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Optimizing support: Network churn and the evolution of undergraduate women’s mentorship in STEM Cover

Optimizing support: Network churn and the evolution of undergraduate women’s mentorship in STEM

Open Access
|Sep 2026

Figures & Tables

Table 1

Summary of theoretically informed research questions.

DNT conceptResearch question
Mentor network structures including churn can evolve over timeTo what degree do students’ mentor networks churn/change over 6 months (fall to spring semesters)?
Mentee factors, such as developmental stage and the perceived need for mentoring, may influence network formation and maintenanceTo what degree is churn related to students’ college rank (i.e., a proxy for developmental stage), the size of their pre-existing mentor network, their interest in the earth and environmental sciences, or their intentions to persist in a STEM career (i.e., proxies for perceived need for mentoring)?
Environments that encourage or afford more mentorship opportunities should influence networksTo what degree is churn related to institutional or major-based differences (i.e., proxies for environmental influences)?
Person–environment fit processes, such as person–environment fit, influence networksTo what extent is churn related to students’ sense of belonging at their university, their perceptions of the opportunities a career in STEM offers for achieving goals such as serving or helping others (i.e., communal goals) or gaining recognition and success (i.e., agentic goals), and the degree of a mismatch or misalignment between their personally valued goals (communal/agentic) and perceived goal affordances from STEM careers (proxies for person–environment fit)?

Source: Authors’ contribution.

Table 2

Summary of sample characteristics (N = 184).

Characteristics n %
Racial/ethnic descent
African137.07
Asian126.52
European10456.52
Hispanic105.43
Native American/Pacific Islander21.09
Multiracial/ethnic2815.22
Prefer to not say158.15
Parental highest level of education
High school graduate168.70
Some college2010.87
Associates (2-year) degree137.07
Baccalaureate (4-year) degree4323.37
Master’s degree6836.96
Doctoral degree2413.04
Current college rank
Junior year5429.35
Senior year10054.35
Fifth year or beyond126.52
Advanced degree189.78
Current major
Agriculture/natural resources115.98
Biological sciences7138.59
Physical sciences2815.22
Technology/computer sciences84.35
Engineering3016.30
Mathematics/statistics31.63
Environmental sciences168.70
S&E related73.80
Non-STEM105.43
Current university
Colorado College115.98
Colorado State University4021.74
Metropolitan State University of Denver94.89
North Carolina A&T University94.89
North Carolina State University2413.04
University of Colorado – Boulder2312.50
University of North Carolina – Charlotte2111.41
University of South Carolina179.24
University of Wyoming115.98
Other1910.33

Notes: The current average GPA was 3.36 (SD = 0.50). The sample average family socio-economic status at the time of enrollment in the study was 4.40 (SD = 1.43) on a scale from 1 ($12,000 or below) to 6 ($100,000+).

Source: Authors’ contribution.

Table 3

Summary of descriptive statistics for the mentor network churn and predictors of churn (N = 184).

VariablesMSDMinimumMaximumSkewKurtosis
Mentor network size
Churn0.690.3201−0.672.42
Interest in earth/environmental sciences4.362.1317−0.171.69
Scientific persistence intentions5.451.4817−1.194.08
Agentic goal affordances in STEM6.031.111.57−1.495.47
Agentic goal endorsement5.831.1517−1.204.68
Agentic goal mismatcha 0.760.8804.51.806.70
Communal goal affordances in STEM (CGA)5.881.1927−1.003.29
Centered CGA2 1.422.150.1615.023.6520.21
Communal goal endorsement6.340.9737−1.574.99
Communal goal mismatcha 0.750.98051.836.78
University belonging5.251.1417−0.913.97
Baseline mentor network size (MNS)2.041.49050.392.33
Centered MNS2 2.222.560.008.741.343.96
Follow-up mentor network size2.151.44050.162.23

Note: aMeasured as the absolute values of the difference score between endorsements and affordances, so higher scores indicate greater misfit.

Source: Authors’ contribution.

Table 4

Summary of pairwise correlations between mentor network churn and predictors of churn (N = 184).

Variables1.2.3.4.5.6.7.8.9.10.11.
1. Churn
2. Interest in earth/environmental sciences−0.14
3. Scientific persistence intentions−0.19*0.30*
4. Agentic goal affordances in STEM−0.120.23*0.44*
5. Agentic goal mismatcha 0.03−0.06−0.30*−0.41*
6. Communal goal affordances in STEM (CGA)0.010.15*0.33*0.54*−0.26*
7. CGA2 0.13−0.18*−0.26*−0.42*0.12−0.66*
8. Communal goal mismatcha −0.002−0.22*−0.38*−0.44*0.31*−0.72*0.61*
9. University belonging−0.110.19*−0.20*0.15*−0.16*0.16*−0.13−0.17*
10. Baseline mentor network size (MNS)−0.31*0.17*0.22*0.17*−0.19*0.14−0.11−0.140.13
11. MNS2 0.21*0.14−0.020.05−0.100.11−0.05−0.07−0.030.34*

Note: aMeasured as the absolute values of the difference score, so higher scores indicate greater misfit, *p < 0.05.

Source: Authors’ contribution.

Table 5

Summary of regression coefficients predicting mentor network churn (N = 184).

Predictors β b SERobust 95% CI [LL, UL]
Interest in earth/environmental sciences−0.10−0.010.01[−0.04, 0.01]
Scientific persistence intentions−0.08−0.020.02[−0.06, 0.02]
Agentic goal affordances in STEM−0.03−0.010.03[−0.06, 0.05]
Agentic goal mismatch−0.05−0.020.03[−0.08, 0.04]
Communal goal affordances in STEM (CGA)0.070.020.03[−0.05, 0.08]
CGA2 0.24*0.0340.015[0.004, 0.065]
Communal goal mismatch−0.21−0.070.04[−0.15, 0.01]
University belonging−0.05−0.010.02[−0.06, 0.03]
Baseline mentor network size (MNS)−0.43***−0.0910.015[−0.120, −0.063]
MNS2 0.33***0.0400.009[0.022, 0.059]
Current college rank
Junior yeara −0.03−0.020.06[−0.13, 0.09]
Fifth year or beyonda 0.050.070.11[−0.14, 0.28]
Advanced degreea 0.010.010.13[−0.25, 0.26]
Current major
Agriculture/natural resourcesb 0.0010.0010.08[−0.16, 0.16]
Physical sciencesb −0.13−0.110.08[−0.27, 0.05]
Technology/computer sciencesb,d 0.14*0.2090.080[0.050, 0.368]
Engineeringb 0.080.060.07[−0.08, 0.21]
Mathematics/statisticsb −0.03−0.070.39[−0.83, 0.69]
Environmental sciencesb 0.170.190.10[−0.004, 0.39]
S&E relatedb 0.010.010.11[−0.21, 0.24]
Non-STEMb −0.03−0.050.14[−0.31, 0.22]
Current university
Colorado Collegec −0.03−0.040.12[−0.27, 0.20]
Metropolitan State University of Denverc −0.11−0.160.13[−0.41, 0.08]
North Carolina A&T Universityc 0.090.130.09[−0.05, 0.30]
North Carolina State Universityc −0.09−0.080.08[−0.24, 0.07]
University of Colorado – Boulderc −0.10−0.090.08[−0.25, 0.06]
University of North Carolina – Charlottec −0.15−0.140.12[−0.38, 0.09]
University of South Carolinac −0.04−0.050.12[−0.28, 0.19]
University of Wyomingc −0.07−0.090.12[−0.33, 0.14]
Otherc −0.08−0.080.13[−0.34, 0.17]
Intercept0.600.08[0.45, 0.75]

Note: The regression model test was F(30, 153) = 6.26, p < 0.001, R 2 = 0.36. SERobust are for the unstandardized coefficient (b). aComparison versus senior year in college. bComparison versus biological sciences. cComparison versus Colorado State University. dSensitivity analysis (Cook’s distance) indicated no influential outliers within this subsample. *p < 0.05, **p < 0.01, ***p < 0.001.

Source: Authors’ contribution.

Figure 1

Curvilinear influence of baseline mentor network size on mentor network churn. Note: The gray area surrounding the black predicted network churn line represents 95% confidence bands.

Source: Authors’ contribution.

Figure 2

Curvilinear influence of perceived CGAs in STEM on mentor network churn. Note: The gray area surrounding the black predicted network churn line represents 95% confidence bands.

Source: Authors’ contribution.

Table 6

Changes in mentor role composition from time 1 to time 2.

Mentor roleTime 1 countTime 2 countNet change% Change
University faculty234256+22+9.4
Professional (non-university)121140+19+15.7
Graduate student2541+16+64.0
Postdoc109−1−10.0
Undergraduate student108−2−20.0
Other2820−8−28.6

Note: Net Change represents the aggregate difference in total mentions of each role across all participants.

Source: Authors’ contribution.

DOI: https://doi.org/10.2478/connections-2026-0003 | Journal eISSN: 2816-4245 (formerly 0226-1766) | Journal ISSN: 0226-1766
Language: English
Page range: 23 - 38
Submitted on: Dec 4, 2025
Accepted on: Jul 16, 2026
Published on: Sep 2, 2026
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Megan S. Patterson, Qiyue Zhang, Emily V. Fischer, Sandra M. Clinton, Rebecca T. Barnes, Paul R. Hernandez, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.