Hello, I had a problem determining the type of test for my survey which the research is about the relation between video games addiction and physical functioning. I understand that we need to use pearson or pearman for our test. The problem is how do I can identify a suitable test for the video games addiction variable and physical functioning. For the game addiction scale, it has 7 DV and for physical functioning it has10 DV.
Corrrelation problems
- Thread starter kasy
- Start date
You can aggregate the items and thereby create 2 variables, and then you can use Pearson or Spearman to
analyse the relationship between the two aggregate variables.
But I do not know anything about your items, your variables, research questons, study design, sample size
etc. so it is just a guess.
With kind regards
Karabiner
analyse the relationship between the two aggregate variables.
But I do not know anything about your items, your variables, research questons, study design, sample size
etc. so it is just a guess.
With kind regards
Karabiner
Hello, I have a probably very easy question.
I calculated Spearman's correlation for several different combination of variables. In some cases, the correlation is low, for example 0.20 (which would mean that variables are not correlated), but the sig. is lower than 0,05 (which would mean that correlation is significant). If H0 is "there is no correlation", while H1 is "there is correlation between variables", how should I interpret results. If I look Sig. I would need to reject H0 and conclude that there is correlation between variables, but if I look at the Spearman's coefficient the conclusion should be that there is no correlation. At the same time, I have a case (different sample - not the same as in my first example) where correlation is 0,40, but sig. is higher than 0,05. Is that mean that I should accept H0 (there is no correlation), even if the correlation is 0,40?
I calculated Spearman's correlation for several different combination of variables. In some cases, the correlation is low, for example 0.20 (which would mean that variables are not correlated), but the sig. is lower than 0,05 (which would mean that correlation is significant). If H0 is "there is no correlation", while H1 is "there is correlation between variables", how should I interpret results. If I look Sig. I would need to reject H0 and conclude that there is correlation between variables, but if I look at the Spearman's coefficient the conclusion should be that there is no correlation. At the same time, I have a case (different sample - not the same as in my first example) where correlation is 0,40, but sig. is higher than 0,05. Is that mean that I should accept H0 (there is no correlation), even if the correlation is 0,40?