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Evidence-Based Practices for Children, Youth, and Young Adults with Autism: Third Generation Review
This article is a systematic review describing a set of practices that have evidence of positive effects with autistic children and youth. It is the third iteration of a review of the intervention literature (Odom et al. in J Autism Dev Disorders 40(4):425–436, 2010a; Prevent School Fail 54(4):275–282, 2010b; Wong et al. in https://autismpdc.fpg.unc.edu/sites/autismpdc.fpg.unc.edu/files/imce/documents/2014-EBP-Report.pdf; J Autism Dev Disorders 45(7):1951–1966, 2015), extending coverage to articles published between 1990 and 2017.
Date:
January 15, 2021
Creator:
Hume, Kara; Steinbrenner, Jessica R.; Odom, Samuel L.; Morin, Kristi L.; Nowell, Sallie W.; Tomaszewski, Brianne et al.
System:
The UNT Digital Library
Correction to: Evidence-Based Practices for Children, Youth, and Young Adults with Autism: Third Generation
Correction to the article "Evidence-Based Practices for Children, Youth, and Young Adults with Autism: Third Generation Review." The original article can be found online at https://doi.org/10.1007/ s10803-020-04844-2.Autism Spectrum Disorder
Date:
January 20, 2022
Creator:
Hume, Kara; Steinbrenner, Jessica R.; Odom, Samuel L.; Morin, Kristi L.; Nowell, Sallie W.; Tomaszewski, Brianne et al.
System:
The UNT Digital Library
Measuring flexibility: A text-mining approach
Article describes how, in creativity research, ideational flexibility, the ability to generate ideas by shifting between concepts, has long been the focus of investigation. Here, the authors build from extant research to theoretically posit, and then empirically validate, a text-mining based method for measuring flexibility in verbal divergent thinking (DT) responses.
Date:
January 18, 2023
Creator:
Grajzel, Katalin; Acar, Selcuk; Dumas, Denis; Organisciak, Peter & Berthiaume, Kelly
System:
The UNT Digital Library
Comparing the Bayesian Unknown Change-Point Model and Simulation Modeling Analysis to Analyze Single Case Experimental Designs
This article compares two simulation-driven approaches: Bayesian unknown change-point model (BUCP) and simulation modeling analysis (SMA) for three real datasets that exhibit “clear” immediacy, “unclear” immediacy, and delayed effects. In the final analysis, it is recommended that both visual and statistical analyses be conducted for a thorough analysis of SCEDs.
Date:
January 15, 2021
Creator:
Batley, Pathiba Natesan; Nandakumar, Ratna; Palka, Jayme M. & Shrestha, Pragya
System:
The UNT Digital Library
Technology Makes the Heart Grow Fonder? A Test of Media Multiplexity Theory for Family Closeness
This article examines the impact of online and offline interactions for the quality of family relationships.
Date:
January 15, 2021
Creator:
Balayar, Bhoj & Langlais, Michael
System:
The UNT Digital Library
Applying Rasch Methodology to Examine and Enhance Precision of the Baby Care Questionnaire
Article describes how the Baby Care Questionnaire (BCQ) is an established ordinal measure of parenting beliefs about infant care, which includes structure and attunement scales. This study aimed to evaluate the psychometric properties and improve precision of the structure and attunement scales of the BCQ using Rasch methodology.
Date:
January 12, 2024
Creator:
Truong, Quoc Cuong; Gattis, Merideth; Barber, Carol Cornsweet; Middlemess, Wendy; Au, Terry & Medvedev, Oleg N.
System:
The UNT Digital Library
Emergency and Disaster Preparedness for Individuals Who Use Augmentative and Alternative Communication: A Pilot Study on Supported Planning Using a Toolkit
Article describes how when emergencies or disasters arise, individuals who use augmentative and alternative communication are particularly vulnerable. This study highlights the need for preparedness activities that are person-centered and account for the communication support needs of individuals who use AAC if faced with an emergency/disaster.
Date:
January 3, 2024
Creator:
Barton-Hulsey, Andrea; Boesch, Miriam C.; Chung, Yoosun; Caswell, Tina; Sonntag, Amy M. & Quach, Wendy
System:
The UNT Digital Library