Examining the Latent Structure and Correlates of Sensory Reactivity in Autism: A Multi-site Integrative Data Analysis by the Autism Sensory Research Consortium
Authors: Williams Zachary J. , Schaaf Roseann , Ausderau Karla K. , Baranek Grace T. , Barrett D. Jonah , Cascio Carissa J. , Dumont Rachel L. , Eyoh Ekomobong E. , Failla Michelle D. , Feldman Jacob I. , Foss-Feig Jennifer H. , Green Heather L. , Green Shulamite A. , He Jason L. , Kaplan-Kahn Elizabeth A. , Keçeli-Kaysılı Bahar , MacLennan Keren , Mailloux Zoe , Marco Elysa J. , Mash Lisa E. , McKernan Elizabeth P. , Molholm Sophie , Mostofsky Stewart H. , Puts Nicolaas A. J. , Robertson Caroline E. , Russo Natalie , Shea Nicole , Sideris John , Sutcliffe James S. , Tavassoli Teresa , Wallace Mark T. , Wodka Ericka L. , Woynaroski Tiffany G. 
Published: January 2023

Abstract
Background
Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these “supra-modal” traits in the autistic population.
Methods
Leveraging a combined sample of 3,868 autistic youth drawn from 12 distinct data sources (ages 3–18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a “general response pattern” factor for each supra-modal construct and determine the added value of “modality-specific response pattern” scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO and SEEK (sub)constructs.
Results
All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses unambiguously supported the validity of a supra-modal HYPER construct (ωH = .800), whereas a coherent supra-modal HYPO construct was not supported (ωH = .611), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ωH = .799; 4/7 modalities). Within each sensory construct, modality-specific subscales demonstrated substantial added value beyond the supra-modal score. Meta-analytic correlations varied by construct, although sensory features tended to correlate most strongly with other domains of core autism features and co-occurring psychiatric symptoms. Certain subconstructs within the HYPO and SEEK domains were also associated with lower adaptive behavior scores.
Limitations:
Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to parent-report of observable behaviors and excluded multisensory items that reflect many “real-world” sensory experiences.
Conclusion
Psychometric issues may limit the degree to which some measures of supra-modal HYPO/SEEK can be interpreted. Depending on the research question at hand, modality-specific response pattern scores may represent a valid alternative method of characterizing sensory reactivity in autism.