The growth of computer-based testing over the last two decades has motivated the creation of innovative item formats. It is often argued that technology-enhanced items (TEIs) provide better measurement of test-takers' knowledge, skills, and abilities by increasing the authenticity of tasks presented to test-takers (Sireci & Zenisky, 2006).…

Long-running surveys need a systematic way to reflect social change and to keep items relevant to respondents, especially when they ask about controversial subjects, or they threaten the items' validity. We propose a protocol for updating measures that preserves content and construct validity. First, substantive experts articulate the current and…

The increase in youth's self-identification as trans in the United States and Canada has created new urgency in schools to meet the needs of these students, yet education survey researchers have yet to find ways to assess their educational outcomes based on sex and gender. In this critical systematic review, I provide an overview of surveys from…

Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack of expertise can pose…

There is a lack of tests available for assessing sign language proficiency among L2 learners. We have therefore developed a sign repetition test, SignRepL2, with a specific focus on the phonological features of signs. This paper describes the two phases of developing this test. In the first phase, content was developed in the form of 50 items with…

Progress tests (PT) are a popular type of longitudinal assessment used for evaluating clinical knowledge retention and long-life learning in health professions education. Most PTs consist of multiple-choice questions (MCQs) whose development is costly and time-consuming. Automatic Item Generation (AIG) generates test items through algorithms,…

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…

Local item dependence (LID) refers to the situation where responses to items in a test or questionnaire are influenced by responses to other items in the test. This could be due to shared prompts, item content similarity, and deficiencies in item construction. LID due to a shared prompt is highly probable in cloze tests where items are nested…

ChatGPT has surged interest to cause people to look for its use in different tasks. However, before allowing it to replace humans, its capabilities should be investigated. As ChatGPT has potential for use in testing and assessment, this study aims to investigate the questions generated by ChatGPT by comparing them to those written by a course…

Purpose: This study aims at assessing item fairness in students' evaluation of teaching based on students' academic college using measurement invariance analysis (MI). Design/methodology/approach: The sample of this study consists of 17,270 undergraduate students from 12 different academic colleges. SET survey consists of 20 Likert-type items…

Objective: This study evaluated score reliability of the Professional Quality of Life Scale (ProQoL) when contextualizing "help" to a relevant derivative. Method: The researchers evaluated score reliability across three datasets among school-based professionals (n = 122), teachers (n = 216), and mental health professionals (n = 543)…

Screening for autism spectrum disorder (ASD) is an essential early step in the identification process and inaccurate screening may lead to significant delays in the onset of treatment. Past research has highlighted discrepancies in the performance of ASD screening tools such as the Social Communication Questionnaire (SCQ) among certain racial and…

The overall aim was to examine effects of differences in group ability and features of the anchor test form on equating bias and the standard error of equating (SEE) using both real and simulated data. Chained kernel equating, Postratification kernel equating, and Circle-arc equating were studied. A college admissions test with four different…

Large language models (LLMs), such as ChatGPT, are becoming increasingly prominent. Their use is becoming more and more popular to assist with simple tasks, such as summarizing documents, translating languages, rephrasing sentences, or answering questions. Reports like McKinsey's (Chui, & Yee, 2023) estimate that by implementing LLMs,…

Studies across countries part of the Organization for Economic Cooperation and Development (OECD) suggest that learners' sense of school belonging is often influenced by their place of birth. However, large-scale assessment studies rarely explore whether differences in belonging scores between non-immigrant and immigrant learners are due to test…