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Sang-June Park; Youjae Yi – Journal of Educational and Behavioral Statistics, 2024
Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…
Descriptors: Interaction, Predictor Variables, Causal Models, Mathematical Models
Teresa M. Ober; Darin G. Johnson; Lei Liu; Devon Kinsey; Karyssa A. Courey – ETS Research Report Series, 2025
Effective communication skills are essential for success in both academic and professional contexts. This concept paper presents a novel framework designed to operationally define and support the development of assessments of communication skills with a specific emphasis on K-12 settings. Through discussions on important considerations for the…
Descriptors: Communication Skills, Elementary Secondary Education, Student Evaluation, Evaluation Methods
Edmonds, Bruce – International Journal of Social Research Methodology, 2023
This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better…
Descriptors: Models, Prediction, Evaluation Methods, Standards
Ran Bao; Jianyong Chen – Technology, Knowledge and Learning, 2025
Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…
Descriptors: Learning Analytics, Data Use, Evaluation Methods, Learning Processes
W. Jake Thompson; Amy K. Clark – Educational Measurement: Issues and Practice, 2024
In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…
Descriptors: Decision Making, Instructional Improvement, Evaluation Methods, Models
Pere J. Ferrando; Ana Hernández-Dorado; Urbano Lorenzo-Seva – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…
Descriptors: Correlation, Factor Analysis, Models, Goodness of Fit
Nolt, Kate L.; Leviton, Laura C. – American Journal of Evaluation, 2023
Evidence-based programs and grassroots programs are often adapted during implementation. Adaptations are often hidden, ignored, or punished. Although some adaptations stem from lack of organizational capacity, evaluators report other adaptations happen in good faith or are efforts to better fit the local context. Program implementers, facilitators…
Descriptors: Fidelity, Programming, Program Implementation, Program Evaluation
Davis, Jim – Strategies: A Journal for Physical and Sport Educators, 2023
When reevaluating the educational landscape and aiming to incorporate movement into the day, remember that all exercise is not created equal. We recommend creating a model to evaluate the level of student exercise within an organization. The four-level framework discussed in this column can be used to evaluate exercise and sedentariness within an…
Descriptors: Physical Activity Level, Exercise, Models, Evaluation Methods
Carpentras, Dino; Quayle, Michael – International Journal of Social Research Methodology, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…
Descriptors: Psychometrics, Error of Measurement, Models, Prediction
Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg – International Journal of Behavioral Development, 2023
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…
Descriptors: Individual Development, Factor Analysis, Statistical Analysis, Structural Equation Models
Dizon, Arnie G. – History of Education, 2023
CIPP, which stands for Context, Input, Process and Product, an evaluation model, is one of the most widely applied curriculum evaluation models in education. This document-based study sought to determine the historical development of CIPP as a curriculum evaluation model. Here, the reasons why the CIPP evaluation model was conceptualised are…
Descriptors: Educational History, Curriculum Evaluation, Models, Curriculum Development
Bundi, Pirmin; Pattyn, Valérie – American Journal of Evaluation, 2023
Evaluations are considered of key importance for a well-functioning democracy. Against this background, it is vital to assess whether and how evaluation models approach the role of citizens. This paper is the first in presenting a review of citizen involvement in the main evaluation models which are commonly distinguished in the field. We present…
Descriptors: Evaluation Methods, Models, Democracy, Citizen Participation
Ling Luo; Hong Ji; Shu-Ning Chen; Xin Chen – Education & Training, 2024
Purpose: The purpose of this study is to determine the competency characteristics required for the employment of master's degree students in educational technology. Design/methodology/approach: A combined qualitative and quantitative method was used to consult multiple experts through a modified Delphi method. Competency characteristics were…
Descriptors: Educational Technology, Competence, Employment Potential, Foreign Countries
Albert Ziegler; Heidrun Stoeger – High Ability Studies, 2024
A growing number of countries has a strong interest in assessing the quality of their talent-support systems. We propose combining two relevant conceptual frameworks -- hemerotopes and the learning and educational capital approach -- to better achieve this end. Hemerotopes provide qualitative categories for assessing the degree to which countries…
Descriptors: Talent Development, National Programs, Educational Quality, Educational Environment
Esch, Barbara E.; Lindblad, Tracie L.; Clark, Brittany; Ali, Zareen – Analysis of Verbal Behavior, 2023
An intraverbal assessment was administered to older adults with aphasia, using a hierarchy of questions that required increasingly complex verbal discriminative stimulus control. Five categories of errors were defined and analyzed for putative stimulus control, with the aim to identify requisite assessment components leading to more efficient and…
Descriptors: Aphasia, Brain, Injuries, Error Analysis (Language)

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