**Introduction**
As facets for the SWB we used the Satisfaction With Life Scale (SWLS) and the emotional states happy, awake and calm. For the PWB, we used the Ryff Scale of Psychological Well-Being. This differ the facets of self-acceptance, positive relationships with others, autonomy, control of the environment, meaning, and personal growth.
Structural equation models were used for the analyses. For this purpose, the measurement models were prepared in functions in the measurement_functions script and the analysis models were prepared in the analysis_functions script.
The scripts are divided according to the SWB (SWLS, happy, calm, awake).
**Measurement invariance over time:**
First, a measurement model (configural measurement invariance) was modeled for each facet, then the strong measurement invariance was modeled, and it was tested if it fits the data significantly worse than the measurement model.
**Analyses models:**
After verifying that the strong measurement invariance and thus that the means and regressions could be interpreted comparably over time, the analysis models were modeled. For this purpose, one model each was modeled with fixed autoregressive (AR) and cross-lagged (CL) effects (because they are more meaningful to interpret) and then once with freely estimated AR and CL effects (for the plots).
Finally, all models of a SWB facet were saved in a list each.
All results can be found in the HTML outputs.
