Assessing students' writing performance is essential to adequately monitor and promote individual writing development, but it is also a challenge. The present research investigates a benchmark rating procedure for assessing texts written by upper-elementary students. In two studies we examined whether a benchmark rating procedure (1) leads to…

Purpose: To evaluate the validity, reliability, and sensitivity of the novel Means-End Problem-Solving Assessment Tool (MEPSAT). Methods: Children with typical development and those with motor delay were assessed throughout the first 2 years of life using the MEPSAT. MEPSAT scores were validated against the cognitive and motor subscales of the…

For assessments that use different forms in different administrations, equating methods are applied to ensure comparability of scores over time. Ideally, a score scale is well maintained throughout the life of a testing program. In reality, instability of a score scale can result from a variety of causes, some are expected while others may be…

How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…

The present study explores two rating methods for peer assessment (analytical rating using criteria and comparative judgement) in light of concurrent validity, reliability and insufficient diagnosticity (i.e. the degree to which substandard work is recognised by the peer raters). During a second-year undergraduate course, students wrote a one-page…

Teacher preparation programs are increasingly expected to use data on pre-service teacher (PST) skills to drive program improvement and provide targeted supports. Observational ratings are especially vital, but also prone to measurement issues. Scores may be influenced by factors unrelated to PSTs' instructional skills, including rater standards…

Decision consistency (DC) is the reliability of a classification decision based on a test score. In professional credentialing, the decision is often a high-stakes pass/fail decision. The current methods for estimating DC are computationally complex. The purpose of this research is to provide a computationally and conceptually simple method for…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

Student Evaluations of Teaching (SETs) gather crucial feedback on student experiences of teaching and learning and have been used for decades to evaluate the quality of teaching and student experience of instruction. In this paper, we make the case for an important improvement to the analysis of SET data that can further refine its interpretation.…

This study was carried out to develop a test to assess algorithmic thinking skills. To this end, the twelve steps suggested by Downing (2006) were adopted. Throughout the test development, 24 middle school sixth-grade students and eight experts in different areas took part as needed in the tasks on the project. The test was given to 252 students…

The main objective of this Methods Showcase Article is to show how the technique of adaptive comparative judgment, coupled with a crowdsourcing approach, can offer practical solutions to reliability issues as well as to address the time and cost difficulties associated with a text-based approach to proficiency assessment in L2 research. We…

Many large-scale performance assessments include score resolution procedures for resolving discrepancies in rater judgments. The goal of score resolution is conceptually similar to person fit analyses: To identify students for whom observed scores may not accurately reflect their achievement. Previously, researchers have observed that…

Writing assessment is a key feature of most education systems, yet there are limitations with traditional methods of assessing writing involving rubrics. In contrast, comparative judgement appears to overcome the reliability issues that beset the assessment of performance assessment tasks. The approach presented here extends previous work on…

Precision is a key facet of test development, with score reliability determined primarily according to the types of error one wants to approximate and demonstrate. This article identifies and discusses several primary forms of reliability estimation: internal consistency (i.e., split-half, KR-20, a), test-retest, alternate forms, interscorer, and…

The purpose of this article was two-fold (1) provide an overview of the commonly reported and under-reported absolute agreement indices in the kinesiology literature for continuous data; and (2) present examples of these indices for hypothetical data along with recommendations for future use. It is recommended that three types of information be…