jamovi

Hi I think you need at least 3 nominal variables to run. you can try it using example data within snowClustermodule; Open>Data Library> Multivariate analysis. Best Regards Seol Hi Seol, Thanks for your suggestion, I checked the example and it turns out the frequencies need to be nominal variables i...

Hi Beth Have you tried 'snowCluster' module for correspondence analysis? Best Seol Hi Seol, I installed and tried it after your suggestion. I'm very new to data analysis so excuse me if I'm missing something very obvious but I'm a bit confused about this. I'm getting "the following variables a...

Hi, I'm trying to run a correspondence analysis on Jamovi. I followed an example (https://sebastien-le.github.io/medasite/CA.html) I found online, and even though my data seems appropriate for the analysis, I get an error message "non convenient data". I added the nominal variable as the r...

Thank you Maurizio for your detailed answer. I will dive deeper into learning the analysis. Thanks for the example, I understand how to interpret it now. I guess I was just a bit disappointed to learn that the possibility ratios are for different food types and locations for males and females as opp...

Hi, I have a question regarding Chi-square test of independence analysis with 2 vs.3 variables (adding the 3rd as the layer). To simplify, let's say I'm researching the interaction between gender and clothing choices. There are 3 variables: color (red, white, black), clothing type (dress, pants, shi...

Hi Maurizio, Thank you for your answer. I've been looking up the log-linear regression (I've never done it before) and something in the output is confusing me. As can be seen in the output screenshot, I added 3 factors to the model and I'm interested in the 3-way interaction. The counts variable giv...

Hi, I'm using the test of independence and I have a hard time interpreting it. In addition to 2 variables (gender and food type), I have a 3rd one (location) that I added as a layer. My aim is to see whether there's an association between gender, food type and location. I put the location variable a...

Oh I see! Thank you so much for taking the time to explain, I understand much better now! Hi, you may want to have a look at Agresti (2007), https://mregresion.files.wordpress.com/2012/08/agresti-introduction-to-categorical-data.pdf In a nutshell, multinomial predicts comparisons between one group d...

Hi, I'm new to Jamovi (and to statistics in general, to be honest), and I need to analyze my data to see whether certain factors contribute to a selection. My dependent has 4 levels, and I have factors that have 2 or more levels, such as gender (male, female), hunger (low, high), and BMI (underweigh...