Matthew J Smith, Mark Van Ryzin, Neil Jordan, Marc Atkins, Lindsay A Bornheimer, Kari Sherwood, Justin D Smith
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Virtual Job Interview Training: A Dose Response to Improve Employment for Transition-Age Youth With Disabilities.
Virtual Interview Training for Transition Age Youth and Virtual Reality Job Interview Training are job interview simulators with demonstrated effectiveness in randomized controlled trials. We evaluated their dose responses via secondary data analysis of 558 transition-age youth with disabilities in 47 schools where the simulators were implemented in quasi-experimental studies. Cut-point analyses determined dosing efficiency and efficacy to optimize competitive employment. The most efficient dose when accounting for the balance between dose and employment was completing nine virtual interviews. The most efficacious dose to maximize the likelihood of successful employment was 38, but varied across race, IQ, IDEA categories and employment history. This study provides a novel approach to inform implementation guidelines for virtual interview training in pre-employment transition services. Limitations and implications for research and practice are discussed.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.