Influence of year-on-year performance on final degree classification in a chiropractic master's degree program.

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  • Author(s): Dewhurst P; Rix J; Newell D
  • Source:
    The Journal of chiropractic education [J Chiropr Educ] 2016 Mar; Vol. 30 (1), pp. 14-9. Date of Electronic Publication: 2015 Jun 15.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Grace E. Jacobs Country of Publication: United States NLM ID: 8915779 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1042-5055 (Print) Linking ISSN: 10425055 NLM ISO Abbreviation: J Chiropr Educ Subsets: PubMed not MEDLINE
    • Publication Information:
      Original Publication: [St. Paul, MN : Grace E. Jacobs,
    • Abstract:
      Objective: We explored if any predictors of success could be identified from end-of-year grades in a chiropractic master's program and whether these grades could predict final-year grade performance and year-on-year performance.
      Methods: End-of-year average grades and module grades for a single cohort of students covering all academic results for years 1-4 of the 2013 graduating class were used for this analysis. Analysis consisted of within-year correlations of module grades with end-of-year average grades, linear regression models for continuous data, and logistic regression models for predicting final degree classifications.
      Results: In year 1, 140 students were enrolled; 85.7% of students completed the program 4 years later. End-of-year average grades for years 1-3 were correlated (Pearson r values ranging from .75 to .87), but the end-of-year grades for years 1-3 were poorly correlated with clinic internship performance. In linear regression, several modules were predictive of end-of-year average grades for each year. For year 1, logistic regression showed that the modules Physiology and Pharmacology and Investigative Imaging were predictive of year 1 performance (odds ratio [OR] = 1.15 and 0.9, respectively). In year 3, the modules Anatomy and Histopathology 3 and Problem Solving were predictors of the difference between a pass/merit or distinction final degree classification (OR = 1.06 and 1.12, respectively).
      Conclusion: Early academic performance is weakly correlated with final-year clinic internship performance. The modules of Anatomy and Histopathology year 3 and Problem Solving year 3 emerged more consistently than other modules as being associated with final-year classifications.
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    • Contributed Indexing:
      Keywords: Chiropractic; Education; Educational Status; Forecasting
    • Publication Date:
      Date Created: 20150616 Date Completed: 20160226 Latest Revision: 20200930
    • Publication Date:
      20231215
    • Accession Number:
      PMC4770990
    • Accession Number:
      10.7899/JCE-14-26
    • Accession Number:
      26076397