I'm making an app to measure anxiety in special needs children. Children will regularly score their anxiety using a subjective units of distress scale, which is a 0-10 scoring system. I will record the time of the measurement. Each data item is therefore a tuple: [time, 0-10 score].
Children will score their anxiety on two or three occasions per day. I wasn't planning to enforce strict rules in this regard, but if it strongly affects the quality of the statistics, I could do that.
For each child, I would like to answer these questions:
- Is anxiety increasing or decreasing over time? I would like to answer that both generally (across all times of the day) but also for subsets of the data (e.g. the morning).
- Is a particular score, or set of scores, statistically higher or lower than normal? E.g. is this morning's score of 3 just normal variation or should we be concerned that it's significantly different to normal?
What would be appropriate statistical approaches to these questions, given the type of data I'm recording? Also, how many data items would need to be collected before I can present meaningful statistics for a child?
Apologies, I'm not sure which tags would be appropriate for this question