This paper presents a research study investigating the association between social influence and alcohol use among college students. Drawing on prior literature demonstrating strong links between peer influence and college drinking patterns, the study tests two hypotheses: that alcohol use is positively related to social interaction characteristics (network density, social contact), and that Greek organization membership correlates with increased drinking. Using the Alcohol Use Disorders Identification Test (AUDIT) and social modeling measures adapted from Wood et al., the research surveyed 46 undergraduate classmates. The study employs one-way ANOVA and cross-domain modeling to assess mediational effects of social influence on alcohol consumption patterns within a specific college population.
Research consistently demonstrates a strong association between social influence and alcohol use among college students. Wood et al. (2000) conducted a structural equation modeling study of 399 heavy-drinking college students and found that active social influence greatly instigated alcohol use and alcoholism. Their analysis provided "strong evidence that college drinking is associated with social factors," suggesting that peer networks and social contexts play a primary role in drinking behavior.
Capone et al. (2007) extended this finding by examining Greek sororities and fraternity involvement, demonstrating that socialization effects encourage higher levels of alcohol use, particularly among males. Using latent growth curve modeling on 338 undergraduates surveyed before enrollment and again during freshman and sophomore years, the researchers found that gender, Greek membership, and drinking tendencies were facilitated by socialization processes and reciprocal influence—even among students who had already been heavy drinkers prior to college.
O'Malley and Johnston (2002) analyzed five data sources on college drinking and identified persistent high rates of alcohol use among college students. Key demographic findings included that males drink more heavily than females, whites have higher drinking rates than Black and Hispanic students, and college students exceed their non-college peers in both amount and consistency of drinking. Notably, college students who drank little before enrollment often increased their consumption once at college, suggesting an environmental or social mechanism driving increased use.
The relationship between peer pressure during college and post-graduation drinking habits is particularly significant. Lin and Carlson (2009) observed that binge drinking persists among college students despite standard alcohol prevention and intervention programs. They theorized that psychological and social factors drive this behavior and tested cognitive and behavioral theories to develop more effective interventions. Similarly, VonDras, Schmitt, and Marx (1007) found that social support and cognitive schemas served as protective factors against alcohol use, yet prevention efforts have had limited success in reducing college drinking rates.
This study investigates whether the associations between social influence and alcohol use documented in prior literature extend to the specific college population being studied. Understanding this relationship on a particular campus provides actionable insights for institution-specific prevention efforts.
Primary hypothesis: Alcohol use is positively related to social support characteristics that reflect high levels of social interaction, including network density and amount of social contact, as well as measures of social competence. In other words, heavier drinking will be observed among students who attend clubs and social venues where drinking is common.
Secondary hypothesis: Membership in sororities is associated with increased drinking compared to non-members.
The study's direction is unidirectional, examining whether increased social interaction and Greek membership predict increased alcohol use. This directional hypothesis aligns with theoretical models suggesting that peer networks influence individual behavior rather than the reverse.
The study employs a cross-sectional survey design with a convenience sample of 46 undergraduate students from the researchers' campus. Participants are recruited from classes and social spaces, with data collection occurring at a designated time. All participants are informed of their right to refuse participation and to skip any survey items. Written informed consent is obtained from all participants before survey administration.
The sample composition represents a mixed population of undergraduates with varying levels of Greek involvement, social activity, and drinking experience. This diversity allows for adequate variation on the predictor variables of interest (social interaction characteristics and Greek membership).
Two primary instruments measure the key constructs. Alcohol use is assessed using the Alcohol Use Disorders Identification Test (AUDIT), a 10-item validated screening tool that detects hazardous and harmful drinking in the past year. Questions 1 through 8 assess drinking frequency and quantity (scored 0–4 points each), while questions 9 and 10 address consequences and concern from others (scored 0, 2, or 4 points). A total score of 8 or higher indicates harmful or hazardous drinking. For this study, items 3 through 8 are coded and used as primary alcohol use indicators.
Social influence is measured using five items adapted from Wood et al. (2001), assessing both attitudes toward drinking and peer behaviors:
Q9. "Drinking makes celebrating more enjoyable"
Q10. "Drinking makes me feel cool"
Q11. "Drinking helps me forget problems at work or school"
Q12. "Drinking helps me to feel better when I'm down"
Q13. "My close friends do/don't drink"
Response options range from 0 (strongly disapprove) to 4 (strongly approve) for attitudinal items. For peer drinking (Q13), responses range from 0 (close friends don't drink) to 4 (more than six drinks). These items capture both positive outcome expectancies for drinking and direct observation of peer consumption patterns, the two primary mechanisms of social influence documented in prior research.
Recruitment occurs by informing potential participants that the study examines the relationship between social interaction frequency and alcohol use among college students. The researcher describes how social contexts such as Greek organizations, roommate relationships, and social events may influence drinking patterns, providing a brief but honest description of the study focus without biasing responses.
Before survey administration, all participants receive a standardized informed consent briefing. The researcher explains the study objective (to conduct a survey on drinking among students), clarifies that participation is voluntary, notes that while complete responses are helpful, participants may skip any questions, and describes confidentiality protections including secure storage of data and the option to use pseudonyms. Participants are asked to confirm understanding and provide an opportunity to ask questions before proceeding.
After completing the survey, participants place their questionnaires in sealed envelopes provided by the researcher. All collected data is stored in a secure location accessible only to the researcher and designated assistants. Data are assessed immediately and destroyed after encoding and analysis is complete. Following data analysis, participants are informed that they may request study results. The researcher then discloses the complete study objective—to assess whether a positive relationship exists between social support characteristics and drinking among students at the college—and provides findings to interested participants, ensuring full transparency and reciprocal benefit.
"ANOVA and mediational modeling of social influence effects"
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