A self-talk package was used to improve performance of compulsory figures by prenovice- and novice-level figure skaters. The study included ongoing objective behavioral assessment across practices of the figure skating performance as well as the extent to which the skaters actually utilized the self-talk. A multi-element design with multiple baseline replications across 4 participants demonstrated that improvements were due to the treatment. Self-report follow-up at 1 year indicated that the participants continued to utilize the selftalk during practices and that they believed that it enhanced their test and/or competitive performance. The results support the view that planned self-talk can aid skill acquisition. Results are conceptualized in terms of rule-governed control over behavior, which may provide a useful framework for enabling sport psychologists to increase the efficacy of self-talk interventions.

Language generativity can be described as the ability to produce sentences never before said, and to understand sentences never before heard. One process often cited as underlying language generativity is response generalization. However, though the latter seems to promise a technical understanding of the former at a process level, an investigation of definitions and approaches to the term "response generalization" that appear in the literature suggests that it does not do so. We argue that a more promising candidate for the role of key process underlying language generativity is derived relational responding. We introduce the latter concept and describe empirical research showing its connection with language. We subsequently present a relational frame theory (RFT) conceptualization of derived relations as contextually controlled generalized relational responding. We then review a series of recent studies on derived manding in developmentally delayed children and adults that arguably demonstrate the applied utility of a derived relations-based approach with respect to the phenomenon of generative language.

The TARPA (Training & Assessment of Relational Precursors & Abilities) is a recently developed computer-based protocol for the assessment of a progression of key domains of responding critical to the development of generative language. In the current pilot study, five children with autism were assessed using the TARPA and their score on this protocol was correlated with ratings on the Vineland Adaptive Behavior Scales. Findings showed a statistically significant correlation. This and other features of TARPA performance and their implications for future testing and development of this protocol are discussed.

In a class inclusion task, a child must respond to stimuli as being involved in two different though hierarchically related categories. This study used a Relational Frame Theory (RFT) paradigm to assess and train this ability in three typically developing preschoolers and three individuals with autism spectrum disorder, all of whom had failed class inclusion tests. For all subjects, relational training successfully established the target repertoire and subsequent testing demonstrated both maintenance and generalization. Limitations and future research directions are discussed.

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