@misc{10481/77040,
year = {2022},
month = {8},
url = {https://hdl.handle.net/10481/77040},
abstract = {Depression is a highly prevalent disorder with a wide range of symptomatology. Existing
instruments for its assessment have only a few items for each factor. The Depression Clinical
Evaluation Test (DCET) has been created to cover all depression symptoms at different times (month,
year, and always) with several items for each facet. The content validity of this instrument has
been judged by experts and, in this paper, we analyse its factorial structure and make a network
analysis of it. The test (196 items) was administered to 602 adults without psychological disorders
(Mage = 24.7, SD = 8.38, 72% women) both online and on paper. A network was estimated for each
time point, using the absolute minimum selection and shrinkage operator. From the factor analysis,
12 factors were established for month, 11 for year, and 10 for always, leaving 94 items. The network
analysis showed that the facets of depressive mood, anhedonia, and thoughts of Death, are central to
all the estimated networks. The DCET is proposed as a valid and reliable multifactorial instrument to
detect the variability of depressive symptoms in adults, guaranteeing its diagnostic usefulness.},
organization = {Spanish Government	FPU17/05262},
publisher = {MDPI},
keywords = {Depression},
keywords = {Assessment},
keywords = {Factor analysis},
keywords = {Network analysis},
keywords = {Psychometrics},
title = {Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test},
doi = {10.3390/ijerph191710788},
author = {Guillot Valdés, María and Guillén Riquelme, Alejandro and Sierra Freire, Juan Carlos and Buela Casal, Gualberto},
}