4.1 Article

Gender Performance Differences in Biochemistry

Journal

BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION
Volume 38, Issue 6, Pages 380-384

Publisher

WILEY
DOI: 10.1002/bmb.20448

Keywords

Female; linear regression; statistics

Funding

  1. National Science Foundation [0633222]
  2. Direct For Education and Human Resources
  3. Division Of Undergraduate Education [0633222] Funding Source: National Science Foundation

Ask authors/readers for more resources

This study examined the historical performance of students at Michigan State University in a two-part biochemistry series Biochem I (n 5,900) and Biochem II (n 5,214) for students enrolled from 1997 to 2009. Multiple linear regressions predicted 54.9-87.5% of the variance in student from Biochem I grade and 53.8-76.1% of the variance in student from Biochem II grade. Overall, the student's cumulative GPA has the primary influence on their biochemistry grade in Biochem I for all models whereas either cumulative GPA or Biochem I performance has the primary influence on Biochem II grade. These factors were far more influential than any other predictors as their beta values were larger (5-10 times larger depending on the model). However, the gender of the student was also statistically significant for Biochem I and more than half of our Biochem II models with female students always predicted lower than their equivalent male counterparts. Biochemistry majors were also found to perform better in Biochem I. Interestingly, grades earned in prerequisite courses such as introductory biology, chemistry, or organic chemistry and ethnicity provided no additional predictive ability about students' performance in biochemistry. Enrollment in an honors college or science residential college had little direct impact on performance in biochemistry.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available