The traditional points system and subsequent Grade Point Average (GPA) in education perpetuates an evaluation of academic performance which reflects arbitrary weighting of assignments and/or assessments. As such, GPAs which are calculated using a traditional points system are not unidimensional in their design. The baseball batting and slugging…

This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…

We study the progressivity of state funding of school districts under Tennessee's weighted student funding formula. We propose a simple definition of progressivity based on the difference in exposure to district per-pupil funding between poor and non-poor students. The realized progressivity of district funding in Tennessee is much smaller--only…

Certain stereotypes can be associated with people from different countries. For example, the Italians are expected to be emotional, the Germans functional, and the Chinese hard-working. In this study, we cluster all 15-year-old students representing the 68 different nations and territories that participated in the latest Programme for…

Two independent studies conducted by Baker, Sciarra, and Farrie (2015) and Augenblick, Palaich and Associates (2015) reveal Alabama's public school funding mechanism to be regressive and inequitable. The recommendation from both of these studies is to develop a funding formula including per pupil-based allocation and supplemental categorical…

Although International Association for the Evaluation of Educational Achievement-pioneered international large-scale assessment (ILSA) of education is now a well-established science, non-practitioners and many users often substantially misunderstand how large-scale assessments are conducted, what questions and challenges they are designed to…

Teachers want to succeed, but they typically lack the conditions for success. Teachers generally work in isolation. They're on their own to adjust practice to better serve students. What guidance they get often is plagued by vague teaching standards, overly numerous and often trivial learning objectives, and testing systems that measure only some…

The results of large-scale international assessments such as Programme for International Student Assessment (PISA) have attracted a considerable attention worldwide and are often used by policy-makers to support educational policies. To ensure that the published results represent the actual population, these surveys go through a thorough scrutiny…

Student feedback, test-score growth calculations, and observations of practice appear to pick up different but complementary information that, combined, can provide a balanced and accurate picture of teacher performance, according to research recently released from the Bill & Melinda Gates Foundation. A composite measure on teacher effectiveness…

Schools and neighborhoods are thought to be two of the most important contextual influences on student academic outcomes. Drawing on a unique data set that permits simultaneous estimation of neighborhood and school contributions to student test score gains, we analyze the distributions of these contributions to consider the relative importance of…

States and districts have launched unprecedented efforts in recent years to build new feedback and evaluation systems that support teacher growth and development. These systems depend on trustworthy information about teaching effectiveness--information that recognizes the complexity of teaching and is trusted by both teachers and administrators.…

Large-scale studies, such as the Trends in International Mathematics and Science Study (TIMSS), provide data to understand cross-national differences and similarities. In this study, we aimed to identify factors predicting mathematics achievement of Turkish students by comparing to Australian students. First, construct equivalence and item bias…

Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…

There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…

We tested the hypothesis that highly structured course designs, which implement reading quizzes and/or extensive in-class active-learning activities and weekly practice exams, can lower failure rates in an introductory biology course for majors, compared with low-structure course designs that are based on lecturing and a few high-risk assessments.…