Robust values for fit indices in the SEMLj module
Posted: Thu Sep 17, 2026 8:01 am
Hi!
I have some trouble with the output when conducting a CFA via the SEMLj module in interactive mode. Since my data is ordinal (Likert scale responses) I am using the Roubust Weighted Least Squares estimation method (WLSMV). I want to interpret model fit using robust values. The output provides robust (and scaled) values in the "Fit indices" table for SRMR and RMSEA. But the corresponding columns are missing from the "User model versus baseline model" table, where CFI and TLI are shown.
I am using the current latest version of Jamovi that can be downloaded for Linux (labelled "28.2.0.0" in Jamovi, and "2.7.27" on Flathub) with the latest SEMLj module version ("1.2.8"). A colleague is running the analysis on the same data using Jamovi for macOS (version "2.7.38"), and the robust column appears in their output. Could there be a glitch in the Linux version, or do I need to do something to get the additional values?
I have some trouble with the output when conducting a CFA via the SEMLj module in interactive mode. Since my data is ordinal (Likert scale responses) I am using the Roubust Weighted Least Squares estimation method (WLSMV). I want to interpret model fit using robust values. The output provides robust (and scaled) values in the "Fit indices" table for SRMR and RMSEA. But the corresponding columns are missing from the "User model versus baseline model" table, where CFI and TLI are shown.
I am using the current latest version of Jamovi that can be downloaded for Linux (labelled "28.2.0.0" in Jamovi, and "2.7.27" on Flathub) with the latest SEMLj module version ("1.2.8"). A colleague is running the analysis on the same data using Jamovi for macOS (version "2.7.38"), and the robust column appears in their output. Could there be a glitch in the Linux version, or do I need to do something to get the additional values?