Item response theory analysis of the anxiety and mood disorders in clinic-referred children
- Authors: Gomez, Rapson , Vance, Alasdair
- Date: 2018
- Type: Text , Journal article
- Relation: Assessment Vol. 25, no. 2 (2016), p. 235-246
- Full Text: false
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- Description: There is evidence that the major anxiety and depressive disorders could reflect a single underlying internalization factor. For a group of 1,031 clinic-referred children, the study examined support for this factor, and used the two-parameter logistic model to examine the item response theory properties of the disorders in this factor. For the set of anxiety and depressive disorders, confirmatory factor analysis supported a one-factor model. The two-parameter logistic model analysis indicated that all the internalizing disorders in this factor were strong discriminators of the internalizing dimension. Also, they measured more of the internalizing dimension and with more precision in the upper half of the trait continuum. There was also support for the convergent validity of the internalizing dimension, in that it had large-to-medium effect size correlations with internalizing scores of other measures. The implications of the findings for clinical practice and clinical classification are discussed.
Bifactor model of WISC-IV : Applicability and measurement invariance in low and normal IQ groups
- Authors: Gomez, Rapson , Vance, Alasdair , Watson, Shaun
- Date: 2016
- Type: Text , Journal article
- Relation: Psychological Assessment Vol. 29, no. 17 (2016), p. 902-912
- Full Text: false
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- Description: This study examined the applicability and measurement invariance of the bifactor model of the 10 Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) core subtests in groups of children and adolescents (age range from 6 to 16 years) with low (IQ =79; N = 229; % male = 75.9) and normal (IQ >/=80; N = 816; % male = 75.0) IQ scores. Results supported this model in both groups, and there was good support for measurement invariance for this model across these groups. For all participants together, the omega hierarchical and explained common variance (ECV) values were high for the general factor and low to negligible for the specific factors. Together, the findings favor the use of the Full Scale IQ (FSIQ) scores of the WISC-IV, but not the subscale index scores. (PsycINFO Database Record
Confirmatory factor analysis, latent profile analysis, and factor mixture modeling of the syndromes of the child behavior checklist and teacher report form
- Authors: Gomez, Rapson , Vance, Alasdair
- Date: 2014
- Type: Text , Journal article
- Relation: Psychological Assessment Vol. 26, no. 4 (2014), p. 1307-1316
- Full Text: false
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- Description: The current study used confirmatory factor analysis (CFA), latent profile analysis (LPA), and factor mixture modeling (FMM) to examine the co-occurrence of the childhood syndromes using the Child Behavior Checklist (CBCL) and Teacher Report Form (TRF). Parents and teachers completed the CBCL and TRF, respectively, for a clinic-referred sample of 720 children, ages 7-12 years. For the CBCL, the analyses indicated most support a 2-class 2-factor FMM, and for the TRF, there was most support for a 2-class 3-factor model. The classes were all syndromes at average levels and all syndromes at high levels. The findings indicate high syndrome co-occurrence. The implications of the findings for understanding syndrome co-occurrence in the CBCL and TRF, theories of syndrome co-occurrence, and the clinical use of the CBCL and TRF are discussed.
Children's depression inventory: Invariance across children and adolescents with and without depressive disorders
- Authors: Gomez, Rapson , Vance, Alasdair , Gomez, Andre
- Date: 2012
- Type: Text , Journal article
- Relation: Psychological Assessment Vol. 24, no. 1 (2012), p. 1-10
- Full Text: false
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- Description: In the study, the authors examined the measurement (configural, factor loadings, thresholds, and error variances) and structural (factor variances, covariances, and mean scores) invariance of the Children's Depression Inventory (CDI; Kovacs, 1992) across ratings provided by clinic-referred children and adolescents with (N = 383) and without (N = 412) depressive disorders. Multiple-group confirmatory factor analysis of the Craighead, Smucker, Craighead, and Ilardi (1998) CDI model supported full measurement invariance and invariance for structural variances and covariances. Invariance for thresholds was also supported by multiple indicators multiple causes (MIMIC) procedures that controlled for the effects of age; sex; and the presence or absence of anxiety disorders, attention-deficit/hyperactivity disorder, and oppositional defiant/conduct disorders. The MIMIC analyses showed that for latent mean scores, the group with depressive disorders had higher scores, with at least medium effect sizes, for Self-Deprecation and Biological Dysregulation. The theoretical, psychometric, and clinical implications of the findings are discussed. © 2011 American Psychological Association.