Statistical analysis:
Data were analysed using the Statistical Package of Social Science
(SPSS) program for Windows (Standard version 24). The normality of data
was first tested with one-sample Kolmogorov-Smirnov test.
Continuous variables were presented as mean ± SD (standard deviation)
while qualitative data were described using number and percent. Pearson
correlation was used to correlate continuous variables.
Significant variables in correlation entered into linear regression
models using the enter statistical technique to predict the most
significant determinants and to control for possible interactions and
confounding effects.
Level of significance:
For all above mentioned statistical tests done, the threshold of
significance is fixed at 5% level (p-value). The results were
considered:
Non-significant when the probability of error is more than 5% (p
> 0.05).
Significant when the probability of error is less than 5% (p ≤ 0.05).
The smaller the p-value obtained, the more significant are the results.