This is a really really good video, everything is presented in a very clear and easy to understand manner, and in a logical sequence! Thank you and keep up the awesome work NurseKillam
I am really thankful for this video. This is very helpful for me to teach the students in my research methodology class. This is very clear. Thank you very much.
+Applied Tutoring Yes, that was an error on the slide. I put an annotation on the video but it may not show on all devices ... I could fix the video but I haven't because I do not really want to delete this one. Maybe I should but then anyone who has linked to this video won't have the link anymore.
Hi. If you comment ADF unit root test and Hosmer Lemeshow Test, I will understand.ADF test H0:there is unit root H1:no , hosmer lemeshow test h0:model is suitable for data h1:not. Both of them is not powerful test?Or only hosmer lemeshow is not powerful? Because hypothesis of the test are opposite. Desired situation is H1 in ADF test but desired situation is H0 in Hosmer Lemow test.Thanks
Pilot studies are under powered due to the sample size. However, there are many nursing research studies that are pilot studies and it is difficult to find any follow-up studies of sufficient size to effectively "prove" a relationship between the intervention and the problem the researcher is trying to effect. How do we effectively critique a pilot study? Thanks so much!
+Lisa McGuire that might be because of how much the research costs to do with an adequate size. I'd critique the study almost the same way as a good one but make a big deal about the sample size, power and potential for error. The only thing you can really get from it is a rationale to do a follow up study.
Sorry, im doing a critique exam soon. Docyou have any advice as to where i can find examples on critique exams or reviews. ? What if the researcher in their article doesn't guve a clear statement of doing a power analysis? Or doesn't say it at all so determine if their sample size was adequate ? What would you say based off that? Or look for to see if it was enough people even though they never stated it.?
+msCHIevous94 I teach an entire course on how to critique articles and there is a lot to consider. I do not know where on the Internet you can find an example of a critique exam. To focus on power analysis - Basically I tell my students that the researcher should describe what they did. If they used all the appropriate numbers as described in the video you can say they justified their sample. If they did not I would talk about why that is a problem. Basically without knowing how they determined sample size you can say there is a possibility that there would be error in the study.
So statistical significance means there is enough evidence to reject the null right? So would it mean that whatever you calculate is supposed to be greater than the critical value (0.05) for me to reject the null right? Doesn't the decision rule in statistics state that the observed value should be greater than or equal to the critical value to reject the null. So 1.76 > 0.05 so reject the null? Is P 1.76...and if it is wouldn't it be P > alpha? And due to chance always confuses me. You don't want it to happen by chance right? You want the results for your alt. hypothesis to be consistent so that there is enough evidence to prove it and only by a small chance of 0.05 will there be a time the "null" happens? Help me :(
Thanks Nurse Killiam, I'm a graduate student in the neurosciences and I can tell you, some of my professors need to watch this video! LOL!
UA-cam is a great in class teaching tool!
This is so clear! I wish you were my lecturer for psych stats! Thank you!!
The last slide on power analysis should have the significance level at 0.05, not 0.5.
This is a really really good video, everything is presented in a very clear and easy to understand manner, and in a logical sequence! Thank you and keep up the awesome work NurseKillam
Thank you! I'm happy to hear it.
NurseKillam what a breath of fresh air! This video was excellent instruction! Thank you so much! It means more than you know.
There are no words for how beneficial this video was. Thank you!!
Awesome to hear. Thanks.
I am really thankful for this video. This is very helpful for me to teach the students in my research methodology class. This is very clear. Thank you very much.
Great great great!!! I soooo need your ebook! This was a great video, helped me to understand a lot and Lord knows I need it in this research class!
Good to hear. I hope you like the book.
Awesome to hear!
Does anyone else get super excited when they finally understand research methosa !? 🥳🥳🥳🥳
Great communication style! Question: in the last 20 seconds of the video you said, alpha size is usually 0.5, but isn't it usually 0.05?
+Applied Tutoring Yes, that was an error on the slide. I put an annotation on the video but it may not show on all devices ... I could fix the video but I haven't because I do not really want to delete this one. Maybe I should but then anyone who has linked to this video won't have the link anymore.
This confused me too
Hi. If you comment ADF unit root test and Hosmer Lemeshow Test, I will understand.ADF test H0:there is unit root H1:no , hosmer lemeshow test h0:model is suitable for data h1:not. Both of them is not powerful test?Or only hosmer lemeshow is not powerful? Because hypothesis of the test are opposite. Desired situation is H1 in ADF test but desired situation is H0 in Hosmer Lemow test.Thanks
simplest explanation of the complex research stat. Thanks for your efforts.
You are welcome. I'm happy you liked it.
Pilot studies are under powered due to the sample size. However, there are many nursing research studies that are pilot studies and it is difficult to find any follow-up studies of sufficient size to effectively "prove" a relationship between the intervention and the problem the researcher is trying to effect. How do we effectively critique a pilot study?
Thanks so much!
+Lisa McGuire that might be because of how much the research costs to do with an adequate size. I'd critique the study almost the same way as a good one but make a big deal about the sample size, power and potential for error. The only thing you can really get from it is a rationale to do a follow up study.
What are the approaches for Statistical Power Analysis?
What is the relation between type 1 error type 2 error ,sample size ,effect size , statistical power, hypothesis one tailed and two tailed
Good and easy to understand Video really helped me with my Masters Nursing Research Class! Thanks!
Awesome to hear. You are welcome :)
Congrats ricardo rodriguez! 👍🏼
Sorry, im doing a critique exam soon. Docyou have any advice as to where i can find examples on critique exams or reviews. ? What if the researcher in their article doesn't guve a clear statement of doing a power analysis? Or doesn't say it at all so determine if their sample size was adequate ? What would you say based off that? Or look for to see if it was enough people even though they never stated it.?
+msCHIevous94 I teach an entire course on how to critique articles and there is a lot to consider. I do not know where on the Internet you can find an example of a critique exam. To focus on power analysis - Basically I tell my students that the researcher should describe what they did. If they used all the appropriate numbers as described in the video you can say they justified their sample. If they did not I would talk about why that is a problem. Basically without knowing how they determined sample size you can say there is a possibility that there would be error in the study.
Thank you for posting this! This video was extremely helpful in my current class
Courtney H.F. Awesome! I am happy to hear that :)
How does power analysis determine the sample size for an unknown population?
Hi, How affect the sample size the type 1 error?
it really helped me a lot. Thanx NurseKillam for this wonderful job!!!
I'm happy it helped
So statistical significance means there is enough evidence to reject the null right? So would it mean that whatever you calculate is supposed to be greater than the critical value (0.05) for me to reject the null right?
Doesn't the decision rule in statistics state that the observed value should be greater than or equal to the critical value to reject the null. So 1.76 > 0.05 so reject the null? Is P 1.76...and if it is wouldn't it be P > alpha?
And due to chance always confuses me. You don't want it to happen by chance right? You want the results for your alt. hypothesis to be consistent so that there is enough evidence to prove it and only by a small chance of 0.05 will there be a time the "null" happens? Help me :(
Thanks for your nice lecture
how does power analysis lower the chance for a type one and two error?
It tells you how large of a sample you need to reduce error. I think I talked about that in the video.
could you please help me to determine the sample size???
Have you done a power analysis? I talk a bit about how to know what the sample size is in this video but you'll find more detail in a stats book.
Nice explanation! thank you
Thank you for making this helpful video.
I'm still unsure how to calculate the effect size.
+Jenn Jones Clinkscales it should be listed in your paper.
thanks, for following up!
Yay I love this video! Thank you so much!
thank you so much,,,it clear all about power and effect size..
This is so much fun :) thank you guys :D
I'm happy it is fun :)
thanks nurse you're great
Thank you for watching
This is awesome! Thank you
Very good video.
+Manuel Sanchez Thank you :)
Great video!
Thanks
Great job!
Thank you
YOU are and ANGEL!!!!!! Thank you!
No problem! Anything else I can help with?
sooo helpful! thank you thank you
You are welcome :)
thank u.it was helpful.
Good
an you please help in in my assignment
thank you :)
awesome explanation
Thank you
Lol did you hire Mila Kunis to narrate?
Nope. I do my own videos :)
NurseKillam You sound just like Mila Kunis! If ever you need a sideline... :) Great video btw