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ERIC Number: EJ994907
Record Type: Journal
Publication Date: 2013
Pages: 21
Abstractor: As Provided
Reference Count: 39
ISBN: N/A
ISSN: ISSN-1492-6156
Predictors of Science Subject Discipline Identities: A Statistical Analysis
Nieswandt, Martina; Barrett, Sarah E.; McEneaney, Elizabeth H.
Canadian Journal of Science, Mathematics and Technology Education, v13 n1 p90-110 2013
This quantitative study (n = 247) explores whether preservice science teachers express science-specific identities that reflect multiple areas of their beliefs (e.g., purpose for science teaching, inclusion of science-technology-society-environment issues into science teaching, and nature of science) as well as other individual characteristics (e.g., focus of university training, perception of self within professional communities, and interest in becoming a teacher). Hierarchical cluster analysis showed a three-cluster solution representing three subject-specific identities: Model Citizen, Model Science Teacher, and Model Non-Science Teacher. Additional analysis (multinomial logistic regression) revealed cluster membership associated with preservice science teachers' most comfortable teaching subject. (Contains 4 tables, 2 figures, and 1 note.)
Routledge. Available from Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada