Alcohol Warning Statement Effectiveness Under Different Alcohol Category Conditions
Abstract
It has been shown that heterogeneity in worded alcohol warning statement effectiveness affects young people’s choice behaviour. This heterogeneity has been found to be closely aligned to gender differences. In this study, the research is extended by considering the influence of alcohol category (type) on choice and how this preference influences warning statement effectiveness. Choice tasks combining different branded alcohol types, alcohol content and warning statements were presented online as labels. The context was 18-25 year old drinkers in Australia. The results showed that while gender is a significant covariate for the different latent classes in the data, it doesn’t improve overall model fit. Alcohol category preferences drive choice behaviour and differences exist with regards to how warning statements are processed. With certain pre-mixed beverages and wine, worded statements in larger font size had significant negative impact on choice. With rum drinkers, simpler cues of size and the use of the word “WARNING” in front of the statement had a negative impact on choice. With beer drinkers, neither statement nor orientation of the statement influenced choice. The results suggest new warning statements strategies for dealing with heterogeneity in the wider alcohol market.
Keywords
Discrete Choice Choice Task Discrete Choice Experiment Alcohol Content Latent Class ModelPreview
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References
- Andsager, J. L., Austin, E. W., & Pinkleton, B. E. (2002). Gender as a Variable in Interpretation of Alcohol-Related Messages. Communication Research, 29(3), 246-269.CrossRefGoogle Scholar
- Australian Institute of Health & Welfare. (2008). 2007 National Drug Strategy Household Survey: First results. Canberra: AIHW.Google Scholar
- Ben-Akiva, M. E., & Lerman, S. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, U.S.A: MIT Press.Google Scholar
- Doran, C. M., Shakeshaft, A. P., & Petrie, D. (2006). The consumption of alcohol by Australian adolescents: A comparison of revenue and expenditure. Addictive Behaviours, 37(10), 1919-1928.CrossRefGoogle Scholar
- Greenfield, T. K., Graves, K. L., & Kaskutas, L. A. (1999). Long-Term Effects of Alcohol Warning Labels: Findings from a Comparison of the United States and Ontario, Canada. Psychology & Marketing, 16(3), 261-282.CrossRefGoogle Scholar
- Grunert, K., & Wills, J. (2007). A review of European research on consumer response to nutrition information on food labels. Journal of Public Health, 15(5), 385-399.CrossRefGoogle Scholar
- Hensher, D., Rose, J., & Greene, W. (2005). Applied Choice Analysis: A Primer. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
- Hoek, J., Wong, C., Gendell, P., Louviere, J., & Cong, K. (2011). Effects of dissuasive packaging on young adult smokers. Tobacco Control, 20, 183-188.CrossRefGoogle Scholar
- Jarvis, W., & Pettigrew, S. (2013). The relative influence of alcohol warning statement type on young drinkers' stated choices', Food Quality and Preference, 28(1), 244-252.CrossRefGoogle Scholar
- Kaskutas, L., & Greenfield, T. K. (1992). First effects of warning labels on alcoholic beverage containers. Drug and Alcohol Dependence, 31(1), 1-14CrossRefGoogle Scholar
- Lacanilao, R. D., Cash, S. B., & Adamowicz, W. L. (2011). Heterogeneous Consumer Responses to Snack Food Taxes and Warning Labels. The Journal of Consumer Affairs. 45(1), 108-122.CrossRefGoogle Scholar
- Louviere, J., Hensher, D., & Swait, J. (2000). Stated Choice Methods: Analysis and Application. Cambridge, U.S.A.: Cambridge: The Press Syndicate.CrossRefGoogle Scholar
- MacKinnon, D., Nohre, L., Pentz, M., & Stacy, A. (2000). The alcohol warning and adolescents: 5-year effects. American Journal of Public Health, 90(10), 1589-1594.CrossRefGoogle Scholar
- Malouff, J., Schutte, N., Wiener, K., Brancazio, C., & Fish, D. (1993). Important characteristics of warning displays on alcohol containers. Journal of Studies on Alcohol, 54(4), 457-461.Google Scholar
- Mueller, S., Lockshin, L., & Louviere, J. (2010). What you see may not be what you get: Asking consumers what matters may not reflect what they choose. Marketing Letters, 21(4), 335-350.CrossRefGoogle Scholar
- Olaru, D., Smith, B., and Wang, J. (2011). Optimal discrete choice experimental designs using genetic algorithms, !st International Choice Modelling Conference, Oulton Hall, July 4-6, UK.Google Scholar
- Scarpa, R., & Thiene, M. (2005). Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences. Land Economics, 81(3), 426-444.Google Scholar
- Sloane, N.J. (2005). Tables of Orthogonal Arrays. available at: http://NeilSloane.com/oadir/index.html.Google Scholar
- Vermunt, J. K., & Magidson, J. (2005). Technical Guide for Latent Gold 4.0: Basic and Advanced. Belmont Massachusetts, U.S.A.: Statistical Innovations Inc.Google Scholar
- VicHealth. (2009). VicHealth Community Atititudes Survey to Alcohol Policy. Melbourne: Victoria.: VicHealth.Google Scholar
- Wilkinson, C., & Room, R. (2009). Warnings on alcohol containers and advertisements: International experience and evidence on effects. Drug and Alcohol Review, 28(4), 426-435.CrossRefGoogle Scholar
- Wogalter, M. S., & Laughery, K. R. (1996). WARNING! Sign and Label Effectiveness. Psychological Science, 5(2), 33-37.Google Scholar