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…

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…

The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…

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…

Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…

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…

In the current higher education landscape, universities are facing expanding requirements beyond teaching and research. Evaluation methods must evolve accordingly to prevent universities from facing development dilemmas. Current mainstream evaluation methods primarily emphasize the research domain, often failing to holistically capture a…

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…

Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…

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…

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 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…

Balanced assessment systems provide feedback and support decision-making to improve instruction and learning. "Supporting Continuous Improvement Efforts Through Balanced Assessment Systems: Components, Integration, and High-Leverage Actions" outlines key features and components, integration of various assessment approaches, and guiding…