2.4. Statistical Analyses
depressive
REGRESSION
All analyses have been conducted with the statistical software package SPSS Version 28.0. We treated Likert-type items as continuous variables. For scales, based on multiple items like the ones for life-satisfaction and depressive symptoms, we calculated additive scores according to the respective scale documentation.We carried out standard descriptive analyses and—depending on the data measurement level, number of categories, distribution and cell counts—conducted χWe used ordinary least squares linear regression models adjusted for baseline values of the respective outcomes. We conducted sequential linear regression models that build upon each other. According to Urban & Mayerl [Model 1 (M1) included (1) the treatment indicator variable contrasting the IVG vs. the WCG in terms of the effect on the outcome and (2) the variable representing the baseline values of the respective outcome. The latter was carried out because it is expected that the baseline (T0) value of the focused outcome has a relevant effect on the dependent outcome variable (at T1). This is especially true if the comparison groups (IVG vs. WCG) differ regarding the baseline value. For this reason, it is recommended that baseline outcome values be included as a predictor in pre–post randomized controlled trials comparing the efficacy of two competing treatments (JOBS training vs. no intervention) [Except for the correlation analyses, in which pairwise analyses were performed (