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Pace, David – Teaching & Learning Inquiry, 2021
Decoding the Disciplines has emerged as one of the foremost approaches to the scholarship of teaching and learning (SoTL) and is being used to increase learning across the globe. But it is often not recognized that the paradigm has undergone enormous changes since its appearance in 2004. The original model has been clarified and perfected, but…
Descriptors: Scholarship, Instruction, Learning, Models
Braun, Henry – International Journal of Educational Methodology, 2021
This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can…
Descriptors: Data Use, Social Sciences, Data Analysis, Data Interpretation
Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2021
Network meta-analysis (NMA) compares the efficacy and harm between several treatments by combining direct and indirect evidence. The validity of NMA requires that all available evidence form a coherent network. Failure to meet such requirement is known as inconsistency. The most popular approach to inconsistency detection is to compare the direct…
Descriptors: Networks, Meta Analysis, Evidence, Evaluation Methods
Forthmann, Boris; Szardenings, Carsten; Dumas, Denis – Journal of Creative Behavior, 2021
The equal odds baseline is a parsimonious model that describes the relationship between quantity and quality of output in scientific creativity. Specifically, it is posited that quality is a linear function of quantity, and therefore, strong positive correlations between these two variables are expected. Strong positive correlations also play a…
Descriptors: Creative Thinking, Structural Equation Models, Scientific Research, Correlation
Paek, Insu; Liang, Xinya; Lin, Zhongtian – Measurement: Interdisciplinary Research and Perspectives, 2021
The property of item parameter invariance in item response theory (IRT) plays a pivotal role in the applications of IRT such as test equating. The scope of parameter invariance when using estimates from finite biased samples in the applications of IRT does not appear to be clearly documented in the IRT literature. This article provides information…
Descriptors: Item Response Theory, Computation, Test Items, Bias
Kara, Bennie – SAGE Publications Ltd (UK), 2021
"A Little Guide for Teachers: Diversity in Schools" aims to provide starting points for teachers and leaders in creating a curriculum, either across disciplines or within subjects, that is as deep and diverse as their students. "The Little Guide for Teachers" series is little in size but BIG on all the support and inspiration…
Descriptors: Diversity (Institutional), Curriculum Development, Language Usage, Models
Andrew Gelman; Matthijs Vákár – Grantee Submission, 2021
It is not always clear how to adjust for control data in causal inference, balancing the goals of reducing bias and variance. We show how, in a setting with repeated experiments, Bayesian hierarchical modeling yields an adaptive procedure that uses the data to determine how much adjustment to perform. The result is a novel analysis with increased…
Descriptors: Bayesian Statistics, Statistical Analysis, Efficiency, Statistical Inference
James Ohisei Uanhoro – ProQuest LLC, 2021
This dissertation is a collection of three papers. The first is a conceptual paper, followed by two data analysis papers. All three papers examine the connection between structural equation models and regression models, and how one may better learn, research and apply structural equation models when structural equation models are thought of as…
Descriptors: Structural Equation Models, Bayesian Statistics, Multiple Regression Analysis, Factor Analysis
Paul Embleton – ProQuest LLC, 2021
The processes used in identifying/diagnosing specific learning disabilities (SLDs) vary across settings and classification systems. Moreover, the theoretically and mathematically derived identification models (i.e., discrepancy model) have thus far not demonstrated adequate reliability and validity. The present study explores the utility of…
Descriptors: Artificial Intelligence, Disability Identification, Clinical Diagnosis, Learning Disabilities
Examining the Effect of Weight Conscious Drinking on Binge Drinking Frequency among College Freshmen
Castañeda, Gail; Colby, Sarah E.; Barnett, Tracey E.; Olfert, Melissa D.; Zhou, Wenjun; Leite, Walter L.; El Zein, Aseel; Mathews, Anne E. – Journal of American College Health, 2020
Objective: To examine the effect of weight-conscious drinking and compensatory behavior temporality on binge drinking frequency of college freshmen. Participants: Freshmen (n = 1149) from eight US universities, Fall 2015. Methods: Participants completed the Compensatory Eating Behaviors in Response to Alcohol Consumption Scale and Alcohol Use…
Descriptors: Body Weight, Alcohol Abuse, Eating Disorders, Eating Habits
Verger, Mélina; Lallé, Sébastien; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2023
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against some students and possible harmful long-term…
Descriptors: Prediction, Models, Student Behavior, Academic Achievement
Lim, Sun Ah – Child & Youth Care Forum, 2023
Background: In recent years, the penetration rate of smartphones among Korean teenagers has increased, making it critical to clarify the influence of these devices on adolescents' lives. Objective: This study investigated the effects of smartphone dependence on peer relationships and life satisfaction among Korean adolescents. Methods: Using the…
Descriptors: Foreign Countries, Adolescents, Middle School Students, Addictive Behavior
Le, Hang; Edwards, D. Brent, Jr. – Comparative Education, 2023
Since the 1990s, Singapore has firmly established its reputation in the global education policy space as one of the best education systems in the world. However, existing policy transfer literature on Singapore has been mainly interested in Singapore as a decontextualised, ahistorical case, rather than as a unique player in the global education…
Descriptors: Foreign Countries, Global Approach, Reputation, Educational Policy
Quimby, Barbara; Beresford, Melissa – Field Methods, 2023
Participatory modeling (PM) is an engaged research methodology for creating analog or computer-based models of complex systems, such as socio-environmental systems. Used across a range of fields, PM centers stakeholder knowledge and participation to create more internally valid models that can inform policy and increase engagement and trust…
Descriptors: Research Methodology, Models, Stakeholders, World Views
González-Eras, Alexandra; Dos Santos, Ricardo; Aguilar, Jose – International Journal of Artificial Intelligence in Education, 2023
Professional profiles are unstructured documents where the knowledge and experience of the editor predominate, presenting inconsistencies and ambiguities in terms of the competencies they contain, making complicated the recognition of knowledge and skills necessary for the proposal of university study programs. Also, the identification of…
Descriptors: Technological Literacy, Competence, Profiles, Evaluation Methods