Modelling the factor structure of the Child Depression Inventory in a population of apparently healthy adolescents in Nigeria

Samson Bamidele Olorunju, Onoja Matthew Akpa and Rotimi Felix Afolabi

PLOS ONE, 2018, vol. 13, issue 3, 1-14

Abstract: Background: Childhood and adolescent depression is common and often persists into adulthood with negative implications for school performances, peer relationship and behavioural functioning. The Child Depression Inventory (CDI) has been used to assess depression among adolescents in many countries including Nigeria but it is uncertain if the theoretical structure of CDI appropriately fits the experiences of adolescents in Nigeria. This study assessed varying theoretical modelling structure of the CDI in a population of apparently healthy adolescents in Benue state, Nigeria. Methods: Data was extracted on CDI scale and demographic information from a total of 1, 963 adolescents (aged 10–19 years), who participated in a state wide study assessing adolescent psychosocial functioning. In addition to descriptive statistics and reliability tests, Exploratory Factor Analysis (EFA) and Confirmatory Factor analysis (CFA) were used to model the underlying factor structure and its adequacy. The suggested new model was compared with existing CDI models as well as the CDI’s original theoretical model. A model is considered better, if it has minimum Root Mean Square Error of Approximation (RMSEA

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0193699

DOI: 10.1371/journal.pone.0193699

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