In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…

This study constitutes the secondary analysis of data collected as part of classroom instruction in a prior practitioner inquiry study. Consequently, IRB approval, parental consent, and participant assent for the present study were obtained after the conclusion of the original study.

International large-scale assessments are now part of the educational landscape in many countries and often feed into major policy decisions. Yet, such assessments also provide data sets for secondary analysis that can address key issues of concern to educators and policymakers alike. Traditionally, such secondary analyses have been based on a…

A good assessment plan combines many direct and indirect measures to validate the collected data. One often controversial assessment measure comes in the form of retention exams. Although assessment retention exams may come with faults, others advocate for their inclusion in program assessment. Objective-based tests may offer insight to…

When New York state released the first results of the exams under the Common Core State Standards, many wrongly believed that the results showed dramatic declines in student achievement. A closer look at the results showed that student achievement may have increased. Another lesson from the exams is that states need to closely coordinate new data…

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…

This report reviews the major international and regional large-scale educational assessments, including international surveys, school-based surveys and household-based surveys. The report compares and contrasts the cognitive and contextual data collection instruments and implementation methods used by the different assessments in order to identify…

Maintaining comparability of test scores is a major challenge faced by testing programs that have almost continuous administrations. Among the potential problems are scale drift and rapid accumulation of errors. Many standard quality control techniques for testing programs, which can effectively detect and address scale drift for small numbers of…

Monitoring Trends in Educational Growth (MTEG) offers a flexible, collaborative approach to developing and implementing an assessment of learning outcomes that yields high-quality, nationally relevant data. MTEG is a service that involves ACER staff working closely with each country to develop an assessment program that meets the country's…

The purpose of this mixed method sequential explanatory case study was to describe the relationship of a student outcomes assessment program, as measured by the Peregrine Academic Leveling Course, (ALC), to the academic performance, determined by scores on the Peregrine Common Professional Component (CPC) examination, of students enrolled during…

This is the thirteenth annual report by the National Center on Educational Outcomes (NCEO) that analyzes public reporting practices of assessment data for students with disabilities in K-12 schools in the United States. The Individuals with Disabilities Education Act (IDEA) required states to disaggregate performance data at the state and district…

In operational testing programs using item response theory (IRT), item parameter invariance is threatened when an item appears in a different location on the live test than it did when it was field tested. This study utilizes data from a large state's assessments to model change in Rasch item difficulty (RID) as a function of item position change,…

There has been little data collected on how much testing actually goes on in America's schools and how the results are used. So in the Spring of 2014, the Council staff developed and launched a survey of assessment practices. This report presents the findings from that survey and subsequent Council analysis and review of the data. It also offers…

U.S. state educational testing programs administer tests to track student progress and hold schools accountable for educational outcomes. Methods from item response theory, especially Rasch models, are usually used to equate different forms of a test. The most popular method for estimating Rasch models yields inconsistent estimates and relies on…

The federal No Child Left Behind Act (NCLB) holds schools, districts, and states accountable for improving the academic achievement of all students, including the nearly 14% of public school students who receive special education services because they have an identified disability. By 2014, 100% of students with disabilities are expected to…