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Abraham, Jessy; Ferfolja, Tania; Sickel, Aaron; Power, Anne; Curry, Christina; Fraser, Denise; Mackay, Karin – Australian Journal of Teacher Education, 2021
Raising the quality of initial teacher education can make an important contribution to raising the overall quality of the school system. In Australia, the National Framework for Professional Standards for Teaching is used as a common framework to set standards for the accreditation of teacher education programs. However, institution-wise…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Preservice Teachers
Daniels, Brian; Briesch, Amy M.; Volpe, Robert J.; Owens, Julie Sarno – Journal of Emotional and Behavioral Disorders, 2021
Direct Behavior Rating (DBR) is an efficient method for monitoring changes in student behavior in response to intervention. Emerging research on DBR Multi-Item Scales (DBR-MIS) indicates that DBR-MIS has promising characteristics as a progress-monitoring assessment. Specifically, the multiple items within DBR-MIS allow stakeholders to measure…
Descriptors: Content Validity, Student Behavior, Measures (Individuals), Behavior Problems
Hutchins, Tiffany L.; Lewis, Laura; Prelock, Patricia A.; Brien, Ashley – Journal of Autism and Developmental Disorders, 2021
This study describes the development and psychometric evaluation of a new self-report measure of social cognition: the Theory of Mind Inventory:Self-Report--Adult (ToMI:SR-Adult). Adults with autism (or a suspicion of autism; n = 111) and typically developing adults (n = 109) completed a demographic questionnaire and the ToMI:SR-Adult online. Both…
Descriptors: Theory of Mind, Social Cognition, Measures (Individuals), Test Construction
Faran, Muhammad; Hassan, Naima; Ejaz, Bisma; Khawar, Amna; Malik, Nudra; Komal, Afreen; Muazzam, Amina – Eurasian Journal of Educational Research, 2021
Purpose: The construct of well-being using Mental Health Continuum-Short Form (MHC-SF) (Corey L. M. Keyes et al., 2008) has been studied across various cultures, validated across several populations and languages. However, there are no published psychometric properties of its Urdu version. This study is an attempt to bridge this gap. The need was…
Descriptors: Urdu, Translation, Test Validity, Psychometrics
Uglanova, Irina – Practical Assessment, Research & Evaluation, 2021
There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the…
Descriptors: Bayesian Statistics, Educational Assessment, Psychometrics, Criticism
Boulden, Rawn – Professional School Counseling, 2021
This study aimed to adapt the "Teaching Students With Disabilities Self-Efficacy Scale" for contemporary school counseling practice. The adaptation, titled the "Students With Learning Disabilities School Counselor Self-Efficacy Scale," is a resource that assesses school counselors' belief in their ability to counsel and support…
Descriptors: School Counseling, Learning Disabilities, Self Efficacy, Counselor Attitudes
Stephanie M. Werner; Ying Chen; Mike Stieff – Journal of Chemical Education, 2021
The Chemistry Self-Concept Inventory (CSCI) is a widely used instrument within chemistry education research. Yet, agreement on its overall reliability and validity is lacking, and psychometric analyses of the instrument remain outstanding. This study examined the psychometric properties of the subscale and item function of the CSCI on 1140 high…
Descriptors: Self Concept Measures, Chemistry, Psychometrics, Item Response Theory
Kevin Whiteacre – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
High quality student outcome measures provide the foundation for effective learning assessment. These outcomes can be organized into different categories, such as skills or habits of mind, and evidence types, such as direct or indirect. Prevailing models of assessment, however, focus only on the distinction between direct and indirect evidence…
Descriptors: Behavioral Objectives, Educational Objectives, Outcome Measures, Student Evaluation
Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
Rosemary Erlam; Lan Wei – Language Teaching Research, 2024
This study is a conceptual replication of Ellis' 'Measuring implicit and explicit knowledge of a second language: A psychometric study', published in "Studies in Second Language Acquisition" (2005), aiming to establish the importance of including belief statements (hypothesized to increase processing demands) in the design of Elicited…
Descriptors: Language Processing, Language Tests, Second Language Learning, Psychometrics
Samer Khasawneh; Jamal Abu-Alruz; Ayman Oliemat; Salah Hailat; Omar Bataineh – Research in Post-Compulsory Education, 2024
The objective of this study was to create a psychometrically valid and reliable toxic leadership scale (TLS) for use in higher education workplace environments. The TLS was administered to a sample of 482 faculty members employed by three public universities in Jordan. Another aim of the study was to determine the level of toxic leadership based…
Descriptors: Leadership Styles, Antisocial Behavior, Higher Education, Foreign Countries
Ali Alqarni – Journal of Computer Assisted Learning, 2025
Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
Karyl Mae Codiñera Amar; Jhelai Grace Aton; Ma. Khasila Bulan; Chona Mae Crisostomo; Alyssa Danica Estrera; Jecylle Jean Linao; Julia Mitz Mariñas; Zyann Quilicot; Elieza Jane Senillo; Mabet Vergara; Angelito Cabanilla Jr. – International Journal of Education in Mathematics, Science and Technology, 2025
A multiple regression analysis was conducted to investigate what variables may predict the student's self-perceived proficiency in mathematics. Hence, this quantitative cross-sectional survey design aimed to explore the factors predicting the student's self-perceived proficiency in mathematics using gamified instruction. Two hundred twenty-five…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Self Concept
Clark McKown; Nicole Russo-Ponsaran; Matthew Wronski; Ashley Karls – Grantee Submission, 2025
This study describes the rationale, design, development, and technical properties of SELweb MS, a direct assessment of social and emotional competencies in middle school students. Assessment and item design were iteratively developed with input from youth and experts to measure five domains: Self-Awareness, Self-Management, Social Awareness,…
Descriptors: Psychometrics, Social Emotional Learning, Middle School Students, Correlation

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