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Daniel B. Wright – Open Education Studies, 2024
Pearson's correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman's [rho] is a popular alternative. These procedures are compared with ranking the data and then applying the inverse normal transformation, or…
Descriptors: Models, Simulation, Statistical Analysis, Correlation
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Chris M. Fiacconi – Metacognition and Learning, 2024
The relationship between confidence and accuracy has long been an important and controversial topic within the field of human memory. In a recent review article, Schwartz (2024). "Inferential theories of retrospective confidence." Metacognition & Learning.) competently summarized some of the key empirical findings on this issue and…
Descriptors: Memory, Self Esteem, Accuracy, Correlation
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Gary N. Marks; Michael O'Connell – Review of Education, 2024
The first section of this paper sets the record straight regarding many of Debouwere's (2024, "Review of Education," 12, e3445) specific criticisms. The second section discusses the magnitude of the SES-achievement relationship, specifically Debouwere's (2024) contention that the correlation is strong around 0.5 or 0.6 compared to…
Descriptors: Academic Achievement, Cognitive Ability, Genetics, Socioeconomic Status
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Matthew C. Makel; Scott J. Peters; Lindsay Ellis Lee; Tamra Stambaugh; Matthew T. McBee; D. Betsy McCoach; Kiana R. Johnson – Gifted Child Today, 2024
Finding all the "gifted" students who would benefit from a gifted and talented service is a perpetual concern. In this article, we focus on how to effectively implement multiple criteria in identification. First, we provide some broad background before introducing three different ways to combine multiple data points (AND, OR, and MEAN)…
Descriptors: Academically Gifted, Talent Identification, Gifted Education, Evaluation Criteria
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David Budtz Pedersen; Rolf Hvidtfeldt – Research Evaluation, 2024
In this article, we present a conceptual framework for studying research impact focusing on the foundations that need to be in place to accelerate an observable change of policy, practice or behaviour. The article investigates the relationship between micro-impacts and societal change, and how smaller impacts scale into larger cascades of end…
Descriptors: Research, Influences, Policy, Best Practices
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Tan, Ser Hong; Pang, Joyce S. – Educational Psychology Review, 2023
Test anxiety refers to a specific type of anxiety that is experienced in tests, exams, and other similar testing situations that evaluate one's achievement. Research in test anxiety has been pursued under two traditions--the test anxiety and achievement motivation research traditions--more or less independently. The test anxiety research tradition…
Descriptors: Test Anxiety, Research, Achievement Need, Motivation
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Fumio Ono – Educational Philosophy and Theory, 2024
The aim of this paper is to examine the relationship between education and technological rationality from the perspective of the philosophy of education, and to show that while education is deeply related to technique, skills, or technology, it can never be reduced to technical knowledge, and that there are things in education that overflow…
Descriptors: Educational Philosophy, Correlation, Influence of Technology, Individual Development
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van Aert, Robbie C. M.; Goos, Cas – Research Synthesis Methods, 2023
The partial correlation coefficient quantifies the relationship between two variables while taking into account the effect of one or multiple control variables. Researchers often want to synthesize partial correlation coefficients in a meta-analysis since these can be readily computed based on the reported results of a linear regression analysis.…
Descriptors: Computation, Sampling, Correlation, Meta Analysis
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Sotoudeh, Ramina; DiMaggio, Paul – Sociological Methods & Research, 2023
Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…
Descriptors: Algorithms, Simulation, Prediction, Correlation
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Bimler, David; Uusküla, Mari – Field Methods, 2021
When informants from a given culture are asked to list items from a specified semantic domain, their lists provide two indicators of each term's prominence or salience: its frequency of appearance across lists and its mean position within the lists that include it. Smith et al. (1995), Sutrop (2001), and most recently Robbins et al. (2017) have…
Descriptors: Semantics, Incidence, Correlation, Graphs
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Wojciech Kaftanski – Journal of Moral Education, 2024
This article argues for a unique role of imagination and mental images in the moral education of students. Imagination is rendered here as a capacity oriented toward realizable and salient goals; mental images are understood as particular future-oriented self-representations (FOSRs) devised by and held in imagination. FOSRs have four moral…
Descriptors: Imagination, Moral Values, Moral Development, Goal Orientation
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Gottfried, Jaroslav; Ježek, Stanislav; Králová, Maria; Rihácek, Tomáš – Practical Assessment, Research & Evaluation, 2022
Valid data are essential for making correct theoretical and practical implications. Hence, efficient methods for detecting and excluding data with dubious validity are highly valuable in any field of science. This paper introduces the idea of applying autocorrelation analysis on self-report questionnaires with single-choice numbered, preferably…
Descriptors: Questionnaires, Screening Tests, Measurement Techniques, Correlation
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William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
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Mejai Bola Mike Avoseh – Adult Learning, 2024
A rear-view mirror approach indicates that citizenship education and adult learning and education (ALE) for lifelong learning have been prominent throughout history, dating back to the League of Nations and continuing through the United Nations and UNESCO. The League of Nations was founded in 1920 after World War I when humanity realized that…
Descriptors: Citizenship Education, Lifelong Learning, Adult Education, Indigenous Knowledge
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