I have received repeat measures from individuals over time asking them to complete self rating questionnaire
Scoring: rate of self harm (0-10) Severity of self harm (0-10) Rate of suicidal thinking (0-10) Rate of suicidal planning (0-10)
What is the best means of analysis for this.
I have corresponding gender and age for the above.
I have the ability to pool all data points and analyse the relationship between variables
And analyse over time.
I'm getting so very confused. (I am a clinician and not a natural statistitian!)
The measures are taken from people who are accessing support via a service for the above issues so we would hope to see change over time. I would like to look at the rate of effectiveness of the intervention but more so, I would like to examine how the variables behave.
It would appear that people recover, from a crude measures perspective, but that whilst some things obviously improve, others don't.
I'm pretty keen to look at what the variable interplay is.
When I'm a little more confident with the data I want to know at various time intercept points, across individuals, what the variable patterns are over the (up to 2 year intervention)
However, in the first instance I want to understand the relationship between the Self Harm and suicide variables. And how to undertake that analysis. Any help welcomed #outofmydepth