Consistency and completeness of responses filled in questionnaires were first checked. Data were pre-coded manually, and it was entered into EPI-info 3.5.2 then transported to SPSS 21 version for analysis. Data editing was done after data entry by running frequencies then checking for missing values and outliers. Descriptive statistical analysis was done and presented in percentage, mean, standard deviation (SD), table, and graphs. Bivariate analysis between dependent and independent variables was done using binary logistic regression. Multicollinearity of independent variables was checked by Variance Inflation Factor (VIF), and all values were below the recommended maximum VIF values of four. All covariates that are significant at p-value < 0.25 in bivariate analysis were considered for multivariate analysis to control all possible confounders. Association was expressed as crude odds ratios (COR) and adjusted odds ratio (AOR), and their corresponding 95% confidence intervals (CIs) were obtained from logistic regression models. Odds ratios (OR) were reported together with their 95% CI, and statistical significance was declared at P-value < 0.05.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.