Great video (as usual). RUclips has way too many videos on how to run various statistical tests in different statistical software packages, but far too few videos on which test you should be using and/or which assumptions need to be met before you run any tests. Keep up the good work
I have a data set of 2000+ with extremely negatively skewed results. I want to attempt to find significance when looking at several categorical sets against a score. I tried your video on Kruskal and the homogeneity was significant. Would Welch be the best option for this data or something else? I'm having a difficult time determining what test would be most valid.
Hello, greetings. I am conducting study via quasi-experimental pretest-post test non equivalent control group design. It is evident that this research design already violated one of the assumptions of simple random sampling. Am I going to employ non- parametric tests for such violation?
Great video (as usual). RUclips has way too many videos on how to run various statistical tests in different statistical software packages, but far too few videos on which test you should be using and/or which assumptions need to be met before you run any tests. Keep up the good work
Thank you for the video. Very glad to hear Ron Serlin, who was my first doctoral adviser.
Thanks so much. You videos always explain very well.
Excellent video
I have a data set of 2000+ with extremely negatively skewed results. I want to attempt to find significance when looking at several categorical sets against a score. I tried your video on Kruskal and the homogeneity was significant. Would Welch be the best option for this data or something else? I'm having a difficult time determining what test would be most valid.
Hello, greetings. I am conducting study via quasi-experimental pretest-post test non equivalent control group design. It is evident that this research design already violated one of the assumptions of simple random sampling. Am I going to employ non- parametric tests for such violation?