Table 3

Kruskal–Wallis tests for change in knowledge, skills, and attitudes across participant attributes

Gender identityMean rank knowledge changeMean rank skills changeMean rank attitudes change
Female549.71552.83545.84
Male537.08535.25542.70
Other557.13519.81559.08
Kruskal–Wallis H0.471.0250.10
Race and ethnicity
White522.73541.97553.51
Non-White1569.02548.27535.83
Kruskal–Wallis H6.00*0.110.94
Geographical location
United States and US Territories536.94528.45545.50
Outside the United States2579.77616.39542.85
Kruskal–Wallis H3.1513.26***0.91
Highest degree completed
High School/GED588.23584.40568.58
Associate600.24613.52530.50
Bachelor's538.66570.26534.32
Master's425.72405.72522.75
Doctorate419.95376.31473.39
Prefer not to answer470.23379.15650.25
Kruskal–Wallis H46.32***70.59***11.24*
Student status
Yes566.93573.28549.39
No405.54365.20517.08
Kruskal–Wallis H34.33***57.06***1.47
Researcher/Practitioner category
Core390.80355.78494.73
Emerging558.75572.44550.50
Situational587.88600.49552.23
Periodic582.97494.77554.31
Kruskal–Wallis H32.84***53.90***3.63
Organizational affiliation
Academia551.21548.29544.38
Government424.60447.24551.41
Other3588.95588.92544.03
Kruskal–Wallis H19.46***13.87***0.05

Note(s): *p < 0.05; **p < 0.01; ***p < 0.001

1Due to small sample sizes for specific race and ethnicity categories, respondents who identified as Black, Asian, Hispanic, Arab, Indigenous, Native Hawaiian, two or more races, or preferred to self-describe were recoded into the “Non-White” category

2Due to small sample sizes, respondents who indicated their location outside of the United States and its territories were recoded into an “Outside the US” category

3Due to small sample sizes, respondents who indicated they had an affiliation other than government or academic were condensed into an “Other” category

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