scholarly journals Validity of the Friedrich Short Form of the Questionnaire on Resources and Stress in Parents of Individuals with Autism Spectrum Disorder

2021 ◽  
Vol 18 (22) ◽  
pp. 12174
Author(s):  
Eun-Young Park
Keyword(s):  
Autism Spectrum Disorder ◽  
Factor Structure ◽  
Factor Model ◽  
Short Form ◽  
Pearson Correlation ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Systematic Sampling ◽  
Confirmatory Factor Analyses ◽  
Caregiving Burden

There is insufficient knowledge about the psychometric properties of the Friedrich short form of the Questionnaire on Resources and Stress (QRS-F) used to measure the caregiving burden of caregivers of individuals with autism spectrum disorder (ASD). The present study, therefore, aimed to confirm the validity of the QRS-F. The data selected using the systematic sampling method were analyzed to verify the factor structure of the QRS-F on parents of individuals with ASD. Exploratory and confirmatory factor analyses were employed to confirm the validity and the factor structure of the scale. The Pearson correlation coefficient was calculated to verify the relation with other measures. The original factor model was not appropriate to assess the caregiving burden on parents of individuals with ASD because the models did not show adequate fit indices. The evaluation of results based on a total score was explored, which demonstrated the expected association between depression severity and caregiving time. Overall, this study supports the use of the QRS-F for measuring the caregiving burden of parents of individuals with ASD by comparing the total score with other related variables.

scholarly journals Sensory Processing and Aggressive Behavior in Adults with Autism Spectrum Disorder

2021 ◽  
Vol 11 (1) ◽  
pp. 95
Author(s):  
Frank van den Boogert ◽  
Bram Sizoo ◽  
Pascalle Spaan ◽  
Sharon Tolstra ◽  
Yvonne H. A. Bouman ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Aggressive Behavior ◽  
Sensory Processing ◽  
Short Form ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sensory Profile ◽  
Sensory Sensitivity ◽  
Aggression Questionnaire ◽  
Adults With Asd

Autism spectrum disorder (ASD) may be accompanied by aggressive behavior and is associated with sensory processing difficulties. The present study aims to investigate the direct association between sensory processing and aggressive behavior in adults with ASD. A total of 101 Dutch adult participants with ASD, treated in outpatient or inpatient facilities, completed the Adolescent/Adult Sensory Profile (AASP), the Reactive-Proactive Aggression Questionnaire (RPQ), and the Aggression Questionnaire—Short Form (AQ-SF). Results revealed that sensory processing difficulties are associated with more aggressive behavior (f2=0.25), more proactive (f2=0.19) and reactive aggression (f2=0.27), more physical (f2=0.08) and verbal aggression (f2=0.13), and more anger (f2=0.20) and hostility (f2=0.12). Evidence was found for an interaction of the neurological threshold and behavioral response on total aggression and hostility. Participants with higher scores in comparison to the norm group in sensory sensitivity had the highest risk of aggressive behavior. In conclusion, clinical practice may benefit from applying detailed diagnostics on sensory processing difficulties when treating aggressive behavior in adults with ASD.

Attention deficit hyperactivity disorder (ADHD) symptoms, comorbid psychopathology, behaviour problems and gastrointestinal symptoms in children and adolescents with autism spectrum disorder

2021 ◽  
pp. 1-11
Author(s):  
Geraldine Leader ◽  
Roisín Moore ◽  
June L. Chen ◽  
Aoife Caher ◽  
Sophia Arndt ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Children And Adolescents ◽  
Short Form ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Behaviour Problems ◽  
Adhd Symptoms ◽  
Hyperactivity Disorder ◽  
Gi Symptoms ◽  
Comorbid Psychopathology

Abstract Objectives: The study aims to investigate attention deficit hyperactivity disorder (ADHD) symptoms, gastrointestinal (GI) symptoms, comorbid psychopathology and behaviour problems in children and adolescents with autism spectrum disorder (ASD). Methods: Parents of 147 children and adolescents with ASD aged 6–18 years completed the Conners 3 Parent-Short Form, Gastrointestinal Symptom Inventory, Behavior Problems Inventory-Short Form and Autism Spectrum Disorder-Comorbid for Children. Results: Fifty-six per cent of children and adolescents had a comorbid diagnosis of ADHD, yet over 70% presented with clinically significant ADHD symptoms. Forty per cent of participants received a diagnosis of ADHD before ASD and 25.6% received a diagnosis of ASD first. Relationships were found between ADHD symptoms and comorbid psychopathology, GI symptoms, and behaviour problems. Conclusions: The outcomes suggest that ADHD is being underestimated as a comorbid disorder of ASD. This may have implications on treatment and interventions for children and adolescents who have a diagnosis of both ASD and ADHD.

Spanish Validation of the Autism Quotient Short Form Questionnaire for Adults with Autism Spectrum Disorder

2019 ◽  
Vol 49 (11) ◽  
pp. 4375-4389
Author(s):  
Jorge Lugo-Marín ◽  
Emiliano Díez-Villoria ◽  
María Magán-Maganto ◽  
Lina Pérez-Méndez ◽  
Montserrat Alviani ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Short Form ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Adults With Autism ◽  
Autism Quotient ◽  
Spanish Validation

The Factor Structure of the Aggression Questionnaire With Violent Offenders

2017 ◽  
Vol 62 (7) ◽  
pp. 1888-1905 ◽  
Author(s):  
Cathrine Pettersen ◽  
Kevin L. Nunes ◽  
Franca Cortoni
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Short Form ◽  
Violent Offenders ◽  
Self Report ◽  
Violent Offender ◽  
Careful Examination ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Aggression Questionnaire

The Buss-Perry Aggression Questionnaire (AQ) is a self-report measure of aggressiveness commonly employed in nonforensic and forensic settings and is included in violent offender pre- and posttreatment assessment batteries. The aim of the current study was to assess the fit of the four-factor model of the AQ with violent offenders ( N = 271), a population for which the factor structure of the English version of the AQ has not previously been examined. Confirmatory factor analyses did not yield support for the four-factor model of the original 29-item AQ. Acceptable fit was obtained with the 12-item short form, but careful examination of the relationships between the latent factors revealed that the four subscales of the AQ may not represent distinct aspects of aggressiveness. Our findings call into question whether the AQ optimally measures trait aggressiveness among violent offenders.

scholarly journals Construction and psychometric evaluation of a short form of the Broad Autism Phenotype Questionnaire

Psihologija ◽  
2018 ◽  
Vol 51 (2) ◽  
pp. 243-258
Author(s):  
Irena Stojkovic ◽  
Bojan Ducic ◽  
Svetlana Kaljaca ◽  
Mirjana Djordjevic
Keyword(s):  
Personality Traits ◽  
Factor Structure ◽  
Social Relations ◽  
Discriminant Validity ◽  
Factor Model ◽  
Short Form ◽  
Autism Spectrum ◽  
Broad Autism Phenotype ◽  
Autism Spectrum Quotient ◽  
Autism Phenotype

Broad Autism Phenotype (BAP) represents a group of personality traits expressed in limitations in social relations and pragmatic speech dimension, and rigid behavior. The Broad Autism Phenotype Questionnaire (BAPQ) measures personality traits which are crucial in defining the BAP. In the present research, three studies were conducted with the general aim to create a short form of the BAPQ. Study 1 was carried out to determine the factor structure of the BAPQ in a sample of 501 students and to select items for the short form. Obtained components: Aloofness, Rigidity, and Pragmatics, corresponding to the structure of the instrument proposed by authors, accounted for 26.61% of variance. Study 2 was conducted to examine factor structure of the BAPQ short form (BAPQ-SF), in a sample of 298 students. This solution explained 45.76% of the total variance. The aim of Study 3 was to determine psychometric characteristics of the BAPQ-SF in a sample of students (N = 294). Three-factor model of the BAPQ-SF was confirmed. Correlations of the BAPQ-SF with the Autism-Spectrum Quotient (AQ) and the Delta 10 suggest convergent and discriminant validity of the BAPQ-SF.

scholarly journals Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months

2020 ◽  
Author(s):  
Fleming C. Peck ◽  
Laurel J. Gabard-Durnam ◽  
Carol L. Wilkinson ◽  
William Bosl ◽  
Helen Tager-Flusberg ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Language Learning ◽  
Predictive Accuracy ◽  
Pearson Correlation ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
Support Vector ◽  
Phoneme Discrimination ◽  
Co Morbidity

AbstractEarly identification of autism spectrum disorder (ASD) provides an opportunity for early intervention and improved outcomes. Use of electroencephalography (EEG) in infants has shown promise in predicting later ASD diagnoses and in identifying neural mechanisms underlying the disorder. Given the high co-morbidity with language impairment in ASD, we and others have speculated that infants who are later diagnosed with ASD have altered language learning, including phoneme discrimination. Phoneme learning occurs rapidly within the first postnatal year, so altered neural substrates either during or after the first year may serve as early, accurate indicators of later autism diagnosis. Using longitudinal EEG data collected during a passive phoneme task in infants with high familial risk for ASD, we compared predictive accuracy at 6-months (during phoneme learning) versus 12-months (after phoneme learning). Samples at both ages were matched in size and diagnoses (n=14 with later ASD; n= 40 without ASD). Using Pearson correlation feature selection and support vector machine with radial basis function classifier, 100% predictive diagnostic accuracy was observed at both ages. However, predictive features selected at the two ages differed and came from different scalp locations. We also report that performance across multiple machine learning algorithms was highly variable and declined when the 12-month sample size and behavioral heterogeneity was increased. These results demonstrate that speech processing EEG measures can facilitate earlier identification of ASD but emphasize the need for age-specific predictive models with large sample sizes in order to develop clinically relevant classification algorithms.

scholarly journals Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Fleming C. Peck ◽  
Laurel J. Gabard-Durnam ◽  
Carol L. Wilkinson ◽  
William Bosl ◽  
Helen Tager-Flusberg ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Feature Selection ◽  
Language Learning ◽  
Predictive Accuracy ◽  
Pearson Correlation ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Support Vector ◽  
Phoneme Discrimination ◽  
Co Morbidity

Abstract Background Early identification of autism spectrum disorder (ASD) provides an opportunity for early intervention and improved developmental outcomes. The use of electroencephalography (EEG) in infancy has shown promise in predicting later ASD diagnoses and in identifying neural mechanisms underlying the disorder. Given the high co-morbidity with language impairment, we and others have speculated that infants who are later diagnosed with ASD have altered language learning, including phoneme discrimination. Phoneme learning occurs rapidly in infancy, so altered neural substrates during the first year of life may serve as early, accurate indicators of later autism diagnosis. Methods Using EEG data collected at two different ages during a passive phoneme task in infants with high familial risk for ASD, we compared the predictive accuracy of a combination of feature selection and machine learning models at 6 months (during native phoneme learning) and 12 months (after native phoneme learning), and we identified a single model with strong predictive accuracy (100%) for both ages. Samples at both ages were matched in size and diagnoses (n = 14 with later ASD; n = 40 without ASD). Features included a combination of power and nonlinear measures across the 10‑20 montage electrodes and 6 frequency bands. Predictive features at each age were compared both by feature characteristics and EEG scalp location. Additional prediction analyses were performed on all EEGs collected at 12 months; this larger sample included 67 HR infants (27 HR-ASD, 40 HR-noASD). Results Using a combination of Pearson correlation feature selection and support vector machine classifier, 100% predictive diagnostic accuracy was observed at both 6 and 12 months. Predictive features differed between the models trained on 6- versus 12-month data. At 6 months, predictive features were biased to measures from central electrodes, power measures, and frequencies in the alpha range. At 12 months, predictive features were more distributed between power and nonlinear measures, and biased toward frequencies in the beta range. However, diagnosis prediction accuracy substantially decreased in the larger, more behaviorally heterogeneous 12-month sample. Conclusions These results demonstrate that speech processing EEG measures can facilitate earlier identification of ASD but emphasize the need for age-specific predictive models with large sample sizes to develop clinically relevant classification algorithms.

Exploratory factor analysis of the Adapted Skillstreaming Checklist for children with autism spectrum disorder

Autism ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 437-446
Author(s):  
Christopher Lopata ◽  
James P Donnelly ◽  
Marcus L Thomeer ◽  
Jonathan D Rodgers ◽  
Martin A Volker ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Factor Analysis ◽  
Intellectual Disability ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Behavioral Flexibility ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder

The Adapted Skillstreaming Checklist measures social/social-communication skills and behavioral flexibility/regulation of children with autism spectrum disorder without intellectual disability. Prior studies provided support for the reliability and criterion-related validity of the Adapted Skillstreaming Checklist total score for these children; however, no studies have examined the Adapted Skillstreaming Checklist factor structure. This exploratory factor analysis examined the factor structure and internal consistency of parent ratings on the Adapted Skillstreaming Checklist for a sample of 331 children, ages 6–12 years, with autism spectrum disorder without intellectual disability. Results yielded a correlated three-factor solution. The individual factors and total score demonstrated very good internal consistency reliability. Findings supported the presence and interpretability of three subscales, as well as derivation of a total composite reflecting overall prosocial and adaptive skills and behaviors. Implications for assessment and research are discussed.

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