Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Autism Spectrum Disorders | 3 |
| Evaluation Methods | 3 |
| Anxiety | 1 |
| Augmentative and Alternative… | 1 |
| Barriers | 1 |
| Best Practices | 1 |
| Children | 1 |
| Clinical Diagnosis | 1 |
| Comorbidity | 1 |
| Data Collection | 1 |
| Educational Environment | 1 |
| More ▼ | |
Author
| Braconnier, Megan | 1 |
| Chenausky, Karen V. | 1 |
| Green, Jordan R. | 1 |
| Loflin, Lindsey J. | 1 |
| Maffei, Marc | 1 |
| Moskowitz, Lauren J. | 1 |
| Tager-Flusberg, Helen | 1 |
| Vargo, Kristina K. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMoskowitz, Lauren J.; Braconnier, Megan – Psychology in the Schools, 2023
Anxiety is now recognized as one of the most common co-occurring conditions in youth diagnosed with autism spectrum disorder (ASD). Despite the prevalence of this comorbid condition, accurate assessment and diagnosis of anxiety in ASD has proven difficult. This paper will address the considerable research literature on assessing anxiety in youth…
Descriptors: Anxiety, Autism Spectrum Disorders, Symptoms (Individual Disorders), Comorbidity
Vargo, Kristina K.; Loflin, Lindsey J. – Intervention in School and Clinic, 2022
Many teachers of students with autism spectrum disorder (ASD) are familiar with traditional preference assessment methodologies to identify high-preferred items. Traditional preference assessments are valuable; however, they may not be appropriate when identifying preferences for some educational activities and instructional contexts. The…
Descriptors: Autism Spectrum Disorders, Evaluation Methods, Preferences, Learning Activities
Chenausky, Karen V.; Maffei, Marc; Tager-Flusberg, Helen; Green, Jordan R. – Augmentative and Alternative Communication, 2023
The purpose of this paper was to review best-practice methods of collecting and analyzing speech production data from minimally verbal autistic speakers. Data on speech production data in minimally verbal individuals are valuable for a variety of purposes, including phenotyping, clinical assessment, and treatment monitoring. Both perceptual…
Descriptors: Best Practices, Data Collection, Speech Communication, Augmentative and Alternative Communication
