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Charles G. Minard – Teaching Statistics: An International Journal for Teachers, 2025
Controlling Type 1 error and encouraging reproducible research are important in clinical and translational research. These concepts are frequently discussed in lectures with mathematical language, analytic examples, and probability distributions that demonstrate the issues. However, first-time learners in biostatistics courses focusing on…
Descriptors: Statistics Education, Error Patterns, Probability, Demonstrations (Educational)
Brandon Riley Waldon – ProQuest LLC, 2024
Natural language contains a variety of means for expressing possibilities consistent with what is known. Particularly well-studied among them are the epistemic modal auxiliaries "might" and "must": (1) a. Ann: "Where is Peter?" b. Mary: "He {might/must} be in his office." There is broad agreement that…
Descriptors: Epistemology, Linguistics, Philosophy, Probability
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Takahiko Fujita; Naohiro Yoshida – International Journal of Mathematical Education in Science and Technology, 2024
Two novel proofs show that the sum of a specific pair of normal random variables is not normal are established in this note. This is one of the most often misunderstood facts by first-year students in probability theory and statistics. The first proof is concise using the moment generating function. The second proof checks whether the moments of…
Descriptors: Mathematical Logic, Validity, Probability, Statistics
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David Menendez; Andrea Marquardt Donovan; Olympia N. Mathiaparanam; Vienne Seitz; Nour F. Sabbagh; Rebecca E. Klapper; Charles W. Kalish; Karl S. Rosengren; Martha W. Alibali – Child Development, 2024
Do children think of genetic inheritance as deterministic or probabilistic? In two novel tasks, children viewed the eye colors of animal parents and judged and selected possible phenotypes of offspring. Across three studies (N = 353, 162 girls, 172 boys, 2 non-binary; 17 did not report gender) with predominantly White U.S. participants collected…
Descriptors: Childrens Attitudes, Beliefs, Genetics, Probability
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Philip Dawid; Macartan Humphreys; Monica Musio – Sociological Methods & Research, 2024
Suppose "X" and "Y" are binary exposure and outcome variables, and we have full knowledge of the distribution of "Y," given application of "X." We are interested in assessing whether an outcome in some case is due to the exposure. This "probability of causation" is of interest in comparative…
Descriptors: Causal Models, Intervals, Probability, Qualitative Research
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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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Jennifer Timmer; Joshua Bleiberg; David Woo – Society for Research on Educational Effectiveness, 2024
Background: Though approximately 80% of teachers are women, they hold only about 50% of all principalships, and just a quarter of superintendent positions (Finnan and McCord, 2017; Robinson et al., 2017; Tienken, 2021; White, 2023). When women do take on leadership positions, evidence suggests they tend to work in districts serving students with…
Descriptors: Accountability, Superintendents, Women Faculty, Women Administrators
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Brooke C. Hilton; Mark A. Sabbagh – Child Development, 2025
This study investigated 3- to 5-year-olds' (N = 64, 37 girls, 62.5% White, data collected between 2021-2022) ability to use probabilistic information gleaned through active search to appropriately change or maintain expectations. In an online fishing game, children first learned that one of two ponds was good for catching fish. During a subsequent…
Descriptors: Preschool Children, Probability, Evidence, Educational Games
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Daniel Gilmore; Brittany N. Hand – Autism: The International Journal of Research and Practice, 2024
Diabetes mellitus is a challenging chronic health condition at the forefront of attention of the healthcare system. Important estimates quantifying how diabetes prevalence varies by age are available for the general population, but these estimates are poorly characterized among autistic adults. Improved diabetes prevalence and likelihood estimates…
Descriptors: Diabetes, Health Insurance, Adults, Autism Spectrum Disorders
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Aidai Golan; Dominique Lamy – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
There is growing consensus that selection history strongly guides spatial attention and is distinct from current goals and physical salience. Here, we focused on target-location probability cueing: when the target is more likely to appear in one region, search performance gradually improves for targets appearing in that region. Probability cueing…
Descriptors: Attention, Spatial Ability, Cues, Probability
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Aoqi Li; Johan Hulleman; Jeremy M. Wolfe – Cognitive Research: Principles and Implications, 2024
In any visual search task in the lab or in the world, observers will make errors. Those errors can be categorized as "deterministic": If you miss this target in this display once, you will definitely miss it again. Alternatively, errors can be "stochastic", occurring randomly with some probability from trial to trial.…
Descriptors: Visual Perception, Visual Stimuli, Error Patterns, Probability
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John Mart V. DelosReyes; Miguel A. Padilla – Journal of Experimental Education, 2024
Estimating confidence intervals (CIs) for the correlation has been a challenge because the correlation sampling distribution changes depending on the correlation magnitude. The Fisher z-transformation was one of the first attempts at estimating correlation CIs but has historically shown to not have acceptable coverage probability if data were…
Descriptors: Research Problems, Correlation, Intervals, Computation
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David A. Klingbeil; Alexander D. Latham; Jessica S. Kim; Madeline C. Schmitt – Psychology in the Schools, 2025
Several researchers have called for schools to interpret universal screening results using posterior probabilities. Following this recommendation could require schools to move away from direct-route, single-measure screening unless base rates of risk fall within a narrow range. In this descriptive study, we investigated two questions surrounding…
Descriptors: Reading Skills, Mathematics Skills, Screening Tests, Test Results
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Mian Wu; Fan Ouyang – Journal of Computing in Higher Education, 2025
Online collaborative discussion (OCD) focuses on promoting individual knowledge inquiry and group knowledge construction through active peer interactions and communications. In practice, it is necessary to explore how different modes of OCD come into play, in which student engagement can function as an evaluating indicator. To identify student…
Descriptors: Probability, Multivariate Analysis, Learner Engagement, Asynchronous Communication
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Roslyn Wong; Aaron Veldre; Sally Andrews – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Evidence of processing costs for unexpected words presented in place of a more expected completion remains elusive in the eye-movement literature. The current study investigated whether such prediction error costs depend on the source of constraint violation provided by the prior context. Participants' eye movements were recorded as they read…
Descriptors: Reading Processes, Eye Movements, Prediction, Probability
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