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Kastberg, David; Murray, Gordon; Ferraro, David; Arieira, Carlos; Roey, Shep; Mamedova, Saida; Liao, Yuqi – National Center for Education Statistics, 2021
The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, Young Adults
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Aspiranti, Kathleen B.; Jackson, Carrie – School Psychology Forum, 2018
Although one of the main functions of school psychology research is to inform practice, there remains a large research-to-practice gap. Both practitioners and scholars are crucial in ensuring that research within the field is comprehensive and well represented. In the current study, presenter, contributor, and presenter affiliation demographics…
Descriptors: Conference Papers, Participant Characteristics, School Psychology, Demography
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Atalay, Ahmet – Universal Journal of Educational Research, 2018
The aim of this study was to examine the methodological tendencies in the doctorate theses which were prepared in the field of Sports Management in Turkish between 2007 and 2016 and which were open to access in the database of the Council of Higher Education (CHE) National Theses Center. In this context, 111 doctorate theses prepared in the last…
Descriptors: Content Analysis, Research Methodology, Research Design, Athletics
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Sotudeh, Hajar; Ghasempour, Zahra – College & Research Libraries, 2018
Purpose: The present study explored tendencies of the world's countries--at individual and scientific development levels--toward publishing in APC-funded open access journals. Design/Methodology/Approach: Using a bibliometric method, it studied OA and NOA articles issued in Springer and Elsevier's APC journals? during 2007-2011. The data were…
Descriptors: Access to Information, Journal Articles, Electronic Publishing, Bibliometrics
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Yang, Xianmin; Song, Shuqiang; Zhao, Xinshuo; Yu, Shengquan – Interactive Learning Environments, 2018
Open knowledge communities (OKCs) have become popular in the era of knowledge economy. This study aimed to explore how users collaboratively create and share knowledge in OKCs. In particular, this research identified the behavior distribution and behavioral patterns of users by conducting frequency distribution and lag sequential analyses. Some…
Descriptors: Behavior Patterns, Foreign Countries, Communities of Practice, Statistical Distributions
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Conant, Donald D. – Journal of Education for Business, 2018
The author's goals in this exercise were to use an Excel project to teach students about the effects of changing states of nature on critical path emergence as well as compare the impact of the PERT beta and triangular distributions on project completion times. Previous research into the PERT (program evaluation and review technique) beta…
Descriptors: Program Administration, Spreadsheets, Monte Carlo Methods, Program Evaluation
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Garoutte, Lisa – Teaching Sociology, 2018
Fostering a sociological imagination in students is a central goal for most introductory sociology courses and sociology departments generally, yet success is difficult to achieve. This project suggests that using elements of asset-based community development can be used in sociology classrooms to develop a sociological perspective. After…
Descriptors: Community Education, Service Learning, Experiential Learning, Outcomes of Education
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Boppuru, Prarthap Rudra; K, Ramesha – International Journal of Web-Based Learning and Teaching Technologies, 2019
Social media is the platforms where users communicate, interact, share ideas, career interest, pictures, video, etc. Social media gives an opportunity to analyze the human behavior. Crime analysis using data from social media such as Newsfeeds, Facebook, Twitter, etc., is becoming one of the emerging areas of research for law enforcement…
Descriptors: Social Media, Foreign Countries, Prediction, Law Enforcement
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Schuler, Kathryn D.; Reeder, Patricia A.; Newport, Elissa L.; Aslin, Richard N. – Language Learning and Development, 2017
Successful language acquisition hinges on organizing individual words into grammatical categories and learning the relationships between them, but the method by which children accomplish this task has been debated in the literature. One proposal is that learners use the shared distributional contexts in which words appear as a cue to their…
Descriptors: Artificial Languages, Grammar, Classification, Word Frequency
Carpenter, Bob; Gelman, Andrew; Hoffman, Matthew D.; Lee, Daniel; Goodrich, Ben; Betancourt, Michael; Brubaker, Marcus A.; Guo, Jiqiang; Li, Peter; Riddell, Allen – Grantee Submission, 2017
Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the…
Descriptors: Programming Languages, Probability, Bayesian Statistics, Monte Carlo Methods
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Kim, Seohyun; Lu, Zhenqiu; Cohen, Allan S. – Measurement: Interdisciplinary Research and Perspectives, 2018
Bayesian algorithms have been used successfully in the social and behavioral sciences to analyze dichotomous data particularly with complex structural equation models. In this study, we investigate the use of the Polya-Gamma data augmentation method with Gibbs sampling to improve estimation of structural equation models with dichotomous variables.…
Descriptors: Bayesian Statistics, Structural Equation Models, Computation, Social Science Research
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Case, Catherine; Jacobbe, Tim – Statistics Education Research Journal, 2018
Although hypothesis testing is ubiquitous in data analysis, research suggests it is commonly misunderstood. Simulation-based inference methods have potential to make student thinking visible, thus providing a valuable lens to analyze developing conceptions about inference. This paper identifies difficulties made visible through simulation-based…
Descriptors: Statistics, Statistical Inference, Logical Thinking, Introductory Courses
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White, Susan C. – Physics Teacher, 2016
We have been looking at two different numbers that have been used to describe the availability of physics in U.S. high schools: 60% and 95%. Last month we noted that the U.S. Department of Education Office of Civil Rights (OCR) includes over 7,000 more public schools in the denominator than American Institute of Physics (AIP) Statistics does.…
Descriptors: School Statistics, Statistical Distributions, Statistical Surveys, Physics
Natesan, Prathiba; Hedges, Larry V. – Grantee Submission, 2016
Although immediacy is one of the necessary criteria to show strong evidence of a causal relation in SCDs, no inferential statistical tool is currently used to demonstrate it. We propose a Bayesian unknown change-point model to investigate and quantify immediacy in SCD analysis. Unlike visual analysis that considers only 3-5 observations in…
Descriptors: Bayesian Statistics, Statistical Inference, Research Design, Models
Humphrey, Patricia B.; Taylor, Sharon; Mittag, Kathleen Cage – Teaching Statistics: An International Journal for Teachers, 2014
Students often are confused about the differences between bar graphs and histograms. The authors discuss some reasons behind this confusion and offer suggestions that help clarify thinking.
Descriptors: Graphs, Statistical Distributions, Mathematics Instruction, Statistics
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