Personalized normative feedback (PNF) has shown promise as a stand-alone intervention for reducing alcohol use among college students. PNF uses norms clarification to correct drinking norms misperceptions by highlighting discrepancies between personal alcohol use, perceived peer alcohol use, and actual peer alcohol use. Previous reviews of personalized feedback interventions have identified norms clarification as key a component, prompting researchers to study PNF as a single-component intervention for college drinking. As the number of publications focused on PNF effectiveness has increased in recent years, an empirical review of these studies is warranted to assess the potential impact of PNF as a stand-alone program. The purpose of the present study was to summarize available research and to perform a meta-analytic review of personalized normative feedback as a stand-alone intervention for college student drinking. Studies were included if they examined a stand-alone PNF drinking intervention, used a college student sample, reported alcohol use outcomes, and used a pre-post experimental design with follow-up at least 28 days post-intervention. Eight studies (13 interventions) completed between 2004 and 2014 were included. Effect size estimates (ESs) were calculated as the standardized mean difference in change scores between treatment and control groups. Compared to control participants, students who received PNF reported a greater reduction in drinking and harms from baseline to follow-up. Results were similar for both gender-neutral and gender-specific PNF. Overall, intervention effects for drinking were small but reliable. This study offers an empirical summary of stand-alone PNF for reducing college student drinking and provides a foundation for future research.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-2339 |
| Date | 01 January 2015 |
| Creators | Dotson, Keri |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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