jamovi

FYI: The examples here are derived from a plotting feature that's currently available in a different, GUI-based stats app.

Hi. In my opinion, an elegant analysis such as ANOVA or Linear Mixed Effects analysis would be good and appropriate only if you had much less missing data, and if the design had included 6- and 12-month for the wait-list group. As things stand, I think an appropriate set of analyses would be, simply...

Feature request: Raincloud descriptives plot with editable axis limits, element sizes, and transparency, etc.

Example

Whenever I use this kind of test, I need to leek at the pattern of means and medians to be sure I know the direction of any obtained effect. I've never heard of the test lacking validity when the sample size is large. (Generally, if sample size is an issue with any given test, it's small samples tha...

Contextualized within the example shown, below, the meaning of the U statistic is: "we take each tortoise in turn, and count the number of hares it beats" [Wikipedia]. The "effect size" is therefore some standardized measure of the extent to which the tortoises beat the hares [no...

Currently, this works, though it's not very concise . . .
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I don't think any modules do that. You'd have to compute it yourself as follows (with the geometric mean of 6, 2, and 7, being equal to 4.38) . . .

For me, 10 per group is too few for drawing confident conclusions, regardless of the type of analysis. But the more complicated the analysis, the less adequate 10-per-group would be. Repeated-measures ANOVA seems fine.

@Lisa RE: "Furthermore I read that biserial rank correlation is used in the presence of a dichotomous variable, which in my case (per-post test with Interval scaled) is not given.." Actually, yes. With respect to calculating a rank-biserial correlation, you do have one dichotomous variable...

There's more than one way to analyze these data. I would analyze it as a correlation between x (the category minimum: 25, 35, 45, etc.) and y (empathy score). In jamovi, you would need to create a computed variable that converts the categorical age variable to a "continuous" age-category-m...