Yep, DonnyGately makes a good point. Not only self-selection bias, but also confirmation bias, and the biggest culprit lurking in that question, which is circulatory reasoning, are at work here. Also, the word 'slut' has socially pejorative connotations making it even worse. Above all, assuming what you're trying to prove is bad. Really bad.
A proper, scientific way of going about it would be to ask a good question (and to design a questionnaire that would be unbiased and sample from all stratas would be a no small fit). Bear in mind, the only way to go about it is to ask females about their sexual activity - otherwise, we just get an opinion poll which would be of little use.
But to give you an idea, I'd go along with something like this: "How many sexual partners have you had in the last twelve months". Then, you collect the data, do some exploratory analysis, pull some statistical tools (if we just collect data for one variable, we'd do some univariate analysis), get some results, then interpret them.
So, what will we get? Say, that for a particular cohort, we get that women aged X to Y have slept with Z men. Then what? Science is purely descriptive, and trying to force conclusions such that "if a woman slept with more than Z men in the last 12 months, then she is a slut", is a prescriptive statement. And as we've learnt from old, good Hume, you can't have ought from is. To say otherwise, would be on a par with saying 'female bonobos are sluts, for they have sex frequently!' Sounds absurd, doesn't it?
A proper, scientific way of going about it would be to ask a good question (and to design a questionnaire that would be unbiased and sample from all stratas would be a no small fit). Bear in mind, the only way to go about it is to ask females about their sexual activity - otherwise, we just get an opinion poll which would be of little use.
But to give you an idea, I'd go along with something like this: "How many sexual partners have you had in the last twelve months". Then, you collect the data, do some exploratory analysis, pull some statistical tools (if we just collect data for one variable, we'd do some univariate analysis), get some results, then interpret them.
So, what will we get? Say, that for a particular cohort, we get that women aged X to Y have slept with Z men. Then what? Science is purely descriptive, and trying to force conclusions such that "if a woman slept with more than Z men in the last 12 months, then she is a slut", is a prescriptive statement. And as we've learnt from old, good Hume, you can't have ought from is. To say otherwise, would be on a par with saying 'female bonobos are sluts, for they have sex frequently!' Sounds absurd, doesn't it?
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