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Taylor Owings Marcy Towns Purdue University

Statistical analysis of a one-semester general chemistry approach for students entering the pharmacy field. Taylor Owings Marcy Towns Purdue University. Goal.

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Taylor Owings Marcy Towns Purdue University

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  1. Statistical analysis of a one-semester general chemistry approach for students entering the pharmacy field Taylor Owings Marcy Towns Purdue University

  2. Goal • The goal of this research was to evaluate the newly introduced CHM 109 on its effectiveness for preparing students for organic chemistry

  3. Introduction • Change in the MCAT encourages more biochemistry for premedical and pre-pharmacy students • AAMC mandated • Recommendation for a 1-2-1 format, with inclusion of Biochemistry in place of a second semester of general chemistry • CHM 109 implemented at Purdue to accommodate the one semester general chemistry requirement • 5 credit hours, 3 lectures a week

  4. Background on the CHM 109 course • 5 credit hour course • Created to replace the 2 semester equivalent (CHM 115 and CHM 116) • Designed to be part of new 1-2-1 chemistry series for students • 1 general chemistry course CHM 109 • 2 organic courses (MCMP (Medicinal Chemistry & Molecular Pharmacology) 204-205) • 1 biochemistry course

  5. Participants • Students enrolled in MCMP 204/205 from fall 2002 - fall 2011 • Classified by year enrolled in MCMP 204 • Information collected on all chemistry classes students had enrolled in

  6. Data collection • Data collected included • Demographic information • SAT/ACT scores • Grades in all Purdue chemistry courses

  7. Research question • How do students enrolled in MCMP 204/205 perform in organic chemistry based on prior enrollment in CHM 109 and CHM 115-116?

  8. Statistical analysis • Analysis to determine if comparisons can be made between student groups • Analysis to determine if students course outcomes in MCMP 204/205 varied based on prior enrollment in CHM 115-116 or CHM 109

  9. Explaining differences Significant difference Practical difference • Difference is determined by significance test • ANOVA, t-test, etc… • Answers the question “are they different” • Degrees of freedom included in equation • Different tests that accompany significance tests • Cohen’s d, eta squared, etc… • Looks at how different values are • Small, medium, or large • Answers the question “Does the difference matter” • Degrees of freedom not included in equation

  10. Formulas

  11. SAT test scores

  12. Preliminary standardized test scores Effect Size: Small ~ .01, Medium ~ .06, Large ~ .14 All listed standardized test scores were significantly different (p <.001)

  13. Demographics analysis of chemistry GPA Effect size: Small ~ .01, Medium ~ .06, Large ~ .14 Significant difference: p < .05

  14. Average course grades CHM 109 data is from 2010-2011 CHM 115/116 data is from 2002-2011 Effect size: Small ~ .01, Medium ~ .06, Large ~ .14 All courses had a significant difference (p <.001)

  15. Student performance in MCMP 204

  16. Student performance in MCMP 204 Effect size: Small = .1, Medium = .25, Large = .4 Significant difference: p < .05

  17. Student performance in MCMP 205

  18. Student performance in MCMP 205 Effect size: Small = .1, Medium = .25, Large = .4 Significant difference: p < .05

  19. Conclusion • Analysis demonstrates no significant or practical differences exist in performance in MCMP 204/205 based upon general chemistry preparation in CHM 109 and CHM 115/116. • Thus, the new course sequence (one semester general chemistry) supports student success in Purdue’s pre-pharmacy curriculum.

  20. Implications • Demonstrates efficacy of one semester gen chemistry course in pre-medical and pre-pharmacy curriculum • Research finding provide research based support for curriculum augmentation

  21. Acknowledgements • HHMI Nexus team at Purdue • Dr. Marc Loudon • Dr. Chris Hrycyna • Research and assessment grant 2011 • Towns research group • Dr. Marcy Towns

  22. Participant demographics

  23. Formulas

  24. CHM 109

  25. CHM 109 Other demographics were unavailable for a significant portion of population

  26. CHM 109

  27. CHM 115

  28. CHM 115

  29. CHM 115

  30. CHM 116

  31. CHM 116

  32. CHM 116

  33. MCMP 204

  34. MCMP 204

  35. MCMP 204

  36. MCMP 205

  37. MCMP 205

  38. MCMP 205

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