Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

The challenge of accurately assessing critical thinking in physics education, particularly on topics like work and energy, remains a key issue for educators. The current study aims to address this challenge by exploring students' critical thinking abilities using two-tier test data analyzed through the Rasch model. Data were collected from…

Traditional Chinese medicine (TCM) is an important component of China's medical system. How to educate TCM practitioners in China, therefore, has become a crucial issue. To contribute to this issue, the current research identified the competency model of TCM practitioners in China and developed an evaluation for TCM students. We combined Bloom's…

Over the past 8 years, U.S. kindergarten classrooms have been impacted by policies mandating or recommending the administration of a specific kindergarten entry assessment (KEA) in the initial months of school as well as the increasing reliance on digital technology in the form of mobile apps, touchscreen devices, and online data platforms. Using…

Measurement of children's behaviors in an educational and research context is a problematic and complex area. It is also evident that adapting scales to measure children's behaviors in an educational and research context is a complex process due to several reasons. First, cultural elements constitute a considerable problem. Second, it is difficult…

Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…

The objective of this article is to present the development and evaluation of dETECT (Evaluating TEaching CompuTing), a model for the evaluation of the quality of instructional units for teaching computing in middle school based on the students' perception collected through a measurement instrument. The dETECT model was systematically developed…

Simulations are widely used. Simulations produce numbers that are deductive demonstrations of what a model says will happen.They produce numerical results that are consistent with the premises of the model used to generate the numbers. These simulated numerical results are not empirical data that address aspects of the world that lies outside the…

A key question facing teacher evaluation systems is how to combine multiple measures of complex constructs into composite indicators of performance. We use data from the Measures of Effective Teaching (MET) study to investigate the measurement properties of composite indicators obtained under various conjunctive, disjunctive (or complementary),…

This paper examines how different test methods may tap different aspects of second language knowledge. It employs multiple-choice (MC) and constructed response (CR) items which yield distinct or convergent information in the computer delivered testing of English in its presentation of this factor. In order to examine the effects of test method, a…

There is something incalculable about teacher expertise and whether it can be observed, detected, quantified, and as per current educational policies, used as an accountability tool to hold America's public school teachers accountable for that which they do (or do not do well). In this commentary, authors (all of whom are former public school…

Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…

Extreme response set, the tendency to prefer the lowest or highest response option when confronted with a Likert-type response scale, can lead to misfit of item response models such as the generalized partial credit model. Recently, a series of intrinsically multidimensional item response models have been hypothesized, wherein tendency toward…

A rubric that embodies the key features of the process-oriented, guided-inquiry learning (POGIL) model was subjected to systematic study of validity and reliability. Nearly 60 college instructors used the rubric to evaluate four intentionally modified versions of an established POGIL activity. The modifications strengthened or weakened key…

This study examined the effect of baseline estimation on the quality of trend estimates derived from Curriculum Based Measurement of Oral Reading (CBM-R) progress monitoring data. The authors used a linear mixed effects regression (LMER) model to simulate progress monitoring data for schedules ranging from 6-20 weeks for datasets with high and low…