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Researcher Detail

Frank H. Martin
Researcher
Mathematica Policy Research

Frank H. Martin (Ph.D., Special Education, University of Texas) is a researcher at Mathematica Policy Research, in the Center for Studying Disability Policy. Dr. Martin’s work primarily focuses on disability policy, vocational rehabilitation, disability disparities, transition-age youth, and knowledge translation. Some of his recent disability-related work includes a multivariate analysis using RSA-911 data on quality of employment outcomes after successful vocational rehabilitation case closure. Dr. Martin is also the lead researcher for a study on disability type, occupational classifications, and earnings, after status 26 case closure. At Mathematica, Dr. Martin conducts research and evaluation activities on the Work Incentives Planning and Analysis project and he a member of the implementation team for the Benefits Offset National Demonstration project, funded by SSA. Prior to coming to Mathematica, Martin was a program associate at SEDL in Austin, Texas where he performed research, technical assistance and demonstration activities that supported the U.S. Department of Education’s National Institute on Disability and Rehabilitation Research (NIDRR). At SEDL, Martin developed and implemented research and knowledge translation activities for two projects: the National Center for the Dissemination of Disability Research (NCDDR) and the Vocational Rehabilitation Service Models for Individuals with Autism Spectrum Disorders project. During his time at the University of Texas at Austin, Dr. Martin was supported by the Multicultural Special Education Leadership Grant, funded by the by the U. S. Department of Education, Office of Special Education and Rehabilitative Services (OSERS). Martin has presented at national conferences and published peer-reviewed articles in the Journal of Disability Policy Studies, Rehabilitation Counseling Bulletin, and Patient Education & Counseling.



Associated Research Projects
 
UM11-03:  Vocational Rehabilitation Potential for Early Intervention