The underlying symptom structure of autism spectrum disorders: A factor analytic approach using the developmental, dimensional and diagnostic interview

Marche, Wouter De la; Noens, Ilse; Boets, Bart; Kuppens, Sofie; Steyaert, Jean

doi:10.1016/j.rasd.2014.11.002

Cited by 8 publications

(3 citation statements)

References 34 publications

(71 reference statements)

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“…Conversely, even without changing the content of the scales, analyzing the same data on a different level—that is, using items or subscales rather than the scales used in our study—may change the results (e.g. De la Marche et al 2015 ), so further analysis is needed to determine the best factor structure for the data on an item level. The current dataset lacks the power to perform the CFA with the larger number of variables this would involve.…”

Section: Discussionmentioning

confidence: 95%

“…The Dutch 3Di is a direct translation of the English version. Items were translated by a Flemish psychiatrist (Wouter de la Marche, see De la Marche et al 2015 ) and the first author of the present study, a Dutch psychologist, and cross-checked for appropriateness in both language areas as well as correctness of the translation, in regular consultation with the developers of the English 3Di and Dutch users. Items in the short version were independently back-translated and checked against the English 3Di-sv, after which adaptations were made where necessary.…”

Section: Methodsmentioning

confidence: 99%

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Utility of the 3Di Short Version for the Diagnostic Assessment of Autism Spectrum Disorder and Compatibility with DSM-5

Slappendel

Mandy

Ende

et al. 2016

J Autism Dev Disord

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The Developmental Diagnostic Dimensional Interview-short version (3Di-sv) provides a brief standardized parental interview for diagnosing autism spectrum disorder (ASD). This study explored its validity, and compatibility with DSM-5 ASD. 3Di-sv classifications showed good sensitivity but low specificity when compared to ADOS-2-confirmed clinical diagnosis. Confirmatory factor analyses found a better fit against a DSM-5 model than a DSM-IV-TR model of ASD. Exploration of the content validity of the 3Di-sv for the DSM-5 revealed some construct underrepresentation, therefore we obtained data from a panel of 3Di-trained clinicians from ASD-specialized centers to recommend items to fill these gaps. Taken together, the 3Di-sv provides a solid basis to create a similar instrument suitable for DSM-5. Concrete recommendations are provided to improve DSM-5 compatibility.Electronic supplementary materialThe online version of this article (doi:10.1007/s10803-016-2713-9) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Utility of the 3Di Short Version for the Diagnostic Assessment of Autism Spectrum Disorder and Compatibility with DSM-5

Slappendel

Mandy

Ende

et al. 2016

J Autism Dev Disord

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“…Two factors were associated with repetitive behavior (persistence in monotony and ritualism) [22]. Another five-factor structure of ASD obtained from the survey data of 275 participants with ASD aged 3 to 23 years (the Developmental, Dimensional and Diagnostic Interview) consisted of limited and repetitive behavior and interests, shaking hands and nodding (motor stereotypes), as well as three factors that represented a lack of social interaction and communication [23]. In another study, based on the analysis of data obtained using the ASD-DC questionnaire (the Autism Spectrum Disorders-Diagnostic for Children) on a sample of 149 2-16-year-old children, a fourfactor structure was obtained consisting of social relations, nonverbal communication/socialization, verbal communication, and limited interests/persistence in sameness [16].…”

Section: Previous Research Of the Factor Structure Of Autismmentioning

confidence: 99%

Factor Structure of ASD Symptoms in Russian 3-4-Year-Olds

Nasledov,

Miroshnikov,

Tkacheva

et al. 2023

OBM Neurobiol

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The study aims to reveal autism vectors that are inherent in 3-4-year-olds with ASD. Three hundred eighty-three children with ASD took part in the research. An online questionnaire developed earlier by our research group was used. In the first stage, with the repeated use of exploratory factor analysis, the task of identifying the simplest factor structure was solved. As a result, a 7-factor system was obtained, including from 9 to 14 items in each factor (78 items in total): 1) "Persistence on sameness" (Sam); 2) "Emotional dysregulation" (Em); 3) "Alienation" (Al); 4) "Speech understanding" (SU); 5) "Disinhibition/Hyperactivity" (Hyp); 6) "Echolalia" (Ech); 7) "Sensory disintegration" (Sen). Next, a "parcel approach" was applied: binary items included in each factor were randomly distributed into 3 packages, from 3 to 5 items in each box. Thus, instead of 78 binary things, 21 quantitative variables were analyzed. At the second stage, a multi-group confirmatory factor analysis was applied to verify the factor validity and structural and measurement equivalence of the obtained 7-factor model to the parts of the sample that differ by gender (m, f) and age (3 and 4 years). The factor validity of the 7-factor model was confirmed: the factors Em, Al, Su, and Ech correlated with each other (correlations from 0.33 to 0.65), forming a group of communication disorders, the second group consisted of factors Sam and Sen (r = 0.66), the factor Hyp did not correlate with other elements. The equivalence of this 7-factor model was confirmed with respect to samples differing in gender (m, f) and age (3 and 4 years). According to all 7 calculated factors-scales, the example of children with ASD statistically significantly differed from other children with the magnitude of the Coen's d effect from 0.688 to 2.088. However, it can be supposed that the factor dimension of autism symptoms can be even more significant, because the revealed structure is based on 436 initial hypothetical symptoms of autism.

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