This project contains three folders one for each analysis we conducted in Vianello, Galliani, Dalla Rosa and Anselmi (2017): 1) **Longitudinal Cluster Analysis**: We clustered individuals based on their trajectories of change in six facets of calling over time using the R package “TSclust” (Montero & Vilar, 2014). 2) **Trajectories Correlation**: We computed the CORT coefficients between the trajectories of the facets of calling. 3) **Latent Growth Curve Model**: We specified and estimated a latent growth curve model (Bollen & Curran, 2006; Little, 2013) to investigate whether calling develops according to a virtuous cycle in which perceiving a calling and living out a calling reciprocally foster each other. Each folder contains the database, the R or AMOS codes used to perform the specific analyses and the software outputs. **METHOD** Data were collected in three waves using a non-experimental online survey. The second and third waves respectively occurred 12 and 24 months after the first data collection. All students regularly enrolled in the year 2014-2015 at the Universities of Padua, Naples-Parthenope, Siena and Florence were invited to take part in the survey. A sample of 5886 students was involved in the first data collection, 1700 students took part in the second data collection, and 881 took part in the third data collection. A sample of 434 students participated in all three waves (7.37% of the initial sample). The file source containing all the variables adopted for the analyses is “DatiCalling_T1_T2_T3_WideFormat_ZFS.Anonim.sav” (SPSS). Factor Scores were computed in MPlus. Details on the latter procedure are related to another article and can be found at this component: https://osf.io/viwsu/