Including the Assessment of Nontraditional Factors in Pharmacy School Admissions

Abstract

Spanish

French

OBJECTIVE:

To review the relevant literature regarding the predictive ability of cognitive measures (ie, Pharmacy College Admissions Test [PCAT] scores and prepharmacy grade point average [GPA]) on both academic and clinical performance and discuss the inclusion of nontraditional assessment during the admissions process.

DATA SOURCES:

Articles were identified through searches of International Pharmaceutical Abstracts (1970–April 2004), MEDLINE (1966–January 2004), and ERIC (1966–April 2004) using the key words admissions variables, predictors of success, Pharmacy College Admissions Test, grade point average, cognitive variables, and noncognitive variables.

STUDY SELECTION AND DATA EXTRACTION:

Cross-sectional, longitudinal, and retrospective studies, as well as reviews, regarding pharmacy school and other higher education admissions' variables were included in this review.

DATA SYNTHESIS:

Many pharmacy school admissions committees give a majority weight to the traditional cognitive markers of prepharmacy GPA and PCAT scores when selecting viable applicants. Doing so may be problematic due to the magnitude of the relationship between traditional cognitive predictors and pharmacy school performance.

CONCLUSIONS:

Based on this review, a cogent argument is advanced for the need to examine, in addition to PCAT scores and GPAs, such nontraditional factors as empathy, citizenship, and ethical behavior. This may increase the predictive ability of preadmission factors on pharmacy school didactic and clinical performance. Schools of pharmacy can do this through questionnaires and interviews designed to assess nontraditional variables.

Keywords

nontraditional variables Pharmacy College Admissions Test

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References

Chisholm

Cobb

Kotzan

. Significant factors for predicting academic success of first-year pharmacy students. Am J Pharm Educ 1995;59: 364–70.

Allen

Bond

. Prepharmacy indicators of success in pharmacy school: Grade point averages, pharmacy college admission test, communication abilities, and critical thinking skills. Pharmacotherapy 2001;21: 842–9.

Hardigan

Lai

Arneson

Robeson

Significance of didactic merit, test scores, interviews and the admissions process: A case study. Am J Pharm Educ 2001;65: 40–3.

Kidd

Latif

. An evaluation of traditional and novel predictors of didactic and professional practice success of pharmacy students. Am J Pharm Educ 2003;67, Article 109.

Thomas

Draugalis

. Utility of the pharmacy college admissions test (PCAT): Implications for admissions committees. Am J Pharm Educ 2002;66: 47–51.

Latif

. Using the structured interview for a more reliable assessment of pharmacy student applicants. Am J Pharm Educ 2004;68, Article 21.

McGaghie

. Perspectives on medical school admission. Acad Med 1990;65: 136–9.

Reede

. Predictors of success in medicine. Clin Orthop Rel Res 1999;362: 72–7.

Greengross

What patients want from their doctors. In: Allen

Brown

Hughes

, eds. Choosing tomorrow's doctors. London: Policy Studies Institute, 1997:12–9.

10.

Sheehan

Husted

Candee

Cook

Bargen

Moral judgment as a predictor of clinical performance. Eval Health Prof 1980;8: 379–400.

11.

Latif

Berger

Harris

Barker

Felkey

Pearson

. The relationship between community pharmacists' moral reasoning and components of clinical performance. J Soc Adm Pharm 1998;5: 210–24.

12.

Baldwin

Jr Adamson

Self

Sheehan

Oppenberg

. Moral reasoning and malpractice: A pilot study of orthopedic surgeons. Am J Orth 1996;25: 481–4.

13.

Admission requirements-Auburn University Harrison School of Pharmacy. www.aacp.org/Docs/MainNavigation/InstitutionalData/6184_SchoolNarratives.pdf (accessed 2004 Jul 7).

14.

PCAT technical manual supplement. San Antonio, TX: PsychCorp. Harcourt Assessment. March 2004:3–5.

15.

Wilson

New research casts doubt on value of student evaluations of professors. Chron High Educ 1998;44:A12–4.

16.

Price

Taylor

Nelson

Lewis

Loughmiller

Mathiesen

Measurement and predictors of physician performance: two decades of intermittently sustained research. Salt Lake City, UT: Aaron Press, 1971.

17.

Wingard

Williamson

. Grades as predictors of physicians' career performance: An evaluative literature review. JAMA 1973;48: 311–22.

18.

Krichbaum

Rowan

Duckett

Ryden

Savik

The clinical evaluation tool: A measure of the quality of clinical performance nursing of baccalaureate students. J Nurs Educ 1994;33: 395–404.

19.

Sisola

. Principled moral reasoning as a predictor of clinical performance in physical therapy [dissertation]. Minneapolis: University of Minnesota, 1995.

20.

Rezler

. The assessment of attitudes. Pub Health Papers 1973;52: 70–8.

21.

Cook

Margolis

. Rating pediatric house officer performance. Pediatr Res 1974;8:472.

22.

Wagoner

Gray

. Report on a survey of program directors regarding selection factors in graduate medical education. J Med Educ 1979;54: 445–62.

23.

Sternberg

. The theory of successful intelligence. Rev Gen Psychol 1999;3: 292–316.

24.

Goleman

Working with emotional intelligence. New York: Bantom Books, 1998.

25.

Sackett

Schmidt

Ellignson

Kabin

. High-stakes testing in employment, credentialing and higher education: Prospects in a post-affirmative-action world. Am Psychol 2001;56: 302–18.

26.

Willingham

. Success in college: the role of personal qualities and academic ability. New York: College Entrance Examination Board, 1985, 5–12.

27.

Sedlacek

. Beyond the big test: noncognitive assessment in higher education. Philadelphia: John Wiley & Sons, 2004.

28.

Sedlacek

. Why we should use noncognitive variables with graduate students. Counseling Center Research Report 5–1. College Park, MD: University of Maryland, 2001.

29.

Noonan

Sedlacek

Suthakaran

Predicting the success of community college students using noncognitive variables. Counseling Center Research Report 5–0. College Park, MD: University of Maryland, 2001.

30.

Rest

Narvaez

Moral development in the professions: psychology and applied ethics. Hillsdale, NJ: Lawrence Erlbaum Associates, 1994:3–225.

31.

Latif

. An assessment of the ethical reasoning of United States pharmacy students: A national study. Am J Pharm Educ 2004;68, Article 30.

32.

Wagner

Jester

Moseley

. Use of the emotional quotient inventory in medical education. Acad Med 2001;76: 506–7.

33.

Carrothers

Gregory

Gallagher

. Measuring emotional intelligence of medical school applicants. Acad Med 2000;75: 456–63.

34.

Elam

. Use of “emotional intelligence” as one measure of medical school applicants' noncognitive characteristics. Acad Med 2000;75: 445–6.

35.

Bar-On

BarOn Emotional Quotient Inventory. In: Facilitator's resource manual. Toronto: Multi-Health Systems, 1998:2.

36.

Puryear

Lewis

. Description of the interview process in selecting students for admission to U.S. medical schools. J Med Educ 1981;56: 881–5.

37.

Patrick

Altmaier

Kuperman

Ugolini

A structured interview for medical school admission. Phase 1: Initial procedures and results. Acad Med 2001;76: 66–71.

38.

Mayfield

. The selection interview-a re-evaluation of published research. Person Psychol 1964;17: 239–60.

39.

Campion

Pursell

Brown

. Structured interviewing: Raising psychometric properties of the employment interview. Person Psychol 1988;41: 25–42.

40.

Hunter

. The validity and utility of alternative predictors of job performance. Psychol Bull 1984;96: 72–98.

41.

Reilly

Chao

. Validity and fairness of some alternative employee selection procedures. Person Psychol 1982;35: 1–62.

42.

Edwards

Johnson

Molidor

. The interview in the admission process. Acad Med 1990;65: 167–77.

43.

Huffcutt

Arthur

Hunter and Hunter (1984) revisited: Interview validity for entry-level jobs. J Appl Psychol 1994;79: 184–90.