Educational Measurement: Issues and Practice 

About: Educational Measurement: Issues and Practice is an academic journal published by Wiley-Blackwell. The journal publishes majorly in the area(s): Educational assessment & Test (assessment). It has an ISSN identifier of 0731-1745. Over the lifetime, 1002 publications have been published receiving 31904 citations. The journal is also known as: EMIP & EM:IP.

Introduction to Structural Equation Modeling: Issues and Practical Considerations

Abstract: Structural equation modeling (SEM) is a versatile statistical modeling tool. Its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly. This module introduces some common terminologies. General steps of SEM are discussed along with important considerations in each step. Simple examples are provided to illustrate some of the ideas for beginners. In addition, several popular specialized SEM software programs are briefly discussed with regard to their features and availability. The intent of this module is to focus on foundational issues to inform readers of the potentials as well as the limitations of SEM. Interested readers are encouraged to consult additional references for advanced model types and more application examples.

Standards of validity and the validity of standards in performance assessment

Abstract: What are six distinct aspects of construct validation? How do these aspects apply to performance assessment? Are the consequences of performance assessment on teaching and learning relevant to construct validation?

Implications of Evidence‐Centered Design for Educational Testing

Abstract: 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 operational elements such as tasks and measurement models, implementing the assessment, and carrying out the operational processes. We argue that this framework helps designers take advantage of developments from measurement, technology, cognitive psychology, and learning in the domains. Examples of ECD tools and applications are drawn from the Principled Assessment Design for Inquiry (PADI) project. Attention is given to implications for large-scale tests such as state accountability measures, with a special eye for computer-based simulation tasks.

Using Statistical Procedures to Identify Differentially Functioning Test Items

Abstract: This module is intended to prepare the reader to use statistical proce­ dures to detect differentially functioning test items. 7b provide back­ ground, differential item functioning (DIF) is distinguished from item and test bias, and the importance of DIF screening within the overall test development process is discussed. The Mantel-Haenszel statistic, logistic regression, SIBTES'r, the Standardization procedure, and various IRT-based approaches are presented. For each of these proce­ dures, the theoretical framework is presented, the relative strengths and weaknesses of the method are highlighted, and guidance is pro­ vided for interpretation of the resulting statistical indices. Numerous technical decisions are required in order for the practitioner to appro­ priately implement these procedures. These decisions are discussed in some detail, as are the policy decisions necessary to implement an op­ erational DIF detection program. The module also includes an anno­ tated bibliography and a self-test.