Incidence of cognitive processing dimension for the diagnostic reliability of level-1 autism spectrum disorder

Authors

DOI:

https://doi.org/10.31686/ijier.vol11.iss2.4085

Keywords:

Autism Spectrum Disorder, Interaction and Communication Social, Behavior, Encoding, Information Processing, Perceptive- Cognitive

Abstract

Diagnostic processes of Autism Spectrum Disorder (ASD) just based over the observation of target- behaviors, regarding to interaction and social communication (social) and restrictive behavior (behavior), seem be most effective for level 2-3 ASD specific diagnosis; however, level 1 ASD diagnosis may be many errors, since the scores sum are within limits corresponding the other specific personality or social communication disorders (American Psychiatric Association (APA), 2013). For this reason, it´s needs complement the analysis of variables that make up the perceptual- cognitive dimension of information processing to specify the diagnosis validity and avoid initial errors that can create important prejudices along educational processes. This study delimits the differential analysis of 3 dimensions on total of 38 participants with level 1 ASD. Indeed, results indicate that, although the constant of diagnostic predictive analysis found through the linear regression analysis shows significant data for diagnosis synthesis, it´s owing to critical influence of cognitive processing dimension: .00, while other 2 dimensions analyzed individually show non-significant influence, being critical significant level for social dimension: .12 and behavior dimension: .35. Therefore, it´s need design diagnostic scales that include the basic principles of perceptual-cognitive processing functioning to avoid errors in autism diagnosis.

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Author Biography

  • Manuel Ojea Rúa, University of Vigo

    Prof. Dr. Psycho- Pedagogy

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Published

2023-02-01

How to Cite

Rúa, M. O. (2023). Incidence of cognitive processing dimension for the diagnostic reliability of level-1 autism spectrum disorder. International Journal for Innovation Education and Research, 11(2), 75-85. https://doi.org/10.31686/ijier.vol11.iss2.4085
Received 2023-01-03
Accepted 2023-01-25
Published 2023-02-01