It's been a long time since I learned to do quantitative research and analyse statistics. I've now found myself doing a study where I have no idea how to process the data once it's collected.
I'm trying to ascertain whether there's a causal link between tolerance to ambiguity in risk and young people's involvement in crime.
I've sent out a questionnaire which has some questions about general background and involvement in crime, a copy of the Adolescent Risk Taking questionnaire and an behavioural-economic lottery task to ascertain tolerance to risk-ambiguity.
I've read up on loads of different ways to analyse data and all of them sound equally possible and problematic.
Any suggestions?
Causal link or correlation between tolerance to ambiguity in risk and young people's involvement in crime?
Though your variables are properly operationalized, but if you can rank the above mentioned to ordinal based variables, you can use either kendal's tab b or c, Gamma or Summer D statistics which will show you the relationship (whether negative or positive), strength and the level of significant between your tested variables to determine whether you can accept that there is a link or correlation between your tested variables.
But if you can't, you can ANOVA - Analysis of Variance.
All the best!
Many times quantitative data is good. But it became togheter historical perception for quantitative data make sense. Numbers dont tell a history.
Since my master I use a qualitative data thogeter a quantitative data. This has a complain a fact. However, in my PhD I used an urban etnografic method, looking for Oscar Lewis. Him produced this method. For me are very efficiently for urban studies.
Best Regards.
Hi Meghan, do you want to perform a correlational study to examine the relationship between tolerance and involvement in crime? Determining causality will prove difficult due to compounding variables (among other things) so you may want to approach your study through a correlational lens between these two variables.
Yes, you are right. I produced a linear regression too in my dissertation( if you live in the USA or Europe), in Brazil is a thesis. Sometimes we need to use many analytics forms for phenomenon understood.
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