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Chorpita, Bruce F.; Daleiden, Eric L.; Moffitt, Catherine; Yim, Letitia; Umemoto, Lori A.

doi:10.1023/a:1007584423617

Cited by 79 publications

(23 citation statements)

References 27 publications

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Section: Discussionsupporting

confidence: 69%

“…Specifically, Chorpita et al (2000) showed that covariance between the anhedonic and physiological hyperarousal factors was attributable to the NA factor as supported here. The similarity in results is surprising in the sense that the DASS-21 self-report measure was not specifically designed to capture tripartite symptomatology, a limitation of many studies that has been noted in the literature (Chorpita et al 2000). However, as described in the methods section, the DASS item pool and scale was originally developed by Lovibond and Lovibond (Lovibond and Lovibond 1995) to maximally differentiate depression from anxiety and this methodology parallels the tripartite aims of discriminating between these two interrelated negative emotions (Clark and Watson 1991).…”

Section: Discussionsupporting

confidence: 69%

“…Having analyzed the Child Depression Inventory (CDI), the Revised Children's Manifest Anxiety Scale (RCMAS), and the Positive and Negative Affect Schedule, the authors reported that a tripartite factor first order solution with oblique rotation was the most defensible against competing models consisting of depression and anxiety only, or a hierarchical arrangement with a higher order NA factor. More recently, Chorpita et al (2000) performed confirmatory factor analysis (CFA) on a pool of 27 items from various existing scales and reported good model fit for three orthogonal factors resembling depression, physiological hyperarousal and NA. In this study, the covariance between depression and anxiety factors was attributable to the higher order NA factor.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Structure of Anxiety and Depression in a Normative Sample of Younger and Older Australian Adolescents

Tully

Zajac

Venning

2009

J Abnorm Child Psychol

140

128

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It has been reported that depression and anxiety have overlapping symptoms and are conceptually interrelated. One of the most prominent theoretical developments that explain this association is Clark and Watson's tripartite model (Journal of Abnormal Psychology, 100:316-336, 1991) that posits these two disorders and negative emotions share a latent component of negative affect (NA). The current study had two aims, (a) to compare a tripartite factor structure against competing models by Confirmatory Factor Analysis (CFA) of the Depression Anxiety and Stress Scales (DASS-21) (Lovibond and Lovibond 1995), and (b) explore the psychometric properties of the DASS-21. The DASS-21 was completed by a representative sample of 4039 young Australians, aged 12-18 years, as part of the South Australian Youth Mental Health Survey (SAYMHS), South Australia, Australia. The best fitting model for the data consisted of anhedonic depression, physiological hyperarousal, and general NA. The psychometric properties of the DASS-21 were excellent with a stable and interpretable factor structure and good internal consistency. The results of the current study suggest that the theoretical tripartite structure of depression and anxiety is robust and applicable among Australian youth. The diagnostic, clinical and theoretical implications of these findings are discussed.

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Section: Discussionsupporting

confidence: 69%

Section: Discussionsupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Structure of Anxiety and Depression in a Normative Sample of Younger and Older Australian Adolescents

Tully

Zajac

Venning

2009

J Abnorm Child Psychol

140

128

View full text Add to dashboard Cite

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“…Responses to each of the 38 items are summed to create a total score, ranging from 0 to 114. The SCAS has good psychometric properties in non-autistic samples (Orgilés et al 2016), including good test–retest reliability (Spence 1997), internal consistency (α = .92, Muris et al 2000) and convergent validity (Brown-Jacobsen et al 2011; Chorpita et al 2000). The SCAS has also shown to have good internal consistency in autistic children (Cronbach’s alpha = .90, Boulter et al 2014).…”

Section: Methodsmentioning

confidence: 99%

Anxiety and Interpretation of Ambiguity in Autistic Children, Typical Children and Their Mothers

Neil

White

Warren

et al. 2018

J Autism Dev Disord

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Anxiety is highly prevalent in autistic children. Yet interpretation biases implicated in anxiety in non-autistic individuals have received little research attention in this group. Twenty-two autistic children and 25 typical children completed an ambiguous scenarios interview and questionnaire-based measures of anxiety. A subsample of mothers completed parent-report and adult relevant versions of the interview and anxiety questionnaires. Autistic children self-reported similar interpretations of ambiguous scenarios, and similar levels of anxiety, to their typical peers. In contrast, mothers of autistic children reported greater levels of anxiety, and more negative interpretations of ambiguous scenarios in both their children and themselves, relative to mothers of typical children. These data highlight the importance of including autistic children’s self-reports when measuring and treating anxiety.

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“…Furthermore, with the exception of an investigation carried out by Sanmartín et al (2018a) in Spanish children, the existing studies have focused only on analyzing the relationships between the dimensions of positive and negative affect and the factors of the functional model, without considering the affective profiles model. In this regard, in the study by Higa et al (2002), which sought to evaluate the psychometric properties of SRAS, positive and significant correlations were found between negative affect (measured through the Affect and Arousal Scale for Children, AFARS, Chorpita et al, 2000) and the first three SRAS factors, not being significant for the fourth factor. This study was conducted on 30 American children ranging in age from 8.11 to 17.8 years.…”

Section: Introductionmentioning

confidence: 99%

Affective Profiles and Anxiety or Non-Anxiety-Related Reasons for School Refusal Behavior: Latent Profile Analysis in Spanish Adolescents

et al. 2021

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Little has been studied on the relationship between affect and school problems related with attendance. This study aims to identify different affective profiles and to determine whether these profiles differ from each other based on the four functional conditions of school refusal behavior. Participants comprised 1,816 Spanish adolescents aged 15–18 years (M = 16.39; SD = 1.05). The Positive and Negative Affect Schedule for Children-Short Form and the School Refusal Assessment Scale-Revised for Children (SRAS-R-C) were administered. Latent profile analysis revealed five affective profiles: low affective profile, self-fulfilling profile, low positive affect profile, self-destructive profile, and high affective profile. The self-destructive profile revealed the highest average scores in the first three factors of the SRAS-R-C, whereas the high affective profile reached the highest average score in the fourth factor. On the contrary, the self-fulfilling profile obtained the lowest average scores in the first two factors of the SRAS-R-C, whereas the low affective profile revealed the lowest average scores in the last two factors. Findings suggest the relevance of developing more adaptative affective profiles, such as the self-fulfilling profile, which would contribute to diminishing school attendance problems.

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Cited by 79 publications

References 27 publications

The Structure of Anxiety and Depression in a Normative Sample of Younger and Older Australian Adolescents

The Structure of Anxiety and Depression in a Normative Sample of Younger and Older Australian Adolescents

Anxiety and Interpretation of Ambiguity in Autistic Children, Typical Children and Their Mothers

Affective Profiles and Anxiety or Non-Anxiety-Related Reasons for School Refusal Behavior: Latent Profile Analysis in Spanish Adolescents

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