*2.8. Statistical Analysis*

We used the statistical package for social sciences, version 21, to export data from spreadsheets, coding, recoding, and analysis (SPSS Statistics for Windows, Armonk, NY, USA: IBM Corp.). The categorical and other descriptive results are presented as numbers (frequencies) and proportions (%), while the continuous data are presented as mean and standard deviation (SD). Initially, we performed the Shapiro–Wilk normality assumption test for the knowledge, attitude, and barriers scores. We found that all three types of scores did not meet the normality assumption (*p* < 0.001). Hence, we executed the Spearman's correlation coefficient rank test was also used to find the strength and direction of correlation between knowledge, attitude, and barriers scores. Finally, we performed a multivariable analysis using the binomial logistic regression method to find the significantly associated socio-demographic factors with the knowledge, attitude, barriers, and awareness of the MOH, Saudi Arabia's recommendation for mammogram screening for breast cancer. All the statistical analysis used in this research is two-tailed, and the *p*-value less than 0.05 was set as statistically significant.
