00:01
All right, and this problem we have with reference to the above research problem, that's from question four, which design did you find appropriate? well, i don't have the actual problem that it's referring to, but i can give you some generic benefits of quantitative and qualitative, right? so quantitative has to do with what can be quantified, quantitative, and then qualitative has to do with its qualities, right? things that are more just inherent qualities instead of its enumerable, meaning it can be numbered.
00:35
All right, so quantitative would be like, of course, it's numerical, that's a good way of starting.
00:41
It's numerical, or you might say it's empirical, right? so it shows like a collection of data, right? data is a good way of thinking of it.
00:53
That can be statistically analyzed, right? so it's a statistical way of analyzing data.
01:02
However, it doesn't really capture a lot of nuance, right? so it's limited because it doesn't really show the humanity, right? the different qualities that humans have, and it's really easy to be manipulated due to the bias of the person who's collecting the data, okay? so they can spin a story and then they can make up numbers or spin the numbers or twist the numbers or present the numbers in such a way that just highlights their bias instead of the truth, okay? now, on the other hand, if we're talking about qualitative, then it gives you more of a complex level analysis, right? it can give you more, it's a little more flexible, right? because it's not quite as hard data oriented...