Multiple measures, such as multiple content domains or multiple types of performance, are used in various testing programs to classify examinees for screening or selection. Despite the popular usages of multiple measures, there is little research on classification consistency and accuracy of multiple measures. Accordingly, this study introduces an…

Teacher stress, burnout, and attrition are well-documented problems that have been amplified as a result of the COVID-19 pandemic. Recent efforts to study and improve teacher well-being in response to such high levels of burnout are promising. However, the field continues to lack a unified definition of teacher well-being and consistent use of…

The purpose of this study was to develop and measure the usability of the software prototype of formative assessment in the LMS. This study was applied in terms of research objective and mixed method (qualitative-quantitative) in terms of data collection in which an exploratory sequential mixed methods design was used. In addition, in order to…

The objectives of the study were to (1) analyze the components and indicators for enhancing classroom research competencies of student teachers, (2) study the needs of developing classroom research competencies of the student teachers, (3) to create a model for enhancing research competencies in the classroom, (4) apply the form of a model for…

Given the proportion of young children experiencing disadvantages in achieving optimal health due to inequities related to race, place, and income, there is increasing attention to developing effective early childhood (EC) systems. As EC leaders embrace methods such as collective impact in driving systems change, there is a growing recognition…

Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…

This article, located in the discipline of academic literacy studies, draws upon the fields of critical realism, design research, and evaluation studies. It reports on the validation of a flexible evaluation design for assessing the impact of academic literacy interventions. The design was validated in two ways. Firstly, through a process of…

Anxiety is now recognized as one of the most common co-occurring conditions in youth diagnosed with autism spectrum disorder (ASD). Despite the prevalence of this comorbid condition, accurate assessment and diagnosis of anxiety in ASD has proven difficult. This paper will address the considerable research literature on assessing anxiety in youth…

An overview of reviews aims to collect, assess, and synthesize evidence from multiple systematic reviews (SRs) on a specific topic using rigorous and reproducible methods. An important methodological challenge in conducting an overview of reviews is the management of overlapping data due to the inclusion of the same primary studies in SRs. We…

MOOCs popularly support the diverse learning needs of participants across the globe. However, literature suggests well-known scepticism regarding MOOC pedagogy which questions the effectiveness of the educational experience offered by it. One way to ensure the quality of MOOCs is through systematic evaluation of its pedagogy with the goal to…

Purpose: This paper examines the innovative potential of micro-credentials which, arguably, is compromised if not for a particular attribute of the digital format: evidence. Evidence allows for an artifact of learning (e.g. project, writing sample) to be included in a digital micro-credential. Micro-credentials that include evidence can support…

In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different…

Principals play a key leadership role in school effectiveness and student success; however, one area that has received relatively little attention so far is principals' embedded understanding of assessment and grading within the educational context where they work. We examined 141 Chinese school principals' conceptions of assessment and grading…

Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…

Assessment of student learning is a necessary and important practice for which many institutions report faculty engagement and use of assessment data as challenges. With a number of individual and institutional barriers at play, motivation can be a relevant influence for which to examine engagement in assessment work and data-informed action for…