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Statistics gpower correlation sample calculator
Statistics gpower correlation sample calculator









statistics gpower correlation sample calculator

I wish to find out if there are differences in student achievement as measured by the course final grades (GPA) and final exam scores on whether a course was taught in an online, blended, or traditional format? If so, what are these differences? All of the three settings (web n=18 approx. However, I didn’t see an option to let me upload in this forum. I can send you my SPSS outputs if you want to see them. I’ve done A LOT of research before contacting you again and again. Would I conclude that there is not any evidence to say one setting did better than the other ? I am kind of weary of saying that b/c the T-Test (with normal) data should be believable right? With that being said, none of the test (T-Test and Mann U Test) p value is less than.

statistics gpower correlation sample calculator

In your last correspondence with me, you suggested that I use a the Bonferroni correction of. 018 which indicated there was a difference in the settings. I also performed at Mann Whitney U on the Web/Blended too (I was just curious about how the results would go) and it yielded the same results at the T-Test. If the blended and f2F performed the same (or better yet, no difference was found) and the web and f2f, performed the same too,…how did the Web do better than Blended from the T-Test Results? However, the results contradicted themselves. Both tested no difference in any of the settings. 23, two tailed) so I declared the web setting performed better than the blended on the final b/c their mean and median scores were above the blended setting results.īeing that the f2f setting was not normal, I performed a Mann Whitney U test on the web/f2f (P=.508, two tailed) and blended/f2f (P=.282, two tailed). Ultimately I wish to find out which setting performed better on the final.īeing that the Web and Blended data sets were normal and passed the homogeneity test, I ran a T-Test and it found that there is a difference in settings (P =. The F2F data is definitely left skewed (not normal). The Web and Blended course data are normal (I used visual graphs and the Sharpiro Wilks test). settings but took a very similar f2f final exam. Sorry about that.īrief background of setting: I have a blended, f2f and web course that all learned from diff. I also realized I didn’t give you all the background so you can help me better. I took your advice and now have an additional question. I simply find it really interesting and would like to understand a bit more.Ĭharles. It doesnt really matter that much for the dissertation, because the study has a lot of limitations. the biggest difference of BF% was seen in the groupes that had measurements between 2-3 years after started therapy.

statistics gpower correlation sample calculator statistics gpower correlation sample calculator

the difference of BF% before and after HT was the greatest in the group of bigger fat percentage.Ģ. I also played around with different diagrams, and could see thatġ. Ist in meaningful to use multiple regression in this case? Therapy duration in months( ranging from 24- 67 ) So I wanted to see how characteristics influenced the change of BF.ġ. Now I want to look at how inital bodyfat % and duration of hormone therapy (months) affect the measured bodyfat % after at least 24 months of therapy.įirst I did a paired t-test for the BF % and Bone density (which was also measured before and after therapy at the same time as BF) for the study population. I have 20 people in my study (How does Hormone therapy affect Bone density and Body Fat%).











Statistics gpower correlation sample calculator