Online calibration is a key technology for item calibration in computerized adaptive testing (CAT) and has been widely used in various forms of CAT, including unidimensional CAT, multidimensional CAT (MCAT), CAT with polytomously scored items, and cognitive diagnostic CAT. However, as multidimensional and polytomous assessment data become more…

The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an…

Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…

This paper provides a meta-analytic update on the relationship between intelligence and divergent thinking (DT), as research on this topic has increased, and methods have diversified since Kim's meta-analysis in 2005. A three-level meta-analysis was used to analyze 849 correlation coefficients from 112 studies with an overall N = 34,610. The…

Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…

In low-stakes assessments, some students may not reach the end of the test and leave some items unanswered due to various reasons (e.g., lack of test-taking motivation, poor time management, and test speededness). Not-reached items are often treated as incorrect or not-administered in the scoring process. However, when the proportion of…

This study compared holistic and analytic marking methods for their effects on parameter estimation (of examinees, raters, and items) and rater cognition in assessing speech act production in L2 Chinese. Seventy American learners of Chinese completed an oral Discourse Completion Test assessing requests and refusals. Four first-language (L1)…

Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…

Situational Judgement Questions (SJQs) measuring process quality were included in the OECD Starting Strong Teaching and Learning International Survey 2018 (TALIS Starting Strong 2018) to address concerns of self-report bias in large-scale international surveys. These SJQs provide the staff in early childhood education and care with situations…

The Scientific Teaching (ST) pedagogical framework provides various approaches for science instructors to teach in a way that more closely emulates how science is practiced by actively and inclusively engaging students in their own learning and by making instructional decisions based on student performance data. Fully understanding the impact of…

Partnership for Assessment of Readiness for College and Careers (PARCC) Operational Study 4 Component 3 was designed to compare performance on PARCC mathematics field-test items for grade 3 taken with and without a drawing tool. For the 2016 testing window, five field-test items were selected to have the directions edited to allow students to…

Proficiency with written communication (WC) is critical for success in college and careers. As a result, institutions face a growing challenge to accurately evaluate their students' writing skills to obtain data that can support demands of accreditation, accountability, or curricular improvement. Many current standardized measures, however, lack…

In contrast to randomized experiments, the estimation of unbiased treatment effects from observational data requires an analysis that conditions on all confounding covariates. Conditioning on covariates can be done via standard parametric regression techniques or nonparametric matching like propensity score (PS) matching. The regression or…

The major purpose of this study is to assess the conditions under which single scoring for constructed-response (CR) items is as effective as double scoring in the licensure testing context. We used both empirical datasets of five mixed-format licensure tests collected in actual operational settings and simulated datasets that allowed for the…

The computer-adaptive multistage testing (ca-MST) has been developed as an alternative to computerized adaptive testing (CAT), and been increasingly adopted in large-scale assessments. Current research and practice only focus on ca-MST panels for credentialing purposes. The ca-MST test mode, therefore, is designed to gauge a single scale. The…