Patterns and predictors of English language learner representation in special education
by Sullivan, Amanda Louise, Ph.D., ARIZONA STATE UNIVERSITY, 2009, 94 pages; 3367294

Abstract:

The disproportionate representation of culturally and linguistically diverse students in special education has been a persistent problem in education for more than four decades. The core issue concerns the possibility that some students may be misidentified, thereby receiving inappropriate educational services and being unnecessarily placed at-risk for the negative outcomes associated with disability labels, while others may fail to be identified for much needed services. The literature on disproportionality has been dominated by analyses of identification patterns for students identified as racial/ethnic minorities, particularly those who are Black and Native American, and, to a lesser extent, Latino/a, at both the national, state, and local levels. There has been considerably less attention to the continued disproportionate representation of linguistic minority students among those identified as disabled. Moreover, while there have been several studies investigating the predictors of disproportionality, few have included students identified as English language learners (ELLs). This study addresses these gaps in the literature by examining the extent and context of ELL disproportionality in special education in a state with a large population of students identified as ELLs. Utilizing local education agency (LEA) data obtained from the Arizona Department of Education, this study examines identification and placement patterns for the 1998-1999 to 2005-2006 academic years in order to understand the extent of disproportionality in special education and the high-incidence disability categories and in each of the educational environments in which students with disabilities are served. Additionally, the study examines how certain characteristics of LEAs predict these patterns. Results show that students identified as ELLs are overrepresented in special education overall and in the high-incidence categories of specific learning disability, mild mental retardation, and speech language impairment at the state-level and in many LEAs These students are more likely than students identified as White to be served in the least restrictive environments, and are increasingly less likely to be removed for the majority of the school day. Predictors of disproportionality varied by identification and placement categories. The implications for research and practice are addressed.

 
Advisor
SchoolARIZONA STATE UNIVERSITY
SourceDAI/A 70-07, p. , Sep 2009
Source TypeDissertation
SubjectsEducational psychology; Special education
Publication Number3367294
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:3367294
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.