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ERIC Number: ED509276
Record Type: Non-Journal
Publication Date: 2009-Apr-16
Pages: 34
Abstractor: As Provided
Reference Count: 36
Using Factor Analysis and Hierarchical Linear Modeling to Analyze STEM Majors' Perceptions of the Commitment to Teach in High Need Schools Survey
Liou, Pey-Yan; Lawrenz, Frances; Madsen, Christina; Braam, Maureen; Medhanie, Amanuel
Online Submission, Paper presented at the Annual Meeting of the American Educational Research Association (San Diego, CA, Apr 16, 2009)
Factor analysis was applied to analyze the Noyce Scholarship Program Evaluation Scholar Survey, and then further hierarchical linear modeling (HLM) was applied to differentiate the variance due to program effects from individual scholars' effects. This survey was constructed to determine scholars' perception of their individual teacher preparation programs, their personal experience, and their decision to teach in high needs schools. Explanatory factor analysis was used to combine the many items into a few constructs. Based on theories and research, group members' professional opinions and confirmatory factor analysis, the final eight-factor model was determined. Two of the eight factors are scholars' perceptions of the influence of scholarship on becoming teachers and becoming high need teachers. While the two factors about scholars' perceptions of scholarships were entered as the outcome variables in HLM analyses, other variables were used as explanatory variables at the scholar level and the program level. The results show the program effect and some variables at the scholar level and the program level had statistically significant relationships with the outcome variables. Appended is: Eight Factors for the NSPES Survey/Groups of Scholars within the Eight Factors. (Contains 6 tables.)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: National Science Foundation
Authoring Institution: N/A