patc3

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• The JASP manual has decision trees at the end to help you choose which test to use: https://jasp-stats.org/wp-content/uploads/2022/04/Statistical-Analysis-in-JASP-A-Students-Guide-v16.pdf More generally you should take a look at the JASP website, th…

  in Jasp help Comment by patc3 March 25
• one of your factors has fewer than 2 observations in one of its levels

  in Anova Help Comment by patc3 March 25
• In the meantime it might be possible for you to manually create time variables (e.g. time1 = 0 1 2 2 2 and time2 = 0 0 0 1 2 3 has two splines/one turning point) There's a section on piecewise models in Coulombe & Selig (2015), as well as in the…

  in Segment regression in JASP Comment by patc3 March 15
• this is just to choose the number of components/factors, not how the actual analysis is conducted. So while I'm not an expert in this I suppose if you're doing PCA it makes more sense to choose the number of components with the parallel analysis bas…

  in PCA - Parallel Analysis Comment by patc3 March 15
• The test is descriptives is univariate (i.e., does each variable follow a normal distribution indiviodually?), while the test in the correlation analysis is either bivariate (do both of my variables taken together follow a bivariate normal distribut…

  in Shapiro-Wilk - apparent discrepancy Comment by patc3 March 5
• Thanks EJ, #1 and #3 are great news

  in What are use case(s) for the R console in JASP? Comment by patc3 March 3
• using R code you can do: rowMeans(cbind(var1, var2, var3), na.rm=TRUE)

  in JASP doesn't compute mean of multiple variables in new column Comment by patc3 March 2
• Factor A: F= -1.02e-12 (on R) vs. F=2.878 x 10^-5 (JASP) Hmm negative F-test isn't even possible...

  in RM ANOVA different results in JASP and R. Comment by patc3 March 1
• Hi JP21, I suppose you've done this already but while waiting for the user guide, you can take a look at the documentation for the linear mixed models analysis in JASP by click the "i" button in the analysis

  in Linear mixed modelling and R output in JASP Comment by patc3 February 19
• Can you show an example of SPSS syntax of the analysis you want to replicate? (if you're going through the dialog boxes in SPSS, click "Paste")

  in Marginal Multilevel Models in JASP Comment by patc3 February 19
• to specify which paths are equal across groups, you need to set the labels to be the same across groups. For example, if you have two groups and want to fix the factor loading of cm1 to be equal across groups, your last line would be: "cm =~ c(…

  in Multigroup SEM Comment by patc3 January 29
• It looks like JASP v0.17 uses FIML by default for both CFA and SEM, and you can change this option. If you prefer to use the SEM analysis in JASP instead of the CFA analysis you can specify the syntax for the measurement model manually (e.g. f1 =~ i…

  in Missing values and CFA Comment by patc3 January 29
• This might not be ideal but as a temporary fix in the machine learning module you can uncheck "Scale variables" under "Training Parameters" (both for decision tree and SVM) For the regression module you get the coefficient of det…

  in Predictions with regression tools Comment by patc3 April 2022
• Btw I tried some stuff but couldn't figure it out either... am curious to see as well

  in How to release constraints for Measurement Invariance in JASP Comment by patc3 November 2021
• Seems to say you have fewer than 2 people in some group(s) in "prlang"

  in ANOVA data Set Comment by patc3 November 2021
• Edit: Sorry I spoke too fast, I tried with a factor predictor with more than 2 levels and I'm no longer reproducing the fixed effects, seeing as I would need to change the coding as you mention How did you get the chi-square in R? when I do the foll…

  in Reproducing GLMM in R Comment by patc3 October 2021
• Hello, I'm also curious about this (seeing as the results are *very* different). Could I also check out the data or jasp file? My email is patrick.coulombe@d22consulting.com By the way R-hat of 1.145 seems to indicate the chains have not converged (…

  in Discrepant results between non-parametric frequentist and Bayesian independent Samples t-test Comment by patc3 October 2021
• (Adding info here for readers) The source of the discrepancy has been found and fixed: the number of principal components rather than the number of factors was being retrieved by JASP from the parallel analysis. See the corresponding pull request on…

  in Parallel analysis for EFA in JASP Comment by patc3 October 2021
• @jpe @EJ I'm a little late to the show but the source of the discrepancy has been found and fixed: the number of principal components rather than the number of factors was being retrieved by JASP from the parallel analysis. See the corresponding pul…

  in Parallel Analysis in JASP shows persistent discrepancy with R across samples and items Comment by patc3 October 2021