Measurement errors may significantly distort the properties of an estimator. In this paper, estimators of the finite population variance using the information on first and second raw moments of the study variable are developed under stratified random sampling that incorporate the variance of a measurement error component. Additionally, combined…

The rise of Generative AI (GenAI) tools, such as ChatGPT, is transforming translators' information-seeking behavior (ISB), traditionally centered on web search. This study compares student translators' ISB in web-based and GenAI-driven contexts using a literature-informed ISB analytical framework, developed from a systematic review of existing ISB…

This article is about making correction in Tarray, Singh, and Zaizai model and further improving it when stratified random sampling is necessary. This is done by using optional randomized response technique in stratified sampling using a combination of Mangat and Singh, Mangat, and Greenberg et al. models. The suggested model has been studied…

This paper describes the (Sin Exclusión) Transdisciplinary Autism Assessment and Resources ([S]TAAR) model and presents early metrics tracking efficiency and equity in access to high-quality comprehensive autism evaluations for young children. Retrospective chart reviews over one year (08/2018-08/2019) with n = 173 children were reviewed. Through…

Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…

The aim of the present study is to investigate how the concept of systematic quality work is perceived by school teachers. Eleven interviews were conducted and analysed according to the phenomenographical method, inspired by qualitative content analysis. Five qualitatively different descriptive categories were identified: (i) tools for…

In this article, we intend to illustrate the notion, practice, and evaluation methods and results related to building an effective, efficient, and equitable early care and education (ECE) system. We point out the dominant approach, in practice and evaluation, of focusing on a single ECE program to improve ECE, propose a model of developing an ECE…

The randomized response technique (RRT) is an effective method designed to obtain the stigmatized information from respondents while assuring the privacy. In this study, we propose a new two-stage RRT model to estimate the prevalence of sensitive attribute ([pi]). A simulation study shows that the empirical mean and variance of proposed estimator…

Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…

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…

The main issue that is discussed today in schools, in educational institutions, by researchers and education experts, is the quality in education. In addition to numerous discussions on issues of educational quality, in addition to defining quality standards and criteria and in addition to establishing criteria to measure quality, the role of the…

Background/Context: School transitions pose a variety of social-emotional and academic challenges to students, especially those who are more vulnerable due to home, health, or academic challenges (Eccles et al., 1997; Felmlee, 2018). With this awareness, a growing number of school districts have developed and implemented early warning indicator…

This multicase study explores how instructors at one higher education institution used an emerging technology, Gradescope, in their large classes to support the assessment of student learning. The study examined the practices of two instructors who taught large lecture classes with more than 100 students and used Gradescope to assist with the…

This article offers a case example of how experimental evaluation methods can be coupled with principles of design-based implementation research (DBIR), improvement science (IS), and rapid-cycle evaluation (RCE) methods to provide relatively quick, low-cost, credible assessments of strategies designed to improve programs, policies, or practices.…

The role of artificial intelligence (AI) in education plays a crucial role in teacher training digitalisation. Although AI has enormous potential, not much is known about how pre-service teachers perceive and utilise AI tools in professional practice. Hence, this study, guided by the Unified Theory of Acceptance and Use of Technology framework,…