Hello everyone,

I run a Latent Profile Analysis in R with the package tidyLPA to identify groups of participants who showed similar patterns on burnout variables (3 variables : exhaustion, cynism and personal accomplishment). A 4-profile solution fit the best.

My issue is that means found for each profile with tidyLPA (mod_1c_v1[["model_1_class_4"]][["estimates"]][["Estimate"]]) are different from when I report each profile assigned to each individual on an excel file, and then perform the means for each profile on SPSS.

(Example : For the first profile, the means with tidyLPA are EE : 32,85 ; C :3,79 ; AP :34.45 and on SPSS E : 35,68 ; C :3,32 ; AP :34,55)

Does anyone have an explanation for this? It would be really helpful !

Thank you in advance and have a nice day.