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…

Linking score scales across different tests is considered speculative and fraught, even at the aggregate level. We introduce and illustrate validation methods for aggregate linkages, using the challenge of linking U.S. school district average test scores across states as a motivating example. We show that aggregate linkages can be validated both…

A common interpretation of achievement test results is that they provide measures of achievement that are much like other measures we commonly use for height, weight, or the cost of goods. In a limited sense, such interpretations are correct, but some nuances of these interpretations have important implications for the use of achievement test…

This case study provides superintendents, principals, and teachers with information on how three school systems have used an assessment developed by the Organisation for Economic Co-operation and Development (OECD)--the OECD Test for Schools--to monitor students' academic outcomes and inform shifts in policy and teacher practice to meet students'…

Data from 403 third graders were analyzed to determine relative and combined efficacy of group-administered Curriculum-Based Measures (CBMs) and Teacher Rankings of student reading and math performance taken early in the school year to predict end-of-year achievement scores. Teacher Rankings added to the power of CBMs to predict reading (R2 change…

International Large Scale Assessments have been producing data about educational attainment for over 60 years. More recently however, these assessments as tests have become digitally and computationally complex and increasingly rely on the calculative work performed by algorithms. In this article I first consider the coordination of relations…

By applying multilevel models with random effects, the authors reviewed and synthesized findings from 30 studies that were published in the last 20 years exploring the relationship between the Educational Testing Service Major Field Test for a Bachelor's Degree in Business (MFTB) and related factors. The results suggest that MFTB scores correlated…

This paper presents a noncompensatory latent trait model, the multicomponent latent trait model for diagnosis (MLTM-D), for cognitive diagnosis. In MLTM-D, a hierarchical relationship between components and attributes is specified to be applicable to permit diagnosis at two levels. MLTM-D is a generalization of the multicomponent latent trait…

The first large-scale, nationwide academic achievement testing program using Stanford Achievement Test (Stanford) for deaf and hard-of-hearing children in the United States started in 1969. Over the past three decades, the Stanford has served as a benchmark in the field of deaf education for assessing student academic achievement. However, the…

This paper explores how admissions tests are used in different higher education systems around the world. This is a relatively new area of research, despite the fact that admissions processes are a key component of university practices and given the ever increasing globalisation of higher education. This paper shows that aptitude and achievement…

This study investigates the benefits of no-stakes educational testing during students' summer vacation as a strategy to mitigate summer learning loss. Fifty-one students in Grades 3-8 from the Every Child Valued (ECV) and Lawrence Community Center (LCC) summer programs in Lawrenceville, NJ, took short, online assessments throughout the summer,…

Test-based accountability as well as value-added asessments and much experimental and quasi-experimental research in education rely on achievement tests to measure student skills and knowledge. Yet, we know little regarding fundamental properties of these tests, an important example being the extent of measurement error and its implications for…

The vertical scales of large-scale achievement tests created by using item response theory (IRT) models are mostly based on cluster (or correlated) educational data in which students usually are clustered in certain groups or settings (classrooms or schools). While such application directly violated assumption of independent sample of person in…

Background: Working memory, the ability to store and process information, is strongly related to learning outcomes. Aims: The aim of the present study is to extend previous research on early learning and investigate the relationship between working memory, cognitive styles, and attainment in adolescents using both national curriculum tests and…

This report examines the differences in impact estimates and standard errors that arise when these are derived using state achievement tests only (as pre-tests and post-tests), study-administered tests only, or some combination of state- and study-administered tests. State tests may yield different evaluation results relative to a test that is…