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1.
Front Psychiatry ; 15: 1447080, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39351330

RESUMEN

Aim: Our study utilized the Rasch analysis to examine the psychometric properties of the Autism Behavior Checklist (ABC) in children with autism spectrum disorder (ASD). Methods: A total of 3,319 children (44.77 ± 23.52 months) were included. The Rasch model (RM) was utilized to test the reliability and validity of the ABC. The GPCMlasso model was used to test the differential item functioning (DIF). Result: The response pattern of this sample showed acceptable fitness to the RM. The analysis supported the unidimensionality assumption of the ABC. Disordered category functions and DIF were found in all items in the ABC. The participants responded to the ABC items differently depending not only on autistic traits but also on age groups, gender, and symptom classifications. Conclusion: The Rasch analysis produces reliable evidence to support that the ABC can precisely depict clinical ASD symptoms. Differences in population characteristics may cause unnecessary assessment bias and lead to overestimated or underestimated symptom severity. Hence, special consideration for population characteristics is needed in making an ASD diagnosis.

2.
Clin Pediatr (Phila) ; : 99228241274295, 2024 Aug 25.
Artículo en Inglés | MEDLINE | ID: mdl-39183559

RESUMEN

Our study utilized Rasch Analysis to examine the psychometric properties of 61-items fine motor function measure (FMFM) in children with cerebral palsy (CP). Partial credit model (PCM) was utilized to test the reliability and validity of FMFM. The response pattern of this samples displayed acceptable fitness to PCM. The analysis results supported the assumption of 1-dimensionality of FMFM. Disordered category thresholds were found in 30 items. Differential item functioning (DIF) was detected in 23 items. Participants with different CP subtypes in different age groups may perform in differently responses patterns. The Rasch analysis produces reliable evidence to support the clinical application of FMFM. Some items may produce inaccurate measurements originated from category structures. Difference in age groups and symptom topography may be associated with variation in fine motor ability among children with CP and leading to unnecessary assessment bias. Hence, FMFM items need modifications to calibrate the former item formulation.

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