Programming for the generalization of oral reading fluency: A comparison of repeated readings versus repeated readings of multiple exemplars
by Silber, Jennifer Michele, Ph.D., SYRACUSE UNIVERSITY, 2008, 129 pages; 3333587

Abstract:

Although a number of interventions have been shown to be effective for improving students' oral reading fluency rates, significantly less research has been conducted to determine which interventions promote generalized reading performance to new texts. General case instruction (also called multiple exemplar instruction), in which teaching examples are carefully selected to sample from the stimulus and response variation, is a generalization programming technique that has been applied to myriad community skills but far fewer academic skills. The current study sought to apply this generalization programming strategy to promote generalized oral reading fluency. The study also sought to compare the efficiency (i.e., the amount of gains made in the amount of intervention time) of multiple exemplar instruction and a more typical listening passage preview/repeated readings intervention package. Participants consisted of 111 first and second grade students from three public schools in a large urban school district. One-way ANOVAs on the gain scores from pre-test to post-test were used to assess the effectiveness of multiple exemplar instruction, listening passage preview/repeated readings, and a time and attention control condition at promoting generalized reading fluency (in words correct per minute). Results showed that students in both the multiple exemplar group and the listening passage preview/repeated readings group outperformed students in the control group. Moreover, multiple exemplar instruction was more efficient. Implications, limitations, and directions for future research are discussed.

 
Advisor
SchoolSYRACUSE UNIVERSITY
SourceDAI/A 69-10, p. , Dec 2008
Source TypeDissertation
SubjectsElementary education; Educational psychology; Reading instruction
Publication Number3333587
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:3333587
  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.