Random Equating (RE) and Heuristic Approach (HA) are two linking procedures that may be used to compare the scores of individuals in two tests that measure the same latent trait, in conditions where there are no common items or individuals. In this study, RE--that may only be used when the individuals taking the two tests come from the same…

Student data is an invaluable asset for driving educational success, yet it comes with significant responsibility. As states explore ways to enhance data privacy protections, they must strike a balance between safeguarding sensitive information and leveraging data for student success. This brief examines the best practices in student data privacy…

Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an attempt to disentangle this relationship and gain further insight into examinees' test-taking processes,…

In this study, it was aimed to examine the effect of missing data in different patterns and sizes on test equating methods under the NEAT design for different factors. For this purpose, as part of this study, factors such as sample size, average difficulty level difference between the test forms, difference between the ability distribution,…

Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

The application of item response theory (IRT) is almost universal in the development, implementation, and maintenance of large-scale assessments. Therefore, establishing the fit of IRT models to data is essential as the viability of calibration and equating implementations depend on it. In a typical test administration situation, measurement…

Monte Carlo methods are an accepted methodology in regards to generation critical values for a Maximum test. The same methods are also applicable to the evaluation of the robustness of the new created test. A table of critical values was created, and the robustness of the new maximum test was evaluated for five different distributions. Robustness…

States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…

In 2018, state boards of education discussed and adopted policies to increase accountability for student data protection and to increase transparency of schoolwide data through data dashboards. This analysis highlights policy changes in state data protection requirements, test administration and security, records retention, and confidentiality…

This article discusses the effects of the datafication and digitalisation of education policy in the context of the Russian Federation. It taps into the policies and practices invented as a result of rising audit cultures and the scientisation and datafication of education governance. These processes turn sites of public examinations into sites of…

The town motto, "people of pride and purpose," is evident throughout Panhandle, Texas. In a town of 2,000, one-third of the population is school-age children, and all attend Panhandle elementary (pre-K-5), junior high (6-8), or high school. The Panhandle Panthers have a lot of school pride, which stems in large part from the Panhandle…

There is a priority for schools to address students' social and emotional needs as is done for academic learning. Tiered models of prevention provide a framework for teaching social skills and behavioral expectations, as well as academics, with positive, proactive, evidence-based practices. Central to responding to students' needs is accurate…

The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…

In this article, I offer an examination of findings from a recently completed qualitative study conducted in the south-eastern region of the US. In the study, nine teachers from three different schools representing two different school districts were interviewed twice about how they dealt with their students' Stanford Achievement Test 10 (SAT 10)…

This paper reports on the perceptions and experiences of primary school teachers of the challenges they faced and the prospects of using data from the Annual National Assessments (ANAs). While the majority stated that information from the ANAs can assist teachers to improve learning, responses on the use of the ANAs in the classroom were mixed,…