Screen for Child Anxiety Related Emotional Disorders: Are subscale scores reliable? A bifactor model analysis
Highlights • The bifactor model fit the SCARED data well. • The score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. • After accounting for the general total score, subscale scores provided very little reliable information. • T...
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Published in: | Journal of anxiety disorders Vol. 28; no. 8; pp. 966 - 970 |
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Abstract | Highlights • The bifactor model fit the SCARED data well. • The score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. • After accounting for the general total score, subscale scores provided very little reliable information. • There is more common variance to the SCARED subscale scores than specific variance. |
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AbstractList | The aim of this study was to investigate the utility of creating and scoring subscales for the self-report version of the Screen for Child Anxiety Related Emotional Disorders (SCARED) by examining whether subscale scores provide reliable information after accounting for a general anxiety factor in a bifactor model analysis. A total of 2420 children aged 9-18 answered the SCARED in their schools. Results suggested adequate fit of the bifactor model. The SCARED score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. The explained common variance (ECV) for the general factor was large (63.96%). After accounting for the general total score (ωh=.83), subscale scores provided very little reliable information (ωh ranged from .005 to .04). Practitioners that use the SCARED should be careful when scoring and interpreting the instrument subscales since there is more common variance to them than specific variance. Highlights • The bifactor model fit the SCARED data well. • The score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. • After accounting for the general total score, subscale scores provided very little reliable information. • There is more common variance to the SCARED subscale scores than specific variance. •The bifactor model fit the SCARED data well.•The score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor.•After accounting for the general total score, subscale scores provided very little reliable information.•There is more common variance to the SCARED subscale scores than specific variance. The aim of this study was to investigate the utility of creating and scoring subscales for the self-report version of the Screen for Child Anxiety Related Emotional Disorders (SCARED) by examining whether subscale scores provide reliable information after accounting for a general anxiety factor in a bifactor model analysis. A total of 2420 children aged 9–18 answered the SCARED in their schools. Results suggested adequate fit of the bifactor model. The SCARED score variance was hardly influenced by the specific domains after controlling for the common variance in the general factor. The explained common variance (ECV) for the general factor was large (63.96%). After accounting for the general total score (ωh=.83), subscale scores provided very little reliable information (ωh ranged from .005 to .04). Practitioners that use the SCARED should be careful when scoring and interpreting the instrument subscales since there is more common variance to them than specific variance. |
Author | Zibetti, Murilo Ricardo DeSousa, Diogo Araújo Koller, Silvia Helena Salum, Giovanni Abrahão Trentini, Clarissa Marceli Manfro, Gisele Gus |
Author_xml | – sequence: 1 fullname: DeSousa, Diogo Araújo – sequence: 2 fullname: Zibetti, Murilo Ricardo – sequence: 3 fullname: Trentini, Clarissa Marceli – sequence: 4 fullname: Koller, Silvia Helena – sequence: 5 fullname: Manfro, Gisele Gus – sequence: 6 fullname: Salum, Giovanni Abrahão |
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CitedBy_id | crossref_primary_10_1080_10615806_2016_1271877 crossref_primary_10_1111_jopy_12382 crossref_primary_10_1016_j_trf_2016_02_009 crossref_primary_10_2478_sjecr_2018_0009 crossref_primary_10_1080_15374416_2019_1614001 crossref_primary_10_1017_thg_2019_98 crossref_primary_10_1080_07481756_2020_1735204 crossref_primary_10_1186_s40359_019_0326_8 |
Cites_doi | 10.1176/appi.books.9780890425596 10.1097/00004583-199704000-00018 10.1111/j.1467-6494.2011.00739.x 10.1007/s10578-012-0333-y 10.1590/S1516-44462011000200015 10.1016/j.psc.2009.06.002 10.1097/00004583-199910000-00011 10.1037/a0029228 10.1002/da.20633 10.1111/j.1469-7610.2010.02285.x 10.1080/00273171.2013.804398 10.1080/10705519909540118 10.1016/j.janxdis.2011.03.015 10.1080/00273171.2012.715555 10.1037/a0027283 |
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Keywords | Factor structure Psychometrics Anxiety Screen for Child Anxiety Related Emotional Disorders Bifactor model Infantile experience Models Emotional disorder Anxiety disorder |
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reliability in the WAIS-IV publication-title: Multivariate Behavioral Research doi: 10.1080/00273171.2013.804398 contributor: fullname: Gignac – year: 2013 ident: 10.1016/j.janxdis.2014.10.002_bib0050 article-title: A bifactor model of anxiety sensitivity: analysis of the Anxiety Sensitivity Index-3 publication-title: Journal of Psychopathology and Behavioral Assessment contributor: fullname: Ebesutani – volume: 6 start-page: 1 year: 1999 ident: 10.1016/j.janxdis.2014.10.002_bib0070 article-title: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives publication-title: Structural Equation Modeling doi: 10.1080/10705519909540118 contributor: fullname: Hu – volume: 35 start-page: S3 issue: Suppl. 1 year: 2013 ident: 10.1016/j.janxdis.2014.10.002_bib0090 article-title: Pediatric anxiety disorders: from neuroscience to evidence-based clinical practice publication-title: Revista Brasileira de Psiquiatria contributor: fullname: Salum – volume: 25 start-page: 741 year: 2011 ident: 10.1016/j.janxdis.2014.10.002_bib0075 article-title: Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED) in Brazilian children and adolescents publication-title: Journal of Anxiety Disorders doi: 10.1016/j.janxdis.2011.03.015 contributor: fullname: Isolan – volume: 47 start-page: 667 issue: 5 year: 2012 ident: 10.1016/j.janxdis.2014.10.002_bib0080 article-title: The rediscovery of bifactor measurement models publication-title: Multivariate Behavior Research doi: 10.1080/00273171.2012.715555 contributor: fullname: Reise – volume: 24 start-page: 833 issue: 4 year: 2012 ident: 10.1016/j.janxdis.2014.10.002_bib0055 article-title: The Revised Child Anxiety and Depression Scale-Short Version: scale reduction via exploratory bifactor modeling of the broad anxiety factor publication-title: Psychological Assessment doi: 10.1037/a0027283 contributor: fullname: Ebesutani |
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Snippet | Highlights • The bifactor model fit the SCARED data well. • The score variance was hardly influenced by the specific domains after controlling for the common... •The bifactor model fit the SCARED data well.•The score variance was hardly influenced by the specific domains after controlling for the common variance in the... The aim of this study was to investigate the utility of creating and scoring subscales for the self-report version of the Screen for Child Anxiety Related... |
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SubjectTerms | Adolescent Adult and adolescent clinical studies Affective Symptoms - diagnosis Affective Symptoms - psychology Age Factors Anxiety Anxiety - diagnosis Anxiety - psychology Anxiety Disorders - diagnosis Anxiety Disorders - psychology Anxiety disorders. Neuroses Bifactor model Biological and medical sciences Child Factor structure Female Humans Male Medical sciences Psychiatry Psychology. Psychoanalysis. Psychiatry Psychometrics Psychopathology. Psychiatry Screen for Child Anxiety Related Emotional Disorders Self Report Sex Factors |
Title | Screen for Child Anxiety Related Emotional Disorders: Are subscale scores reliable? A bifactor model analysis |
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