Statistical analysis of the data
Data were fed to the computer and analyzed using IBM SPSS software
package version 20.0. Qualitative data were described using number and
percent. Quantitative data were described using range (minimum and
maximum), mean, standard deviation and median. Comparison between
different groups regarding categorical variables was tested using
Chi-square test. When more than 20% of the cells have expected count
less than 5, correction for chi-square was conducted using Fisher’s
Exact test or Monte Carlo correction. Variables were tested for
normality using Kolmogorov-Smirnov test, Shapiro-Wilk test and
D’Agostino test. If it reveals normal data distribution, parametric
tests were applied. If the data were abnormally distributed,
non-parametric tests were used. For normally distributed data,
comparison between two independent populations were done using
independent t-test. For Quantitative variables comparison between groups
were done using Mann Whitney test and Kruskal Wallis test. Significance
of the obtained results was judged at the 5% level.(17)