This was much easier to understand than reading it myself. I wish every class would have videos like this. Much of the time I can read things over and over and it just doesnt stick until someone explains it to me. Very helpful.
Dr. Grande- Thank you for taking the time to walk through these foundation concepts a little more slowly. Very helpful for those of us who have not had a stats course before! -Joshua Kreimeyer
This video provided clarity between parametric and nonparametric, I found it especially helpful when determining which to use for my current research proposal.
The table at 5:45 will be a good reference for me to look back on as I am trying to remember the different tests within Parametric Tests and Nonparametric Tests.
just came up with 2 acronyms to memorize both the non parametric and parametric tests so i thought I'd share both because they seem to help me: for parametric IPOO (Independent t-test, One-way ANOVA, One way repeated measures) for non paramettic would be: Mann Will Krush Fries. (Mann Whitney test, Wilcoxon-Signed Rank test, Kruskal-Wallis ANOVA, Friedman's ANOVA). Hope this helps :)
I don't know that I've ever had this explained this way before but it definitely helps understand the difference between the tests, particularly as it relates to the assumptions of each.
All the examples and criteria are good to know when choosing either a parametric or nonparametric test. The final slide is a useful comparison to know the correlation between the tests.
I was looking for an extensive video on the various tests and their purpose given to specific research design. Thank you for starting this ongoing conversation!
It was good to learn that parametric tests are more powerful and more likely to detect true differences. It will also be good to know there is a higher chance of producing a type II error. I also appreciated the table of different parametric and nonparametric statistical tests.
I am impressed also! My Biostatistics professor has posted some Dr. Todd Grande YT videos to explain SPSS concepts. He explains so well. Now I listen to Dr. Grande for all statistical explanations and after studying I can listen to his psychological analyses.
When learning about statistical analyses in the past, I have always been confused as to when to use nonparametric tests so this video was helpful in explaining when it is useful to utilize nonparametric tests. Additionally, I found the chart of corresponding parametric to nonparametric tests to be helpful as I am often unsure of which nonparametric test goes with which parametric test.
Sharing the potential types of parametric statistical tests such as independent samples T-test, and one way ANOVA was helpful. There was distinction made between characteristics of the parametric statistical test and non-parametric statistical test.
Interesting. I liked how the assumptions were broke down and that it was highlighted that the tests you would use depend on which assumptions are met. Am I correct in understanding that your data determines which test you would use; parametric or non-parametric.
Parametric and non parametric tests are very different and what I can take away most from the video is that there are corresponding tests if one parametric test does not produce enough into to provide results. Parametric tests seem to be preferred in counseling because statistically they will detect a true difference in data.
Each parametric test has its own set of assumptions. Common assumptions include normally distributed DV, absence of outliers, and homogeneity of variance.
Hello Doc. Todd May I ask this questions? 6. Provide the assumptions for the use of each parametric test and its non-parametric equivalent. What statistical tools could help us determine these assumptions?
Dr Grande, I have some data that is normally distributed in all but category. Can I run a 2 way ANOVA anyway, as the other categories fulfil all the assumptions of the ANOVA, and mention that one cateogory in my limitations? Unfortunately that one category is one of the ones I'm most interested in. I hope you can help? Many thanks for your video. I wanted to run non-parametric tests but from your video I'm not sure if the data fulfils the requirements for the non-parametric test either. Cherry
Are/Is there any example(s)/solution on each test and an explanation on how to check the criteria (normal distribution, homogeneity of variance etc..) before deciding on which test to use?
Thank you for the lecture but I have a bit of a doubt. If I have 2 independent variables and 4 dependent variables, I would have to use 2 way ANOVA. However, if the data is not normal, as ANOVA is a parametric test, I cannot use it. What test do you suggest I use?
How do you do regression and other analyses using continuous data as dependent variable and nonparametric variables (i.e., ordinal data) as independent variables? For instance, I have maximum price buyers are willing to pay for a product as the dependent variable (Y) and the factors considered [ordinal data; ranked from very important (1) to not important (4)] as the independent variables (X1, X2, X3...). Wondering how I can do analyses on such data. Thank you in advance!
Thank's alot, but I have a question, ANOVA is not used if the data has unequal variances, and you say that also Kruskal Wallis test assumes equal variances, so which statistical test can be used to compare 3 groups of data without equal variances?
Question please . If testing 4 variables against 1 variable. All variables are parametric except 1 which is nonparametric. Can I test parametric against non parametric variable with man- Whitney independent test
Really great videos - thank you - does anyone know w hat inferential statistics can i use for a categorical data from one sample - just looking at relationships between variables
For inferential statistics, the probability of a Type I error is determined by the researcher. The probability is equal to alpha, which many researchers in the social sciences set to .05 (5%).
Hiii, I need a response quick as my coursework is due on Monday. I’m comparing the effects of 2 different drugs on pupil diameter over a period of 42 minutes. I need to see if the results are significant, which test d I use?
This was much easier to understand than reading it myself. I wish every class would have videos like this. Much of the time I can read things over and over and it just doesnt stick until someone explains it to me. Very helpful.
Dr. Grande- Thank you for taking the time to walk through these foundation concepts a little more slowly. Very helpful for those of us who have not had a stats course before! -Joshua Kreimeyer
I have had confusion concerning this 2 items for over a year now. I'm just relieved after watching this video.
Thank you so much.
This video provided clarity between parametric and nonparametric, I found it especially helpful when determining which to use for my current research proposal.
The table at 5:45 will be a good reference for me to look back on as I am trying to remember the different tests within Parametric Tests and Nonparametric Tests.
just came up with 2 acronyms to memorize both the non parametric and parametric tests so i thought I'd share both because they seem to help me: for parametric IPOO (Independent t-test, One-way ANOVA, One way repeated measures) for non paramettic would be: Mann Will Krush Fries. (Mann Whitney test, Wilcoxon-Signed Rank test, Kruskal-Wallis ANOVA, Friedman's ANOVA). Hope this helps :)
This helps. thank you very much!
Gemster V thbank youuuu!!!!
very helpful
Good idea. Mnemonics help to remember easily 👍
I like it... great addition to what Dr. Grande has presented... Thank you
I don't know that I've ever had this explained this way before but it definitely helps understand the difference between the tests, particularly as it relates to the assumptions of each.
I have never really talked about nonparametric tests in my statistics classes in the past. Great explanation of what they are and what tests are used.
Thank you Dr Grande. You got me through advanced statistics for my doctorate. I'm just at the edge of my ABD. Thank you!!!!
All the examples and criteria are good to know when choosing either a parametric or nonparametric test. The final slide is a useful comparison to know the correlation between the tests.
The description of what the requirements are for using a parametric test is very helpful.
I was looking for an extensive video on the various tests and their purpose given to specific research design. Thank you for starting this ongoing conversation!
I like the way you explain stats. Very clear and easy to understand.
Dr. Grande, Warm thanks for your detailed explanations of Parametrics and Nonparametric tests.
It was good to learn that parametric tests are more powerful and more likely to detect true differences. It will also be good to know there is a higher chance of producing a type II error. I also appreciated the table of different parametric and nonparametric statistical tests.
OMG i knew you from these statistic videos never knowing of your analysis video, just came across your jenna marbles video! you have a soothing voice.
I am impressed also! My Biostatistics professor has posted some Dr. Todd Grande YT videos to explain SPSS concepts. He explains so well. Now I listen to Dr. Grande for all statistical explanations and after studying I can listen to his psychological analyses.
I am new to this topic of parametric and nonparametric, I will definitely have to watch this a few more times to get it down.
Really informative as we move forward with our dissertations and of course comps!
When learning about statistical analyses in the past, I have always been confused as to when to use nonparametric tests so this video was helpful in explaining when it is useful to utilize nonparametric tests. Additionally, I found the chart of corresponding parametric to nonparametric tests to be helpful as I am often unsure of which nonparametric test goes with which parametric test.
Another good video that explains what tests to consider when approaching a research proposal.
Thanks Dr. Todd. I was getting really confused from the text and really appreciate your lecture. :)
Very helpful to have the design features and assumptions together and to have a comparative table of corresponding parametric and nonparametric tests.
The slide at 5:45 will be a useful chart for me to remember which tests are either parametric or nonparametric.
A pretty good explanation of the differences between these two types of tests. I still need to learn more about each individual tess.
This was a great precursor to reading out text on Parametirc and Nonparametric tests. Thanks
Sharing the potential types of parametric statistical tests such as independent samples T-test, and one way ANOVA was helpful. There was distinction made between characteristics of the parametric statistical test and non-parametric statistical test.
Excellent explanation of considerations for parametric vs. nonparametric statistical tests!
Thank you for this piece of information on parametric and non parametric test. This is quite helpful.
You're welcome!
This video was very helpful in processing the desired results.
Good example and descriptions between parametric and nonparametric tests and when each is used.
There are so many tests. I will have to reference this video for a while!
Thank you for making this so crystal clear!!~
I appreciate learning from your video clips so very muc!!~
You're welcome - thanks for watching.
Thanks for this introduction to Parametric and Nonparametric tests.
this video did a good job describing these test than the book
Simone Henry I agree. I can confuse myself very easily reading things from the text sometimes.
Interesting. I liked how the assumptions were broke down and that it was highlighted that the tests you would use depend on which assumptions are met. Am I correct in understanding that your data determines which test you would use; parametric or non-parametric.
These two types are helpful In determining distribution. I see the connection with normality distribution.
Parametric and non parametric tests are very different and what I can take away most from the video is that there are corresponding tests if one parametric test does not produce enough into to provide results. Parametric tests seem to be preferred in counseling because statistically they will detect a true difference in data.
i have to put this on 2x speed. The man speaks too slow.
I was falling asleep
Speed it up. Stop complaining. Its FREE what more do you want.?
Great suggestion!
Thank you for making this video
Dr. Grande - Thank you for this information. What is the process for determining if the assumptions have been met for parametric tests?
Each parametric test has its own set of assumptions. Common assumptions include normally distributed DV, absence of outliers, and homogeneity of variance.
Thank you - watching other videos helped me to understand better too!
This is lovely, nice to watch
This will be helpful to differentiate amongst parametric and nonparametric.
simplified and easy to follow thank you
Nice....had a quick revision🇮🇳
Thank you so much for your great teaching
Why interval and ratio scale come under parametric tes?
Thank you for this video, can you help me choose a nonparametric test equivalent to 2-way ANOVA?
Hello Doc. Todd
May I ask this questions?
6. Provide the assumptions for the use of each parametric test and its non-parametric equivalent. What statistical tools could help us determine these assumptions?
you can use distribution property
I am getting what I really need.
still confuse what interval or ratio level measurement means :(
Thank you Sir.
why haven't you mentioned 2 way ANOVA in the table? what is its corresponding non-parametric test? thanks
Very helpful video. Thanks!
Dr Grande, I have some data that is normally distributed in all but category. Can I run a 2 way ANOVA anyway, as the other categories fulfil all the assumptions of the ANOVA, and mention that one cateogory in my limitations? Unfortunately that one category is one of the ones I'm most interested in. I hope you can help? Many thanks for your video. I wanted to run non-parametric tests but from your video I'm not sure if the data fulfils the requirements for the non-parametric test either. Cherry
Are/Is there any example(s)/solution on each test and an explanation on how to check the criteria (normal distribution, homogeneity of variance etc..) before deciding on which test to use?
this actually helps, thankss
Very good learnings from you😃
Thank you for the lecture but I have a bit of a doubt.
If I have 2 independent variables and 4 dependent variables, I would have to use 2 way ANOVA.
However, if the data is not normal, as ANOVA is a parametric test, I cannot use it. What test do you suggest I use?
How do you do regression and other analyses using continuous data as dependent variable and nonparametric variables (i.e., ordinal data) as independent variables? For instance, I have maximum price buyers are willing to pay for a product as the dependent variable (Y) and the factors considered [ordinal data; ranked from very important (1) to not important (4)] as the independent variables (X1, X2, X3...). Wondering how I can do analyses on such data. Thank you in advance!
Thank's alot, but I have a question, ANOVA is not used if the data has unequal variances, and you say that also Kruskal Wallis test assumes equal variances, so which statistical test can be used to compare 3 groups of data without equal variances?
thank you doc for this video
You're welcome!
when you say statistical power, what are we typically measuring?
thanks for explained it was very helpful
You're welcome - thank you for watching.
thank you very informative
What is the equivalent non-parametric test for 2 way ANOVA? I have 4 independent groups and want to compare between these groups.
Question please . If testing 4 variables against 1 variable. All variables are parametric except 1 which is nonparametric. Can I test parametric against non parametric variable with man- Whitney independent test
I have data as mix model anova that consist of between subject and within subject..my data was not normal. So what non parametric test that i can use?
Really great videos - thank you - does anyone know w
hat inferential statistics can i use for a categorical data from one sample - just looking at relationships between variables
Very helpful, thanks.
Are there any non parametric test for multiple regressions?
thankyou for sharing
I don't understand what the assumption ''homogeneity of variance' means? Does anyone get it?
Very useful
could you share me with thesis on the same
¿do they have the same chance of having a type I error?
For inferential statistics, the probability of a Type I error is determined by the researcher. The probability is equal to alpha, which many researchers in the social sciences set to .05 (5%).
thanks for this video
Dr.sidra sent me here
Thank you
👏👏👏👏👏
Hiii, I need a response quick as my coursework is due on Monday. I’m comparing the effects of 2 different drugs on pupil diameter over a period of 42 minutes. I need to see if the results are significant, which test d I use?
had to speed this up a bit and watch :|
LOL!!
me too
No good sound ....Yuck
this is the worst video ever congrats