• Choose variables you want to use in the analysis. Pick one or two effect variables, and some explanatory variables you can use to analyze variation in the effect variables. Think through what explanatory variables that can help with explaining. F.ex. is it reasonable to expect a difference between sex, age or rich-poor?
• Boxmodel or two that shows how you think the coherence between the variables are.
• Try to choose variables on different levels, so you show different statistical analysis.
• Discuss how you perceive the validity between your theoretical term and the concrete questions that are asked in the question form.
• Carry out the statistical analysis and present the results in text and tables. Use both uni-variate, bi-variate and multivariate analysis. Execute significance tests of the analysis. Present and interpret these tests. Only use the most important from the tables in the text, and put the ones that aren’t interpreted in text, as attachments .
• Discuss if the analysis has answered the research questions
• USE METHOD CURRICULUM ACTIVELY when discussing choices made.
