The Autism Treatment Evaluation Checklist (ATEC) assesses changes in Autistic characteristics over time in children aged 2 years and older, as well as adults.
The Autism Treatment Evaluation Checklist (ATEC) is a 77-item caregiver-administered questionnaire designed to evaluate treatment-related changes in signs and symptoms of Autism over time in children aged 2 years and older, as well as adults (Rimland & Edelson, 1999). Developed to provide families and clinicians with an accessible method for tracking Autism symptom changes, the ATEC serves as a treatment monitoring tool rather than a diagnostic instrument, making it particularly valuable for measuring intervention effectiveness and progress over time.
The ATEC comprises four distinct subscales that capture key areas typically affected in Autistic individuals:
The subscales enable identification of specific domains that may be responding to treatment interventions.
The ATEC has demonstrated utility in monitoring treatment progress and intervention effectiveness (Jarusiewicz, 2002; Magiati et al., 2011), establishing baseline symptom profiles, tracking domain-specific changes over time, and facilitating data-driven discussions about treatment outcomes and future intervention planning.
The Autism Treatment Evaluation Checklist (ATEC) yields a total score (Range: 0-179) and four subscale scores, with higher scores indicating greater impairment and lower scores suggesting fewer Autism-related difficulties:

The primary purpose of the ATEC is to measure changes in signs and symptoms of Autism over time in response to therapeutic interventions. When administered more than once, graphs display changes in total and subscale scores over time, facilitating progress and outcome monitoring.


Percentile ranges based on normative data from the Autism Research Institute (Rimland & Edelson, 1999) are provided to contextualise an individual’s scores relative to Autistic people. Scores in the 90th-99th percentile range may indicate clinically elevated concerns, whilst scores closer to the 50th percentile represent responses typical of the normative sample, suggesting subclinical Autistic traits.
The Autism Treatment Evaluation Checklist (ATEC) demonstrates robust psychometric properties.
Data from the Autism Research Institute (Rimland & Edelson, 1999) based on 1,358 participants demonstrates strong internal consistency reliability for the total score and all subscales, with the following Cronbach’s alpha values: Total Score (.94), Speech/Language/Communication (.92), Sociability (.84), Sensory/Cognitive Awareness (.88), and Health/Physical/Behaviour (.82).
Although the ATEC was not designed to be used as a screening tool, it demonstrates significant correlations with established measures of Autism (Geier et al., 2013; Magiati et al., 2011), supporting its convergent validity. The ATEC also shows meaningful associations with physical symptoms of Autism (Adams et al., 2011) and Autism-related biomarkers (Kern et al., 2010).
The ATEC has demonstrated sensitivity to treatment-related changes over time (Jarusiewicz, 2002; Magiati et al., 2011), supporting its utility as a progress monitoring tool.
The ATEC is particularly valuable as a routine outcome monitoring tool that can be administered regularly throughout treatment, typically every 4-6 weeks. Unlike diagnostic measures that assess Autism at a single point in time, the ATEC is specifically designed to capture change, making it ideal for tracking whether interventions are having the desired effect. Clinicians can establish a baseline by administering the ATEC before treatment begins, then use regular re-administration to identify which specific domains are responding to intervention.
The four subscales allow clinicians to track differential treatment responses across domains. For instance, a child receiving speech therapy might show improvements in the Speech/Language/Communication subscale before changes appear in other areas. This granular tracking helps clinicians make data-driven decisions about whether to continue, modify, or change interventions. The percentile ranges generated for each subscale provide context for understanding where a child sits relative to Autistic children, helping set realistic treatment goals and communicate progress to caregivers and others. Since the ATEC takes less than 15 minutes to complete and can be completed by caregivers between sessions, it provides regular data collection without adding significant burden to clinical appointments.
Caregiver-completed measures like the ATEC capture behaviours and symptoms across multiple settings and times of day that clinicians cannot directly observe during appointments. Caregivers observe their children in at home, during meals, at bedtime, and in social situations, providing a more comprehensive picture of functioning than clinic-based assessments alone. This is particularly important in the assessment of Autism, where behaviours can vary significantly across contexts due to sensory differences, routine changes, and social demands.
The ATEC also empowers caregivers to become active participants in tracking their child’s progress, which can enhance treatment engagement and help them recognise incremental improvements that might otherwise go unnoticed. When caregivers regularly complete the ATEC, they develop a more objective framework for observing their child’s behaviours, moving beyond general impressions to specific, measurable observations. This structured observation can improve communication between families and clinicians, as caregivers can provide more precise information about what’s changing and what remains challenging. Additionally, caregiver-report measures are cost-effective and reduce the need for frequent formal assessments, making it feasible to monitor progress more regularly than would be possible with clinician-administered tools alone.
Tracking signs and symptoms of Autism over time provides families with a “growth chart” for understanding their child’s developmental trajectory, similar to how paediatricians track height and weight. This longitudinal perspective helps families understand that Autistic development often follows a different pattern than neurotypical development, with periods of rapid progress, plateaus, and sometimes temporary setbacks. Regular monitoring helps families recognise patterns — such as improvements during school terms versus holidays, or changes related to developmental transitions like puberty.
Documentation of symptom changes over time also serves practical purposes beyond clinical treatment. It provides objective evidence for educational planning meetings, helping families advocate for appropriate school supports or changes in educational placement. When applying for funding or services, longitudinal ATEC data can demonstrate ongoing needs or document improvements that might affect eligibility. Perhaps most importantly, having concrete data about progress can provide hope during difficult periods and validation during times of improvement, helping families maintain realistic expectations while celebrating genuine gains, however small they might be.
Research shows that ATEC scores typically decrease (improve) with age in Autistic children, but the rate and pattern of change varies considerably based on initial severity and individual factors. Unlike neurotypical development where skills generally progress linearly, Autistic development often shows an uneven profile with spurts of progress in some areas while others remain stable or develop more slowly.
Improvements in ATEC scores don’t always follow a smooth downward trajectory. Scores might temporarily increase during periods of stress, illness, or major transitions before resuming their improvement trend. Some domains might show rapid early improvement — particularly speech and communication in younger children receiving intensive intervention — while others, like sensory processing, might change more gradually over years. It’s also important to recognise that as children age, new challenges might emerge (such as social difficulties becoming more apparent in adolescence) even as other areas improve. This is why regular monitoring across all four ATEC domains provides a more complete picture than focusing on the total score alone.
Autistic children often experience sensory sensitivities, communication differences, and behavioural patterns that can make the assessment process challenging, even when using caregiver-report measures like the ATEC. Caregivers may find it difficult to answer certain questions if their child’s behaviour varies dramatically across environments due to sensory triggers, or if their child masks symptoms in some settings but not others. For instance, a child might appear to have good eye contact at home where they feel safe, but avoid it entirely in overwhelming environments, making it difficult for caregivers to select a single response that captures this variability.
Understanding these assessment challenges is crucial for both families and clinicians. Caregivers completing the ATEC should base their responses on their child’s typical or most common presentation rather than specific or exceptional moments. If behaviours are highly context-dependent, it can be helpful to make notes about these patterns to discuss with clinicians, as this variability itself provides important clinical information. Clinicians should be aware that apparent inconsistencies in caregiver responses might reflect the genuine complexity of the child’s presentation rather than unreliable reporting, and should explore these patterns as part of understanding the child’s unique profile of strengths and challenges.
Rimland, B. & Edelson, S. (1999). Autism Treatment Evaluation Checklist (ATEC). Autism Research Institute. https://autism.org/autism-treatment-evaluation-checklist/
Adams, J.B., Johansen, L.J., Powell, L.D., Quig, D., & Rubin, R.A. (2011). Gastrointestinal flora and gastrointestinal status in children with autism – comparisons to typical children and correlation with autism severity. BMC Gastroenterology, 22. https://doi.org/10.1186/1471-230X-11-22
Geier D. A., Kern J. K., Geier M. R. (2013). A Comparison of the Autism Treatment Evaluation Checklist (ATEC) and the Childhood Autism Rating Scale (CARS) for the Quantitative Evaluation of Autism. Journal of Mental Health Research in Intellectual Disabilities, 6(4), 255–267. https://doi.org/10.1080/19315864.2012.681340
Jarusiewicz, B. (2002). Efficacy of neurofeedback for children in the autistic spectrum: A pilot study. Journal of Neurotherapy, 6(4), 39–49. https://doi.org/10.1300/J184v06n04_05
Kern, J.K., Geier, D.A., Adams, J.B., & Geier, M.R. (2010). A biomarker of mercury body-burden correlated with diagnostic domain specific clinical symptoms of autism spectrum disorder. BioMetals, 23, 1043-1051. https://doi.org/10.1007/s10534-010-9349-6
Magiati I., Moss J., Yates R., Charman T., Howlin P. (2011). Is the Autism Treatment Evaluation Checklist a useful tool for monitoring progress in children with autism spectrum disorders?: Is the Autism Treatment Evaluation Checklist useful? Journal of Intellectual Disability Research, 55(3), 302–312. https://doi.org/10.1111/j.1365-2788.2010.01359.x