The Latent Structure of Autistic Traits:A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient

Autistic traits are widely thought to operate along a continuum. A taxometric analysis of Adult Autism Spectrum Quotient data was conducted to test this assumption, finding little support but identifying a high severity taxon. To understand this further, latent class and latent profile models were estimated that indicated the presence of six distinct subtypes: one with little probability of endorsing any autistic traits, one engaging in ‘systemising’ behaviours, three groups endorsing multiple components of Wing and Gould’s autistic triad, and a group similar in size and profile to the taxon previously identified. These analyses suggest the AQ (and potentially by extension autistic traits) have a categorical structure. These findings have important implications for the analysis and interpretation of AQ data

Mapping the integrative field: taking stock of socio-technical collaborations

Responsible innovation requires that scientific and other expert practices be responsive to society. We take stock of a variety of collaborative approaches to socio-technical integration that seek to broaden the societal contexts technical experts take into account during their routine activities. Part of a larger family of engaged scholarship that includes inter- and trans-disciplinarity as well as stakeholder and public engagement, we distinguish collaborative socio-technical integration in terms of its proximity to and transformation of expert practices. We survey a variety of approaches that differ widely in terms of their integrative methods, conceptions of societal context, roles, and aspirations for intervention. Taking a handful of “communities of integration” as exemplars, we then provide a framework for comparing the forms, means, and ends of collaborative integration. We conclude by reflecting on some of the main features of, and tensions within, this developing arena of practical inquiry and engagement and what this suggests for integrative efforts aimed at responsible innovation