Yeah, I'm with Lizette on this one. B is more about the researcher's perception, not the actual accuracy of the measurements. C is the only choice that gets to the heart of the matter.
Nah, that's not how it works. Just because someone says the data is accurate doesn't mean it actually matches reality. That's the whole point of accuracy - the data has to be objectively true, not just reported as such.
I dunno, guys. I was kind of leaning towards B. I mean, if the person collecting the data says it's accurate, then doesn't that kinda make it accurate? Isn't that what we're going for?
Exactly, C is the only one that really captures the essence of accuracy. The other options are more about secondary factors, not the core meaning of the term.
Yeah, I agree. A and B seem more about the reliability and reporting of the data, not the accuracy itself. And D is just about the precision of the data, not the accuracy.
Hmm, this is a tricky one. I think the answer has to be C - the data matching the true values of the events or behavior measured. That's what accuracy is all about, isn't it?
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