Reliability Of Self-reported Data Research Articles

Reduction of Smoking Behavior: A Multivariable Treatment Package and the Programming of Response Maintenance

The present investigation attempted to utilize a gradual reduction, multivariable treatment package in the modification of smoking behavior. Eight subjects and their spouses were randomly selected and given baseline training in the recording of daily cigarette rates. A within-subject changing criterion design was used in which subjects decreased their smoking rate by one cigarette every 2 days. The treatment package consisted of a variety of maintenance procedures, including a token economy with food discount coupons, spouse involvement, and self-control manual. Overall results indicated a significant reduction in the number of cigarettes smoked from baseline to posttreatment (p <.01). Of greater importance, however, was the initial demonstration of a functional relationship and maintenance of therapeutic effects over a 6-mo. follow-up period. These findings were discussed in terms of maintenance-enhancing strategies, token economy research, and increasing reliability of self-report data.