Hi all,
I am looking for some statistic methods to analyse our data. We asked participants an open-ended question about their present top three worries and we collected this data every month for five times. We also collected their demographic information and some other continuous variables, such as loneliness or mental health.
We manually categorised the worries into five types (so it can be treated as a categorical variable) and the potential research questions we have for now include:
-whether these worries change over time
-whether there are subgroups of the trajectory and what could predict the memberships
-what are the dynamic relationships between other continuous variables and the worries
I was wondering what statistical analyses we could do to answer any of the above questions? Thank you!
Try to accept responses from the public on close ended questions instead of open ended questions, as data analysis will become easy
If you could rank the 5 categories of worries, you could run the Friedman aligned ranks test for changes over times. You could then also run a Kruskal-Wallis test for differences between categories of subgroups (e.g. Male versus Female respondents).
If you cannot ranks these 5 categories, you still could test differences between categories of subgroups (e.g. Male versus Female respondents) with a Chi-square test. You could then also run a Cochran test for changes over times with 5 types .
- Badges
- Science method
- Similar topics
- Biological Science
- Ecology