• Title/Summary/Keyword: univariate generalizability analysis

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Exploring the Application of Generalizability Theory to Mathematics Teacher Evaluation for Professional Development in Korea Based on the Analysis of Instructional Quality Assessment of Mathematics Teachers in the U.S. (미국 수학교사의 교수 질 평가도구 분석을 통한 우리나라 수학 교원능력개발평가에서의 일반화가능도 이론 활용성 탐색)

  • Kim, Sungyeun
    • Communications of Mathematical Education
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    • v.28 no.4
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    • pp.431-455
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    • 2014
  • The purpose of this study was to suggest methods to apply generalizability theory to mathematics teacher evaluation using classroom observations in Korea by analysing mathematics teachers in the U.S. using the instructional quality of assessment instrument as an illustrative example. The subjects were 96 teachers participating in Year 3 and Year 4 from the Middle-school Mathematics and the Institutional Setting of Teaching (MIST) project funded by the National Science Foundation since 2007. The MIST project investigates the following question: What does it takes to support mathematics teachers' development of ambitious and equitable instructional practices on a large scale (MIST, 2007). This study examined data based on both the univariate generalizability analysis using GENOVA program and the multivariate generalizability analysis using mGENOVA program. Specifically, this study determined the relative effects of each error source and investigated optimal measuring conditions to obtain the suitable generalizability coefficients. The methodology applied in this study can be utilized to find effective optimal measurement conditions for the mathematics teacher evaluation for professional development in Korea. Finally, this study discussed limitations of the results and suggested directions for future research.