I added your request to my list of upcoming videos. I will have one on mixed models in ANOVA - a repeated measures ANOVA with a between subjects factor. Hopefully that will help. Cheers.
Your data set is just the numbers from your research. You can set your significance level at .05 or at .01 for a specific test (like correlation or a t-test). In SPSS , the default in .05, but there is usually a setting where you can adjust it depending on your test. Good luck
Where did you get r^2 effect size that made you state a conclusion that the level of burnout that the counselor experienced accounted for a large portion (42%) of the variability in job satisfaction?
That was from my dissertation. I don't think the example was part of this video. That was illustrating how you would write up such a finding in APA style
Excellent video, I learned a lot. I just have one question. How would you make the correlation matrix with values for male participants above the diagonal and with values for female participants below the diagonal?
That is a GREAT question. I think that I would use the format with three rows and columns for each variable. I would report one set of correlations for the overall, then one each for male and female. Remember that you would be reporting a point biserial correlation. Report exactly what the software gives you, but it is technically a different test.
You, as the researcher, select the significance level and it can be any level that you choose. That said, the most common and acceptable levels are .05, then .01 and .10. If you choose significance levels other than those conventional levels, you should explain why in your write-up. Choosing .05 is the safest and most common.
Very comprehensive tutorial! It helped me a lot in my assignment. Will be watching more from your playlists. Thank you!
Thank you so much for your video!
You are so welcome!
How did you identify null, alternative and the level of significance?
Please please please make a general linear mixed model for germination data or eggs hatching or something along those lines.
I added your request to my list of upcoming videos. I will have one on mixed models in ANOVA - a repeated measures ANOVA with a between subjects factor. Hopefully that will help. Cheers.
hello can i delete the number on the heatmap box? so it just showed colors
Hello! How do I create a data set with p < .05 and p < .01, sir? 😊
Your data set is just the numbers from your research. You can set your significance level at .05 or at .01 for a specific test (like correlation or a t-test). In SPSS , the default in .05, but there is usually a setting where you can adjust it depending on your test. Good luck
Where did you get r^2 effect size that made you state a conclusion that the level of burnout that the counselor experienced accounted for a large portion (42%) of the variability in job satisfaction?
That was from my dissertation. I don't think the example was part of this video. That was illustrating how you would write up such a finding in APA style
@@ResearchByDesign thanks for a quick reply!
Hi, I appreciate your videos. I would like to ask whether we need to have the write-up of the assumption test before we explain the correlation?
thank you 😄
Excellent video, I learned a lot. I just have one question. How would you make the correlation matrix with values for male participants above the diagonal and with values for female participants below the diagonal?
That is a GREAT question. I think that I would use the format with three rows and columns for each variable. I would report one set of correlations for the overall, then one each for male and female. Remember that you would be reporting a point biserial correlation. Report exactly what the software gives you, but it is technically a different test.
Please we need SEM MODLLING ...
I do not see the jobsatisfaction.csv file in the Google Drive folder!
I added that CSV. Should be there now. Thanks
How do I set the significance level, sir?
You, as the researcher, select the significance level and it can be any level that you choose. That said, the most common and acceptable levels are .05, then .01 and .10. If you choose significance levels other than those conventional levels, you should explain why in your write-up. Choosing .05 is the safest and most common.