jamovi

Hello I realised a k-means analysis in Jamovi (Snowcluster package) and I have found a problem in the output. The label of the clusters in the table Centroids of cluster Table is not the same than in the graph Plot of means across clusters. See the file attached: Cluster 4 which is the maximum on th...

I'm trying to do an ESEM analysis on data with missing values. On the explication of the SEM package in Jamovi, https://semlj.github.io/index.html, there is under the tab Model options a subtab Data then Missing value where one could choose FIML. I don't know why I don't have the subtab Data on my J...

Hi, I'm surprised by results, that made me wonder how Jamovi realised a paired t-test with a covariate. I realised a paired samples t-test, and there was a non-significant effect of time. I introduced a quantitative covariate, and there is a significant effect of time, of covariate and of interactio...

Actually SPSS performs an EFA that's not a real EFA, but a PCA, and has no parallel analysis implemented. Stay away from it. One concern is about the nature of your data: ordinal or continuous? you must check the proper correlation (i.e.: polychoric, tethracoric, pearson, spearman, kendall) before ...

So the eigenvalues that are associated with the common factor analysis (or EFA) are the eigenvalues of the common factor solution. I think SPSS shows the eigenvalues of the covariance matrix (like in PCA in jamovi). So this could explain the difference. You can compare the SPSS eigenvalues to the P...

I have performed EFA with principal axis extraction in Jamovi and in SPSS (on correlation matrix). If the first eigenvalue shows a small difference (11.302 in jamovi versus 11.927 in SPSS), I find huge difference in the remaining eigenvalues: on the whole 4 eigenvalues greater then 1 in Jamovi (11.3...

Dear colleagues, I would like to create a new categorical variable (VarC) that results from logical functions on two continuous variables (varA ant VarB). If VarA < c1 and VarB < c2, then VarC=1 If VarA >= c1 and VarB < c2, then VarC=2 If VarA < c1 and VarB >= c2, then VarC=3 If VarA >= c1 and VarB ...

I tried to replicate an analysis done in R (with lmer) on a design with a within factor (time, 3 measures, ordered factor) and a between factor (group, 3 groups) in Jamov (mixed model). All the results are the same, except for the contrasts of the variable time (contrast polynomial): the linear cons...