Statistical analysis
SECONDARY, REGRESSIONS
For the primary aim, four Analyses of Variance (ANOVA) were conducted with positive and negative highly- and minimally-processed food expectancies as dependent variables. Experimental condition was the independent variable/between-subjects factor. Post hoc Fisher’s Least Significant Difference (LSD) tests were conducted for pairwise comparisons.For the secondary aim, hierarchical multiple regressions were conducted with positive and negative highly- and minimally-processed food expectancies as dependent variables. Independent variables included experimental condition (dummy coded into three variables with the control condition as the reference group) in Step 1, food addiction symptoms in Step 2, and their interaction (coded by multiplicative interaction terms) in Step 3. Significant interactions were followed up with tests of simple effects; subgroups were created with a median split on food addiction symptoms [<4 symptoms = 0 (47.0% of sample), ⩾ 4 symptoms = 1 (53.0% of sample)].Analysis was conducted in SPSS, Build 1.0.0.1447 (IBM Corporation, Armonk, NY) using default procedures to account for missing data (<3% of data were missing). Significance was set at 