This paper presents the appendices to the "Improving School Accountability in California" report. Appendices include: (1) Data and Methodology; and (2) Additional Projections. (Contains 1 table, 4 figures and 3 footnotes.) [For the main report, "Improving School Accountability in California," see ED518179.]

These tables provide state-level information on the conferring of Science, Technology, Engineering, and Mathematics (STEM) awards (degrees and certificates) from academic years 2000-01 and 2008-09, both overall and by field. Specifically, the tables provide information on: (1) the number of awards conferred in STEM fields, overall (table 1) and by…

This presentation discusses the use of a time series approach to the analysis of daily attendance in two urban high schools over the course of one school year (2009-10). After establishing that the series for both schools were stationary, they were examined for moving average processes, autoregression, seasonal dependencies (weekly cycles),…

Analysis of large-scale sequential data has become an important task in machine learning and pattern recognition, inspired in part by numerous scientific and technological applications such as the document and text classification or the analysis of biological sequences. However, current computational methods for sequence comparison still lack…

This paper introduces a simple and intuitive graphical display for transition table based accountability models that can be used to communicate information about students' status and growth simultaneously. This graphical transition table includes the use of shading to convey year to year transitions and different sized letters for performance…

Purpose: The purpose of the paper is to provide a thorough analysis of the concepts of business intelligence (BI), knowledge management (KM) and analytical CRM (aCRM) and to establish a framework for integrating all the three to each other. The paper also seeks to establish a KM and aCRM based framework using data mining (DM) techniques, which…

The purpose of this ITEMS module is to provide an introduction to subscores. First, examples of subscores from an operational test are provided. Then, a review of methods that can be used to examine if subscores have adequate psychometric quality is provided. It is demonstrated, using results from operational and simulated data, that subscores…

Outliers in questionnaire data are unusual observations, which may bias statistical results, and outlier statistics may be used to detect such outliers. The authors investigated the effect outliers have on the specificity and the sensitivity of each of six different outlier statistics. The Mahalanobis distance and the item-pair based outlier…

McLachlan (2011) and Vermunt (2011) each provided thoughtful replies to our original article (Steinley & Brusco, 2011). This response serves to incorporate some of their comments while simultaneously clarifying our position. We argue that greater caution against overparamaterization must be taken when assuming that clusters are highly elliptical…

Annual "Profiles" reports are comprehensive digests of data on education management organizations. Analysis and interpretation of the data in this report are, for the most part, limited to describing general trends over time. The report is intended for a broad audience. Policymakers, educators, school district officials, and school board…

Establishing reliable indicators of the current state of school crime and safety across the nation and regularly updating and monitoring these indicators is important in ensuring the safety of our nation's students. This is the aim of "Indicators of School Crime and Safety." This report is the fifteenth in a series of annual publications…

The purpose of this study is to explore and describe the process of alliance creation and maintenance between U.S. institutions of higher education and enterprises in Hong Kong. The methodology is a qualitative case study in which administrators from U.S. universities offering programs in Hong Kong and administrators from organizations in Hong…

Data can serve as a powerful tool to ensure equity for students: if educators examine data through the lens of social justice, they will reveal success stories and wounds. At the author's former school, Nipher Middle School in Saint Louis, Missouri, the wounds of previous data-driven decisions were real. Using a social justice lens to examine…

In recent years, the concerns about the privacy for the electronic data collected by government agencies, organizations, and industries are increasing. They include individual privacy and knowledge privacy. Privacy-preserving data publishing is a research branch that preserves the privacy while, at the same time, withholding useful information in…

Learn assessment strategies that provide you with a real representation of student progress--without the need for excessive tests. In "Test Less, Assess More: A K-8 Guide to Formative Assessment", authors Leighangela Brady and Lisa McColl show you how to turn daily classroom lessons and activities into valuable opportunities for assessment,…