Validating the factor structure of the Self-Report Psychopathy Scale in a community sample.

2011 ◽  
Vol 23 (3) ◽  
pp. 670-678 ◽  
Author(s):  
Mehmet K. Mahmut ◽  
Con Menictas ◽  
Richard J. Stevenson ◽  
Judi Homewood
Keyword(s):  
Factor Structure ◽  
Community Sample ◽  
The Self ◽  
Self Report

scholarly journals Factor Structure and Construct Validity of the Proposed Specifiers for Conduct Disorder (PSCD) Scale in Chinese Adolescents

Assessment ◽  
2020 ◽  
pp. 107319112094991 ◽  
Author(s):  
Jie Luo ◽  
Meng-Cheng Wang ◽  
Craig S. Neumann ◽  
Robert D. Hare ◽  
Randall T. Salekin
Keyword(s):  
Conduct Disorder ◽  
Factor Structure ◽  
Mainland China ◽  
Preliminary Evidence ◽  
Psychopathic Traits ◽  
Chinese Adolescents ◽  
The Self ◽  
Self Report ◽  
Confirmatory Factor Analyses ◽  
New Instrument

The Proposed Specifiers for Conduct Disorder (PSCD) Scale is a new measure to assess psychopathic traits and symptoms of conduct disorder (CD) in children and adolescents. The current study examined the psychometric properties of the self-report version of the PSCD in a sample of community adolescents in mainland China ( N = 1,683; mean age = 13.60, SD = 1.14; 54.1% boys). The new instrument showed good internal consistency (alpha) for the 24-item total scale and good mean interitem correlations for each of the six-item subscales. Confirmatory factor analyses (CFAs) were conducted on all 24 items, and also a subset of 13 items that demonstrated strong item-level reliabilities. Using all 24 items, CFA results supported a four-factor bifactor model indicating the total score reflects a broad syndrome with four factors. The four factors included grandiose–manipulative traits (GM traits), callous–unemotional traits (CU traits), daring–impulsive traits (DI traits), and CD traits. The 13-item CFA results provided further support for a four-factor conceptualization of the PSCD and evidence of strong measurement invariance across gender. Finally, the PSCD exhibited the expected relations with other psychopathy measures, anxiety and depression, and aggression, supporting the PSCD scores convergent, discriminant, and criterion related validity. The findings provide preliminary evidence for the four-factor structure of the PSCD and support for the utility of the self-report PSCD for measuring psychopathic traits and CD in Chinese adolescents.

197 Refining the Subjective Assessment of Sleep: An SEM Approach

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A79-A79
Author(s):  
Sahar Sabet ◽  
Joseph Dzierzewski ◽  
Natalie Dautovich
Keyword(s):  
Factor Analysis ◽  
Sleep Disturbance ◽  
Factor Structure ◽  
Community Sample ◽  
Severity Index ◽  
Subjective Assessment ◽  
Self Report ◽  
Use Of Time ◽  
Daytime Impairment ◽  
Using Data

Abstract Introduction Given that sleep is multidimensional, the assessment of sleep requires an examination of a number of different domains. Accordingly, there is an abundance of self-report sleep questionnaires that are widely used for both research and clinical use. The surplus of available measures can be problematic, as it often leads to difficulties in selecting the best measure for a given purpose/context. In addition, the use of multiple measures to assess sleep may be an inefficient use of time and resources if they are not measuring unique constructs. The purpose of the current study is to evaluate the factor structure of five sleep measures. A confirmatory factor analysis (CFA) was initially used to evaluate whether each of these scales are measuring different factors of sleep, with follow-up exploratory factor analysis (EFA) as needed. Methods An archival analysis was performed using data from an online study, Investigating Sleep Across Normal Development (ISLAND Study). The sample consisted of 3,284 adults aged 18+. The following measures were utilized: RU SATED, PROMIS Sleep-Related Impairment, Sleep Self-Efficacy, Insomnia Severity Index, and the Sleep Regularity Questionnaire. Results As expected, the CFA model fit was determined to be poor and an EFA was then conducted to assess the factor structure of these scales. The EFA revealed a four-factor structure comprised of 25 items: Sleep-Related Daytime Impairment, Sleep Regularity, Sleep Disturbance, and Sleep-Related Daytime Enhancement. Conclusion The findings from the current study add to the literature supporting the multidimensionality of sleep, as well as the continued need to assess the various facets that comprise this construct. Although the literature supports the utility of these five measures, the present study found that within a community sample, these measures are not entirely unique. Further, the present study extends our knowledge and the literature by revealing a novel factor of sleep – Sleep-Related Daytime Enhancement. It may be worthwhile for researchers and clinicians to consider latent sleep factors that contribute to sleep disturbance and sleep health. Future work is needed to further confirm the observed factor structure and assess the psychometrics of this new scale. Support (if any) National Institute on Aging (K23AG049955, PI: Dzierzewski).

scholarly journals Utility of the SWAN Scale for ADHD Trait-Based Genetic Research: A Validity and Polygenic Risk Study

2018 ◽  
Author(s):  
Christie L. Burton ◽  
Leah Wright ◽  
Janet Shan ◽  
Bowei Xiao ◽  
Annie Dupuis ◽  
...  
Keyword(s):  
Community Sample ◽  
Genetic Research ◽  
The Self ◽  
Self Report ◽  
Obsessive Compulsive ◽  
Cut Points ◽  
Adhd Diagnosis ◽  
Polygenic Risk ◽  
Compulsive Disorder ◽  
Behavior Rating Scale

AbstractBackgroundValid and genetically-informative trait measures of psychopathology collected in the general population would provide a powerful complement to case/control genetic designs. We report the convergent, predictive and discriminant validity of the parent- and the self-report versions of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Rating Scale (SWAN) for attention-deficit/hyperactivity disorder (ADHD) traits. We tested if SWAN ADHD scores were associated with ADHD diagnosis, ADHD polygenic risk, as well as with traits and polygenic risk for co-occurring disorders such as anxiety and obsessive-compulsive disorder (OCD).MethodsWe collected parent- and self-report SWAN scores in a community sample (n=15,560; 6-18 years of age) and created norms. Sensitivity-specificity analyses determined SWAN cut-points that discriminated those with a community ADHD diagnosis (n=972) from those without a community diagnosis. We validated cut-points from the community sample in a clinical sample (266 ADHD cases; 36 controls). We tested if SWAN scores were associated with anxiety and obsessive-compulsive (OC) traits and polygenic risk for ADHD, OCD and anxiety disorders.ResultsBoth the parent- and the self-report SWAN measures showed high convergent validity with established ADHD measures and distinguished ADHD participants with high sensitivity and specificity in the community sample. Cut-points established in the community sample discriminated ADHD clinic cases from controls with a sensitivity of 86% and specificity of 94%. High parent- and self-report SWAN scores and scores above the community-based cut-points were associated with polygenic risk for ADHD. High ADHD traits were associated with high anxiety traits, but not OC traits. SWAN scores were not associated with OCD or anxiety disorder polygenic risk.ConclusionThe parent- and self-report SWAN are potentially useful in genetic research because they predict ADHD diagnoses and are associated with ADHD polygenic risk.

scholarly journals The Spanish Version of the Self-Statements During Public Speaking Scale

2010 ◽  
Vol 26 (2) ◽  
pp. 129-135 ◽  
Author(s):  
Raul Rivero ◽  
LuisJoaquin Garcia-Lopez ◽  
Stefan G. Hofmann
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Social Anxiety Disorder ◽  
Cognitive Processes ◽  
Public Speaking ◽  
Community Sample ◽  
The Self ◽  
Self Report ◽  
Spanish Version ◽  
Control Group

Contemporary theories of social anxiety emphasize the role of cognitive processes. Although social anxiety disorder is one of the most common mental health problems in adolescents, there are very few self-report instruments available to measure cognitive processes related to social anxiety in adolescents, let alone non-English instruments. The Self-Statements During Public Speaking Scale (SSPS; Hofmann & DiBartolo, 2000 ) is a brief self-report measure designed to assess self-statements related to public speaking, the most commonly feared social performance situation. In order to fill this gap in the literature, we translated the SSPS into Spanish and administered it to 1,694 adolescents from a community sample, a clinical sample composed of 71 subjects with a principal diagnosis of social anxiety disorder, and a clinical control group consisting of 154 patients. The scale showed good psychometric properties, supporting the use of the Spanish version of the SSPS in adolescents.

Establishing the Psychometric Properties of the Self-Report Liebowitz Social Anxiety Scale for Children and Adolescents in a General Population Adolescent Sample

2021 ◽  
pp. 1-8
Author(s):  
Eleanor Leigh ◽  
David M. Clark
Keyword(s):  
Social Anxiety ◽  
Psychometric Properties ◽  
Children And Adolescents ◽  
Factor Structure ◽  
Avoidance Performance ◽  
Anxiety Scale ◽  
The Self ◽  
Self Report ◽  
Language Version ◽  
Liebowitz Social Anxiety Scale

Abstract. The Liebowitz Social Anxiety Scale for Children and Adolescents (LSAS-CA) is a valid and reliable clinician-administered measure of social anxiety symptoms in young people. It has been adapted for self-report completion, and although the psychometric properties of this version of the scale have been examined in Spanish, Hebrew, and French language versions, this has not yet been done for the English language version. In the present study, we examined the factor structure and psychometric properties of the self-report version of the scale (LSAS-CA-SR) in a sample of UK adolescents recruited from schools. The factor structure of the scale was determined in our sample of N = 829; a four-factor structure, with interaction anxiety, interaction avoidance, performance anxiety, and performance-avoidance subscales, provided the best fit to the data. Measurement invariance of the scale was demonstrated across age and gender. Psychometric properties of the scale were sound, with good internal consistency (.88–.97), acceptable test-retest reliability (.45–.57), and evidence for convergent and divergent validity.

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