{"title":"感知认知因素与行为变量之间的相互关系对自闭症谱系障碍患者的诊断水平的影响","authors":"M. Rúa","doi":"10.47191/rajar/v9i11.02","DOIUrl":null,"url":null,"abstract":"Relationships analysis between perceptual-cognitive factors and behavioural variables it makes up autism spectrum disorder (ASD) differential specific diagnosis, constitute a fundamental recurrent of currently research, then found data allow the construction of integrated evaluation scales to validate more complete and reliable diagnosis of people with ASD. The interdimensional diagnostic Scale has been applied and coded for 10 dimensions: 1) conceptual units, 2) signifiers, 3) hierarchy, 4) nodal relationships, 5) categorical relationships, 6) Recovery, 7) social interaction, 8) social communication, 9) stereotypical behaviours, and 10) restrictive behaviours. A total of 75 participants with ASD have participated in this study of three ASD´ intensity levels and different age intervals, from 3 years old. Data analyses focused along study the factorial analysis determinant (KMO and Bartlett's test) statistic, as well as, bivariate correlations analysis for three dimensions calculated statistically: \"processing\", \"social\" and \"behaviours\", show significant critical inter-relational levels (sig: .00), which allows conclude to existence of highly relationships between both variables group and their practical applications for consequent, reliable and valid diagnosis process. Finally, the statistical data of your application to perform the level diagnostic analysis is completed, through corresponding statistical percentage, means and standard deviations, to facilitate the ASD level 1-2-3 diagnostic way.","PeriodicalId":20848,"journal":{"name":"RA JOURNAL OF APPLIED RESEARCH","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interrelations between Perceptive-Cognitive Factors and Behavioural Variables to Level Diagnosis of People with Autism Spectrum Disorder\",\"authors\":\"M. Rúa\",\"doi\":\"10.47191/rajar/v9i11.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Relationships analysis between perceptual-cognitive factors and behavioural variables it makes up autism spectrum disorder (ASD) differential specific diagnosis, constitute a fundamental recurrent of currently research, then found data allow the construction of integrated evaluation scales to validate more complete and reliable diagnosis of people with ASD. The interdimensional diagnostic Scale has been applied and coded for 10 dimensions: 1) conceptual units, 2) signifiers, 3) hierarchy, 4) nodal relationships, 5) categorical relationships, 6) Recovery, 7) social interaction, 8) social communication, 9) stereotypical behaviours, and 10) restrictive behaviours. A total of 75 participants with ASD have participated in this study of three ASD´ intensity levels and different age intervals, from 3 years old. Data analyses focused along study the factorial analysis determinant (KMO and Bartlett's test) statistic, as well as, bivariate correlations analysis for three dimensions calculated statistically: \\\"processing\\\", \\\"social\\\" and \\\"behaviours\\\", show significant critical inter-relational levels (sig: .00), which allows conclude to existence of highly relationships between both variables group and their practical applications for consequent, reliable and valid diagnosis process. Finally, the statistical data of your application to perform the level diagnostic analysis is completed, through corresponding statistical percentage, means and standard deviations, to facilitate the ASD level 1-2-3 diagnostic way.\",\"PeriodicalId\":20848,\"journal\":{\"name\":\"RA JOURNAL OF APPLIED RESEARCH\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RA JOURNAL OF APPLIED RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47191/rajar/v9i11.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RA JOURNAL OF APPLIED RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47191/rajar/v9i11.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interrelations between Perceptive-Cognitive Factors and Behavioural Variables to Level Diagnosis of People with Autism Spectrum Disorder
Relationships analysis between perceptual-cognitive factors and behavioural variables it makes up autism spectrum disorder (ASD) differential specific diagnosis, constitute a fundamental recurrent of currently research, then found data allow the construction of integrated evaluation scales to validate more complete and reliable diagnosis of people with ASD. The interdimensional diagnostic Scale has been applied and coded for 10 dimensions: 1) conceptual units, 2) signifiers, 3) hierarchy, 4) nodal relationships, 5) categorical relationships, 6) Recovery, 7) social interaction, 8) social communication, 9) stereotypical behaviours, and 10) restrictive behaviours. A total of 75 participants with ASD have participated in this study of three ASD´ intensity levels and different age intervals, from 3 years old. Data analyses focused along study the factorial analysis determinant (KMO and Bartlett's test) statistic, as well as, bivariate correlations analysis for three dimensions calculated statistically: "processing", "social" and "behaviours", show significant critical inter-relational levels (sig: .00), which allows conclude to existence of highly relationships between both variables group and their practical applications for consequent, reliable and valid diagnosis process. Finally, the statistical data of your application to perform the level diagnostic analysis is completed, through corresponding statistical percentage, means and standard deviations, to facilitate the ASD level 1-2-3 diagnostic way.