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Gerhard Tutz; Pascal Jordan – Journal of Educational and Behavioral Statistics, 2024
A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory (CTT) models, which traditionally distinguish between true scores and error scores, the responses are clearly linked to latent traits. It is shown that CTT models can be derived as special cases, but the model class is…
Descriptors: Item Response Theory, Responses, Scores, Models
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Jhunisa Ann A. Merueña – Online Submission, 2023
In response to the evolving landscape of language education, the "Dynamic Language Learning Framework" is conceived as a progressive pedagogical approach informed by key principles from notable works in the field. Inspired by the communicative language teaching philosophy proposed by Hymes (1971) and expanded upon by Canale and Swain…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Models
Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
Randall, Jennifer – Educational Assessment, 2023
In a justice-oriented antiracist assessment process, attention to the disruption of white supremacy must occur at every stage--from construct articulation to score reporting. An important step in the assessment development process is the item review stage often referred to as Bias/Fairness and Sensitivity Review. I argue that typical approaches to…
Descriptors: Social Justice, Racism, Test Bias, Test Items
Selhorst-Koekkoek, Mirjam; Rusman, Ellen – International Journal of Mobile and Blended Learning, 2023
The development of multidisciplinary education requires people to communicate, learn, and design beyond the boundaries of their own domains. In this research, an education design framework is developed to facilitate and support university teachers in multidisciplinary educational design. In addition, it serves as an aid to potentially transform…
Descriptors: Intellectual Disciplines, Interdisciplinary Approach, Problem Solving, Instructional Design
Stella Vosniadou; Erin Bodner; Helen Stephenson; David Jeffries; Michael J. Lawson; IGusti Ngurah Darmawan; Sean Kang; Lorraine Graham; Charlotte Dignath – Metacognition and Learning, 2024
The paper describes a theoretical framework for the study of teachers' promotion of self-regulated learning in the classroom. The Self-Regulated Learning Teacher Promotion Framework (SRL-TPF) utilizes the ICAP theory to assess the affordances of the learning environment for the indirect promotion of SRL, proposes new variables in the investigation…
Descriptors: Metacognition, Learning Strategies, Teaching Methods, Guidelines
Choe, Edison M.; Han, Kyung T. – Journal of Educational Measurement, 2022
In operational testing, item response theory (IRT) models for dichotomous responses are popular for measuring a single latent construct [theta], such as cognitive ability in a content domain. Estimates of [theta], also called IRT scores or [theta hat], can be computed using estimators based on the likelihood function, such as maximum likelihood…
Descriptors: Scores, Item Response Theory, Test Items, Test Format
Nianbo Dong; Benjamin Kelcey; Jessaca Spybrook; Yanli Xie; Dung Pham; Peilin Qiu; Ning Sui – Grantee Submission, 2024
Multisite trials that randomize individuals (e.g., students) within sites (e.g., schools) or clusters (e.g., teachers/classrooms) within sites (e.g., schools) are commonly used for program evaluation because they provide opportunities to learn about treatment effects as well as their heterogeneity across sites and subgroups (defined by moderating…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Educational Research, Effect Size
Saari, Antti; Mullen, John – Educational Philosophy and Theory, 2022
There are currently two broad forms of critique undergirding environmental education theories: the first is one of subtraction from perceived reality as it seeks to reveal and remove illusions and ideologies, while the other takes the inverse form of adding to reality in the form of investigating how matter comes to matter. We suggest a third form…
Descriptors: Environmental Education, Educational Philosophy, Epistemology, Ecology
Weese, James D.; Turner, Ronna C.; Liang, Xinya; Ames, Allison; Crawford, Brandon – Educational and Psychological Measurement, 2023
A study was conducted to implement the use of a standardized effect size and corresponding classification guidelines for polytomous data with the POLYSIBTEST procedure and compare those guidelines with prior recommendations. Two simulation studies were included. The first identifies new unstandardized test heuristics for classifying moderate and…
Descriptors: Effect Size, Classification, Guidelines, Statistical Analysis
Han, Suhwa; Kang, Hyeon-Ah – Journal of Educational Measurement, 2023
The study presents multivariate sequential monitoring procedures for examining test-taking behaviors online. The procedures monitor examinee's responses and response times and signal aberrancy as soon as significant change is identifieddetected in the test-taking behavior. The study in particular proposes three schemes to track different…
Descriptors: Test Wiseness, Student Behavior, Item Response Theory, Computer Assisted Testing
Matthew John Davidson – ProQuest LLC, 2022
Digitally-based assessments create opportunities for collecting moment to moment information about how students are responding to assessment items. This information, called log or process data, has long been regarded as a vast and valuable source of data about student performance. Despite repeated assurances of its vastness and value, process data…
Descriptors: Data Use, Psychometrics, Item Response Theory, Test Items
David Osworth; Kathleen Cunningham – Planning and Changing, 2021
The Every Student Succeeds Act (ESSA) provides guidance and expectations to state education agencies. We examined the intersection of improvement science and ESSA through a qualitative analysis of the state guidance documents. Utilizing six principles of improvement as a conceptual framework, we identified three themes: improvement as an outcome;…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Educational Improvement