ANOVA results interpretation from SPSS & write up in APA.

This video teaches you how to read (interpret) the output boxes for BOTH a between-subjects and a within-subjects ANOVA in SPSS. Followed by examples (color-coded) of how to report the results in APA.
Music by Bill Davies: Stomp
/ tonecarver

[@vickisud6502]

Thank you for taking the time to make this video! The color-coded "results" example is especially helpful!

[@MissCharliH]

Thanks!! Glad it helped 🙂

[@ladeemahogany]

Thank you so much for this video! I am actually rewatching it for the 2nd time since last week. I was getting C's on my assignments until now. Last assignment I received an A because your explanation is perfect! Much appreciated!

[@mintesnotfentahun]

good nice to meet you. please give me if you have materials

[@mosessimiyu-rc5pe]

Impeccable teaching skills even before i finish viewing the video

[@MissCharliH]

Thanks for the compliment! Glad it helped!

[@felixkulelogo7738]

I couldn't thank you less. you are really a teacher, you opened me

[@Football_ball918]

Thank you so much for taking time to record this video. It's clearly explained 😍

[@annadoka9751]

Thank you very much for this explanation! I've been banging my head against a wall, this explains everything perfectly.

[@glendadomingo1077]

Thank you very much. The way the slides were organized and test results were color coded made it so much easier to understand how to interpret the tables; and write APA style statistical test such as Anova. So beginner-friendly. All the best, Dr. Hibbert!

[@MissCharliH]

Thanks! Feel free to check out some of my other videos if you need them...

[@kathleencharlihibbert73]

Glad you enjoyed it Glenda!

[@4staridiot]

Awesome, Fabulous, Stunning and Perfact detail of Interpretation.... Slam from Pakistan

[@t.m.valadares4623]

Thank sooooo much

[@primaryfrench1380]

thank you ! this is so clear !

[@apurwadhoke4602]

Thank you so much... i have been looking for explainations related to repeated measures ANOVA tests.... your way of explaination is also very impressive. i got every details from this video... very thabkful

[@MissCharliH]

Awesome! Thanks for the compliment. Happy ANOVAing!

[@niahowells4729]

You just saved my degree❤️❤️❤️

[@aftabhussain5858]

Well explained

[@mairoferreira7924]

Saved my life, thank you!

[@mairoferreira7924]

Like really, best demonstration on youtube. Thanks again.

[@kathleencharlihibbert73]

Thanks Mairo!!

[@dabaabdissa1474]

excellent

[@SAM46323]

how to find A fix B in F value ?

[@mintesnotfentahun]

thank you very much for your clear presentation. but there are two - and + mean differences eg. -826 and +826 . which line is taken.

[@MissCharliH]

When interpreting either line (they are the same information)- you want to look at the p-value to determine if it is less than the alpha level (often it is .05). The p-value showing as .000 is a very small number that should be reported as less than .001 (p < .001). There is not a reason to report the mean difference typically, but if you need to, I would suggest treating that number as an absolute number. The reason why you see the difference in sign is because the top line takes the mean of HS and Below (2.38) and subtracts the mean of Some College (1.55): 2.38-1.55 = .83 (they didn't round). And the second one starts with the mean of Some College and subtracts the mean of HS and Below (1.55 - 2.38 = -.826). So the plus or minus is only determined by the order. But the absolute value in the difference between the two is the same. So in answer to your question - either line is ok - they are the same information. Hopefully, that makes sense- feel free to reach out if it is still unclear.