Statistical analyses
SPSS 26.0.0.1 (Chicago, IL) was used for all statistical analyses. Preliminary analyses indicated less than 1% missing data on all variables. Multiple imputation was used to impute missing scores. Chi square tests and analyses of variance (ANOVAs) were used to examine group differences in study characteristics at baseline for categorical and continuous variables, respectively. Daily cigarette use at test sessions 2 and 3 was calculated as the mean number of cigarettes smoked per day in the week prior to each test session. Repeated measures analyses of variance (ANOVA) were used to examine group differences in physiological and craving measures, daily cigarette use, Contemplation Ladder and FTCD scores. Partial eta squared were used to assess the magnitude of these effects. Greenhouse-Geisser corrections were applied when the assumption of sphericity was violated. Post-hoc analyses consisted of paired samples t-tests with Bonferroni corrections. Correlational analyses tested for potential predictors of cigarette use changes, and the Benjamini-Hochberg procedure with a false discovery rate of 5% was applied to decrease the risk of false positives.