Motivating student voter registration

The study investigates why college student voter turnout remains comparatively low despite higher educational attainment being positively correlated with participation. Set against the backdrop of the COVID-19 pandemic and a nationwide campus effort—Ask Every Student (AES)—to increase voter registration, the authors examine the effectiveness of these efforts and identify barriers that impede student registration and turnout. The research questions center on whether familiarity with and encouragement from AES increase reported registration and voting, and what specific cognitive and logistical barriers students face (e.g., choosing party affiliation, deciding whether to register at home or campus addresses). The study’s purpose is to inform best practices for campus-based registration programs by highlighting understudied barriers and the potential for spillover effects to families via student knowledge brokering.

Prior work shows that simplifying registration can boost student participation. In-class presentations increased registration by about 6 percentage points and turnout by 2.6 points (Bennion & Nickerson, 2016). Email outreach can be effective when it includes direct links to online voter registration, particularly from trusted senders (Bennion & Nickerson, 2011, 2022). Institutional reforms such as election-day registration are associated with higher turnout (Knack, 2001), although ease of registration alone may be insufficient for lower-propensity voters (Brown & Wedeking, 2006). Holbein and Hillygus (2020) emphasize the role of noncognitive skills (self-regulation, follow-through) in translating civic intent into action, suggesting that internal capacities matter alongside institutional structures. Perceived social norms also influence student intentions to vote (Glynn et al., 2009). Students may strategically choose registration locations (Niemi & Hanmer, 2010). Efforts focusing on rote civic knowledge (e.g., civics tests) have not increased youth turnout (Koons, 2023). Overall, the literature highlights structural and psychological barriers; however, less attention has been paid to cognitive hurdles specific to first-time registrants, such as selecting party affiliation and choosing a registration address—gaps this study addresses.

Design: Mixed-methods evaluation of AES campus programming during the 2020 election cycle, conducted in spring 2021. Hypotheses posited that familiarity with and encouragement from AES would increase reported registration and voting, with larger effects among first-year students, on-campus residents, and those attending in person; and that more per-capita AES/SLSV funding would relate to higher registration and turnout. The team also explored effectiveness across MSIs versus non-MSIs and institutional size. Sampling and sites: 14 diverse campuses (2- and 4-year; public and private; including HSIs and HBCUs) that participated in AES were selected in coordination with SLSV to maximize institutional diversity and include an MSI oversample. Data collection:

• Online survey of 2,267 students across 14 campuses (April 15–May 15, 2021) with a $10 incentive.
• Zoom focus groups: 24 groups with a total of 95 students (April 19–May 27, 2021), $50 incentive. Facilitators were graduate students/faculty; facilitator race was matched when feasible to campus MSI status to enhance rapport. Measures: Survey captured demographics, awareness of AES (heard of program; received encouragement to register), self-reported registration and voting, housing status, instruction mode, and campus identifiers. Campus-level data included MSI status, enrollment, and AES/SLSV grant per capita. Quantitative analysis: OLS regressions with campus fixed effects estimated associations between AES exposure (hearing/encouragement) and self-reported registration and voting. Robustness checks limited samples to age 17+ and 17–29. Moderation by class year, housing status, instruction mode, and race was tested. Effects of grant dollars per student (AES+SLSV and AES-only) on average campus registration were assessed, controlling for age, year in college, and income. Qualitative analysis: Inductive thematic content analysis of focus group transcripts (Morgan, 2019). Three coders developed and refined codes into higher-level themes. Final themes: (1) voting attitudes and registration (including cognitive/logistical hurdles), (2) political socialization, and (3) brokering political knowledge. Ethics: IRB approval at Menlo College; informed consent obtained; confidentiality procedures in place. Data availability: Datasets available at Dataverse (https://doi.org/10.7910/DVN/CRODER).

Quantitative findings:

• Sample outcomes and exposure: 86.8% reported being registered; 79.4% reported voting (92.9% among registrants). Awareness: 76.1% heard about AES; 73.7% reported being encouraged to register by AES.
• Hearing about AES and registration: Associated with +8.3 percentage points in reported registration overall (p=0.000); +8.3 points in age 17+; +8.6 points in ages 17–29. Stronger for first-year students (+13.5 points, p=0.000) than upper-level (+6.3 points, p=0.002); difference ≈ +7.2 points (p≈0.054).
• Hearing about AES and turnout: Associated with +5.6 to +5.9 percentage points in reported voting across samples (p=0.000). No consistent significant moderation by class level, housing, instruction mode, or race.
• Encouragement to register and registration: +7.6 points overall (p=0.000); +7.4 points (17+), +8.1 points (17–29). Stronger for first-years (+14.2) than upper-division (+5.4).
• Housing moderation (encouragement): On-campus +13.8 points (p=0.000) vs. off-campus +3.3 (p=0.064); difference +10.4 (p=0.000). Hearing about AES showed larger point estimates on-campus (+10.8) than off-campus (+4.6), with between-group differences marginal by two-tailed tests.
• Funding effects: Each additional total (AES+SLSV) grant dollar per student associated with +1.81 points in average campus registration (p=0.068, one-tailed). AES-only: +2.39 points per $1 per student (p=0.032, one-tailed), controlling for age, year, and income. Qualitative findings:
• Understudied cognitive/logistical barriers: Students reported difficulty deciding (a) whether/how to select a party affiliation (often unaware they could register unaffiliated), and (b) whether to register at their campus or home address, especially amid COVID-related mobility constraints and unfamiliar campus mail systems.
• Visual cues and reminders: Registration tables and campus messaging served as salient reminders, prompting later at-home registration even without direct interactions.
• Messaging unintended effects: High-volume, urgent messaging sometimes led students to infer that registration is time-consuming or difficult, potentially deterring action.
• Knowledge brokering and reverse socialization: Students frequently conveyed registration and mail/online voting information to family members, assisting less digitally comfortable relatives and potentially extending AES effects beyond campus.

The findings indicate that campus-branded voter engagement (AES) correlates with higher self-reported student registration and voting, with notably stronger effects among first-year students and on-campus residents (for encouragement). This suggests that targeted, early college outreach can leverage a critical developmental window when voting habits are forming. While structural simplifications and noncognitive skills matter, the study identifies specific cognitive decisions—selecting party affiliation and choosing a registration address—as overlooked bottlenecks that can stall completion of otherwise simple forms. Addressing these bottlenecks through neutral, practical guidance may convert civic intentions into action more effectively than generic exhortations. The qualitative evidence of students acting as knowledge brokers implies potential spillover effects to households, enhancing community-level participation, especially where family members have limited experience with digital or pandemic-era voting options. However, given non-experimental design and self-reported outcomes, causal attribution requires caution; observed associations could reflect higher awareness among already-engaged students. Still, convergence of quantitative associations and qualitative mechanisms supports the relevance of AES-style programming and the added value of demystifying party choice and address selection in registration processes.

AES campus programming was associated with higher reported registration and turnout among college students in 2020–2021, with particularly strong associations for first-year students and for on-campus residents when directly encouraged. Focus groups revealed underappreciated cognitive and logistical hurdles—choosing party affiliation and deciding between home versus campus addresses—that impede first-time registrants. Clear, neutral information on party affiliation options (including registering unaffiliated where applicable), explicit guidance on address choice, and messaging that emphasizes the simplicity and brevity of the process could improve completion rates. Visual cues like tabling can act as effective reminders, and students often transmit registration and voting know-how to family members, suggesting broader societal benefits. Future research should deploy randomized controlled trials with validated administrative outcomes to establish causal impacts of specific tactics and to assess heterogeneity by institution type (e.g., MSIs), student demographics, housing, and instructional modality. Additional work should test optimized messaging that reduces perceived complexity and directly addresses identified cognitive hurdles.

• Causality: Observational design with self-reported outcomes; no randomized treatment/control, limiting causal inference and raising potential recall/selection biases (e.g., more engaged students may better remember AES exposure).
• Sample representativeness: Incentivized opt-in survey and focus groups may not represent campus populations; slight overrepresentation of white, non-Hispanic students and underrepresentation of Hispanic students in the survey; focus groups oversampled some groups and varied by campus.
• Measurement: Self-reported registration and turnout are subject to social desirability and recall errors; AES exposure measures rely on recall.
• Generalizability: Conducted during the COVID-19 pandemic amid shifts to online learning and voting procedures, which may affect applicability to other contexts.
• Statistical significance: Some subgroup differences (e.g., housing effects for hearing about AES) were marginal depending on tail assumptions; funding effects were estimated with one-tailed tests and are suggestive.
• Unmeasured confounders: Despite campus fixed effects and controls (age, year, income), residual confounding at student and campus levels may remain.