TY - JOUR
T1 - Gambling and the Reasoned Action Model
T2 - Predicting Past Behavior, Intentions, and Future Behavior
AU - Dahl, Ethan
AU - Tagler, Michael J.
AU - Hohman, Zachary P.
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media, LLC.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Gambling is a serious concern for society because it is highly addictive and is associated with a myriad of negative outcomes. The current study applied the Reasoned Action Model (RAM) to understand and predict gambling intentions and behavior. Although prior studies have taken a reasoned action approach to understand gambling, no prior study has fully applied the RAM or used the RAM to predict future gambling. Across two studies the RAM was used to predict intentions to gamble, past gambling behavior, and future gambling behavior. In study 1 the model significantly predicted intentions and past behavior in both a college student and Amazon Mechanical Turk sample. In study 2 the model predicted future gambling behavior, measured 2 weeks after initial measurement of the RAM constructs. This study stands as the first to show the utility of the RAM in predicting future gambling behavior. Across both studies, attitudes and perceived normative pressure were the strongest predictors of intentions to gamble. These findings provide increased understanding of gambling and inform the development of gambling interventions based on the RAM.
AB - Gambling is a serious concern for society because it is highly addictive and is associated with a myriad of negative outcomes. The current study applied the Reasoned Action Model (RAM) to understand and predict gambling intentions and behavior. Although prior studies have taken a reasoned action approach to understand gambling, no prior study has fully applied the RAM or used the RAM to predict future gambling. Across two studies the RAM was used to predict intentions to gamble, past gambling behavior, and future gambling behavior. In study 1 the model significantly predicted intentions and past behavior in both a college student and Amazon Mechanical Turk sample. In study 2 the model predicted future gambling behavior, measured 2 weeks after initial measurement of the RAM constructs. This study stands as the first to show the utility of the RAM in predicting future gambling behavior. Across both studies, attitudes and perceived normative pressure were the strongest predictors of intentions to gamble. These findings provide increased understanding of gambling and inform the development of gambling interventions based on the RAM.
KW - Behavioral intention
KW - Gambling
KW - Perceived behavioral control
KW - Predicting behavior
KW - Reasoned Action Model
UR - http://www.scopus.com/inward/record.url?scp=85042724469&partnerID=8YFLogxK
U2 - 10.1007/s10899-017-9702-6
DO - 10.1007/s10899-017-9702-6
M3 - Article
C2 - 28623608
AN - SCOPUS:85042724469
VL - 34
SP - 101
EP - 118
JO - Journal of Gambling Studies
JF - Journal of Gambling Studies
SN - 1050-5350
IS - 1
ER -