title: Population-level administration of AlcoholEdu for college: an ARIMA time-series analysis.
abstract: Autoregressive integrated moving averages (ARIMA) is a powerful analytic tool for conducting interrupted time-series analysis, yet it is rarely used in studies of public health campaigns or programs. This study demonstrated the use of ARIMA to assess AlcoholEdu for College, an online alcohol education course for first-year students, and other health and safety programs introduced at a moderate-size public university in the South. From 1992 to 2009, the university administered annual Core Alcohol and Drug Surveys to samples of undergraduates (Ns = 498 to 1032). AlcoholEdu and other health and safety programs that began during the study period were assessed through a series of quasi-experimental ARIMA analyses. Implementation of AlcoholEdu in 2004 was significantly associated with substantial decreases in alcohol consumption and alcohol- or drug-related negative consequences. These improvements were sustained over time as succeeding first-year classes took the course. Previous studies have shown that AlcoholEdu has an initial positive effect on students' alcohol use and associated negative consequences. This investigation suggests that these positive changes may be sustainable over time through yearly implementation of the course with first-year students. ARIMA time-series analysis holds great promise for investigating the effect of program and policy interventions to address alcohol- and drug-related problems on campus.
authors.affiliation: EverFi Inc., Washington, District of Columbia, USA.
authors.forename: Todd M
authors.initials: TM
authors.lastname: Wyatt
authors.forename: William
authors.initials: W
authors.lastname: Dejong
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Dixon
mesh_terms: D000293:Adolescent; D000428:Alcohol Drinking / Q000517:prevention & control* / Q000523:psychology; D003194:Computer-Assisted Instruction; D005260:Female; D005500:Follow-Up Studies; D006266:Health Education / Q000379:methods*; D006306:Health Surveys; D006801:Humans; D020407:Internet; D008297:Male; D015397:Program Evaluation; D012044:Regression Analysis; D013333:Student Health Services; D013334:Students / Q000523:psychology* / Q000706:statistics & numerical data; D013997:Time Factors; D014495:Universities; D055815:Young Adult