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Descriptive statistics and Cronbach's alpha for resilience ..:

Dayna J. Fullerton (10074159) ; Lisa M. Zhang (10074162) ; Sabina Kleitman (680036)
https://figshare.com/articles/dataset/Descriptive_statistics_and_Cronbach_s_alpha_for_resilience_resource_measures_/13695225. , 2021

Link: https://doi.org/10.1371/journal.pone.0246000.t001

RT Journal
T1 <Title>Descriptive statistics and Cronbach's alpha for resilience resource measures</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_13695225&Exemplar=1&LAN=DE
				
A1 Dayna J. Fullerton (10074159)
A1 Lisa M. Zhang (10074162)
A1 Sabina Kleitman (680036)
YR 2021
K1 Science Policy
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 university adjustment
K1 equation modelling
K1 resilience-related attributes
K1 strategy
K1 student well-being
K1 factor analysis
K1 resilience resources factor
K1 adaptation outcomes
K1 Resilience resources
K1 process model
K1 conceptualising resilience
K1 adaptation Tertiary study
K1 health symptoms
K1 Resilience research
K1 self-report measures
JF https://figshare.com/articles/dataset/Descriptive_statistics_and_Cronbach_s_alpha_for_resilience_resource_measures_/13695225
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0246000.t001
DO https://doi.org/10.1371/journal.pone.0246000.t001
SF ELIB - SuUB Bremen

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