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Park, Keunhyung – ProQuest LLC, 2023
The meaning of positive polar questions (PPQs) is relatively straightforward, so the truth conditions of PPQs can be decided easily. In contrast, the meaning of negative polar questions (NPQs) may vary, and simple yes-no answers to NPQs have seemingly unpredictable interpretations. For example, a simple yes answer to a PPQ like 'Did you have lunch…
Descriptors: Korean, Contrastive Linguistics, Classification, Questioning Techniques
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Joemari Olea; Kevin Carl Santos – Journal of Educational and Behavioral Statistics, 2024
Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…
Descriptors: Cognitive Measurement, Models, Algorithms, Simulation
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Rui Yao; Meilin Tian; Chi-Un Lei; Dickson K. W. Chiu – Education and Information Technologies, 2024
Sustainable Development Goals (SDG) 4.7 aims to ensure learners acquire the knowledge and skills for promoting sustainable development by 2030. Yet, Open Educational Resources (OERs) that connect the public with SDGs are currently limitedly assigned and insufficient to promote SDG and sustainability education to support the achievement of SDG 4.7…
Descriptors: Sustainable Development, Open Educational Resources, Sustainability, Classification
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Xuelong Hu – British Journal of Sociology of Education, 2024
This paper examines how the Durkheimian approach to the 'ideal' delineates a possible way of straddling the dilemma between the normative orientation of 'powerful knowledge' accounts and the critical orientation of 'knowledge of the powerful' accounts. It argues that the normative aims are embedded in the fabrics of the sociological description…
Descriptors: Educational Sociology, Educational Change, Foundations of Education, Social Change
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W. Holmes Finch; Jerrell C. Cassady; C. Addison Helsper – International Journal of Testing, 2024
The Academic Anxiety Scale (AAS; Cassady, 2022; Cassady et al., 2019) is a measure of the construct academic anxiety, which is a generalized representation of anxieties experienced by learners in educational settings. Academic anxiety has been identified as a preclinical indicator of anxiety that provides important predictive utility to clinical…
Descriptors: Validity, Anxiety, Academic Achievement, Behavior Rating Scales
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Simon F. Kraus – Science & Education, 2024
Observation is widely regarded as a fundamental way of studying nature. However, due to its complexity, proposing a comprehensive characterization is challenging. Observation is a method of studying nature that can be divided into several dimensions. Each of these dimensions can be presented as a pair of terms, which are elaborated in this paper…
Descriptors: Observation, Science Education, Science Process Skills, Epistemology
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Philipp Baaden; Vanessa Hollmann; Miloš Jovanovic – Research Evaluation, 2025
The corona pandemic has had a significant impact on society and posed multiple challenges for national research systems to provide guidance to policy makers in the face of the rapidly changing global crisis situation. However, existing methods generally do not allow for an early and reliable assessment of how national research systems have reacted…
Descriptors: COVID-19, Pandemics, Crisis Management, Classification
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Dongping Wu; Sheiladevi Sukumaran; Xiaomin Zhi; Wenjing Zhou; Lihua Li; Hongnan You – Education and Information Technologies, 2025
With the emerging forces of online and digital products, scholars keenly captured digital literacy and have new research dimensions. The purpose of this study is to present a bibliometric analysis of digital literacy using CiteSpace and to explore the categories, themes and research evolution in digital literacy. A total of 9042 bibliographic…
Descriptors: Classification, Digital Literacy, Bibliometrics, Educational Research
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Victor M. H. Borden; Guiping Tian – Higher Education Studies, 2025
Advances in science are often associated with pre-eminent research universities. Policy makers and those who collaborate with university researchers may assume that this advantage generalizes to all types of research. This analysis explores whether this generalization applies to research in emerging disciplines. We do so by examining the…
Descriptors: Institutional Characteristics, Scientific Research, Scholarship, Intellectual Disciplines
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K. K. Sarekenova; G. S. Rainbekova; G. Sagidolda; G. Abdimaulen; L. Beisenbayeva; G. Bekenova – Eurasian Journal of Applied Linguistics, 2025
Antonymy is a kind of lexical opposition formed by a relational pair of words that refer to a relationship from the opposite point of view. This study attempts to explore the problems of antonymy with respect to theoretical and practical lexicography. The data was collected from dictionaries, published works of scientists and lexicographers. The…
Descriptors: Lexicography, Dictionaries, Diachronic Linguistics, Definitions
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Kristin M. Frank; Alexei Kolesnikov; Xiaoyin Wang – Journal of Postsecondary Student Success, 2025
We introduce a new metric--the classification power--to examine the effectiveness of postsecondary mathematics placement policies. This metric addresses the methodological challenges of contextualizing the effectiveness of a single placement policy and comparing the effectiveness of multiple placement policies across different student populations.…
Descriptors: Postsecondary Education, Mathematics Instruction, Student Placement, College Students
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Su, Hsu-Lin; Chen, Po-Hsi – Educational and Psychological Measurement, 2023
The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…
Descriptors: Data Analysis, Correlation, Classification, Factor Structure
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Martin Zettersten; Catherine Bredemann; Megan Kaul; Kaitlynn Ellis; Haley A. Vlach; Heather Kirkorian; Gary Lupyan – Child Development, 2024
The present study tested the hypothesis that verbal labels support category induction by providing compact hypotheses. Ninety-seven 4- to 6-year-old children (M = 63.2 months; 46 female, 51 male; 77% White, 8% more than one race, 4% Asian, and 3% Black; tested 2018) and 90 adults (M = 20.1 years; 70 female, 20 male) in the Midwestern United States…
Descriptors: Children, Adults, Difficulty Level, Novelty (Stimulus Dimension)
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Gamon Savatsomboon; Phamornpun Yurayat; Ong-art Chanprasitchai; Warawut Narkbunnum; Jibon Kumar Sharma; Surapol Svetsomboon – Journal of Practical Studies in Education, 2024
The paper has three major objectives. The first objective of the paper is to synthesize and define common categories of meta-analysis. The second objective is to propose a way to comprehend these common categories of meta-analysis through learning from their respective generic conceptual frameworks. The third objective is to point out which R…
Descriptors: Classification, Meta Analysis, Computer Software, Educational Research
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James E. Pustejovsky; Man Chen – Journal of Educational and Behavioral Statistics, 2024
Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the assumptions of models for independent effect size estimates, such as by aggregating estimates to obtain one…
Descriptors: Meta Analysis, Multivariate Analysis, Effect Size, Evaluation Methods
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