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Robin Averill; Sarah Howell; Karyn Saunders – NZCER Press, 2025
This essential handbook is a must-have for anyone teaching mathematics and statistics in Aotearoa New Zealand, from student teachers to experienced educators. It offers a comprehensive resource for both primary and secondary school teachers, filled with classroom-ready activities designed to engage diverse learners and foster positive mathematics…
Descriptors: Foreign Countries, Mathematics Education, Statistics Education, Mathematics Curriculum
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What Works Clearinghouse, 2023
The appendices accompany the full report "Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008," (ED630495), which pilots a new taxonomy developed by early literacy experts and intervention developers as part of a larger effort to develop standard nomenclature for the components of literacy…
Descriptors: Bayesian Statistics, Meta Analysis, Early Intervention, Literacy
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Hu, Jingchen – Journal of Statistics Education, 2020
We propose a semester-long Bayesian statistics course for undergraduate students with calculus and probability background. We cultivate students' Bayesian thinking with Bayesian methods applied to real data problems. We leverage modern Bayesian computing techniques not only for implementing Bayesian methods, but also to deepen students'…
Descriptors: Bayesian Statistics, Statistics Education, Undergraduate Students, Computation
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Levy, Roy – Educational Assessment, 2020
This paper characterizes the ways in which increased attention to response process data has implications for psychometrics. To do so, this work draws on two organizing frameworks that have heretofore not been associated: evidence-centered design, and the distinction between greater and lesser statistics. Overlaying these frameworks leads to a…
Descriptors: Psychometrics, Responses, Data, Statistics
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Weber, Frank; Knapp, Guido; Ickstadt, Katja; Kundt, Günther; Glass, Änne – Research Synthesis Methods, 2020
The standard estimator for the log odds ratio (the unconditional maximum likelihood estimator) and the delta-method estimator for its standard error are not defined if the corresponding 2 x 2 table contains at least one "zero cell". This is also an issue when estimating the overall log odds ratio in a meta-analysis. It is well known that…
Descriptors: Meta Analysis, Maximum Likelihood Statistics, Effect Size, Error Correction
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Yamaguchi, Kazuhiro; Okada, Kensuke – Journal of Educational and Behavioral Statistics, 2020
In this article, we propose a variational Bayes (VB) inference method for the deterministic input noisy AND gate model of cognitive diagnostic assessment. The proposed method, which applies the iterative algorithm for optimization, is derived based on the optimal variational posteriors of the model parameters. The proposed VB inference enables…
Descriptors: Bayesian Statistics, Statistical Inference, Cognitive Measurement, Mathematics
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Shi, Jiandong; Luo, Dehui; Weng, Hong; Zeng, Xian-Tao; Lin, Lu; Chu, Haitao; Tong, Tiejun – Research Synthesis Methods, 2020
When reporting the results of clinical studies, some researchers may choose the five-number summary (including the sample median, the first and third quartiles, and the minimum and maximum values) rather than the sample mean and standard deviation (SD), particularly for skewed data. For these studies, when included in a meta-analysis, it is often…
Descriptors: Statistics, Computation, Sample Size, Mathematical Formulas
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Madsen, Jens Koed; Hahn, Ulrike; Pilditch, Toby D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In this article, we explore how people revise their belief in a hypothesis and the reliability of sources in circumstances where those sources are either independent or are partially dependent because of their shared, common background. Specifically, we examine people's revision of perceived source reliability by comparison with a formal model of…
Descriptors: Beliefs, Reliability, Information Sources, Foreign Countries
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Poling, Lisa; Weiland, Travis – Teaching Statistics: An International Journal for Teachers, 2020
With the creation of interactive tasks that allow students to explore spatial ways of knowing in conjunction with their other ways of knowing the world, we create a space where students can make sense of information as they organize these new ideas into their already existing schema. Through the use of a Common Online Data Analysis Platform…
Descriptors: Data Analysis, Data Collection, Spatial Ability, Statistics
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Rubin, Andee – Journal of the Learning Sciences, 2020
Teaching students to reason with data is not a totally new enterprise. A small but insistent statistics education community has been studying the process for decades. This commentary provides an introduction to some major themes of that research, in order to provide common ground for conversations between learning sciences researchers and those…
Descriptors: Logical Thinking, Data Use, Statistics, Mathematics Instruction
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Savitz, Ryan; Savitz, Fred; DiMarco, David; Hollingsworth, Blane – PRIMUS, 2020
This paper discusses a concept that we call "'m'-tile means," which are the arithmetic mean of data values that break a data set into "m"-1 equal parts. Studying "m"-tile means can engage students' critical thinking skills and demonstrate the concepts underlying commonly used measures of central tendency, and so they…
Descriptors: Mathematical Concepts, Statistics, Mathematics Instruction, Student Projects
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Du, Han; Bradbury, Thomas N.; Lavner, Justin A.; Meltzer, Andrea L.; McNulty, James K.; Neff, Lisa A.; Karney, Benjamin R. – Research Synthesis Methods, 2020
Researchers often seek to synthesize results of multiple studies on the same topic to draw statistical or substantive conclusions and to estimate effect sizes that will inform power analyses for future research. The most popular synthesis approach is meta-analysis. There have been few discussions and applications of other synthesis approaches.…
Descriptors: Bayesian Statistics, Meta Analysis, Statistical Inference, Synthesis
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Boda, Phillip A.; James, Katherine; Sotelo, Jose; McGee, Steven; Uttal, David – School Science and Mathematics, 2022
Disparities in Mathematics performance have been shown across race and gender for decades, although little research has reported the race by gender nexus in terms of disparity. In turn, research done to ameliorate these disparities have assumed that these differences are primarily among student populations who need remedial learning improvement.…
Descriptors: Racial Differences, Gender Differences, Elementary School Mathematics, Achievement Gap
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Dalane, Kari; Marcotte, Dave E. – Educational Researcher, 2022
Over the past three decades, children from low-income families have increasingly been attending different public schools than those from more affluent families. Though recent work has helped us understand patterns of income segregation between districts and schools within districts, we know little about segregation of students as they experience…
Descriptors: School Segregation, Socioeconomic Status, Public Schools, Class Activities
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Ebenbeck, Nikola; Rieser, Jakob; Jungjohann, Jana; Gebhardt, Markus – Journal of Research in Special Educational Needs, 2022
Although inclusion is the declared goal, the transition from a system based on special schools to an inclusive school system has only been progressing very slowly in individual countries. In an evolving school system, the existing special schools keep struggling to justify their existence. This study investigates the regional distribution effects…
Descriptors: Special Schools, Student Placement, Special Needs Students, Inclusion
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