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Research-Doctorate Programs in the Biomedical Sciences Selected Findings from the NRC Assessment (2011) / Chapter Skim
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3 PAIRWISE CORRELATIONS
Pages 17-22

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From page 17...
... Table 3-1 provides the correlations of student median time to degree and average cohort completion rate with three measures of faculty research productivity: average publications per faculty member, average citations per faculty member, and the percent of faculty with grants (see Appendix C for definitions)
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From page 18...
... Table 3-1 Correlations of Median Time to Degree and Average Cohort Completion with Publications, Citations, and Grants Correlation with Median Time to Correlation with Average Degree Cohort Completion Percent Percent Faculty Average Faculty Average Pubs Average with Pubs Average with Fields per Faculty Cits/Pubs Grants per Fac Cits/Pubs Grants Biochemistry, Biophysics, and Structural Biology 0.052 0.166 0.077 0.123 0.089 0.094 Biomedical Engineering and Bioengineering 0.185 0.369 0.018 -0.184 0.015 0.148 Cell and Developmental Biology 0.014 0.128 0.081 0.087 0.057 -0.041 Genetics and Genomics 0.181 0.364 0.23 0.229 -0.02 0.149 Immunology and Infectious Disease 0.179 0.327 0.189 -0.067 -0.05 -0.02 Integrated Biological and Biomedical Sciences -0.12 0.058 0.04 0.056 0.021 0.014 Microbiology 0.232 0.289 0.302 -0.072 -0.087 -0.201 Neuroscience and Neurobiology 0.059 0.21 0.169 0.036 0.046 -0.03 Nutrition 0.475 0.216 0.202 -0.037 0.085 -0.095 Pharmacology, Toxicology, and Environmental Health -0.01 0.29 0.058 0.136 -0.095 0.117
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From page 19...
... In biomedical engineering and bioengineering there is a strong correlation between median time to degree and average number of Ph.D.'s, and in microbiology a strong correlation between median time to degree and average GRE scores. TABLE 3-2 Correlations of Median Time to Degree and Average Cohort Completion with GRE Scores and Number of PhDs Correlation with Correlation with Median Average Cohort Time to Degree Completion Average Ph.D.'s Average GRE 2002 to GRE Ph.D.'s 2002 Fields Average 2006 Average to 2006 Biochemistry, Biophysics, and Structural Biology 0.114 0.140 0.094 0.046 Biomedical Engineering and Bioengineering 0.251 0.491 0.080 -0.011 Cell and Developmental Biology 0.093 0.074 -0.022 -0.022 Genetics and Genomics 0.179 0.074 -0.108 0.235 Immunology and Infectious Disease 0.033 0.050 -0.216 0.051 Integrated Biological and Biomedical Sciences 0.111 0.145 -0.181 -0.033 Microbiology 0.319 0.270 -0.075 -0.089 Neuroscience and Neurobiology 0.156 0.150 0.007 0.076 Nutrition 0.487 0.309 -0.055 -0.106 Pharmacology, Toxicology, and Environmental Health 0.179 0.038 -0.058 0.103 Physiology 0.223 0.192 0.261 0.295 The correlations in Table 3-3 demonstrate a strong relationship between underrepresented minority faculty and underrepresented minority students in six of the eleven fields: Biochemistry, Biophysics, and Structural Biology; Immunology and Infectious Disease; Microbiology; Nutrition; Pharmacology, Toxicology, and Environmental Health; and Physiology.
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From page 20...
... population.2 Thus, although programs with a higher percentage of minority faculty do indeed seem to attract minority students at a higher rate, the same is not true for women. TABLE 3-3 Correlations of Percent Female Students with Percent Female Faculty and Percent of Non-Asian Minority Students with Percent Minority Faculty Correlation with Correlation with Percent Female Percent Non-Asian Students Minority Students Percent Female Percent Minority Fields Faculty Faculty Biochemistry, Biophysics, and Structural Biology 0.170 0.489 Biomedical Engineering and Bioengineering 0.118 0.076 Cell and Developmental Biology 0.004 0.247 Genetics and Genomics 0.109 0.290 Immunology and Infectious Disease 0.014 0.150 Integrated Biological and Biomedical Sciences 0.227 0.529 Microbiology 0.233 0.765 Neuroscience and Neurobiology 0.204 -0.002 Nutrition 0.288 0.531 Pharmacology, Toxicology, and Environmental Health 0.187 0.370 Physiology 0.086 0.570 The correlations in Appendix D permit examination of many other relationships among the characteristics of doctoral programs, faculty, and students.
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From page 21...
... PAIRWISE CORRELATIONS 21 it would make sense that, in fields where laboratories are critical to research productivity, programs with larger laboratories would be more productive -- even when measured on a per capita basis. This is seen in the relationship between the three measures of research productivity and number of Ph.D.'s, where several fields with higher values for these productivity variables also tend to have a larger number of Ph.D.'s (see Appendix E)
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Key Terms

  • cohort completion
  • average cohort
  • biomedical sciences
  • average percentage
  • percent female

  • female faculty
  • female students
  • research productivity
  • average gre
  • biomedical engineering

  • minority students
  • minority faculty
  • gre scores
  • strong correlation
  • integrated biological

  • completion rate
  • percent minority
  • faculty research
  • pairwise correlations
  • underrepresented minority

  • average citations
  • average publications
  • grant awards
  • strongly correlated
  • university administrators

  • little relation
  • student median
  • strong relationship
  • program size
  • various characteristics


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