Statistics v20

SPSS IBM Statistics v.20.0 was used for data analyses. The distributions of gender, education, and experience of hypnosis in two groups were analyzed by the Mann–Whitney U test. The Shapiro–Wilk test was used to verify the normal distribution of the total SHSS:C score. The age and SHSS:C scores in two groups were dealt with the Student’s t-test. Since each SHSS:C item measures a different aspect of hypnotizability [28 (link)], the passing rate of each item was compared by the Mann–Whitney U test. Afterwards, multivariate ANOVA plus post-hoc Bonferroni test were used to see the main effect of and interaction effect between group (HC/CAPD) and hypnotizability level (low/medium/high) on PERM styles (with T scores). The Pearson Correlation Analysis and the Multiple Linear Regression Analysis (Stepwise Method) were used successively to explore the relationships between SHSS:C and PERM in two groups. For predictions, demographic variables and the passing rates of SHSS:C items were taken as potential predictors. The alpha value (p) was set to 0.05.

The data collected were statistically analyzed in triplicate using SPSS Statistics V.20.0. All data were subjected to analysis of variance (ANOVA) to assess the significance of the effects of treatments on Djulis sausages. Differences among the treatments’ means were considered significant at p < 0.05 using the Duncan multiple range test.