Statistical analysis
infertility
Data analysis was performed using SPSS statistical software version 18.In the current study, the independent variable is the infertility coaching intervention, while the dependent variable is the level of perceived stress of infertility. To describe the variables under investigation, various statistical measures were employed, including means, standard deviations, medians, and frequency percentages.Then, to examine the normal distribution of the data Shapiro–Wilk, Chi-square, and Fisher's exact tests were used to compare the categorical variables between the intervention and control groups. To compare the mean stress scores at the first, second, and fourth time points between the intervention and control groups, the independent t-test was used. Additionally, to compare the mean stress score at the third time point, the Mann–Whitney U test was employed. Generalized estimation equation (GEE) test was used to compare the mean changes in stress score over time (four measurement steps) between the two groups.Also, to compare the mean stress score on ovum retrieval, embryo transfer, and pregnancy test days with pre-intervention times in the intervention and control groups, paired t-test and Wilcoxon test were used. It should be noted that the trend of stress score changes over time (four measurement steps) in each group was determined by the Friedman test. Our analysis approach was based on analysis for intention to treat. Cohen’s effect size was also used to examine the difference between the mean scores of stress. P-A value of less than 0.05 was considered statistically significant