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Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)

This dataset provides de-identified raw responses to a non-anonymous three-wave online survey with a 12-month time lag. Data collection was part of a larger project on the development of career calling in Italian college students. The first wave was collected during the fall of 2014. Participants we...

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Autores principales: Dalla Rosa, Anna, Vianello, Michelangelo, Galliani, Elisa Maria, Boffo, Vanna, Fedeli, Monica, Lo Presti, Francesco, Melacarne, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702381/
https://www.ncbi.nlm.nih.gov/pubmed/31453291
http://dx.doi.org/10.1016/j.dib.2019.104310
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author Dalla Rosa, Anna
Vianello, Michelangelo
Galliani, Elisa Maria
Boffo, Vanna
Fedeli, Monica
Lo Presti, Francesco
Melacarne, Claudio
author_facet Dalla Rosa, Anna
Vianello, Michelangelo
Galliani, Elisa Maria
Boffo, Vanna
Fedeli, Monica
Lo Presti, Francesco
Melacarne, Claudio
author_sort Dalla Rosa, Anna
collection PubMed
description This dataset provides de-identified raw responses to a non-anonymous three-wave online survey with a 12-month time lag. Data collection was part of a larger project on the development of career calling in Italian college students. The first wave was collected during the fall of 2014. Participants were bachelor's or master's students enrolled in 24 different study domains and 4 different universities. Sample sizes for each wave are N(T)(1) = 5,886, N(T)(2) = 1,700 and N(T)(3) = 881, 434 participants provided valid responses at all the three waves. Consent form was electronic. Dataset and codebook can be found here: https://osf.io/v56du/. The sample is mainly composed of women (63.8%, at Time 1). Participants' mean age at Time 1 was 23.37 years (SD = 5.39). The survey was in Italian and included multiple-item measures of career calling, intrinsic and extrinsic motivation, social support, engaged learning, clarity of professional identity, and quality of mentorship. Socio-demographic information and academic performance indicators are provided. The dataset is necessary to reproduce previously published results (Vianello et al., 2018) and can be useful to 1) investigate cross-cultural differences between college students from Italy and other countries; 2) investigate person-level variability in predictors and consequences of change in the variables collected over time; 3) develop and/or validate new statistical models for longitudinal data; and 4) develop and/or test original theoretical hypotheses.
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spelling pubmed-67023812019-08-26 Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368) Dalla Rosa, Anna Vianello, Michelangelo Galliani, Elisa Maria Boffo, Vanna Fedeli, Monica Lo Presti, Francesco Melacarne, Claudio Data Brief Psychology This dataset provides de-identified raw responses to a non-anonymous three-wave online survey with a 12-month time lag. Data collection was part of a larger project on the development of career calling in Italian college students. The first wave was collected during the fall of 2014. Participants were bachelor's or master's students enrolled in 24 different study domains and 4 different universities. Sample sizes for each wave are N(T)(1) = 5,886, N(T)(2) = 1,700 and N(T)(3) = 881, 434 participants provided valid responses at all the three waves. Consent form was electronic. Dataset and codebook can be found here: https://osf.io/v56du/. The sample is mainly composed of women (63.8%, at Time 1). Participants' mean age at Time 1 was 23.37 years (SD = 5.39). The survey was in Italian and included multiple-item measures of career calling, intrinsic and extrinsic motivation, social support, engaged learning, clarity of professional identity, and quality of mentorship. Socio-demographic information and academic performance indicators are provided. The dataset is necessary to reproduce previously published results (Vianello et al., 2018) and can be useful to 1) investigate cross-cultural differences between college students from Italy and other countries; 2) investigate person-level variability in predictors and consequences of change in the variables collected over time; 3) develop and/or validate new statistical models for longitudinal data; and 4) develop and/or test original theoretical hypotheses. Elsevier 2019-07-26 /pmc/articles/PMC6702381/ /pubmed/31453291 http://dx.doi.org/10.1016/j.dib.2019.104310 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Psychology
Dalla Rosa, Anna
Vianello, Michelangelo
Galliani, Elisa Maria
Boffo, Vanna
Fedeli, Monica
Lo Presti, Francesco
Melacarne, Claudio
Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)
title Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)
title_full Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)
title_fullStr Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)
title_full_unstemmed Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)
title_short Data from a three-wave complete longitudinal design survey on career calling and related constructs (N = 6368)
title_sort data from a three-wave complete longitudinal design survey on career calling and related constructs (n = 6368)
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6702381/
https://www.ncbi.nlm.nih.gov/pubmed/31453291
http://dx.doi.org/10.1016/j.dib.2019.104310
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