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David Voas; Laura Watt – Teaching Statistics: An International Journal for Teachers, 2025
Binary logistic regression is one of the most widely used statistical tools. The method uses odds, log odds, and odds ratios, which are difficult to understand and interpret. Understanding of logistic regression tends to fall down in one of three ways: (1) Many students and researchers come to believe that an odds ratio translates directly into…
Descriptors: Statistics, Statistics Education, Regression (Statistics), Misconceptions
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Ioana-Elena Oana; Carsten Q. Schneider – Sociological Methods & Research, 2024
The robustness of qualitative comparative analysis (QCA) results features high on the agenda of methodologists and practitioners. This article aims at advancing this debate on several fronts. First, in line with the extant literature, we take a comprehensive view on robustness arguing that decisions on calibration, consistency, and frequency…
Descriptors: Robustness (Statistics), Qualitative Research, Comparative Analysis, Decision Making
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Sanetti, Lisa M. H.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2021
Treatment fidelity refers to the extent to which an intervention is implemented as planned. If researchers do not assess and report treatment fidelity, or if treatment fidelity is shown to be low, findings from intervention studies are difficult to interpret, because the intervention may not have been implemented as planned. In this article, our…
Descriptors: Fidelity, Intervention, Program Implementation, Data Interpretation
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Iannario, Maria; Tarantola, Claudia – Sociological Methods & Research, 2023
This contribution deals with effect measures for covariates in ordinal data models to address the interpretation of the results on the extreme categories of the scales, evaluate possible response styles, and motivate collapsing of extreme categories. It provides a simpler interpretation of the influence of the covariates on the probability of the…
Descriptors: Data Analysis, Data Interpretation, Probability, Models
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Prerna Srigyan; Kim Fortun – Science & Education, 2025
Research in cultural anthropology and the interdisciplinary field of science and technology studies (STS) has demonstrated that environmental disasters are not only techno-scientifically and socio-politically complex but also epistemically complex -- involving perspectival diversity; multiple, often conflicting forms of evidence; data gaps and…
Descriptors: Case Studies, Environmental Education, Natural Disasters, Justice
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Chi Kit Jacky Ng; Lok Yin Joyce Kwan; Wai Chan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In the past decade, moderated mediation analysis has been extensively and increasingly employed in social and behavioral sciences. With its widespread use, it is particularly important to ensure the moderated mediation analysis will not bring spurious results. Spurious effects have been studied in both mediation and moderation analysis, but this…
Descriptors: Mediation Theory, Social Sciences, Behavioral Sciences, Predictor Variables
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Toubassi, Diana; Schenker, Carly; Roberts, Michael; Forte, Milena – Advances in Health Sciences Education, 2023
Trainee distress and burnout continue to be serious concerns for educational programs in medicine, prompting the implementation of numerous interventions. Although an expansive body of literature suggests that the experience of meaning at work is critical to professional wellbeing, relatively little attention has been paid to how this might be…
Descriptors: Medical Students, Professional Identity, Individual Development, Well Being
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McHenry, William K. – Journal of Information Systems Education, 2022
Students now have readily available and powerful tools to access, manipulate, combine, and visualize data. Acquiring data and visual literacy requires more than knowledge of how to use these tools. Students need to engage with assignments that challenge them to make relatively complex visualizations, interpret them, and explain why these…
Descriptors: Visual Aids, Scoring Rubrics, Feedback (Response), Data Interpretation
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Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
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Tye A. Ripma – Journal of Disability Policy Studies, 2025
The U.S. Department of Education's Office of Special Education Programs collects data on how states implement the Individuals with Disabilities Education Act through the mandated State Performance Plan/Annual Performance Report (SPP/APR). Some indicators in the SPP/APR require state educational agencies (SEAs) to report data by race and ethnicity.…
Descriptors: Equal Education, Students with Disabilities, Inclusion, Special Education
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Rotelli, Daniela; Monreale, Anna – Journal of Learning Analytics, 2023
The increased adoption of online learning environments has resulted in the availability of vast amounts of educational log data, which raises questions that could be answered by a thorough and accurate examination of students' online learning behaviours. Event logs describe something that occurred on a platform and provide multiple dimensions that…
Descriptors: Learning Analytics, Learning Management Systems, Time on Task, Student Behavior
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Liza Bondurant; Stephanie Somersille – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…
Descriptors: Statistics Education, Teaching Methods, Newspapers, Decision Making
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Rubel, Laurie H.; Nicol, Cynthia; Chronaki, Anna – Educational Studies in Mathematics, 2021
Data visualizations have proliferated throughout the COVID-19 pandemic to communicate information about the crisis and influence policy development and individual decision-making. In invoking exponential growth, mathematical modelling, statistical analysis, and the like, these data visualizations invite opportunities for mathematics teaching and…
Descriptors: Mathematics Education, Data Use, Data Interpretation, Visual Aids
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Jordan P. Beck; Diane M. Miller – Journal of Chemical Education, 2022
A version of the classic rotationally resolved infrared (IR) spectrum of a diatomic molecule experiment has been developed using the POGIL framework to more fully engage students in the collection, modeling, analysis, and interpretation of the data. An analysis of the experimental protocol reveals that the POGIL approach actively engages students…
Descriptors: Learner Engagement, Chemistry, Science Instruction, Laboratory Experiments
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Alexander, Patricia A. – Review of Educational Research, 2020
The purpose of this article is to overview various challenges that prospective authors of quality systematic reviews should be prepared to address. These challenges pertain to all phases of the review process: from posing a critical question worthy of pursuit and executing a search procedure that is appropriately framed and transparently recorded,…
Descriptors: Literature Reviews, Educational Research, Search Strategies, Data Interpretation
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