Tagged Questions
0
votes
2answers
66 views
Pearson correlation is not significant although effect is .30 What could be the reason?
I have a correlation between two variables of 0.30, hence a medium effect. but it is not statistically significant and I want to report the reasons for that. looking at the test statistic I see that ...
1
vote
0answers
21 views
Literature to support effect size over significance
In a large sample (N = 3,265,506 for my study) tests are always significant. Is there an article in the literature I can cite to justify using effect size instead of significance testing?
1
vote
2answers
180 views
What is the most appropriate way to test significance of effect difference across two groups?
Here is the question: After running two separate OLS regressions, one for each group (male vs. female), we get coefficient b1 for a specific IV in "male" regression, and coefficient b2 for the same IV ...
3
votes
1answer
135 views
Am I using the wrong statistical test?
I am using $\chi^2$ to analyze a set of data gathered over 4 time periods. The two variables are independent--each 'event' is categorized as 'good' or 'bad'. We want to prove that the intervention ...
3
votes
0answers
157 views
How to assess whether two treatments are significantly different using Cohen's d (effect size)?
Cohen's d is a measure of effect size calculated as:
$d = (x_1-x_2) / \sigma_{\text{pooled}}$
where $x_1$ is the mean of one group, $x_2$ is the mean of a second group, and $\sigma_{\text{pooled}}$ ...
4
votes
3answers
477 views
Effect size and statistical significance
Using Cohen's d, I am getting small amd medium effect sizes for results that are statistically non-significant (p>.05). Does this make sense?
12
votes
1answer
41k views
How to interpret and report eta squared / partial eta squared in statistically significant and non-significant analyses?
I have data that has eta squared values and partial eta squared values calculated as a measure of effect size for group mean differences.
What is the difference between eta squared and partial eta ...
9
votes
3answers
441 views
What does it mean for a study to be over-powered?
What does it mean for a study to be over-powered?
My impression is that it means that your sample sizes are so large that you have the power to detect minuscule effect sizes. These effect sizes are ...
