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Association: Name: MWERA Annual Meeting URL: http://www.mwera.org
Citation: URL: http://www.allacademic.com/meta/p275478_index.html Direct Link: HTML Code:

Wallace, Stephen. and Gavin, Kathleen. "Hierarchical Linear Modeling (HLM) Analysis of Student Growth in Secondary Education Mathematics: A School-Based Application of Growth Modeling" Paper presented at the annual meeting of the MWERA Annual Meeting, Westin Great Southern Hotel, Columbus, Ohio, Oct 15, 2008 <Not Available>. 2008-10-22 <http://www.allacademic.com/meta/p275478_index.html>

Wallace, S. R. and Gavin, K. A. , 2008-10-15 "Hierarchical Linear Modeling (HLM) Analysis of Student Growth in Secondary Education Mathematics: A School-Based Application of Growth Modeling" Paper presented at the annual meeting of the MWERA Annual Meeting, Westin Great Southern Hotel, Columbus, Ohio Online <PDF>. 2008-10-22 from http://www.allacademic.com/meta/p275478_index.html

Publication Type: Paper Presentation Abstract: In reaction to pressures from No Child Left Behind (NCLB) legislation to make adequate yearly progress (AYP) and increased awareness of the potential benefits of hierarchical linear modeling (HLM), an analysis of student growth in a large secondary education mathematics program was undertaken. The research questions and analyses examined: (a) whether there was significant variability across students� mathematics achievement; (b) what the average rate of growth in mathematics achievement was; (c) if there was upward curvature to mathematics growth from 8th grade to 11th grade; and (d) whether there were significant differences between mathematics programs, gender, or high school buildings. Results indicated significant variability in mathematics achievement, significant average change in the upward rate of growth in mathematics achievement, no differences between programs or gender, and significant differences between buildings. Implications for the utility of HLM and growth modeling techniques are elaborated on in the context of real-world school settings.

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