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Knowledge About Treatment, Anxiety, and Depression in Association With Internet-Based Cognitive Behavioral Therapy for Adolescents: Development and Initial Evaluation of a New Test

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  • Matilda Berg
  • Gerhard Andersson
  • Alexander Rozental

Abstract

Evaluating knowledge and learning in psychotherapy is a growing field of research. Studies that develop and evaluate valid tests are lacking, however. Here, in the context of internet-based cognitive behavioral therapy (ICBT) for adolescents, a new test was developed using subject matter experts, consensus among researchers, self-reports by youths, and a literature review. An explorative factor analysis was performed on 93 adolescents between 15 and 19 years old, resulting in a three-factor solution with 20 items, accounting for 41% of the total variance. The factors were Act in aversive states, Using positive reinforcement , and Shifting attention . The internal consistency for the whole instrument was good (α = .84). Hopefully, the procedure presented here can contribute to the field by illustrating one way of evaluating knowledge in ICBT. The clinical use of the knowledge test needs further investigation.

Suggested Citation

  • Matilda Berg & Gerhard Andersson & Alexander Rozental, 2020. "Knowledge About Treatment, Anxiety, and Depression in Association With Internet-Based Cognitive Behavioral Therapy for Adolescents: Development and Initial Evaluation of a New Test," SAGE Open, , vol. 10(1), pages 21582440198, January.
  • Handle: RePEc:sae:sagope:v:10:y:2020:i:1:p:2158244019899095
    DOI: 10.1177/2158244019899095
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    References listed on IDEAS

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    1. David Daniel Ebert & Anna-Carlotta Zarski & Helen Christensen & Yvonne Stikkelbroek & Pim Cuijpers & Matthias Berking & Heleen Riper, 2015. "Internet and Computer-Based Cognitive Behavioral Therapy for Anxiety and Depression in Youth: A Meta-Analysis of Randomized Controlled Outcome Trials," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-15, March.
    2. J. C.F. de Winter & D. Dodou, 2012. "Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(4), pages 695-710, August.
    3. Tiedens, Larissa Z. & Linton, Susan, 2001. "Judgment under Emotional Uncertainty: The Effects of Specific Emotions and Their Associated Certainty Appraisals on Information Processing," Research Papers 1629, Stanford University, Graduate School of Business.
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    1. Jinghan Hu & Xiaoyu Zhang & Ruonan Li & Jianxin Zhang & Wencai Zhang, 2023. "A Randomized Controlled Trial to Evaluate the Effect of Metaphors on Anxiety Symptoms Among Chinese Graduate Students: The Mediation Effect of Worry," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(2), pages 849-867, April.

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