Measuring Negative and Positive Thoughts in Children: An Adaptation of the Children’s Automatic Thoughts Scale (CATS)

Hogendoorn, Sanne M.; Wolters, Lidewij H.; Vervoort, Leentje; Prins, Pier J. M.; Boer, Frits; Kooij, Emelie; Haan, Erik de

doi:10.1007/s10608-010-9306-2

Cited by 46 publications

(54 citation statements)

References 34 publications

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“…In addition, negative and positive automatic thoughts were measured using the Children's Automatic Thoughts Scale-Negative/Positive (CATS-N/P; Hogendoorn et al, 2010).…”

Section: Case Examplementioning

confidence: 99%

Evaluating Statistical and Clinical Significance of Intervention Effects in Single-Case Experimental Designs: An SPSS Method to Analyze Univariate Data

et al. 2015

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Single-case experimental designs are useful methods in clinical research practice to investigate individual client progress. Their proliferation might have been hampered by methodological challenges such as the difficulty applying existing statistical procedures. In this article, we describe a data-analytic method to analyze univariate (i.e., one symptom) single-case data using the common package SPSS. This method can help the clinical researcher to investigate whether an intervention works as compared with a baseline period or another intervention type, and to determine whether symptom improvement is clinically significant. First, we describe the statistical method in a conceptual way and show how it can be implemented in SPSS. Simulation studies were performed to determine the number of observation points required per intervention phase. Second, to illustrate this method and its implications, we present a case study of an adolescent with anxiety disorders treated with cognitive-behavioral therapy techniques in an outpatient psychotherapy clinic, whose symptoms were regularly assessed before each session. We provide a description of the data analyses and results of this case study. Finally, we discuss the advantages and shortcomings of the proposed method.

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“…In addition, negative and positive automatic thoughts were measured using the Children's Automatic Thoughts Scale-Negative/Positive (CATS-N/P; Hogendoorn et al, 2010).…”

Section: Case Examplementioning

confidence: 99%

Evaluating Statistical and Clinical Significance of Intervention Effects in Single-Case Experimental Designs: An SPSS Method to Analyze Univariate Data

et al. 2015

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“…Schniering and Rapee [24] found no significant differences between children aged 7-11 years and adolescents aged 12-16 years on any of the subscales of the CATS. In contrast, Hogendoorn et al [28] found that children aged 8-11 years reported more negative thoughts related to threat and failure than adolescents aged 12-18 years.…”

Section: Introductionmentioning

confidence: 88%

“…For example, boys report more hostile thoughts than girls [24,28], while girls report more social threat and failure thoughts than boys [24]. Age effects have been less consistent.…”

Section: Introductionmentioning

confidence: 95%

Psychometric Properties of the Children’s Automatic Thoughts Scale (CATS) in Chinese Adolescents

Sun

Rapee

Tao

et al. 2014

Child Psychiatry Hum Dev

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The Children's Automatic Thoughts Scale (CATS) is a 40-item self-report questionnaire designed to measure children's negative thoughts. This study examined the psychometric properties of the Chinese translation of the CATS. Participants included 1,993 students (average age = 14.73) from three schools in Mainland China. A subsample of the participants was retested after 4 weeks. Confirmatory factor analysis replicated the original structure with four first-order factors loading on a single higher-order factor. The convergent and divergent validity of the CATS were good. The CATS demonstrated high internal consistency and test-retest reliability. Boys scored higher on the CATS-hostility subscale, but there were no other gender differences. Older adolescents (15-18 years) reported higher scores than younger adolescents (12-14 years) on the total score and on the physical threat, social threat, and hostility subscales. The CATS proved to be a reliable and valid measure of automatic thoughts in Chinese adolescents.

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“…This group participated in a validation study of the Children's Automatic Thoughts Scale-Negative/Positive (CATS-N/P). Detailed sample characteristics of this group are described elsewhere (Hogendoorn et al, 2010). Children in this group were screened for emotional problems with the SDQ (Strength and Difficulties Questionnaire, Goodman, 1997;Dutch version Van Widenfelt et al, 2003) and the STAIC-trait (Spielberger State Trait Inventory for Children-trait subscale; Spielberger, Edwards, Lushene, Montuori, & Platzek, 1973).…”

Section: Participantsmentioning

confidence: 99%

Positive thinking in anxiety disordered children reconsidered

Hogendoorn¹,

Prins²,

Vervoort³

et al. 2012

Journal of Anxiety Disorders

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Negatively valenced thoughts are assumed to play a central role in the development and maintenance of anxiety. However, the role of positive thoughts in anxiety is rather unclear. In the current study we examined the role of negative and positive self-statements in the anxiety level of anxious and non-anxious children. Participants were 139 anxiety disordered children and 293 non-anxious children (8-18 years). Compared to non-anxious children, anxious children reported more negative thoughts, less positive thoughts and lower State of Mind (SOM) ratios (ratio of positive to negative thoughts). Negative thoughts and SOM ratios were the strongest predictors of anxiety level in anxious children; whereas both negative and positive thoughts were the strongest predictors of anxiety level in non-anxious children. To conclude, a lack of positive thoughts might be more than just an epiphenomenon of anxiety level and might deserve a place in the cognitive model of anxiety.

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Measuring Negative and Positive Thoughts in Children: An Adaptation of the Children’s Automatic Thoughts Scale (CATS)

Cited by 46 publications

References 34 publications

Evaluating Statistical and Clinical Significance of Intervention Effects in Single-Case Experimental Designs: An SPSS Method to Analyze Univariate Data

Evaluating Statistical and Clinical Significance of Intervention Effects in Single-Case Experimental Designs: An SPSS Method to Analyze Univariate Data

Psychometric Properties of the Children’s Automatic Thoughts Scale (CATS) in Chinese Adolescents

Positive thinking in anxiety disordered children reconsidered

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