11.1 History of the Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder—Symptom and Normal-Behavior Rating Scales: From 1990 to 2016

Objectives: The goal of this session is to provide a brief history of the rationale for the development of the Strengths and Weakness of ADHD symptoms and Normal-behavior (SWAN) rating scale, as well as a survey of its applications and evidence for its advantages over conventionally designed questio...

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Veröffentlicht in:Journal of the American Academy of Child and Adolescent Psychiatry 2016-10, Vol.55 (10), p.S274-S274
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description Objectives: The goal of this session is to provide a brief history of the rationale for the development of the Strengths and Weakness of ADHD symptoms and Normal-behavior (SWAN) rating scale, as well as a survey of its applications and evidence for its advantages over conventionally designed questionnaires. Methods: The mathematics of using statistical cutoffs based on 0 to 3 ratings of ADHD symptoms that define abnormal behavior (weaknesses) identified a potentially serious flaw for applications in the clinical practice. In the population, a high percentage of scores will be centered between 0 and 1, generating a highly skewed distribution. If strengths are not measured and scored, the variance of the truncated distribution is reduced. Statistical cutoffs based on total scores, z-scores, or T-scores and the assumptions of normality (e.g., mean + 1.65 SD) may over-identify or under-identify extreme cases in the skewed distribution. By rewording the items, the SWAN scale captured the opposite of weaknesses (strengths) by expanding the four-point scale of symptom presence (0 ="not at all" to 3 ="very much") to a sevenpoint scale with symptoms denoted by weaknesses (0 ="average" to 3 = "far below average") and the opposites by strengths ("far above average" =-3). The first papers presenting the SWAN were rejected. An early presentation in 2000 to the ADHD Molecular Genetics Network led to a group consensus to adopt the SWAN, although this decision was later overturned. However, several investigators used the SWAN before its eventual official publication more than a decade later. Results: Many published studies show the value of capturing variance associated with both strengths and weaknesses to generate a near-normal distribution of ratings in epidemiological sample groups. The non-normal distributions of other scales [Conners; DuPaul; Swanson, Nolan and Pelham (SNAP); Strengths and Difficulties Questionnaire; Child Behavior Checklist; and etc.] and the application of the SWAN to measure ADHD as a dimension will be presented and discussed. Conclusions: With a focus on ADHD, the SWAN provides a model by which the symptomatology specified for DSM-5 diagnoses can be converted into behaviors that extend from nonclinical to clinical ranges. The data reviewed across studies demonstrate the potential advantages of using the SWAN in research studies.
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Methods: The mathematics of using statistical cutoffs based on 0 to 3 ratings of ADHD symptoms that define abnormal behavior (weaknesses) identified a potentially serious flaw for applications in the clinical practice. In the population, a high percentage of scores will be centered between 0 and 1, generating a highly skewed distribution. If strengths are not measured and scored, the variance of the truncated distribution is reduced. Statistical cutoffs based on total scores, z-scores, or T-scores and the assumptions of normality (e.g., mean + 1.65 SD) may over-identify or under-identify extreme cases in the skewed distribution. By rewording the items, the SWAN scale captured the opposite of weaknesses (strengths) by expanding the four-point scale of symptom presence (0 ="not at all" to 3 ="very much") to a sevenpoint scale with symptoms denoted by weaknesses (0 ="average" to 3 = "far below average") and the opposites by strengths ("far above average" =-3). The first papers presenting the SWAN were rejected. An early presentation in 2000 to the ADHD Molecular Genetics Network led to a group consensus to adopt the SWAN, although this decision was later overturned. However, several investigators used the SWAN before its eventual official publication more than a decade later. Results: Many published studies show the value of capturing variance associated with both strengths and weaknesses to generate a near-normal distribution of ratings in epidemiological sample groups. The non-normal distributions of other scales [Conners; DuPaul; Swanson, Nolan and Pelham (SNAP); Strengths and Difficulties Questionnaire; Child Behavior Checklist; and etc.] and the application of the SWAN to measure ADHD as a dimension will be presented and discussed. Conclusions: With a focus on ADHD, the SWAN provides a model by which the symptomatology specified for DSM-5 diagnoses can be converted into behaviors that extend from nonclinical to clinical ranges. 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Methods: The mathematics of using statistical cutoffs based on 0 to 3 ratings of ADHD symptoms that define abnormal behavior (weaknesses) identified a potentially serious flaw for applications in the clinical practice. In the population, a high percentage of scores will be centered between 0 and 1, generating a highly skewed distribution. If strengths are not measured and scored, the variance of the truncated distribution is reduced. Statistical cutoffs based on total scores, z-scores, or T-scores and the assumptions of normality (e.g., mean + 1.65 SD) may over-identify or under-identify extreme cases in the skewed distribution. By rewording the items, the SWAN scale captured the opposite of weaknesses (strengths) by expanding the four-point scale of symptom presence (0 ="not at all" to 3 ="very much") to a sevenpoint scale with symptoms denoted by weaknesses (0 ="average" to 3 = "far below average") and the opposites by strengths ("far above average" =-3). The first papers presenting the SWAN were rejected. An early presentation in 2000 to the ADHD Molecular Genetics Network led to a group consensus to adopt the SWAN, although this decision was later overturned. However, several investigators used the SWAN before its eventual official publication more than a decade later. Results: Many published studies show the value of capturing variance associated with both strengths and weaknesses to generate a near-normal distribution of ratings in epidemiological sample groups. The non-normal distributions of other scales [Conners; DuPaul; Swanson, Nolan and Pelham (SNAP); Strengths and Difficulties Questionnaire; Child Behavior Checklist; and etc.] and the application of the SWAN to measure ADHD as a dimension will be presented and discussed. Conclusions: With a focus on ADHD, the SWAN provides a model by which the symptomatology specified for DSM-5 diagnoses can be converted into behaviors that extend from nonclinical to clinical ranges. 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subjects Application
Attention deficit hyperactivity disorder
Averages
Behavior
Behavior Rating Scales
Check Lists
Child & adolescent psychiatry
Child Behavior
Child Behaviour Checklist
Child development
Clinical medicine
Data processing
Genetics
Hyperactivity
Mathematics
Molecular genetics
Normal distribution
Normality
Pediatrics
Psychiatry
Quantitative psychology
Questionnaires
Statistical analysis
Statistics
Strength
title 11.1 History of the Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder—Symptom and Normal-Behavior Rating Scales: From 1990 to 2016
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