Longitudinal Invariance of the Children’s Depression Inventory for Urban Children in Hunan, China
Abstract
Abstract. This study was designed to examine the invariance of item parameters in the Children’s Depression Inventory (CDI) and changes in childhood depression over time among urban children in the Hunan Province of China. A total of 1,364 primary school students from the second to sixth grades participated in the study and completed four measurement waves, in which childhood depression was assessed with the CDI. The results were analyzed using the multilevel longitudinal Rasch measurement model. Seven items showed time effects in five subscales. Statistically significant negative linear time effects were observed in five subscales, and positive quadratic time effects were found in three subscales (i.e., Interpersonal Problems, Negative Self-esteem, and Negative Mood). Although a few items of the CDI were found to change with time following repeated administration, most of the CDI items showed strong longitudinal invariance of their item location parameters.
References
2003). Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). New York, NY: Springer.
(2008). Measurement bias across gender on the Children’s Depression Inventory: Evidence for invariance from two latent variable models. Educational and Psychological Measurement, 68, 281–303.
(2005). The longitudinal structure of the children’s depression inventory testing a Latent Trait-State Model. Psychological Assessment, 17, 144–155.
(2002). Individual differences in the emergence of depressive symptoms in children and adolescents: A longitudinal investigation of parent and child reports. Journal of Abnormal Psychology, 111, 156–165.
(1987). Children’s Depression Inventory: Reliability over repeated administrations. Journal of Clinical Child Psychology, 16, 339–341.
(2013). Response shifts in mental health interventions: An illustration of longitudinal measurement invariance. Psychological Assessment, 25, 520–531.
(2012). Children’s Depression Inventory: Invariance across children and adolescents with and without depressive disorders. Psychological Assessment, 24, 1–10.
(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
(2001). Item analysis by the hierarchical generalized linear model. Journal of Educational Measurement, 38, 79–93.
(1981). Rating scales to assess depression in school-aged children. Acta Paedopsychiatry, 46, 303–315.
(2003). Children’s Depression Inventory. Manual. New York, NY: Multi-Health Systems.
(1990). Four-year predictive value of the Children’s Depression Inventory. Psychological Assessment, 2, 169–174.
(1992). On the misuse of manifest variables in the detection of measurement bias. Psychometrika, 57, 289–311.
(1990). Fitting a polytomous item response model to Likert-type data. Applied Psychological Measurement, 14, 59–71.
(2003). PARSCALE 4 [Computer software and manual]. Lincolnwood, IL: Scientific Software International.
(1998–2007). Mplus user’s guide (5th ed.). Los Angeles, CA: Muthén & Muthén.
(1990). Children’s Depression Inventory: Stability over repeated administrations in psychiatric inpatient children. Journal of Clinical Child Psychology, 19, 254–256.
(2006). Longitudinal Rasch modeling in the context of psychotherapy outcomes assessment. Applied Psychological Measurement, 30, 100–120.
(1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163.
(2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
(2011). HLM7: Hierarchical linear and nonlinear modeling [Computer software]. Chicago, IL: Scientific Software International.
(2011). Psychological assessment in children and adolescents with benign paroxysmal vertigo. Brain & Development, 33, 125–130.
(2002). The genetic aetiology of childhood depression: A review. Journal of Child Psychology and Psychiatry, 43, 65–79.
(1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461–464.
(1998). Effects of repeated administration of the Beck Depression Inventory and other measures of negative mood states. Personality and Individual Differences, 24, 457–463.
(1991). Children’s thinking (2nd ed.). Upper Saddle River, NJ: Prentice Hall.
(2003). Applied longitudinal data analysis modeling change and even occurrence (pp. 1–10). New York, NY: Oxford University Press.
(2006). Effects of early and later family violence on children’s behavior problems and depression: A longitudinal multi-informant perspective. Child Abuse & Neglect, 30, 283–306.
(2006). Application of multidimensional item response theory models to longitudinal data. Educational and Psychological Measurement, 66, 5–34.
(2002). Age, gender, race, socioeconomic status, and birth cohort differences on the Children’s Depression Inventory: A meta-analysis. Journal of Abnormal Psychology, 111, 578–588.
(2002). The effect of item parameter drift on examinee ability estimates. Applied Psychological Measurement, 26, 77–87.
(2006). DIF identification using HGLM for polytomous items. Applied Psychological Measurement, 30, 22–42.
(2010). Reliability and validity of the Chinese version of Children’s Depression Inventory. Chinese Mental Health Journal, 24, 775–779.
(2011). Assessing measurement invariance of the Children’s Depression Inventory in Chinese and Italian primary school student samples. Assessment, 18, 399–411.
(