Letters of evaluation: Current practices in the admission process. Analysis in Brief, 13 (3): 1 - 2.
48. Siu, E and Reiter, H. 2009. Overview: What's worked and what hasn't as a guide towards predictive admissions tool development. Advances in Health Sciences Education, 14: 759 - 75.
49. Association of American Medical Colleges. 2011. Guideline for writing letter of evaluation for a medical school applicant. Available at: https://www.aamc.org/initiatives/admissionsinitiative/letters./ Accessed July 15, 2013
50. Tett, R P and Christiansen, ND. 2007. Personality tests at the crossroads: Response to Morgeson, Campion, Dipboye, Hollenbeck, Murphy, and Schmitt. Personnel Psychology, 60: 967 - 93.
51. Morgeson, F P, Campion, M A, Dipboye, R L, Hollenbeck, J R, Murphy, K and Schmitt, N. 2007. Personnel Psychology, 60: 683 - 729.
52. Bardes, C L, Best, P C, Kremer, J L and Dienstag, JL. 2009. Perspective: Medical school admissions and noncognitive testing: Some open questions. Academic Medicine, 84: 1360 - 3.
53. Dore, K L, Hanson, M, Reiter, H I, Blanchard, M, Deeth, K and Eva, KW. 2006. Medical school admissions: Enhancing the reliability of an autobiographical screening tool. Academic Medicine, 81 (SUPPL. 10.): S7 - 73.
54. Sternberg, RJ. 2008. Assessing students for medical school admissions: Is it time for a new approach?. Academic Medicine, 83 (SUPPL. 10.): S105 - 10.
55. Prideaux, D, Roberts, C, Eva, K, Centeno, A, McCrorie, P McManus, C. 2011. Assessment for selection for the health care professions and specialty training: Consensus statement and recommendations for Ottawa 2010 Conference. Medical Teacher, 33: 215 - 23.
56. Association of American Medical Colleges. 2010. Roadmap to diversity: Integrating holistic review practices into medical school admission processes. Available at: https://members.aamc.org/eweb/upload/Roadmap%20to%20Diversity%20Integrating%20Holistic%20Review.pdf. Accessed July 15, 2013
57. Kreiter, CD. 2013. A proposal for evaluating the validity of holistic-based admission processes. Teaching and Learning in Medicine, 25: 103 - 7.
58. Tekian, A. 1998. Minority students, affirmative action, and the the admissions process: A survey of 15 medical schools. Academic Medicine, 73: 986 - 92.
59. McGaghie, W C and Kreiter, CD. 2005. Holistic versus actuarial student selection. Teaching and Learning in Medicine, 17: 89 - 91.
60. Wainer, H. 1976. Estimating coefficients in linear models: It don't make no nevermind. Psychological Bulletin, 83: 213 - 27.
61. Bobko, P, Roth, P L and Buster, MA. 2007. The usefulness of unit weights in creating composite scores. A literature review, application to content validity, and meta-analysis. Organizational Research Methods, 10: 689 - 709.