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Gilliam Autism Rating Scale Psychometric Characteristics Investigation for Diagnosing People as Having Autism in the Iranian Community
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Reza Gorji    , Saeid HassanZadeh , Sogand GhasemZadeh , Masoud GholamAli Lavasani |
| Associate Prof, Department of Psychology, Faculty of Psychology and Education, University of Tehran, Tehran, Iran , hasanz@ut.ac.ir |
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Abstract: (1280 Views) |
Abstract
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Background: It is important to make a well-timed diagnosis of autism, using valuable tools is one of the diagnosis ways. This study aims at investigating GARS-3 psychometric characteristics for the Iranian Community.
Methods: In terms of practical purpose and research proposal, the study is descriptive and of authentication type. The statistical population includes all 3 to 22 year-old people suffering from autism disorder among which 113 individuals were chosen as sample group, using systematic sampling. The data collected were analyzed by questionnaires of GARS-3 and 2, and also by using spss 23 software and statistical tests like internal correlation coefficient and Cronbach's alpha.
Results: Results indicated that based on kappa coefficient GARS-3 has got needed translation accuracy. The scale time validity of more than 0/86 coefficient was significantly confirmed 0.01. The validity among correctors that was gained with internal reliability of more than 0/82 was significant in all subscales than those of social relation (p<0/01). It should also be noted that simultaneous validity of this scale with that of GARS-2 indicated the existence of this validity with regard to significant correlation coefficients (p<0/01).
Conclusion: With regard to achieved results, it can be said that GARS-3 enjoys desirable psychometric characteristics to be used in Iranian community, therefore, it is recommended to scientific centers of research as a reliable and valuable tool. |
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| Keywords: Autism spectrum disorder, Gilliam Autism Rating Scale, Psychometric Characteristics |
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Full-Text [PDF 1352 kb]
(532 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2021/10/16 | Accepted: 2021/10/02 | Published: 2021/10/02
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