The Anxiety Severity Interview for Children and Adolescents: An Individualized Repeated Measure of Anxiety Severity

Hogendoorn, Sanne M.; Haan, Erik de; Wolters, Lidewij H.; Vervoort, Leentje; Prins, Pier J. M.; Bourgraaf, Annika de; Scheerman, Nicolien A C; Nauta, Maaike; Hartman, Catharina A.; Boer, Frits; Goodman, Wayne K.

doi:10.1002/cpp.1863

Cited by 2 publications

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References 31 publications

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“…Each A and B phase (see Figure 7.1) consisted of five weekly sessions of either exposure or cognitive therapy. Weekly assessments of anxious symptoms were conducted (Hogendoorn et al, 2013), and the data is presented in panel A ( Figure 7.1). As different types of anxiety disorders can be characterized by different types of cognitions, negative cognitions are measured with weekly idiosyncratic assessment (personalized questionnaire) using five items from the Children's Automatic Thought Scale-Negative (CATS-N; Hogendoorn et al, 2010) that was administered at pre-treatment.…”

Section: Clinical Case Examplementioning

confidence: 99%

Small Sample Size Solutions

Schoot¹,

Miočević²

2020

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Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.

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Section: Clinical Case Examplementioning

confidence: 99%

Small Sample Size Solutions

Schoot¹,

Miočević²

2020

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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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The Anxiety Severity Interview for Children and Adolescents: An Individualized Repeated Measure of Anxiety Severity

Cited by 2 publications

References 31 publications

Small Sample Size Solutions

Small Sample Size Solutions

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

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