With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…

State education agencies are sitting on rich repositories of quantitative and qualitative assessment data. This document is designed to provide a conceptual framework and implementation guidance that can help agency leadership leverage and interrogate student performance data in systematic ways for reporting, outreach, and planning purposes. The…

The synthetic function is a weighted average of the identity (the linking function for forms that are known to be completely parallel) and a traditional equating method. The purpose of the present study was to investigate the benefits of the synthetic function on small-sample equating using various real data sets gathered from different…

The global spread of national assessment testing activities, and the growing pressure to move beyond basic measures of participation in educational monitoring, means that student achievement measures are likely to become increasingly relevant indicators of systemic progress in the developing world. Using data from the CESSP project in Cambodia,…

With the focus on how a sample of 25 Arab ESL learners respond to the TOEFL-iBT reading tasks, this study aimed to find out what strategies respondents tend to use, investigate if there are differences between high- and low-scorers in strategy use, and determine aspects of effective strategy use among respondents. Data were collected using a…

The ideas and examples in this book help teachers successfully collaborate to raise student achievement through the use of formative assessments. Here, Todd Stanley and Betsy Moore, educators with over 40 years of combined experience, offer proven formative assessment strategies to teachers in a professional learning community. Contents include:…

Although the Angoff procedure is among the most widely used standard setting procedures for tests comprising multiple-choice items, research has shown that subject matter experts have considerable difficulty accurately making the required judgments in the absence of examinee performance data. Some authors have viewed the need to provide…

States and other educational entities receiving Part B funding under the Individuals with Disabilities Education Act (IDEA) submitted their Annual Performance Reports (APRs) and Section 618 Table 6 data together to the U.S. Secretary of Education on or before February 1, 2009. These reports may have been modified during the following few months,…

New curricula in the social studies requires new procedures in student evaluation. (NI)

Evaluates three strategies for controlling input-level ability differences in research utilizing ability test performance for evaluating school effectiveness: (1) longitudinal, predetermined ability measures; (2) cross-sectional, endogenous ability measures; and (3) socioeconomic measures as proxies for ability. (Author/GC)

This report summarizes the twelfth survey of states by the National Center on Educational Outcomes (NCEO) at the University of Minnesota. Results are presented for all 50 states and 8 of the 11 unique states. The purpose of this report is to provide a snapshot of the new initiatives, trends, accomplishments, and emerging issues during this…

Separate selection and pretesting of students eliminate regression effects in the pre-post achievement gain measured in the RMC Model--A method of program evaluation. (CP)

The Department of Measurement, Statistics, and Evaluation (EDMS) at the University of Maryland is working to develop Master's degree programs that are oriented around developing assessment professionals for work in applied settings. Two fundamentally different sets of experiences are being developed: (1) assessment development, administration, and…

The accuracy with which regression models estimate treatment effects is dependent upon a number of conditions. The stability of the regression line (a function of sample size and correlation between pretest and posttest) is said to be the most important of these conditions. The utility of regression models is proportional to the size of the…

This symposium deals with recent issues in the development of the National Assessment model. General goals are outlined and the following topics are discussed: "Objectives and Exercises" (Jack C. Merwin); "Sampling" (A. Finkner); and "Data Analysis" (John Milholland). (CK) Aspect of National Assessment (NAEP) dealt…