1 / 33

School Performance Variation on COMLEX Level 1

School Performance Variation on COMLEX Level 1. Linjun Shen, Ph.D., MPH National Board of Osteopathic Medical Examiners. Purposes. Provide more information to school administrators and educators Help school administrators and educators to interpret and analyze COMLEX data

carlyn
Download Presentation

School Performance Variation on COMLEX Level 1

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. School Performance Variation on COMLEX Level 1 Linjun Shen, Ph.D., MPH National Board of Osteopathic Medical Examiners

  2. Purposes • Provide more information to school administrators and educators • Help school administrators and educators to interpret and analyze COMLEX data • Demonstrate analytical approaches individual schools can adopt in digesting their own COMLEX data

  3. Limitations • Analysis is limited to Level 1 June 2002 administration • Variables available for this analysis is limited, so as the results

  4. A model of the medical school-licensing examination relationship

  5. Scope of This Analysis • Interest of the analysis: school mean scores and school passing rates on Level 1. • Potentially influential factors: gender of students, sector of school, school mean MCAT. • Analytical approach: mainly descriptive and graphical with a brief statistical modeling.

  6. Summary of June 2002 Level 1

  7. June 2002 Level 1

  8. Level 1 School Mean

  9. Highest and Lowest on Level 1

  10. School Mean Score Distribution

  11. School Failing Rate Distribution

  12. Failing Rate by Ranking of Means

  13. Passing Rate by Ranking of Means

  14. School Mean Performance • Two ways to rank schools: by mean score and passing rate • Numerical ranking is not as important as qualitative grouping • Variation among school mean scores is substantial (53 point between the highest and lowest, 40 point between above and below average groups)

  15. Significant Gender Differences on June 2002 Level 1

  16. Gender Difference in Mean Scores by School

  17. Gender Difference in Failing Percentage by School

  18. Gender Difference in Osteopathic Medical Schools • There are substantial gender differences in terms of individual student Level 1 performance • For a few schools, the differences in both mean scores and passing rates are alarming • Gender differences can also be an opportunity for schools to improve if efforts are made to narrow the gap

  19. Sector Differences on June 2002 Level 1

  20. Gender and Sector Interactionon Mean Score

  21. Gender and Sector Interactionon Failing Rate

  22. Effects of Sector of Osteopathic Medical Schools • There is no evidence that sector significantly affects Level 1 performance • According to a study 10 years ago, sector was a powerful factor in determining osteopathic Board exam performance • It is a very positive improvement of osteopathic medical education • More formal study is needed

  23. School Mean MCAT Distribution

  24. School Mean MCAT of Class 2000

  25. Mean MCAT by Rank

  26. Mean MCAT and Mean Level 1(r = .30, not significant)

  27. Mean MCAT and Mean Passing Rate (r = .27)

  28. MCAT and Level 1 Performance • The implication of correlation of school means of MCAT and a single Level 1 administration is highly limited • Individual student MCAT and Level 1 score relationship can be very different from school mean MCAT and school mean Level 1

  29. Conventional Regression

  30. Results of Conventional Regression • The model is significant. Both gender and sector are significant predictor. • This regression model with two variables only explained 3% of the student. performance variation. Most of the variation remains unexplained. • More information is needed to explain student performance.

  31. Hierarchical Linear Regression

  32. Results of HLM Analysis • Difference of students Level 1 performance across school is significant • Gender is a predictor for Level 1 scores but the difference of gender is not significant across schools • Neither Sector and school mean MCAT predict student Level 1 performance • More data will help: student MCAT, race, curriculum type, etc.

  33. Thank You!

More Related