Taylor Owings Marcy Towns Purdue University
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Transcript of Taylor Owings Marcy Towns Purdue University
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Statistical analysis of a one-semester general chemistry approach for students entering the pharmacy field
Taylor OwingsMarcy TownsPurdue University
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Goal•The goal of this research was to evaluate
the newly introduced CHM 109 on its effectiveness for preparing students for organic chemistry
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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
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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
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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
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Data collection•Data collected included
▫Demographic information▫SAT/ACT scores▫Grades in all Purdue chemistry courses
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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?
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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
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Explaining differencesSignificant 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
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Formulas
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SAT test scores
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012400
450
500
550
600
650
700
SAT Scores by year
VerbalMath
Year in MCMP 204
SAT
Scor
e
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Preliminary standardized test scoresMean F-statistic Effect size
(η2)SAT Verbal 576 6.79 .0338SAT Math 623 10.8 .0524ACT English 26.4 9.16 .0809ACT Math 27.9 5.20 .0476ACT English/Writing 26.0 7.41 .00010
Effect Size: Small ~ .01, Medium ~ .06, Large ~ .14All listed standardized test scores were significantly different (p <.001)
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Demographics analysis of chemistry GPA
F-Statistic p-value Effect Size (η2)
Gender .852 .427 .00062Ethnicity 5.46 <.001 .0125Effect size: Small ~ .01, Medium ~ .06, Large ~ .14Significant difference: p < .05
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Average course gradesCourse Mean Standard
deviationF-statistic Effect size (η2)
CHM 109 3.10 .806 16.6 .0342CHM 115 3.26 .699 12.8 .0556CHM 116 3.32 .757 19.7 .0768
CHM 109 data is from 2010-2011CHM 115/116 data is from 2002-2011Effect size: Small ~ .01, Medium ~ .06, Large ~ .14All courses had a significant difference (p <.001)
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Student performance in MCMP 204
Mean Standard deviation115 Students 2.78 1.11116 Students 2.84 1.08109 Students 2.76 1.03
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Student performance in MCMP 204
Effect size: Small = .1, Medium = .25, Large = .4Significant difference: p < .05
t-statistic p-value Effect size (Cohen’s d)
CHM 115 vs. CHM 109
.289 .772 .00001
CHM 116 vs. CHM 109
1.08 .278 .0745
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Student performance in MCMP 205
Mean Standard deviation115 Students 2.83 1.02116 Students 2.87 .999109 Students 2.87 .978
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Student performance in MCMP 205
Effect size: Small = .1, Medium = .25, Large = .4Significant difference: p < .05
t-statistic p-value Effect size (Cohen’s d)
CHM 115 vs. CHM 109
-.372 .711 .0394
CHM 116 vs. CHM 109
.007 .994 .0018
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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.
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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
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Acknowledgements•HHMI Nexus team at Purdue
▫Dr. Marc Loudon▫Dr. Chris Hrycyna
•Research and assessment grant 2011•Towns research group
▫Dr. Marcy Towns
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Participant demographicsN
Male 1059Female 1707White Non-Hispanic 1680Hispanic/ Latino 43African American 87Asian American/ Pacific Islander
289
Native American 5Other 65
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Formulas
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CHM 109Mean Standard Deviation N
2010-2011 3.27 .7387 204
2011-2012 2.97 .8315 266
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CHM 109Mean Standard
DeviationN
Male 3.05 .7986 168Female 3.12 .8096 302
Other demographics were unavailable for a significant portion of population
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CHM 109F-Statistic P-value Effect Size
(η2)Gender .922 .337 .00197Ethnicity N/A N/A N/A
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CHM 115Mean Standard Deviation N
2002-2003 2.99 .718 220
2003-2004 3.13 .716 234
2004-2005 3.17 .632 205
2005-2006 3.15 .696 185
2006-2007 3.28 .729 233
2007-2008 3.51 .623 264
2008-2009 3.36 .650 221
2009-2010 3.38 .665 188
2010-2011 3.80 .422 10
2011-2012 2.33 1.155 3
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CHM 115Mean Standard
DeviationN
Male 3.29 .668 665Female 3.24 .717 1095White Non-Hispanic
3.28 .686 1323
Hispanic/ Latino
3.30 .877 30
African American
2.89 .657 73
Asian American/ Pacific Islander
3.16 .735 208
Other 3.50 6.79 40
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CHM 115F-Statistic P-value Effect Size
(η2)Gender 1.231 .267 .00080Ethnicity 4.973 .000 .01681
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CHM 116Mean Standard Deviation N
2002-2003 3.04 .788 186
2003-2004 3.33 .746 216
2004-2005 3.08 .806 190
2005-2006 3.15 .762 183
2006-2007 3.25 .763 235
2007-2008 3.44 .739 256
2008-2009 3.56 .604 207
2009-2010 3.68 .556 195
2010-2011 3.4 .894 5
2011-2012 1.5 2.121 2
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CHM 116Mean Standard
DeviationN
Male 3.35 .735 646Female 3.31 .770 1027White Non-Hispanic
3.34 .744 1257
Hispanic/ Latino
3.17 .966 29
African American
2.92 .802 61
Asian American/ Pacific Islander
3.28 .774 204
Other 3.53 .726 45
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CHM 116F-Statistic P-value Effect Size
(η2)Gender 1.036 .309 .00065Ethnicity 5.734 .000 .01421
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MCMP 204Mean Standard Deviation N
2002-2003 2.33 1.320 222
2003-2004 2.73 1.048 230
2004-2005 2.85 1.152 259
2005-2006 2.75 1.175 238
2006-2007 2.76 1.183 208
2007-2008 3.03 1.013 266
2008-2009 2.69 1.263 270
2009-2010 2.99 .983 238
2010-2011 2.75 1.011 417
2011-2012 2.00 0 2
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MCMP 204Mean Standard
DeviationN
Male 2.80 1.16 896Female 2.75 1.12 1449White Non-Hispanic
2.80 1.13 1596
Hispanic/ Latino
2.71 1.20 37
African American
2.43 1.09 81
Asian American/ Pacific Islander
2.63 1.21 280
Other 3.05 1.18 61
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MCMP 204F-Statistic P-value Effect Size
(η2)Gender 1.749 .186 .00085Ethnicity 4.141 .002 .0080
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MCMP 205Mean Standard Deviation N
2002-2003 2.65 .894 169
2003-2004 2.79 .983 184
2004-2005 2.76 .978 195
2005-2006 2.75 1.031 175
2006-2007 2.91 .9713 148
2007-2008 3.03 1.043 216
2008-2009 3.07 .897 185
2009-2010 2.69 1.134 188
2010-2011 2.91 1.117 169
2011-2012 2.86 .989 174
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MCMP 205Mean Standard
DeviationN
Male 2.87 1.012 700Female 2.82 1.018 1098White Non-Hispanic
2.87 .998 1213
Hispanic/ Latino
2.71 .937 28
African American
2.33 1.203 60
Asian American/ Pacific Islander
2.77 1.048 212
Other 3.14 .833 50
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MCMP 205F-Statistic P-value Effect Size
(η2)Gender .796 .372 .00059Ethnicity 5.478 .000 .01387