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Results tagged with anova
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user 199063
ANOVA stands for ANalysis Of VAriance, a statistical model and set of procedures for comparing multiple group means. The independent variables in an ANOVA model are categorical, but an ANOVA table can be used to test continuous variables as well.
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Can I use ANOVA after clustering?
The key is to clearly distinguish between your indicator variables (the variables used in the clustering protocol) and the auxiliary variables (the dependent variables for the post hoc ANOVA and such). … It can be run as an ANOVA or as a multiple regression (where you use the probability assignments for each class as the predictor variables).
Hope this helps...happy to elaborate if needed. …
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A simple one way repeated measures anova did not give any results
Your sample size for a repeated measure would be ok...if you only had the treatment factor. This would give you 1 degree of freedom (the smallest possible). However, if you include the covariate, yo …
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votes
Which is the correct way to deal with insignificant main effect of Group condition? Stick wi...
Now, the interesting part is that RM-ANOVA is higher powered than your basic t-test. … But, the interaction might be significant in the RM-ANOVA. …
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Accepted
Is it still a factorial ANOVA when one independent variable is a continuous or ordinal variable
The first scenario described could be analyzed as a one between-factor repeated-measures ANOVA (where the pre and post is the repeated measure and the motivation classification is the between factor). … The second scenario would be two-way ANOVA where motivation and treatment are the factors.
In the first scenario, the dependent variable is the score (observed at pre and post). …
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5
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How do you find the sample size given R output that omits the degrees of freedom?
Yes, some of the output has been removed. And while it would be much more straightforward to obtain the sample size with the information that was removed, there is another way to obtain the requested …
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Accepted
Interpretting Interaction plots and significance
As there does not appear to be a difference in the "slope" of the lines for levels 1 and 2 (across either of the categorical variables), the next step is to look at a post hoc 2x3 ANOVA to see if there …
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0
answers
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Why is an alpha adjustment not required for factorial ANOVA?
When conducting a 2-way fixed effects ANOVA, there are essentially four null hypothesis statistical tests (NHSTs) that can reasonably conducted with just the ANOVA tables. … As an addition to this, I have the same question for general multiple regression models as well...but I thought it would be easier to present in the 2-way ANOVA context as a question on this forum. …
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Why is ANOVA non significant when 95% confidence interval of coefficient is for glm model in R?
However, with the anova(·) function, the order does matter (as the output indicates). …
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Is a 2-way ANOVA immune to Simpson's Paradox?
The advantage to the 2-way ANOVA is that you have the interaction term. …
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How to compute confidence interval in ANOVA with repeated measures?
If you had run the anova(·) with the lm() or aov() output, you do indeed have one degree of freedom listed in that row. But that degree of freedom is for the estimate of the variance. … The appropriate degrees of freedom for the confidence interval for the effect (i.e., the partial slope of the MR version of the ANOVA) would be the overall model d.f. …
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Are there realistic/relevant use-cases for one way ANOVA?
To address the second query posed: Yet in this frequent scenario, I often see the ANOVA done anyway. Is this just a historic relic? … I would argue, thus, that it is not just an historic relic, but a process that should be encouraged (even in the more pedantic examples like an ANOVA). …
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Accepted
Error Term $\epsilon_{ij}$ in $ Y_{ij} = \mu + \alpha_i + \beta_j + \epsilon_{ij} $ Same as ...
I will demonstrate with a 2x2 ANOVA example (with dichotomous groupings and no interaction). … The ANOVA model proposes that there is some group difference based on the row (which we can relate to $\alpha$) and based on the column (which we can relate to $\beta$). …
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ANOVA with binary dependent variable
No, ANOVA is not the appropriate test. You will want to conduct a chi-square test-of-independence test. …
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One Way ANOVA, 3 groups with unequal sample sizes
2 3.9
2 7.94
2 7.38
2 16.82
2 11.67
2 13.31
2 9
2 12.79
2 14.1
3 14.6
3 22.9
3 16.38
3 6.77
3 2.75
3 13
3 25.5
With data in this format, you will be able to run the ANOVA …
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Accepted
Peculiarities and semantics of ANOVA
) are built on the ANOVA. … Thus, comparing group means results in an ANOVA table, running a regression produces an ANOVA table, running an ANCOVA produces an ANOVA table, even mixed effects analyses produces an ANOVA table. …
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