Since Autism Spectrum Disorder (ASD) is a diagnosis that encompasses a wide range of ability levels, researchers tend to focus their efforts on a subset of this population. In my case, this is Level 1 ASD and:
-Social cognition: "the acquisition and processing of social knowledge, as well as how understanding how social forces contour social knowledge" (Crooke, Hendrix, & Rachman, 2007).
-Transition: "the change in status from behaving primarily as a student to assuming emergent adult roles in the community (i.e. employment, post-secondary education, maintaining a home, becoming involved in the community, and experiencing satisfactory personal and social relationships)" (Division on Career Development and Transition of the Council for Exceptional Children).
-Employment: strategies and supports to promote successful, meaningful, and gainful work experiences.
-Vocational development: encompasses career exploration, career awareness, vocational expectations and aspirations, vocational interests, career maturity/adaptability
-Measurement and assessment: "The central purpose of measurement is to provide a reasonable and consistent way to summarize the responses that people make to express their achievements, attitudes, or personal points of view through instruments such as attitude scales, achievement tests, questionnaires, surveys and psychological surveys" (Wilson, 2005). The administration of an assessment is just one step in the measurement process. There are steps that precede the administration of an assessment that prepare the ground for measurement, and there are also steps after the administration of an assessment that check that this process was successful and make use of the measurements (Wilson, 2005).
-Philosophy of measurement: "The philosophy of measurement studies the conceptual, ontological, epistemic and technological conditions that make measurement possible and reliable" (Tal, 2013).
-Latent variable modeling: "In latent variable modeling, one sets up a formal structure that relates test scores to the hypothesized attribute, deduces empirical implications of the model, and evaluates the adequacy of the model by examining the goodness of fit with respect to empirical data...it attempts to construct a hypothesis about the data-generating mechanism in which the attribute is explicitly represented as a latent variable" (Borsboom, 2005)