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I agree with your assessment of the 'scientism' of social sciences, and the rather absurd uses of statistical methods (that should be inapplicable because of da
by Perceval 17y ago
I agree with your assessment of the 'scientism' of social sciences, and the rather absurd uses of statistical methods (that should be inapplicable because of data collective and basic assumption issues).
What I am to do is mostly descriptive statistics, but with a few simple tests (e.g. a test of variance with covariance). I've got three populations of civil war data and would like to compare features of those populations against each other (e.g. instance of civil war in period one vs. period two vs. period three). Controlling for # of states, or # of new states (say, within five years of their founding).
Most of the complicated stuff really can't be applied to stuff like data on civil wars, since the data doesn't meet basic assumptions of the models, but I would like to be able to say something more than just 'the data from period one looks different than the data from the other two periods.'
- thomaspaine 17y ago> Most of the complicated stuff really can't be applied to stuff like data on civil wars, since the data doesn't meet basic assumptions of the models I think this is precisely why we have more advanced statistical techniques. There are ways to correct for or at least detect serial correlation, homoskedasticity, etc, all of which are probably in your data. All real world data is fucked up in some way, having a large toolbox of statistical techniques helps you cope with this fact. Maybe not perfectly, but at least you'll know where/why your model is wrong.
- Perceval 17y agoCan you recommend a book on advanced statistical techniques or non-parametric statistics that's written mostly in English with a minimum of jargon?