Skip to main content
. 2023 Jun 26;100(7):2495–2503. doi: 10.1021/acs.jchemed.2c00635

Table 1. Comparison of Students’ LA Scores Early (ES) and Late (LS) in the Semester Based on Course and Demographic Factors (Race, Gender, Age Group).

Time Point Course/Demographic N Median IQR 2-Sample Wilcoxon Statistic p-value Wilcoxon Effect Size
ES GOBa 39 3.00 2.00 481 0.202 0.154 (small)
GC1a 30 4.00 2.00
LS GOBa 39 3.00 2.00 456 0.113 0.192 (small)
GC1a 30 3.00 1.75
ES HUGs 20 3.00 2.00 368 0.158 0.173 (small)
Non-HUGs 47 3.00 3.00
LS HUGs 20 2.00 2.00 236 0.00114 0.398 (moderate)
Non-HUGs 47 4.00 3.00
ES Femaleb 43 3.00 2.00 457 0.436 0.0960 (small)
Maleb 24 3.00 2.25
LS Femaleb 43 3.00 2.00 406 0.142 0.180 (small)
Maleb 24 3.50 1.00
ES Nontraditional 24 3.00 3.00 592 0.509 0.0804 (small)
Traditional 45 3.00 2.00
LS Nontraditional 24 3.00 3.25 502 0.635 0.0318 (small)
Traditional 45 3.00 2.00

An inequity in LA Score between HUGs developed late in the semester (LS), although it did not exist earlier(ES). Equity in LA Score early and late in the semester was also examined across gender and age, but no significant differences were detected.

b

To remain consistent with the questionnaire that asked students to identify their gender as male/female/nonbinary, the authors use these terms in this paper but recognize that gender/sex are different constructs.

a

Because the LA Score did not differ between the two courses at either time point, both courses were aggregated for subsequent analysis.