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    <title>MARS Community: College of Health and Human Services</title>
    <link>http://hdl.handle.net/1920/2852</link>
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      <link>http://digilib.gmu.edu:8080/dspace/simple-search</link>
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      <title>Differing Priorities of Counselors and Customers to a Consumer Choice Model in Rehabilitation</title>
      <link>http://hdl.handle.net/1920/3446</link>
      <description>Title: Differing Priorities of Counselors and Customers to a Consumer Choice Model in Rehabilitation&lt;br/&gt;&lt;br/&gt;Authors: Wolf-Branigin, Michael; Daeschlein, Michael; Cardinal, Barbara; Twiss, Mary&lt;br/&gt;&lt;br/&gt;Abstract: This consumer choice project demonstrated amodel for achieving employment outcomes basedupon the customer's informed choice and controlof funding. Responses concerning serviceoptions of 36 customers and 22 counselors whoparticipated in a vocational rehabilitation consumerchoice project were obtained. Resultsdemonstrated that consumers rated project activitieswhich were most time intensive and customerfocused as paramount to their rehabilitation.Counselors rated activities that had beenidentified as the least time consuming most vital.This discrepancy has significant implications forrehabilitation counselors and related professionalsas consumer choice components increasinglybecome used in their practices.&lt;br/&gt;&lt;br/&gt;Description: Copyright 2000 National Rehabilitation Association.</description>
      <pubDate>Sat, 01 Jan 2000 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Applying Spatial Randomness To Community Inclusion</title>
      <link>http://hdl.handle.net/1920/3445</link>
      <description>Title: Applying Spatial Randomness To Community Inclusion&lt;br/&gt;&lt;br/&gt;Authors: Wolf-Branigin, Michael&lt;br/&gt;&lt;br/&gt;Abstract: A spatial analytic methodology incorporating true locations is demonstrated using Monte Carlo simulations as a complementto current psychometric and quality of life indices for measuring community inclusion. Moran 'sl,a measure ofspatial autocorrelation, is used to determine spatial dependencies in housing patterns for multiple variables, includingfamily/friends involvement in future planning, home size, and earned income. Simulations revealed no significant spatialautocorrelation, which is a socially desirable result for housing locations for people with disabilities. Assessing theabsence of clustering provides a promising methodology for measuring community inclusion.&lt;br/&gt;&lt;br/&gt;Description: http://tbf.coe.wayne.edu/jmasm/</description>
      <pubDate>Tue, 01 Jan 2002 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Designing Accessible Managed Care Services for People with Physical Disabilities: Consumer Suggestions Within an Emergent Design Process</title>
      <link>http://hdl.handle.net/1920/3444</link>
      <description>Title: Designing Accessible Managed Care Services for People with Physical Disabilities: Consumer Suggestions Within an Emergent Design Process&lt;br/&gt;&lt;br/&gt;Authors: Wolf-Branigin, Michael; LeRoy, Barbara&lt;br/&gt;&lt;br/&gt;Abstract: Persons with physical disabilities have difficulty accessinghealth care. This has become more pronounced with the emergence ofmanaged care and other efforts to limit growing healthcare costs. In respondingto a state's Medicaid office interest in designing accessiblehealth services, a consumer-based evaluation including a series of nine focusgroups (96 participants) was conducted using an emergent designmethod. Our inductive analysis approach identified difficulties and providedthe basis for recommending strategies to improve access. Two setsof consumer recommended strategies consistently were expressed duringthis process: (1) initiating one-to-one advocacy to improve local servicecoordination and (2) performing person-centered planning at enrollmentin a managed care plan to facilitate appropriate and prompt access. Theseaccess strategies formed the basis for a later intervention design.&lt;br/&gt;&lt;br/&gt;Description: Copyright 2004, Taylor and Francis. http://www.haworthpress.com/store/product.asp?sku=J160</description>
      <pubDate>Thu, 01 Jan 2004 00:00:00 GMT</pubDate>
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    <item>
      <title>Supporting and Preparing Future Decision-makers with the Needed Tools</title>
      <link>http://hdl.handle.net/1920/3443</link>
      <description>Title: Supporting and Preparing Future Decision-makers with the Needed Tools&lt;br/&gt;&lt;br/&gt;Authors: Wolf-Branigin, Michael&lt;br/&gt;&lt;br/&gt;Abstract: Educational and social service researchers and evaluators continue to develop advanced statisticalmethods. To ensure that our students have the essential skills as they enter direct service, the focus mustbe on assuring that they learn readily understandable methods that are appropriate for small samples anduse repeated measures.</description>
      <pubDate>Sun, 01 Jan 2006 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Self-Organization in Housing Choices of Persons with Disabilities</title>
      <link>http://hdl.handle.net/1920/3442</link>
      <description>Title: Self-Organization in Housing Choices of Persons with Disabilities&lt;br/&gt;&lt;br/&gt;Authors: Wolf-Branigin, Michael&lt;br/&gt;&lt;br/&gt;Abstract: Complexity theory provides a promising exploratoryframework for demonstrating quantifiable improvements of disabilityinterventions. This paper introduces concepts of complex systems theoryand applies one particular underlying concept, self-organizing, to aprogram providing housing and other support services to persons withdisabilities. Using this specific component of complexity theory providesa beginning point to explore how consumers and their allies madechoices on where their homes would be located.&lt;br/&gt;&lt;br/&gt;Description: Copyright 2006 Taylor and Francis. https://www.haworthpress.com/default.asp</description>
      <pubDate>Sun, 01 Jan 2006 00:00:00 GMT</pubDate>
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