Bayesian methods offer many advantages when applied to psychological research, yet they may seem esoteric to researchers who are accustomed to traditional methods. This paper aims to lower the barrier of entry for developmental psychologists who are interested in using Bayesian methods. We provide worked examples of how to analyze common study…

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…

This qualitative phenomenological study explores the experiences of parents of children with special needs in Turkey, specifically their encounters with Guidance and Research Centers (GRCs) during the process of obtaining educational assessment reports. Through semi-structured interviews with 25 parents, the study reveals complex emotions and…

This paper describes methods and findings from student cognitive labs, teacher cognitive labs, and test administration observations as evidence evaluated in a validity argument for a computer-based alternate assessment for students with significant cognitive disabilities. Validity of score interpretations and uses for alternate assessments based…

During the COVID pandemic, universities around the globe had to move not only their content delivery online, but also their assessments. Due to COVID causing significant upheaval in Higher Education (HE), this enforced experiment also afforded an opportunity to reflect on traditional, invigilated, closed book exams (ICBE) resulting in research and…

The German school system employs centrally organized performance assessments (some of which are called "VERA") as a way of promoting lesson development. In recent years, several German federal states introduced a computer-based performance testing system which will replace the paper-pencil testing system in the future. Scores from…

In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared. In the NEC design, gender and/or computer/tablet use was considered as a covariate, and Kernel test equating methods were…

While disruptions to typical education, special education, and psycho-educational service delivery practices in response to the COVID-19 pandemic have dissipated, their impact magnified educational systems' overreliance on evaluations to determine eligibility for special education and related services. Given that the potential for future…

Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…

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…

This commentary focuses on one of the positive impacts of COVID-19, which was to tie societal inequity to testing in a manner that could motivate the reimagining of our field. That reimagining needs to account for our nation's dramatically changing demographics so that assessment generally, and standardized testing specifically, better fit the…

Autism Spectrum Disorder (ASD) is a heterogeneous condition associated with differences in functional neural connectivity relative to neurotypical (NT) peers. Language-based functional connectivity represents an ideal context in which to characterize connectivity because language is heterogeneous and linked to core features in ASD, and NT language…

This study investigates unproctored assignment-based assessment implementation in an online teaching environment compared to on-site assessment. A mixed-method research approach was conducted with the participation of 284 English-major students, 6 teachers, and 4 experts at a university in Vietnam. Data collection instruments included a…

Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

The subjective aspect of standard-setting is often criticized, yet data-driven standard-setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional…