Results
Table Mean and standard deviation of dependent variables in pre-test, post-test and follow-up stages among experimental and control groups
To run the main statistics, at first we computed all basic normality assumptions which showed a normal distribution for running of MANCOVAs in this study. Kolmogorov–Smirnov and Shapiro-Wilks tests of normality showed normal distribution for adaptive BMI, CER strategies, and maladaptive CER strategies as dependent variables during pre-test, post-test, and 6 months’ follow-up stages (Table Test of normality for dependent variables during pre-test, post-test and follow-up stages
The effect of schema therapy on BMI and CER strategies are presented in MANCOVA. In the current study before performing MANCOVA, the presumptions were firstly tested such as the Box test and Levine's test. Box’s M test for the equality of covariance across experimental and control groups showed the normal distribution of BMI and CER strategies as the basic assumption of MANCOVA (F = 0.66 = 1.86, Therefore, covariance analysis can be used to examine the data. Multivariate analysis of covariance was used to test the hypothesis that schema therapy influences the BMI and CER strategies after BS with 6 months’ follow-up. The results are presented in Tables Effect of Eta based on Pillai’s trace and Wilk's lambda test for combinational variableThe level of BMI and adaptive cognitive emotion regulation (CER) strategies and maladaptive cognitive emotion regulation (CER) strategies in experimental and control groups*Multivariate Analysis of Covariance (MANCOVA)Table According to Table 