Principles of applied statistics in primary
health care research, descriptive and inferential statistics, parametric and
non-parametric statistics, hypothesis testing for population means and
proportions, analysis of variance, correlation analysis and multiple
regression, Chi-square test and multiple logistic regression, path analysis,
factor analysis, structural equation model (SEM), selecting appropriate
statistical methods, data analysis using Statistical Package for the Social
Sciences (SPSS) software and Analysis of Moment Structure (AMOS)