A critical component of modern software development practices, particularly continuous integration (CI), is the halt of development activities in response to test failures which requires further investigation and debugging. As software changes, regression testing becomes vital to verify that new code does not affect existing functionality.…

Since 2018, colleagues from two research centers at Dublin City University have been collaborating to develop a measurement scale to assess individuals' ability to identify workplace bullying. Having agreed on an operational definition of the construct, an item pool of 26 workplace bullying scenarios, that is, short descriptions of…

This study examined the problems that pre-service teachers face in the online assessment process and their suggestions for solutions to these problems. The participants were 136 pre-service teachers who have been experiencing online assessment for a long time and who took the Foundations of Open and Distance Learning course. This research is a…

Rating scale analysis techniques provide researchers with practical tools for examining the degree to which ordinal rating scales (e.g., Likert-type scales or performance assessment rating scales) function in psychometrically useful ways. When rating scales function as expected, researchers can interpret ratings in the intended direction (i.e.,…

Many students of statistics and econometrics express frustration with the way a problem known as "bad control" is treated in the traditional literature. The issue arises when the addition of a variable to a regression equation produces an unintended discrepancy between the regression coefficient and the effect that the coefficient is…

The goal of this study is to show a novel way of using large-scale data (N = 6203) to identify pupils' strategies when solving missing value number equations. It is based on the assumption that wrong numerical results appearing more frequently than would be the case if they were consequences of random guessing can be expected to be underlain by a…

This module is designed for educators, educational researchers, and psychometricians who would like to develop an understanding of the basic concepts of validity theory, test validation, and documenting a "validity argument." It also describes how an in-depth understanding of the purposes and uses of educational tests sets the foundation…

Despite a large amount of critical research literature, traditional examinations continue to be widely used in higher education. This article reviews recent literature in order to assess the role played by the approaches adopted by researchers in the gap between research on exams, and the way exams are used. Viviane Robinson's 'problem-based…

In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…

This research paper investigated the importance of conducting measurement invariance analysis in developing measurement tools for assessing differences between and among study variables. Most of the studies, which tended to develop an inventory to assess the existence of an attitude, behavior, belief, IQ, or an intuition in a person's…

This dissertation was designed to foster a deeper understanding of population invariance in the context of composite-score equating and provide practitioners with guidelines for addressing score equity concerns at the composite score level. The purpose of this dissertation was threefold. The first was to compare different composite equating…

In this study a standardized effect size was created for use with the SIBTEST procedure. Using this standardized effect size, a single set of heuristics was developed that are appropriate for data fitting different item response models (e.g., 2-parameter logistic, 3-parameter logistic). The standardized effect size rescales the raw beta-uni value…

Longitudinal studies can produce biased estimates of learning if children miss tests. In an application to summer learning, we illustrate how missing test scores can create an illusion of large summer learning gaps when true gaps are close to zero. We demonstrate two methods that reduce bias by exploiting the correlations between missing and…

In this invited Viewpoint on the occasion of the 40th anniversary of the journal "Language Testing," I argue that at the core of future challenges and opportunities for the field--both in scholarly and operational respects--remain basic questions and principles in language testing and assessment. Despite the high levels of sophistication…

Ensuring consistent and reliable scoring is paramount in education, especially in performance-based assessments. This study delves into the critical issue of marking consistency, focusing on speaking proficiency tests in English language learning, which often face greater reliability challenges. While existing literature has explored various…