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Shihan Deng, University of Nebraska - Lincoln
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Josephine Lau, Ph.D., University of Nebraska - Lincoln
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Houston Lester, University of Nebraska - Lincoln
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James Bovaird, Ph.D., University of Nebraska - Lincoln
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Lily Wang, Ph.D., P.E., University of Nebraska - Lincoln
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Clarence Waters, Ph.D., University of Nebraska - Lincoln
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In 2006, the voters from the state of California approved the Proposition 1D, which provided $100 million in an incentive grant. Knowing as High Performance Incentive (HPI), this supplemental grant is intended to promote the using of high performance attributes in new and modernization project for K-12 schools. This paper examines the differences on the average amount of change of student achievement results between before and after the completion of high performance attributes for selected funding grantee schools. From the grant description, high performance attributes are designing and using materials that improve indoor environmental quality (IEQ) of schools. Examples include promoting energy and water efficiency, maximizing the use of natural lighting, improving indoor air quality, utilizing materials that emit a minimal amount of toxic substances, and employing acoustics that are conducive to teaching and learning. Criteria from each aspect form the predictors, which used to compare the achievement results built based on the California Standardized Testing and Results Program (STAR) and schools’ Academic Performance Index (API). The general linear mixed linear model (GLMLM) is utilized to analyze the predictors and achievement results. Academic achievement results include several years of results before the project start and the year after the project completion. Average difference of the before and after achievement results is then evaluated based on varied levels of certain predictors.
