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Dataset: Young Children with Physical Disabilities, 2007 to 2012 [Seattle, Washington] ()

Basic Information
Dataset Full Name Young Children with Physical Disabilities, 2007 to 2012 [Seattle, Washington]
Dataset Acronym
Summary

The Young Children with Physical Disabilities (Seattle, Washington) study is one of three projects in the Communication of People with MR 2006 to 2012 Series, which focuses on identifying participant variables that predict success in increasing communication skills of individual with intellectual disabilities. The data for this study were collected to show that triadic eye gaze for joint attention can be established in very young children with moderate or severe motor impairments. Participants were infants 10-36 months of age with moderate-to-severe motor impairments who are nonverbal and not yet producing intentional communication signals. Participants were convenience sampled from birth-to-three centers in Seattle, Washington

It contains two datasets:

Dataset 1: Functional and Communication Assessments of Individuals with MR (n=48). Includes data on the results of the initial screening for inclusion. Data includes: Complexity of Communication Scale, a Functional Assessment, the Bayley Scales of Infant and Toddler Development, the Mullen Scales of Early Learning and the Communication and Symbolic Behavior Scales. 

Dataset 2 : Triadic Eye Gaze Intervention for Young Children with Physical Disabilities (n=18) participant selection for experimental intervention and control phase was based on criteria collected in Dataset 1 and contains data on Triadic Eye Gaze and Coordinated Joint Attention. The 18 participants, were randomly assigned to one of two groups: The experimental treatment group (n=9) received direct treatment for Triadic Gaze delivered by a research Speech-Language Pathologist in addition to standard practice. The control group (n=9) received standard practice. Children in both groups were observed in a play activity with an examiner approximately every 3 weeks to monitor Triadic Gaze learning. 
Key Terms

Triadic Gaze, Children, Infants, Toddlers, Experimental, Physical disabilities, Motor impairments, Non-verbal, Speech impairment
Study Design Longitudinal
Data Type(s) Clinical
Sponsoring Agency/Entity

Department of Health and Human Services (HHS),

National Institutes of Health

Eunice Kennedy Shriver National Institute of Child Health and Human Development
Health Conditions/Disability Measures
Health Condition(s)

NA
Disability Measures

Developmental disabilities, Intellectual disability


Specific measures included:

  • Complexity of Communication Scale (measure developed by the Communication of People with MR project)
  • Functional Assessment - the Bayley Scales of Infant and Toddler Development
  • Mullen Scales of Early Learning and the Communication and Symbolic Behavior Scales. 
Measures/Outcomes of Interest
Topics

Communication, Functional assessment, Symbolic Behavior 
Sample
Sample Population

Children with moderate or severe motor impairments between 10 and 24 months of age 
Sample Size/Notes
  • Dataset 1: n=48 children recruited and screened for eligibility -  Functional and Communication Assessments of Individuals with MR
  • Dataset 2: n=18 children who met screening criteria participated in experimental control/treatment conditions
Unit of Observation

Individual
Continent(s)

North America
Countries

United States
Geographic Coverage

Seattle, Washington state
Geographic Specificity

NA
Special Population(s)

Children/Youth
Data Collection
Data Collection Mode
  • Event/transaction data
  • Experimental data
  • Observational data 
Years Collected

2007 - 2012
Data Collection Frequency

Children in both groups were observed in a play activity with an examiner approximately every 3 weeks to monitor Triadic Gaze learning.
Strengths and Limitations
Strengths

Includes the following common scales:

  • Communication Complexity Scale
  • Bayley Scales of Infant and Toddler Development
  • Mullen Scales of Early Learning
  • Communication and Symbolic Behavior Scales (CSBS)
Limitations
  • Significant  missingness of data in Dataset 1 for some variables including gender, and functional assessment measures.
  • Follow-up timing varies, sample attrition issues.  
  • It is not possible to link datasets 1 and 2 (for confidentiality reasons).
Data Details
Primary Website

https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/36516 
Data Access

https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/36516/datadocumentation 
Data Access Requirements

 Public Use Dataset

 Data Use agreement, No cost (Restricted-use dataset)
Summary Tables/Reports

Downloadable Codebooks:

https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/36516/datadocumentation 

Individual variables:

https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/36516/variables 
Data Components
  • Dataset 1: Functional and Communication Assessments of Individuals with MR (Eligibility screening)
  • Dataset 2: (n=18) Triadic Eye Gaze Intervention 
Similar/Related Dataset(s)

This study is one of the three projects in the Communication of People with MR, 2006 to 2012 Series. The other two studies in this series are:
Selected Papers
Other Papers

Data-related publications list:

https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/36516/publications 
Technical

Data Documentation:

https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/36516/datadocumentation
Related Repositories
Repositories

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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.

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