Statistical Analysis
Descriptive statistics were performed for normally-distributed data using mean ± SD, for non-normally distributed and Likert scale data using median and interquartile range, and for count data using frequencies and percentages. A total questionnaire score out of 270 was calculated by summing the responses of all the 54 anatomical structure questions.
Within-subjects t-test was used to compare differences in total questionnaire scores between resident doctors based on gender, formal surgical anatomy lectures or workshops attended during residency training, and the number of surgical procedures they attended or performed every month.
One-way analysis of variance (ANOVA) was used to compare differences in total questionnaire scores between residents based on the year of the residency, their rating of the value of medical school anatomy courses relevant to their current training in O&G, and receiving demonstration of anatomical structures from senior colleagues during surgical procedures. In case of significant differences, pot-hoc pairwise comparisons with Bonferroni corrections were done.
To compare the ability of residents to identify anatomical structures across the different years of the residency, a Kruskal-Wallis test was done with post-hoc pairwise comparisons in case of significant differences.
The level of significance was set at α < 0.05. Data were analyzed using SPSS for Windows (Version 22, SPSS Inc., Chicago, Illinois).