Individuals with autism spectrum disorder (ASD) are at an increased risk to be victims of bullying due to the core characteristics of the disorder. Prior research has focused on understanding bullying from the perspectives of individuals with ASD, parents, and practitioners through interviews and questionnaires. However, limited evidence exists using interventions to teach individuals with ASD about how to identify and respond to bullying. This study employed Kidpower® bullying narratives to teach individuals with ASD how to identify and respond to various bullying scenarios. Kidpower was selected to provide practitioners with a pre-established curriculum to utilize, rather than creating materials for each student. A multiple probe design across three participants was utilized to (a) teach individuals with ASD how to identify and respond to bullying drawings on Kidpower narratives, and (b) add an experimental study to the limited literature base pertaining to strategies for teaching about bullying to individuals with ASD. A fourth participant was also included as a case study. Progress for all participants was measured using the percentage of correct responses to 10 questions. Three out of four participants reached the mastery criterion of 90% over two consecutive sessions. Sessions for the fourth participant concluded after seven intervention …

Students' self-determination (SD) can positively influence their ability to make choices in planning for their future. The current study is a preliminary validity study on the most recent 21-item version of Shogren and Wehmeyer's Self-Determination Inventory: Student Report (SDI-SR). The SDI-SR was administered to 316 students (ages 13-22) and results were examined with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results of the EFA on a 7-factor solution (TLI = 0.97; RMSEA = 0.04; SRMR = 0.02) aligned with the theoretical basis for the SDI:SR as well as results for the 7-factor CFA using simulated data (TLI = 0.913; RMSEA = 0.047; SRMR = 0.072 and CFI = 0.931); however, the CFA 7-factor solution results on the present study data were slightly lower than what is considered acceptable model fit (TLI = 0.883; RMSEA = 0.04; RMSR = 0.047). These results combined suggest that theory-based 7-factor solution does capture seven latent constructs in this data. A CFA was also conducted with a 5-factor structure based on factor loading from an EFA using the present research data resulting in a better model fit (TLI = 0.912; RMSEA = .075; SRMR = 0.046; and CFI = 0.940) as well as …