ANOVA Explained

ANOVA (or analysis of variance) is a statistical technique used to determine whether 3 or more samples come from the same population-or in other words, whether there is a statistically significant difference between them. ANOVA uses an F statistic, which is a signal-to-noise ratio and we can compare this to a critical F value at specific alpha levels. With a statistically significant omnibus ANOVA, you will need to conduct a post-hoc analysis to determine which group(s) are different. In this video I'll show you all this and more.
This lecture is part of a free video series covering introductory statistics in the context of kinesiology. More stats concepts and Excel, SPSS, and JASP tutorials here: bit.ly/2GOtjVf
TIME-STAMPS
00:00 - Intro
01:35 - ANOVA Definition
04:40 - Why Not Multiple t-Tests?
12:43 - Assumptions of ANOVA
14:47 - Sources of Variance
17:07 - Sum of Squares
18:38 - Degrees of Freedom and Mean Squares
20:00 - Example Data
25:14 - Statistical Significance
26:53 - Post Hoc Procedures
28:45 - Tukey’s HSD
31:15 - Effect size
32:00 - Omega Squared
32:32 - Where to Head Next
RESOURCES MENTIONED
Weir, J. P., & Vincent, W. J. (2020). Statistics in kinesiology. Human Kinetics Publishers.
amzn.to/3i5zyCT
#statistics #ANOVA #DrGoodin
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Whether you are a student or practitioner of human movement, sport scientist, or just need to brush up on your stats-thanks for checking out this video! It’s part of a playlist that covers introductory statistical concepts: from central tendency to ANOVA, all in the context of kinesiology and sport science. You can find that here: bit.ly/2GOtjVf
Or stop by my channel for complete teaching series on anatomy, kinesiology concepts, and sport science: bit.ly/2Rlg5kQ
Have a great day and remember to move well, live well, and lead well.
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MY OTHER PLAYLISTS:
Praxis of Strength Training and Conditioning - bit.ly/3tOJp5s
Statistics in Kinesiology - bit.ly/2OCyAU7
Kinesiology Concepts - bit.ly/3mgKy1K
Biomechanics Concepts - bit.ly/3iJzGHv
Structural Kinesiology - bit.ly/38MuIHg
At-Home Exercise Library - bit.ly/2DWbvGQ
At-Home Follow-Along Workouts - bit.ly/3k8OQqc
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Dr. Jacob Goodin is a professor of kinesiology at Point Loma Nazarene University (PLNU), and holds a PhD in Sport Physiology and Performance from East Tennessee State University. He has over a decade of experience as a strength and conditioning coach and sport scientist from the high school to NCAA Division I levels. In addition to his role as a professor and research mentor, Dr. Goodin directs the Athlete Monitoring Initiative at PLNU, which provides testing and monitoring services to over 200 athletes yearly as well as research opportunities for kinesiology students.
APPLY TO STUDY UNDER DR. GOODIN:
PLNU Undergraduate Kinesiology Program: bit.ly/33jA1KA
PLNU Graduate Sports Performance Program: bit.ly/3hs8Pyi
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[@rochellegore4832]

You weren't kidding about a full lecture! Lots of info in this video but super helpful.

[@vanessaviramontesPLNU]

Dr. Goodin,
I appreciate how to find the ANOVA by hand, it just makes inserting it all into excel so satisfying that allows you to be grateful for its existence .

[@Alana_0000]

Thank you explaining how ANOVA can be used to analysis three or more samples from the same population. I appreciate talking through every step because the examples provided help to get a deeper understanding.

[@ClaireStone-jq4wg]

I didn't realize there were so many steps! Thanks for going into depth each step.

[@JacobCampman]

ANOVA was confusing at first, but with all the examples it seems easy now. Thank you!

[@paytongoebel1666]

The sample calculations at the end are really helpful to see how an ANOVA actually works rather than just knowing what it is.

[@clairemasterson6031]

This video was very helpful in understanding ANOVA and extremely helpful for the assignment for the week!

[@aribhalla9820]

Thank you for making this video covering how to use ANOVA!

[@karatemplin]

Thank you for defining all of the letters on the degrees of freedom and mean squares slide. That helped me learn some new ones and was a good refresher as well.

[@xaviergamez5745]

This video was perfect for helping me better understand how to find the F value and what it meant to the data.

[@alannabergherm8046]

wowza that WAS a lot! but it was comforting to know that I'm not the only one confused! the example really helped me understand how ANOVA works.

[@Chasebowen23]

This video really cleared up the confusion i had about this chapter, Thank you as always!

[@sarahcox1788]

This video was helpful! I’m starting to see the progression between all of the different steps like t tests, significance, etc!

[@alanaguinaldo9146]

Another hefty subject but you made it clear and easy to understand as always! Thank you for making this video!

[@miadenava585]

Thank you for making these concepts more clear. This video was very helpful!

[@user-nf1vd4dp5e]

Thank you for a great video. The explanation of the turkey HSD really helped with the homework this week

[@amandahoward788]

appreciate all the videos, but especially this one for making the concept so clear. thank you!!

[@willhopkins4197]

Great video. I was a little confused at first but the examples helped clear that all up.

[@evakoutelieris9550]

I really appreciated how in depth everything was, thank you:)

[@KarinaBrambila04]

Thank you for explaining everything so thoroughly. I really find the use of the example data helpful because it helps me to gain a better understanding of how to go about this.

[@dimitricarrion105]

Once again, thank you for going over examples, especially the Tukey HSD which I had to go back to a couple of times.

[@crystalschaefer775]

Dr. Goodin, it was helpful to see the equations along with a example problem.

[@isabellecousineau302]

Thank you for explaining how to use ANOVA!

[@bojak76]

This IS confusing for me, however it makes me feel better to hear you say its confusing to everyone :)

[@jackmalone5800]

I liked how this video started by explaining when to use ANOVA instead of at-test because I think determining what test to use is the hardest part sometimes. I also appreciate how this video showed the significance of each step and how to solve without needing a statistical program like excel.

[@ryanharris8481]

Thank you for explaining this big topic in depth!

[@ellieconiaris9073]

ANOVA is definitely tough and confusing, but this video helps!

[@JosephBatres0000]

This video was helpful in explaining ANOVA.

[@jasonpena3556]

Thank you for the video on ANOVA, it was super helpful!

[@JulissanJuarez]

Thank you for such a well explained and detailed video!

[@haliacurammeng]

Thank you! The video really helped tie everything together!

[@BrianaReynoso]

This is a confusing concept for me, but I appreciate that I was taught the importance of every step.

[@crystalshaae4076]

thank you for the step by step video

[@madelinehernandez8838]

Wow, you're right... that was definitely a lot to digest. Thank you for the examples though it really helped.

[@jakegonzales1367]

Thank you for explaining these concepts in a clear and concise way.

[@alexdavidson294]

ANOVA is one confusing gal.. thank you for making a step by step video for us!

[@Knepperpepper33]

ANOVA can be somewhat confusing for me so thank you for making a step by step video for us!

[@caleighgarcia7792]

I really appreciate the sample ANOVA calculation so I can actually follow along and learn how to do them !

[@MarcioTasinafoJr]

tks! You are the guy!

[@lucamarin8565]

ANOVA always sort of confused me thank you for the in deptch analysis.

[@AlexBCarr]

Leave it to Dr. Goodin to make a confusing topic, such as ANOVA, understandable.
-Alex

[@austiniturbe4495]

Just when I thought finding the F score was the end, there was a table after 😔