Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
**RAW DATA DESCRIPTION AND USE** Data collected in three-waves using a non-experimental online survey on a sample of 6370 Italian college students. Participants were active bachelor or master students enrolled in 24 different study domains. The dataset is organized in wide format and includes longitudinal observations of calling, calling orientation, vocation, living a calling, intention to continue studying, satisfaction, engaged learning, clarity of professional identity, social support, vocation, age, gender, study domain. The folder contains: 1. **Raw data file** in .sav and .xlsx format. 2. **Codebook** in .xlsx format for detailed information about each variable in the dataset. 3. **Syntax file** in .sps format. The sintax can be run in SPSS 23. Data were adopted to perform the analyses reported in the two components: 1) Vianello, M., Dalla Rosa, A., Anselmi, P., & Galliani, E. M. (2017). Construct Validity of a Unified Model of Calling. Link to OSF component: https://osf.io/viwsu/. 2) Dalla Rosa, A., Vianello, M., Anselmi, P. (2017). Longitudinal predictors of the development of a calling: new evidence for the a posteriori hypothesis. Link to OSF component: https://osf.io/5jgrp/. The syntax code provides the instruction to prepare the complete longitudinal dataset for the specific analyses reported in the two folders just mentioned. Specifically, the syntax allows to select the variables of interest, the subsample of participants, and to prepare the dataset for analyses in MPlus or AMOS. The two components provide details about the analyses that have been performed, and they contains the specific dataset (resulted from the syntax reported in the Raw data folder), and codes that can be used to reproduce the analyses. Output of the analyses are also reported.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.