Week 16 Qualitative interviewing
Week 17 Diary studies
Week 18 Introduction to data handling and coding
Week 19 Coding
Week 19 Descriptive statistics
Week 20 Quality and Reviewing in qualitative research: reliability, validity and generalizability
Week 20 Tutorial on descriptive statistics
Week 21 Correlation
Week 21 Tutorial on correlation
Week 22 Single regression
Week 23 Multiple regression
Week 24 t-test and ANOVA
Week 24 Tutorial on ANOVA
Week 25 Data transformations, non-parametric tests, and tests for categorical data
Week 25 Tutorial on non-parametric tests

By the end of the module, students should be able to:
* appreciate the strengths and weaknesses of various qualitative methods
* reduce qualitative data and code them
* select appropriate research methods for a given set of research questions.
* judge which statistical analysis suits their data.
* conduct various kinds of statistical analyses.
* report the results of their statistical analyses.