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Development and adaptation of a strength-based job interview training tool for transition age youth on the autism spectrum using community engaged methods

Datos Bibliográficos

ID15520342
AutoresHelen M Genova (0000-0002-5897-0304, Rutgers, the State University of New Jersey, autor de correspondencia), Mikayla Haas (Kessler Foundation), Yu‐Lun Chen (0000-0002-0740-1347, Rutgers, the State University of New Jersey), Yu-Lun Chen, Heba Elsayed (0000-0001-7788-9301, Rutgers, the State University of New Jersey), Heba E Elsayed (0000-0001-5395-3081), Robert E Mcgrath (0000-0002-2589-5088, Fairleigh Dickinson University), Matthew J Smith (0000-0002-2554-6099, University of Michigan)
Año2023
Volumen14
Páginas1098334-1098334
Fecha de publicación2023-09-14
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2023.1098334
PMID37779620
OpenAlexW4386742717
IdiomaEN
Referencias citadas41

KF-STRIDE was modified to increase access by incorporating feedback from the autism community. Future directions include assessing the efficacy of KF-STRIDE in young adults on the spectrum to identify whether employment outcomes are improved after using the tool

Adaptation (eye · Autism · Autism spectrum disorder · Developmental psychology · Job interview · Medical education · Transition (genetics · Applied Psychology · Autism Spectrum Disorder Research · Behavioral and Psychological Studies · Clinical Psychology · Family and Disability Support Research · Medicine · Psychology · Social Psychology

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  • Designing and Conducting Mixed Methods Research

    John W Creswell, Vicki L Plano Clark•Designing and Conducting Mixed…•2017

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae