EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 39 / No 4 (December 2007) J Extra Corpor Technol, 39 4 (2007) 243-248 References
Free Access
Issue
J Extra Corpor Technol
Volume 39, Number 4, December 2007
Page(s) 243 - 248
DOI https://doi.org/10.1051/ject/200739243
Published online 15 December 2007
  1. Stammers A. Perfusion education in the United States at the turn of the century. J Extra Corpor Technol. 1999;31:112–7. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  2. Plunkett PF. Perfusion education in the USA. Perfusion. 1997;12:233–41. [CrossRef] [PubMed] [Google Scholar]
  3. Bishop DG. From the President. The American Board of Cardiovascular Perfusion Annual Report. Hattiesburg, MS: ABCP; 2003. [Google Scholar]
  4. DeAngelis S. Noncognitive predictors of academic performance. J Allied Health. 2003;32:52–7. [Google Scholar]
  5. Agho AW, Mosley BW, Williams AM. A national survey of current admission practices in selected allied health educational programs. J Allied Health. 1999;28:8–14. [PubMed] [Google Scholar]
  6. Dietrich MC, Crowley JA. A national study of student selection practices in the allied health professions. J Allied Health. 1982;11:249–59. [Google Scholar]
  7. Gartland GJ. Synopsis of a study of admissions criteria for physical therapy programs. Physiother Can. 1977;29:6–10. [Google Scholar]
  8. Gough HG, Hall WB, Harris RE. Admissions procedures as forecasters of performance in medical training. J Med Educ. 1963;38:938–98. [Google Scholar]
  9. Nayer M. Admission criteria for entrance to physiotherapy schools: How to choose among many applicants. Physiother Can. 1992;44:41–4. [Google Scholar]
  10. Payton OD. A meta-analysis of the literature on admissions criteria as predictors of academic performance in physical therapy education in the United States and Canada. J Prof Nurs. 1997;39:97–102. [Google Scholar]
  11. Wingard JR, Williamson JW. Grades as predictors of physician’s career performance. J Med Educ. 1973;48:311–6. [Google Scholar]
  12. Balogun JA. Predictors of academic and clinical performance in baccalaureate physical therapy programs. Phys Ther. 1988;68:238–42. [CrossRef] [PubMed] [Google Scholar]
  13. Balogun JA. Predictive validity of the allied health professions admission test. Physiother Can. 1987;39:39–42. [Google Scholar]
  14. Byl NX. Prescreening admissions criteria and academic success in baccalaureate-certificate program in physical therapy. J Phys Ther Educ. 1988;2:13–7. [CrossRef] [Google Scholar]
  15. Gross MT. Relative value of multiple physical therapy admission criteria in predicting didactic, clinical, and licensure performance. J Phys Ther Educ. 1989;3:7–14. [CrossRef] [Google Scholar]
  16. Kirchner GL, Holm MB. Prediction of academic and clinical performance of occupational therapy students in an entry-level master’s program. Am J Occup Ther. 1997;51:775–9. [CrossRef] [PubMed] [Google Scholar]
  17. Pinkston D, Margolis B. Student selection for physical therapy education. Phys Ther. 1970;50:1710–4. [CrossRef] [PubMed] [Google Scholar]
  18. Wechsler D. The Measurement and Appraisal of Adult Intelligence. Baltimore: Williams Wilkins; 1958. [Google Scholar]
  19. Cooper C. Intelligence and Ability. New York: Routledge; 1999. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.