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Susan K. Johnsen – Gifted Child Today, 2025
The author provides information about reliability and areas that educators should examine in determining if an assessment is consistent and trustworthy for use, and how it should be interpreted in making decisions about students. Reliability areas that are discussed in the column include internal consistency, test-retest or stability, inter-scorer…
Descriptors: Test Reliability, Academically Gifted, Student Evaluation, Error of Measurement
Renáta Kiss; Beno Csapó – International Journal of Early Childhood, 2025
Previous research has shown that phonological awareness is one of the most important prerequisites for early reading. Monitoring its development requires reliable, easy-to-use instruments especially in the last years of kindergarten. The present study aims to explore the potential for assessing phonological awareness and some of its subskills…
Descriptors: Phonological Awareness, Kindergarten, Reading Skills, Student Evaluation
Scott J. Peters; Matthew C. Makel; Lindsay Ellis Lee; Tamra Stambaugh; Matthew T. McBee; D. Betsy McCoach; Kiana R. Johnson – Gifted Child Today, 2024
Universal screening is one of the most-common topics and well-accepted best practices within the field of gifted and talented education. There appears to be little disagreement that universally screening all students as part of a gifted and talented identification process results in fewer missed students. But surprisingly, there is little guidance…
Descriptors: Academically Gifted, Talent Identification, Screening Tests, Test Validity
Akif Avcu – International Journal of Psychology and Educational Studies, 2025
This review explores the significant contributions of Rasch modeling in enhancing classroom assessment practices, particularly in measuring student attitudes. Classroom assessment has evolved from standardized testing to integrative practices that emphasize both academic and affective dimensions of student development. Accurate attitude…
Descriptors: Item Response Theory, Student Attitudes, Student Evaluation, Attitude Measures
Filiz Arzu Yalin; Ahmet Özbay; Safak Oguz – European Journal of Education, 2025
This study developed and validated a Decision-Making Skill Test (DMST) for Turkish adolescents to address the lack of culturally appropriate assessment tools for multi-criteria decision-making skills. A cross-sectional design was employed with 427 participants aged 11-17 years from diverse socioeconomic backgrounds across Turkey. Following…
Descriptors: Test Construction, Test Validity, Student Evaluation, Decision Making
Chunhua Liu; Panwang Yang – European Journal of Education, 2024
Student satisfaction in online live classes is considered an important criterion to evaluate the effectiveness of this instructional system. This study aims to develop a performance evaluation index to measure the satisfaction of students who have mastered Chinese language and literature through online live classes. Guided by survey techniques and…
Descriptors: Student Satisfaction, Online Courses, Performance Based Assessment, Chinese
Erlis Çela; Alban Tufa; Melsena Danglli – Journal of Media Literacy Education, 2025
Media and Information Literacy (MIL) is a topic discussed by many authors in recent years. Several authors have developed measurement scales and validated them mainly among students and teachers who have media and information literacy knowledge. Although no evidence is tracked for any research conducted, MIL has been an unexplored field in the…
Descriptors: College Students, Media Literacy, Information Literacy, Student Evaluation
Wallace N. Pinto Jr.; Jinnie Shin – Journal of Educational Measurement, 2025
In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…
Descriptors: Automation, Grading, Computer Assisted Testing, Scoring
Srijita Chakraburty; Krista D. Glazewski; Cindy E. Hmelo-Silver; Dubravka Svetina Valdivia; Anne Ottenbreit-Leftwich; Bradford Mott; James Lester – Information and Learning Sciences, 2025
Purpose: This paper aims to introduce a novel AI learning progression for upper-elementary students and aligns assessment items across levels of each construct to gather evidence of understanding. It also validates this quantitative measure by examining these items as two subscales for psychometric properties using the Rasch model.…
Descriptors: Elementary School Students, Knowledge Level, Artificial Intelligence, Student Evaluation
Marcos Jiménez; María Zapata-Cáceres; Marcos Román-González; Gregorio Robles; Jesús Moreno-León; Estefanía Martín-Barroso – Journal of Science Education and Technology, 2024
Computational thinking (CT) is a multidimensional term that encompasses a wide variety of problem-solving skills related to the field of computer science. Unfortunately, standardized, valid, and reliable methods to assess CT skills in preschool children are lacking, compromising the reliability of the results reported in CT interventions. To…
Descriptors: Computation, Thinking Skills, Student Evaluation, Preschool Children
Susan K. Johnsen – Gifted Child Today, 2024
The author provides a checklist for educators who are selecting technically adequate tests for identifying and referring students for gifted education services and programs. The checklist includes questions related to how the test was normed, reliability and validity studies as well as questions related to types of scores, administration, and…
Descriptors: Test Selection, Academically Gifted, Gifted Education, Test Validity
Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2024
The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…
Descriptors: Artificial Intelligence, Measures (Individuals), Test Reliability, Test Validity
Emily L. Coderre – College Teaching, 2024
Psychometrics is the field of designing tests and assessments to measure certain psychological concepts. It is chiefly concerned with two fundamental properties: reliability and validity. These properties are often influenced by confounding variables: other things that can influence performance but are not what you are trying to measure. Here, I…
Descriptors: Teaching Methods, Psychometrics, Test Construction, Test Reliability
Harald A. Mieg; Katrin E. Klieme; Emma Barker; Jane Bryan; Caroline Gibson; Susanne Haberstroh; Femi Odebiyi; Frano P. Rismondo; Brigitte Römmer-Nossek; Janina Thiem; Erika Unterpertinger – Education and Information Technologies, 2024
This article presents a ten-item short scale for measuring digital competence. The scale is based on the Digital Competence Framework for Citizens, DigComp2.1 (Carretero et al., 2017). For our surveys, we used five items from the DigCompSat study (Clifford et al., 2020) and created five new ones to address the competence areas defined by…
Descriptors: Digital Literacy, Competence, Student Evaluation, Undergraduate Students
Kylie Gorney; Sandip Sinharay – Journal of Educational Measurement, 2025
Although there exists an extensive amount of research on subscores and their properties, limited research has been conducted on categorical subscores and their interpretations. In this paper, we focus on the claim of Feinberg and von Davier that categorical subscores are useful for remediation and instructional purposes. We investigate this claim…
Descriptors: Tests, Scores, Test Interpretation, Alternative Assessment

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