The relationship between reinforcement and gaming machine choice

Journal of Gambling Studies

Volumn 24, Issue 1, 2008, Pages 55-61

  Haw, John ^a  

^a UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Gaming machine choice; Payback rate; Reinforcement; Win frequency

Indexed keywords

ADDICTION; ADULT; ANALYSIS OF VARIANCE; ARTICLE; AUSTRALIA; CLINICAL TRIAL; CONDITIONING; CONTROL; DECISION MAKING; FEMALE; HUMAN; MALE; PATHOLOGICAL GAMBLING; PSYCHOLOGICAL ASPECT; REINFORCEMENT; REWARD; STUDENT;

ADULT; ANALYSIS OF VARIANCE; BEHAVIOR, ADDICTIVE; CHOICE BEHAVIOR; CONDITIONING (PSYCHOLOGY); FEMALE; GAMBLING; HUMANS; INTERNAL-EXTERNAL CONTROL; MALE; NEW SOUTH WALES; REINFORCEMENT SCHEDULE; REWARD; STUDENTS;

EID: 37749026530     PISSN: 10505350     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10899-007-9073-5     Document Type: Article

References (10)

1. Davey, G. (1989). Ecological learning theory. London: Routledge.
2. Delfabbro, P. H., & Winefield, A. H. (1999). Poker machine gambling. An analysis of within session characteristics. British Journal of Psychology, 90, 425-439.
3. Dickerson, M., & Baron, E. (2000). Contemporary issues and future directions for research into pathological gambling. Addiction, 95(8), 1145-1159.
4. Dickerson, M. G., Hinchy, J., England, S. L., Fabre, J., & Cunningham, R. (1992). On the determinants of persistent gambling I. High frequency poker machine players. British Journal of Psychology, 83, 237-248.
5. Dixon, M. R., MacLin, O. H., & Daugherty, D. (2006). An evaluation of response allocations to concurrently available slot machine simulations. Behavior Research Methods, 38(2), 232-236.
6. Dixon, M. R., & Schreiber, J. (2002). Using a computerized video poker simulation for the collection of experimental data on gambling behaviour. The Psychological Record, 52, 417-428.
7. Grant, J. E., & Kim, S. W. (2004). Gender differences. In J. Grant, & M. N. Potenza (Eds), Pathological gambling: A clinical guide to treatment (pp. 97-109). Washington, DC: American Psychiatric Publishing.
8. Griffiths, M. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9(2), 101-120.
9. MacLin, O. H., Dixon, M. R., & Hayes, L. J. (1999). A computerized slot machine simulation to investigate the variable involved in gambling behavior. Behavior Research Methods, Instruments, & Computers, 31, 731-734.
10. Weatherly, J. N., & Brandt, A. E. (2004). Participants' sensitivity to percentage payback and credit value when playing a slot-machine simulation. Behavior and Social Issues, 13, 33-50.