I am running a large survey and am trying to figure out what statistical analyses to perform.
The survey asks questions in every format known to man (e.g., likert scales, multi-choice, dichotomous) and is about psychosocial health and work stress.
I plan to run a factor analysis to see what demographic questions factor together to effect quality of life and my supervisor has suggested then doing Pearson correlations on the factors that get thrown up. Then running n-way MANOVA to determine % of variance explained. Despite having aced stats up til now, I'm finding my old brain is confused by all this and somehow the order seems backwards.
- If you had a huge data set and you expected lots of the questions to come together to be influential factors on a dependent variable (quality of life in this case) what would you do and in what order?