Daniel Lee posted on Monday, October 24, 2016 - 12:51 pm
Hi Dr. Muthen, After running a conditional growth model (the time-invariant predictor was whether the participant was in the experimental or control condition), I elected to run a multiple growth model (group = condition/control) to examine parameters (slope, intercept, random effect parameters) in the experimental and control condition. Although model fit generally remained the same (RMSEA, TLI/CFI), the SRMR shot up from .05 to .10.
I was wondering if you can help me understand why SRMR might increase so drastically in this scenario (while other fit indicators remain stable from conditional growth curve model). Does the SRMR naturally increase when multiple groups are introduced? Or is this value sensitive to the inclusion of multiple groups?