patc3
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Surely you need raw data (it looks like you're trying to run the analysis on summary data, either that or you have only 4 observations)
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In case it helps, some analyses already allow weighting, e.g. linear regression: https://forum.cogsci.nl/uploads/238/EBQ554GS784Q.png Generalized linear model: https://forum.cogsci.nl/uploads/751/QP12OQZ1QYVJ.png
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@TarandeepKang hi Tarandeep, to me this doesn't seem like time well invested, I've personally never actually used hierarchical regression outside of classes, and I do this for a living. Just my 2¢
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After some testing, I think you can reproduce this using these steps: 1) add all your variables (first and second block) as your predictors https://forum.cogsci.nl/uploads/540/Q1OUP8LMFZUA.png 2) under "Model", enter the variables from y…
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Does this not do what you want? It's in the hamburger menu under Open -> Database https://forum.cogsci.nl/uploads/506/HVUO8GJKCAAT.png
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When you wonder about an analysis input, you can look up the documentation for this specific analysis by clicking the little "i" (info) button: https://forum.cogsci.nl/uploads/744/Q883OG4HH02T.png In this case the documentation indicates t…
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Under the "Statistics" menu where you checked confidence intervals, you can also check "Odds ratio scale": https://forum.cogsci.nl/uploads/086/8PPD1BW3X0CG.png
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yes the latter (to get the OR, you take the exponential of the estimate) You can take the exponential of the lower and upper limits of the CIs if they're based on estimates and they'll become odds ratios
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To put it simply, you can say things like we're 95% sure that the parameter (e.g. regression coefficient) is between <lower> and <upper>, or there is a 95% chance that the parameter is between <lower> and <upper>. The reality…
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Don't add paths from controls to IV, only to mediators and outcomes (here it fails because your IV is categorical). Age and mschool shouldn't predict NEGFAMDI (that's your IV right?)
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To make parameters appear in the "Parameters in model" you need to click ctrl+enter to apply the model you wrote. Yes it's possible in both JAGS and Process. Why do you prefer JAGS? Here's the setup using the Process module (1 predictor = …
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Equivalently you can also specify this using paths (no need for Hayes model numbers): https://forum.cogsci.nl/uploads/678/7Y4RKGPZRXHD.png
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Wow you're right, I hadn't realized Bayesian had been implemented in Process. Here's how I replicated the analysis: https://forum.cogsci.nl/uploads/767/IYWSNSLDQZBR.png https://forum.cogsci.nl/uploads/217/MA48FUTK55AS.png
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I don't think you can do it automatically through a menu, but you can do it through the JAGS module. Here's a syntax where x = Extraversion, m = Satisfaction, and y = ITL (intention to leave), i.e. extraversion leads to higher satisfaction which in …
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For a non-normal dependent variable, depending on the distribution of the variable you can also use generalized LMM. This is parametric, but it assumes the outcome follows some distribution other than normal (e.g. there's Poisson for counts, inverse…
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Also I forgot to mention, the reason you center in a moderation analysis is that the interpretation of the "simple effects" in the output (i.e. the effect of each variable, e.g. x1 and x2) is the effect of that variable when the other vari…
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Hi Seth, 1) "I was curious if anyone knows why JASP uses z-tests by default for this and whether there is any way to change it to t-tests": the reason is that the module uses the R library lavaan, which is a general-purpose structural equ…
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@Yuichiro it's not possible from your screenshots to see what the problem is. I also don't understand what the problem is from the textual description you gave.
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What's the problem with the screenshot you showed?
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You're welcome for the help Per 🙃 Did you try to change the values when it's a nominal variable, or change the labels when it's a numeric variable? Either way you can get the text you want. You can try both too and see which one you like best/works …
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It looks like you can't change labels for a nominal variable (where the value itself can act as a label, since text is allowed). If you want a numeric value (which you can use in analyses) with labels, you can change the variable type to scale (curr…
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https://forum.cogsci.nl/uploads/055/I66SXS5QIDDQ.png
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From memory I think it's called variance covariance of effects or something like that (right above the checkbox you checked to get individual random effects)
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By default JASP estimates all possible random effects (including those for interactions). You have to go under Model and remove (uncheck) random effects (in your case, you only have a random intercept, so only intercept should be checked): https://f…
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sorry I'm not sure what the answer to your question is, so I'll let others chime in
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Michael, I think there might be some confusion as to what problem GVIF solves. GVIF is designed to accommodate categorical **predictors**, whereas VIF had been originally designed to accommodate numerical predictors only. As far as I know this as no…
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https://forum.cogsci.nl/uploads/987/R03GP0H44MY4.png
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Insert new column using R code called AtLeast26: as.numeric(Age >= 26)
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Could the numeric stats use numeric values and frequency tables use labels? (E.g. value 1 has label 3). Just a guess, I'm on my phone
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you can drag and drop from one line to another: https://i.imgur.com/u2rcX3H.gif