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Successful Admission Criteria to Predict Academic and Clinical Success in Entry-Level Radiography Programs.

Purpose To examine successful admission criteria in health education programs. Methods Health sciences databases were searched for admission criteria in medical and allied health education. Special emphasis was placed on radiologic technology investigations. Discussion Many medical and health scienc...

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Published in:Radiologic Technology Vol. 87; no. 5; pp. 502 - 511
Main Author: Ingrassia, Jennett M.
Format: research systematic review Journal Article
Published: American Society of Radiologic Technologists May/Jun2016
Online Access:View this record in EBSCOhost
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      dt: May/Jun2016
      vid: 87
      iid: 5
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      pub: American Society of Radiologic Technologists
      place: Alburquerque, New Mexico
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        atl: Successful Admission Criteria to Predict Academic and Clinical Success in Entry-Level Radiography Programs.
      aug:
        au: Ingrassia, Jennett M.
        affil: Assistant professor, radiologic technology and medical imaging department, New York City College of Technology, City University of New York, Brooklyn, New York
      sug:
        subj:
          Education, Radiologic Technology
          Students, Radiologic Technology
          School Admissions Standards
          Student Recruitment
          School Admissions
          Success
          Systematic Review
          Human
          CINAHL Database
          Databases, Health
          Education, Nurse Anesthesia
          Education, Physician Assistants
          Education, Medical
          Curriculum
          Student Retention
          Achievement Tests
          Interviews
          Schools, Allied Health
      ab: Purpose To examine successful admission criteria in health education programs. Methods Health sciences databases were searched for admission criteria in medical and allied health education. Special emphasis was placed on radiologic technology investigations. Discussion Many medical and health sciences programs use cognitive and noncognitive factors to predict student success. However, research has not identified common admission criteria that can be used to predict academic and clinical success of candidates in radiologic technology education programs. Conclusion Further research is needed to investigate the use of cognitive and noncognitive factors as admission criteria for radiologic technology programs and to determine whether these factors can be used to predict student success.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        Journal Article
      ougenre: Article
    language: English
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