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ERIC Number: EJ777943
Record Type: Journal
Publication Date: 2007-Jun
Pages: 9
Abstractor: Author
Reference Count: 14
ISBN: N/A
ISSN: ISSN-0146-3934
Teacher Certification Tests: Using Linear and Logistic Regression Models to Predict Success of Secondary Pre-Service Teachers
Poelzer, G. Herold; Zeng, Liang; Simonsson, Marie
College Student Journal, v41 n2 p305-313 Jun 2007
This research, conducted at a university in South Texas (87% Hispanic), investigated how well pre-service teachers' performance on the Secondary Professional Development Examination for Certification of Educators in Texas (ExCET) can be predicted. The linear regression equation explained 51% of the total variance in the ExCET scores while the logistic regression equation accurately predicted 80% of the overall pass/fail status. This study concludes that English language skills contribute enormously to the success of Hispanic pre-service teachers on the ExCET and suggests that school districts ensure that students develop these skills. The methodology used in this study is applicable to certification tests in general. (Contains 7 tables.)
Project Innovation, Inc. P.O. Box 8508 Spring Hill Station, Mobile, AL 36689-0508. Tel: 251-343-1878; Fax: 251-343-1878; Web site: http://www.projectinnovation.biz/csj.html
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Texas