Main and Interaction Effects in ANOVA using SPSS
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- Опубліковано 25 лип 2024
- This video demonstrates how distinguish and evaluate main and interaction effects in a two-way ANOVA using SPSS. A main effect represents the effect of one independent variable on a dependent variable and an interaction effect represents the effect of multiple independent variables simultaneously.
This just made my data analysis for my thesis 100000x easier. Bless your soul sir, bless your SOUL.
this is the only channel that i go-to for both entertainment and help with my school assignments
i have watched a number of the videos and Todd explains these issues incredibly well. thank you
The video helped to explain why interaction effects are important. It is interesting that you can have the two levels of the independent variable not significant but the interaction effect is significant.
This video did a good job explaining how the effect of multiple variable. I will be incorporating both the main and the interaction effect into my paper.
This was very helpful to see the interaction effect that would have been missed otherwise.
Dear Sir, your video has helped me more than any others to carry out my research. God keep you in a good health and healthy life. More videos on ANOVA, manova.
Great breakdown of ANOVA's value as a statistical test.
Explains every step in an understandable, clear manner. Very helpful. Thank you!
You're welcome, thank you for watching
Thank you, helped me a lot!
Thank you Dr. Grande, you have helped me a lot.
My Biostatistics professor at UNMC has recommended your videos for both Biostatistics I & Biostatistics II.
Thanks Dr. Grande, your video was super helpful!
Amazingly helpful
Thank you. very helpful
just great Todd thank you
You're welcome -
sir i love you so much thank you 😭💜
I'm going to have to watch this several more times....
same
Thank you very much for this video! I want to test an interaction between a categorical predictor (3 levels) and a continuous predictor. This would be ANCOVA, but I don't know how to interpret the results. Can I do it the same way you do it here?
this helped me so much THANK YOUUUU
You are quite welcome!
Thank you Dr Grande for making this video. Is it also true that by using ANOVA the risk of making a type 1 error is reduced?
Helpful, thank you!
Your video just solved my problem. Thank you so much.
Thanks doc you are great
THanks!
Dear Todd, thank you very much for this great video. However, I habe a question regarding group comparisons. For instance, If I would establish a hypothesis that for the individual program, males have higher symptons than females. Is it possible to test this? Or do I have to conduct t-tests for that?
thanks very much!!!
thank you
Thank you for the video, could you also say what the error displayed in the test of between subjects table indicates?
Thanks for your helpful video! I have the same result with my data. I wonder whether it is possible to have insignificant main effect and significant interaction effect. How do we intepret the results? Because at this time, the effect of indedent variable is not significant in both groups of the moderator. So, is the result of significant moderating efffect still meaningful for implications? Please help!
I have a question that after running 2 ways ANOVA and we got a significant interaction effect. Then how can we do the post hoc of that interaction to present them in the form of letters above our graph?
Hi,
Great video. However, how do we test interactions if the assumptions for ANOVA are not met? Is there any nonparametric equivalence for it? Is this possible to be done in SPSS?
Thanks!!
thanks!
Can I ask please, if we found statistically significant interaction effect between two variables, how does that affect our decision to include them in a regression model?! Do we adjust for them? Do we remove them?
very helpfull
Thank you -
What if we find no statistical difference for all of the effects (main & interaction)? Do we have to report them and how do we do that? Thanks
Hi, I'm so happy to see this video I was just thinking about doing that test, but I'm not sure I have enought people. I have +/- 50 people, on two dicotomus (yes no variable) and on continus (p.0 a 0,50)? Is it enought pr should I do like two t test or just the main effect of two-way anova without the interaction?
+Exa S You should go back and review your basic statistic skills before proceeding!
.....
great explanation !i appreciate it,thanks!
can i have this data please?
I always come to Dr Todd Grande when I have any confusion with my statistics
What if you have more than 3 variables? Do you just make combinations for all interactions? I noticed if you add more it changes 2 way interaction p-values.
This is helpful but one that needs to be watched a few times
Hello,
I very much appreciate your help with this as I am working on my dissertation and had a problem understanding this.
I do have a question if you have the time and interest? If you are doing a 3 way anova (to account for two confounding variables -categorical-) and in the Test of Between Subjects Effects box the only significant result was your primary Independent variable (no other significant interactions), but in the independent variable (in this case, a confounding variable) section box further down their is a significant difference between the groups, such as gender, should you ignore this? (I'd presume so based on the video).
The second question is whether I would report the interaction between the two independent variables that are really confounding variables, or should it only be the main effect between the independent variable (primarily tested) on the dependent variable? (I'd presume only significant main effects, ignoring the two confounding variables together?)
Thank you very much, I genuinely appreciate your time and if I can help your channel in some way I'd be happy to!
I have no idea why SPSS didn't report the significance for one independent variable and interactions between variables. I have conducted calculations step by step introduces in Your movie... :(
Hi!
I need help with reporting the results.
In my study, Path a, b, c and C' all are significant in the Hayes mediation model 4.
However, the effect size of path b (M on Y) is .08 , path c (X on Y is .05 ) and path a (X on M is .3)Also the c' has increased instead of decreasing or being zero.
I had earlier reported
The results showed a significant indirect effect of X on Y via M (b= -.1267, 95% BCa CI [-.1997, -.0556]).
Indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
M.COM -.1267 .0357 -.2007 -.0587
Normal theory tests for indirect effect
Effect se Z p
-.1267 .0340 -3.7263 .0002
The moderation effect at three levels of M were also significant.
F (3, 479) = 17.28, p < 0.001, R2= .0977), but with a very small effect size.
At all three levels of M, there was a significant relationship between X and Y . For example, at low levels, (b= .29, t (479) = 5.06, p