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. 2020 Nov 12;21(3):21.3.69. doi: 10.1128/jmbe.v21i3.2157

TABLE 1.

Demographics of students in the CURE.

Demographics % (n) of Students with Response

Students who analyzed scientists’ data (N=34) Students who analyzed their own data (N=31)
Gendera
 Woman 61.8 (21) 58.1 (18)
 Man 35.3 (12) 38.7 (12)
 Other 2.9 (1) 0.0 (0)
 Declined to state 0.0 (0) 3.2 (1)

Race/ethnicityb
 American Indian or Alaska Native 2.9 (1) 6.5 (2)
 Asian 35.3 (12) 35.5 (11)
 Black or African American 2.9 (1) 3.2 (1)
 Latinx 8.8 (3) 3.2 (1)
 Native Hawaiian 8.8 (3) 16.1 (5)
 Pacific Islander 0.0 (0) 3.2 (1)
 White 35.3 (12) 25.8 (8)
 Other 2.9 (1) 3.2 (1)
 Declined to state 2.9 (1) 3.2 (1)

Majorc
 Anthropology 2.9 (1) 0.0 (0)
 Biology 85.3 (29) 90.3 (28)
 Environmental studies 5.9 (2) 6.5 (2)
 Kinesiology 5.9 (2) 0.0 (0)
 Declined to state 0.0 (0) 3.2 (1)

Year in college
 Junior 29.4 (10) 32.3 (10)
 Senior 70.6 (24) 67.7 (21)

Prior research experience
 No 47.1 (16) 58.1 (18)
 Yes 52.9 (18) 41.9 (13)
a

In all analyses, we only included students who identified as men or women. While we recognize that gender is not binary, there were too few students who identified as a gender other than man or woman to analyze a third category.

b

In all analyses, we collapsed students who identify as Black or African American, Hispanic, Latino/a or of Spanish Origin, Pacific Islander, and American Indian or Alaska Native into one category, which we call BLPA students. These students share the experience of being underserved by institutions of higher education; we recognize that the experiences of these students are different, but the small sample sizes necessitated that we pool these identities as a single factor in our analyses.

c

In all analyses, we collapsed students into “biology” or “not biology” majors. We predicted that students’ self-efficacy or science identity in a biology course may be affected by whether they were biology majors or not, and it was necessary to pool non-biology majors because of small sample sizes.