NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1049239
Record Type: Journal
Publication Date: 2015
Pages: 11
Abstractor: As Provided
ISSN: ISSN-1066-8926
Predicting Community College Student's Intention to Transfer and Major in STEM: Does Student Engagement Matter?
Myers, Bianca; Starobin, Soko S.; Chen, Yu; Baul, Tushi; Kollasch, Aurelia
Community College Journal of Research and Practice, v39 n4 p344-354 2015
This study examined the influence of community college students' engagement on their intention to transfer and major in a STEM (science, technology, engineering, and math) field. The STEM Student Success Literacy Survey was used to collect data among all 15 community colleges in Iowa. The authors developed a measurement model for community college student engagement and used the model to predict students' intention to transfer and major in STEM fields. The engagement measurement model consisted of four constructs: peer engagement, transfer engagement, faculty/staff encouragement/assistance, and faculty engagement on coursework. To predict the students' intention, the logistic regression analysis was employed. The results suggested that students' demographic and background characteristics contributed to predict their STEM aspirations. The study was concluded by implications for policy, practice, and future research.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Two Year Colleges; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Iowa
Grant or Contract Numbers: N/A