patc3
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@TarandeepKang your explanation was very useful

This is likely due to having a dependent variable with a very large scale (e.g. salary in dollar amounts, or something even bigger). You could try to go in preferences and uncheck this box: https://forum.cogsci.nl/uploads/575/U9UJICY4DDRJ.png

See GitHub issue here: https://github.com/jaspstats/jaspissues/issues/2926

Thanks I remember now. I used to know how to get to multinomial regression, but it's so weirdly located that I couldn't find it anymore. Welp you're definitely right the UI is completely unresponsible to changes in the diagnostics section. It might …

I thought JASP didn't have multinomial logistic regression? Am I misremembering?

After you've followed EJ's suggestions, if you need to, you can revert back to a previous JASP version until a fix is deployed: https://jaspstats.org/previousversions/

Nice! readxl::read_excel() works extremely well

Where can we access the data? I wanna see for myself.. Or perhaps you can show your JASP input? To rule out user error (as I don't think the book got it wrong, and I would find it unfortunate if JASP was wrong)

What if you change model test in the SEM analysis (see the second screenshot)? Also what if you pick mimic/emulate Mplus?

That said, there's probably a couple of ways to get the t test: 1) create a new variable with two values and missing if not in either of the two conditions of interest 2) do an ANOVA with post hoc pairwise comparisons, though you might be forced to …

Hmmm interesting... This looks like a bug to me

CFA: https://forum.cogsci.nl/uploads/463/CITETK1B9CRF.png SEM: https://forum.cogsci.nl/uploads/925/READPHIC8Y8C.png

Sorry no I don't know. What I do in that situation is I either use the default, or I use the default of a software that a lot of people use in my field (SPSS).

Duplicate the analysis by clicking the green button and do it through separate analyses instead. My guess is it's a "lack of functionality", as there are some scenarios where you want the constraints to be the same across models; this is …

There's several methods for calculating percentiles, and the SPSS and R defaults are not the same. (JASP uses R in the background) https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/quantile SPSS uses type 6, the default in R is ty…

Of course the difference in residuals is due to the difference between the models, i.e. the addition of baseline as a numeric predictor. Baseline as a predictor uses up 1 degree of freedom, and if it interacts with another predictor, it uses up anot…

What's your model? What's your lavaan syntax? Your question would benefit from a lot more detail... Personally I'm not sure what you're trying to achieve

just means that they did group2 minus group1 and you did group1 minus group2. This is inconsequential. Same pvalue, same conclusion, same difference being tested, etc.

It's in ANOVA under Nonparametrics: https://forum.cogsci.nl/uploads/567/GLTZ3GI2RZ8S.png https://forum.cogsci.nl/uploads/381/QITYTVTXL9JG.png https://forum.cogsci.nl/uploads/483/1ZHMHFMRU5X3.png https://forum.cogsci.nl/uploads/827/FAR74SD05CEM.png

you can do it "manually" in the SEM analysis using lavaan syntax

@TarandeepKang Cool! Great idea, I personally would love to see this arrive in JASP

Yes under the module Mixed Models then Linear Mixed Models, in fact all random slopes are specified by default (for better or worse): https://forum.cogsci.nl/uploads/587/CZZR8ZOUX8NV.png

Go in the R console in JASP (you might have to add the module), and type: 1pchisq(39.16,1)

AgeM =~ Age Price =~ PP1 PastUseM =~ PastUse at a minimum I'm guessing you have a problem with these 3 factor definitions, as these are phantom constructs, and I can't imagine this is the right syntax for them (specifically, you probably need to add…

I am aware that I could map numerical values to my categories given they are ordered and use other methods (e.g., Kmeans or density). What would be the limitations of this approach (any further reading appreciated) as this is a statistical questi…

I remember seeing "end of June" somewhere? maybe I'm imagining

Can you show a bit more please

@Pedro_Rosa that's interesting. It does look like the mediation analysis simply standardizes the variables in order to obtain the standardized estimates, whereas the SEM module presumably obtains the actual standardized estimates. I'm not sure why t…

Thanks Jana, your post is very clear. Yes let's see what they say, I'm curious as well.