ERIC Number: EJ777943
Record Type: Journal
Publication Date: 2007-Jun
Pages: 9
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0146-3934
EISSN: N/A
Available Date: N/A
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.)
Descriptors: Regression (Statistics), Teacher Certification, Language Skills, Prediction, Secondary School Teachers, Preservice Teachers, Professional Development, Hispanic American Students, English (Second Language), Teacher Competencies, Student Teacher Evaluation, Evaluation Methods, Language Proficiency
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
Grant or Contract Numbers: N/A
Author Affiliations: N/A

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