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Assessment of Cigarette Smoking and Smoking Susceptibility among Youth
Telephone Computer-Assisted Self-Interviews versus Computer-Assisted Telephone Interviews
JOEL M. MOSKOWITZ is director of the Center for Family and Community Health at the School of Public Health, University of California, Berkeley. This research was supported by a grant (6RT-0371) from the University of California Tobacco-Related Disease Research Program. Additional support was provided by the Centers for Disease Control and Prevention under a cooperative agreement (U48/909706) to the Center for Family and Community Health. The author wishes to thank (1) his collaborators at the Gallup Organization: Howard Fishbein for design and supervision of data collection procedures and Manas Chattopadhyay for sample design and sample weighting; (2) three colleagues at the Center for Family and Community Health: Anthony Lew for preliminary data analysis and Long Ngo and Gene Kazinets for statistical consultation; (3) David Cowling, at the California Department of Health Services, for provision of the California National Youth Tobacco Survey data; (4) Joseph Gfroerer, at the Substance Abuse and Mental Health Services Administration (SAMHSA), for provision of data from the National Household Survey on Drug Abuse, and (5) the journal editor and three anonymous reviewers for their helpful suggestions.
Address correspondence to the author; e-mail: jmm{at}berkeley.edu.
This experimental study assesses the effect of two survey methods, telephone audio computer-assisted self-interviewing (T-ACASI) and computer-assisted telephone interviewing (CATI), on self-reports of smoking behavior and smoking susceptibility among adolescents 1217 years of age in California. In T-ACASI, participants listen to prerecorded, computer-controlled questions and respond by pressing the keypad on a touch-tone telephone. In CATI, interviewers administer the questions and enter responses into a computer. Prior research suggests that youth may be more likely to report sensitive behaviors in a self-administered survey like T-ACASI compared to an interviewer-administered survey like CATI, due to greater perceived confidentiality. Logistic regression analyses were conducted on unweighted data, controlling for demographic differences. Adjusted estimates of current smoking (past 30 days) were significantly greater in T-ACASI (8.3 percent) than CATI (4.5 percent). Smoking susceptibility (i.e., lack of a firm commitment not to smoke among those who have never smoked) was also greater in T-ACASI (45.0 percent) than CATI (34.9 percent). In both surveys, social desirability response bias was negatively associated with smoking, which suggests that response bias was problematic for both modes. Many respondents reported that a parent was present during the interview (59.4 percent in CATI; 42.0 percent in T-ACASI). In both surveys, parental presence was negatively associated with smoking, which suggests that this factor could also contribute to underreporting. Application of sample weights to the data eliminated the survey mode effects; however, the CATI current smoking estimate (9.3 percent) from this study was significantly less than an estimate (14.2 percent) obtained from a self-administered, school-based survey conducted the same year on California adolescents.
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