andersony3k
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You cannot do an ANOVA on the following data set because Group B contains only one observation. For an ANOVA, each group must contain two least two observations. Group A {2.4, 2.7, 1.4, 2.5} Group B {2.8} Group C {2.3, 2.3, 1,4}

You have to make sure the variable is set to the scale of measurement that's appropriate to the analyis you're trying to perform. If you haven't read it already, see: https://tomfaulkenberry.github.io/JASPbook/

I think that if there's publication bias then the effect sizes in the published studies are inflated relative to to the effect sizes for all studies, including published and unpublished. Therefore, if you pool the data from the biased, published stu…

@chhhim FYI. Where in the plot editor is the user permitted to specify the aspect ratio?

Are you sure that checking for statistical significance of each factor and running both the Dunn and GamesHowell Post Hoc Comparisons are relevant to the question of whether there's an "interaction?"

I meant to write . . . Reject the null hypothesis if the interval EXcludes 5 or 5.

An even simpler approach: For the t test, opt to view the 95% confidence interval for the difference between the two means. Reject the null hypothesis if the interval includes 5 or 5.

For a twogroup t test, I would subtract 5 from each value in the group with the higher mean (call it Group 2), and then do a onesided t test t assess whether the mean of the transformed Group 2 data is significantly greater than the mean of the Gr…

I take it you have a main effect of group but no main effect of pre/post and no interaction. Then it seems to me that you might want to know whether the mean of each group differs significantly from the mean of each of the other groups, which would …

For #2. Sometimes the data severely violate the assumptions of a linear model, and so the analyst would like to do a set of planned t tests (instead of fitting the data to a linear model such as an ANOVA or a Generalized Linear Model). JASP supports…

1. Why is nonpooling only an option for the repeatedfactors and not for the betweensubject factors? 2. The reason I think nonpooling is necessary is that there should be some way to conduct planned comparisons without having those comparisons be…

It seems to me that if researchers are to report frequentist effect sizes to go along with their Bayesian 'repeated measures' analysis, those effect sizes should not come from a frequentist repeatedmeasures ANOVA. Instead, they should come from a f…

Another straightforward option is to simply conduct three planned t tests: BiL1 vs BiL2 BiL1 vs MoL1 BiL2 vs MoL1

Though advanced, I believe a Linear Mixed Model would be an appropriate alternative to repeated measures ANOVA, since the former doesn't require that patient have complete data.

This is a fine approach. (I've been forcedby a journal editorto use it in the past). However, I think the result can also be misleading. The interval is drawn around a particular mean, suggesting that it pertains to confidence about the location…

I think that if Excel handles it just fine, Excel is doing it wrong. For an ANOVA, you need to estimate variance across conditions as well as error variance (variance between conditions). An ANOVA can be calculated only if at least one of the six ce…

It seems to me that you want to test two different alternative hypotheses (relative to two different nulls): The hypothesis that the control condition's mean is different from 0.10, and the hypothesis that the treatment condition's mean is differen…

Hi. Perhaps you should take a look at this . . . https://cran.rproject.org/web/packages/emmeans/vignettes/basics.html

No. The results may not be the same, especially if you have unequal group sizes. For example, the mean response value for Condition X1 could be different when all response values in X1 count equally, versus when X1 consists of a large subgroup (X1Z1…

I meant to say, you need at least two observations per cell to do an ANOVA.

You need at least one observation per cell to do an ANOVA.

MaximumLuminis, It seems that you are doing a 2 X 2 repeatedmeasures ANOVA, but with the addition of two covariatesthe two data columns containing the "pre" values. I think what you are doing would be correct if you were not seriously v…

A correlation between B (the "before" value) and D (a beforeafter difference score that you compute).

Hi. This actually does not work in JASP 0.15.0 (Windows 10). It generates an error, as shown below. https://forum.cogsci.nl/uploads/723/8JBAWDSZJJX9.png

It's not so surprising to me. To what degree do your data meet all of the underlying assumptions? For example, nonlinear relationships between the predictors and the criterion variable could really screw things up. Obviously, the ideal way to identi…

Here's a relevant and recent inpress paper: https://sites.google.com/view/complexcognitionlabbgsu/research/publicationsreferences/labpublications/biasingtheinput

My thought is, that would only make sense in a narrow range of circumstances. One circumstance is when there are just two levels of a factor being compared, in which case a directional t test could be used instead of an ANOVA. Another is when the de…

In any t test, the theoretical, sampling distribution of t scores is distributed according to a t distribution, not a normal distribution. It is the population(s) of raw scores, from which the data scores are sampled, that are assumed to be normally…

I believe that what you want to do is run an Analysis of Covariance, with two groups and one covariate.

The solution (without having to write code) was given to me some time ago in another thread: https://forum.cogsci.nl/discussion/4041/featurerequestalloweachrowwithinalooptorundifferentsequence#latest Also, I've created a simple, working e…