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Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test

Author

Listed:
  • María Guillot-Valdés

    (Mind, Brain and Behavior Research Center, University of Granada, 18011 Granada, Spain)

  • Alejandro Guillén-Riquelme

    (Mind, Brain and Behavior Research Center, University of Granada, 18011 Granada, Spain
    Faculty of Health Sciences, Valentian International University, 46002 Valencia, Spain)

  • Juan Carlos Sierra

    (Mind, Brain and Behavior Research Center, University of Granada, 18011 Granada, Spain)

  • Gualberto Buela-Casal

    (Mind, Brain and Behavior Research Center, University of Granada, 18011 Granada, Spain)

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 ( M age = 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.

Suggested Citation

  • María Guillot-Valdés & Alejandro Guillén-Riquelme & Juan Carlos Sierra & Gualberto Buela-Casal, 2022. "Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test," IJERPH, MDPI, vol. 19(17), pages 1-26, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10788-:d:901478
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    References listed on IDEAS

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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Angélique O J Cramer & Claudia D van Borkulo & Erik J Giltay & Han L J van der Maas & Kenneth S Kendler & Marten Scheffer & Denny Borsboom, 2016. "Major Depression as a Complex Dynamic System," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-20, December.
    3. Paulo Ruiz-Grosso & Christian Loret de Mola & Johann M Vega-Dienstmaier & Jorge M Arevalo & Kristhy Chavez & Ana Vilela & Maria Lazo & Julio Huapaya, 2012. "Validation of the Spanish Center for Epidemiological Studies Depression and Zung Self-Rating Depression Scales: A Comparative Validation Study," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
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