Measuring a teacher's effectiveness in quantifiable ways is a logical step in a society driven by the SMART goals (specific, measurable, attainable, relevant, and timely objectives) that pervade modern management. The idea of using student performance on standardized tests to judge a teacher's effectiveness picked up steam after the Obama…

This problem-based learning project addressed the need to improve the construction and implementation of value-added teacher evaluation policies and instruments. State officials are constructing value-added teacher evaluation models due to accountability initiatives, while ignoring the holes and problems in its implementation. The team's…

This problem-based learning project addressed the need to improve the construction and implementation of value-added teacher evaluation policies and instruments. State officials are constructing value-added teacher evaluation models due to accountability initiatives, while ignoring the holes and problems in its implementation. The team's…

This problem-based learning project addressed the need to improve the construction and implementation of value-added teacher evaluation policies and instruments. State officials are constructing value-added teacher evaluation models due to accountability initiatives, while ignoring the holes and problems in its implementation. The team's…

Value-added methods refer to efforts to estimate the relative contributions of specific teachers, schools, or programs to student test performance. In recent years, these methods have attracted considerable attention because of their potential applicability for educational accountability, teacher pay-for-performance systems, school and teacher…

This article demonstrates the use of a new class of model-free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model-free person-fit statistics…

This research investigates the effect of a web-based model, named "Practicing, Reflecting, and Revising with Web-based Assessment and Test Analysis system (P2R-WATA) Assessment Literacy Development Model," on enhancing assessment knowledge and perspectives of secondary in-service teachers, and adopts a single group experimental research…

In "Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art," Rupp and Templin (2008) undertake the ambitious task of providing a thorough portrait of the current state of diagnostic classification models (DCM). In this commentary, the author applauds Rupp and Templin for their…

Mathematical word problems represent a common item format for assessing student competencies. Automatic item generation (AIG) is an effective way of constructing many items with predictable difficulties, based on a set of predefined task parameters. The current study presents a framework for the automatic generation of probability word problems…

Several current international comparative large-scale assessments of educational achievement (ICLSA) make use of "Rasch models", to address functions essential for valid cross-cultural comparisons. From a historical perspective, ICLSA and Georg Rasch's "models for measurement" emerged at about the same time, half a century ago. However, the…

In this commentary, the author addresses what is referred to as the deterministic input, noisy "and" gate (DINA) model. The author mentions concerns with how this model has been formulated and presented. In particular, the author points out that there is a lack of recognition of the confounding of profiles that generally arises and then discusses…

Rupp and Templin (2008) do a good job at describing the ever expanding landscape of Diagnostic Classification Models (DCM). In many ways, their review article clearly points to some of the questions that need to be answered before DCMs can become part of the psychometric practitioners toolkit. Apart from the issues mentioned in this article that…

In this commentary, the authors discuss some of the issues regarding the use of diagnostic classification models that practitioners should keep in mind. In the authors experience, these issues are not as well known as they should be. The authors then provide recommendations on diagnostic scoring.

On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…

Background: In this article we address some of the challenges posed by the development of national assessment systems and discuss the need for high quality information on trends in attainment; support for school improvement processes and ways in which learning should be enhanced through valid assessment. Purpose: Key elements are explored,…