The Cross-Classified Mixed Effects Model (CCMEM) has been demonstrated to be a flexible framework for evaluating reliability by measurement specialists. Reliability can be estimated based on the variance components of the test scores. Built upon their accomplishment, this study extends the CCMEM to be used for evaluating validity evidence.…

In this ITEMS module, we introduce the generalized deterministic inputs, noisy "and" gate (G-DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G-DINA…

In early spring 2020 the vast majority of US colleges and schools closed for the year due to COVID-19 with no clear direction on when or how these institutions will reopen for in-person instruction. School closures and the associated health concerns haulted large scale admissions testing and required alternative models such as remote proctoring at…

Owing to the break-out of the COVID-19 pandemic, students have to take more online learning than offline, and large-scale education assessment programs have to be suspended or postponed. How could education assessment adapt to large-scale online learning? How could the effect and safety of online assessment be improved? What role should formative…

Contemporary views on learning highlight that deep learning occurs not simply by accumulating knowledge, but by using and applying knowledge as one engages in disciplinary activity. Increasingly, those concerned with education policy and practice are shifting priorities toward supporting deeper learning by emphasizing the importance of students'…

In this digital ITEMS module, Dr. Jue Wang and Dr. George Engelhard Jr. describe the Rasch measurement framework for the construction and evaluation of new measures and scales. From a theoretical perspective, they discuss the historical and philosophical perspectives on measurement with a focus on Rasch's concept of specific objectivity and…

Reliability consists of both important social and scientific values and methods for evidencing those values, though in practice methods are often conflated with the values. With the two distinctly understood, a reliability argument can be made that articulates the particular reliability values most relevant to the particular measurement situation…

Local assessment systems are being marketed as formative, benchmark, predictive, and a host of other terms. Many so-called formative assessments are not at all similar to the types of assessments and strategies studied by Black and Wiliam (1998) but instead are interim assessments. In this article, we clarify the definition and uses of interim…

In large-scale assessments, such as state-wide testing programs, national sample-based assessments, and international comparative studies, there are many steps involved in the measurement and reporting of student achievement. There are always sources of inaccuracies in each of the steps. It is of interest to identify the source and magnitude of…

Based on the results of a generalizability study of measures of teacher knowledge for teaching mathematics developed at the National Center for Research on Evaluation, Standards, and Student Testing at the University of California, Los Angeles, this article provides evidence that teachers are better at drawing reasonable inferences about student…

Assessments labeled as formative have been offered as a means to improve student achievement. But labels can be a powerful way to miscommunicate. For an assessment use to be appropriately labeled "formative," both empirical evidence and reasoned arguments must be offered to support the claim that improvements in student achievement can be linked…

Evidence-centered assessment design (ECD) provides language, concepts, and knowledge representations for designing and delivering educational assessments, all organized around the evidentiary argument an assessment is meant to embody. This article describes ECD in terms of layers for analyzing domains, laying out arguments, creating schemas for…

The purpose of this ITEMS module is to provide an introduction to Markov chain Monte Carlo (MCMC) estimation for item response models. A brief description of Bayesian inference is followed by an overview of the various facets of MCMC algorithms, including discussion of prior specification, sampling procedures, and methods for evaluating chain…

In many school districts, the pressure to raise test scores has created overnight celebrity status for formative assessment. Its powers to raise student achievement have been touted, however, without attending to the research on which these claims were based. Sociocultural learning theory provides theoretical grounding for understanding how…

A note from the Working Group of the Joint Committee on Testing Practices: The "Code of Fair Testing Practices in Education (Code)" prepared by the Joint Committee on Testing Practices (JCTP) has just been revised for the first time since its initial introduction in 1988. The revision of the Code was inspired primarily by the revision of…