GPA
|
comments
|
9
|
54
|
9
|
24
|
9
|
6
|
8
|
38
|
8
|
30
|
8
|
29
|
8
|
21
|
8
|
11
|
8
|
10
|
7
|
26
|
7
|
22
|
6
|
18
|
5
|
19
|
5
|
17
|
5
|
6
|
4
|
0
|
3
|
17
|
P. Correl:
|
0.458
|
GPA = the Grade Point Average (explanation here) for your academic assignments so far.
comments = the total number of blog comments to date.
P. Correl: = the Pearson coeffecient. It's a measure of the correlation between two sets of data. The data sets here are very small, so we should not put too much importance on this statistic; however, it does show a positive correlation between quality of academic writing and number of blog comments.
Of course, whether and in what direction there is any causation requires a more sophisticated statistical analysis to establish. I have some guesses, but like my belief discussed on Leo's latest post, I don't have any solid support for those guesses: they seem very reasonable to me, but might be completely wrong. I suspect that P and perhaps a couple of others can tell you more about that the statistic here means, and does not mean. Bank and Pueng probably also have some constructive comments here.
I am very interested in the statistical result of correlation between GPA and the number of comments. As you mentioned, I do agree with you that we need to think that what does this result mean and does not mean first. If I am not wrong, by the definition of the Pearson’s correlation, if the Pearson coefficient is greater than zero, it means that two variables have correlation in the same way, which can be interpreted as the GPA is high if and only if the number of comments is also high. In contrast, if the Pearson coefficient is less than zero, it means two tested variables have correlation in the opposite way. And, in case that the Pearson coefficient is zero, there is no relation between tested variables.
ReplyDeleteTherefore, I think that the statistical testing by Pearson coefficient can tell us about the direction of the relation either it is in the same way or the opposite way, but it doesn't guarantee that the more you comment, the more GPA you get or vice versa because there are numerous factors that doesn't take into account. In my perspective, I think the statistical result seems reasonable to my belief too. As we known, the number of comments reflect the hard work but the GPA reflect how you performance. If we put long hours, it should improve your performance. It's obvious, isn't it?
I think that there might be a problem with “the statistical result seems reasonable” means later for sure. For example, Why do I think it reasonable? Now I still have no idea about it. >.<
DeleteActually, I’m curious that why Pearson coefficient was selected to analyze the correlation. I think that there might be other statistical method to do that too. May be supporting for the statistical tool might also be important as well.
DeleteI have studied statistic and interpreted Pearson coeffecient, but I forget most of it. Pearson coeffecient is 0.458; it shows us that there're 45.8% that amount of comments positively related to GPA --it means more you comment, more GPA you got.
ReplyDeleteI think it's true, because when we comment, it means we're practicing our skills. And the one who practice more, got more skill, and definitely more GPA.
On the other hand, I noticed that there is one people that got highest GPA, but he has only 9 comment. In this case, I still think that he got to practice himself somewhere else. Nobody can be good at anything without practicing.