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San Martín, Ernesto; González, Jorge – Journal of Educational and Behavioral Statistics, 2022
The nonequivalent groups with anchor test (NEAT) design is widely used in test equating. Under this design, two groups of examinees are administered different test forms with each test form containing a subset of common items. Because test takers from different groups are assigned only one test form, missing score data emerge by design rendering…
Descriptors: Tests, Scores, Statistical Analysis, Models
Chernoff, Egan J.; Russell, Gale L.; Banting, Nat – Canadian Journal of Science, Mathematics and Technology Education, 2022
A number of memorable tasks have been revealed through collegial exchanges with underlying philosophical, theoretical, and potentially nefarious motivations. Such was the origin of the probability problem, and the various differences of opinion, presented herein. This article recounts how, together, we explored and disputed the probabilities…
Descriptors: Probability, Games, Interpersonal Communication, Problem Solving
Victoria M. Beltran; Jason Beckstead – Journal of American College Health, 2025
Objective: To examine the utility of a novel sexual risk index (SRI) to better use National College Health Assessment (NCHA) sexual health-related questions. Methods: The first phase included discussions, testing, and recoding of the initial set of items. In the second phase, a correlation analysis was run; items were systematically removed to…
Descriptors: At Risk Persons, Sexuality, College Students, Health Behavior
Mopreet Pabla; Andrew Shtulman; Ori Friedman – Developmental Science, 2025
Children often say that possible events are impossible, and only gradually come to see these events as possible. For instance, they often deny that people could do unusual things, like own a pet peacock, or immoral things, like stealing or lying. These possibility denials are surprising. For instance, children have first-hand experience with the…
Descriptors: Childrens Attitudes, Evaluative Thinking, Probability, Realism
Widaman, Keith F. – Educational and Psychological Measurement, 2023
The import or force of the result of a statistical test has long been portrayed as consistent with deductive reasoning. The simplest form of deductive argument has a first premise with conditional form, such as p[right arrow]q, which means that "if p is true, then q must be true." Given the first premise, one can either affirm or deny…
Descriptors: Hypothesis Testing, Statistical Analysis, Logical Thinking, Probability
Liang, Qianru; de la Torre, Jimmy; Law, Nancy – Journal of Educational and Behavioral Statistics, 2023
To expand the use of cognitive diagnosis models (CDMs) to longitudinal assessments, this study proposes a bias-corrected three-step estimation approach for latent transition CDMs with covariates by integrating a general CDM and a latent transition model. The proposed method can be used to assess changes in attribute mastery status and attribute…
Descriptors: Cognitive Measurement, Models, Statistical Bias, Computation
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
Jeffrey Ehme – PRIMUS, 2024
The Miller-Rabin test is a useful probabilistic method for finding large primes. In this paper, we explain the method in detail and give three variations on this test. These variations were originally developed as student projects to supplement a course in error correcting codes and cryptography.
Descriptors: Probability, Numbers, Coding, Algorithms
Terence Mills – Australian Mathematics Education Journal, 2024
Terence Mills introduces us to Keynsian probability and discusses its implications for teaching probability. The author considers it unlikely that Keynes's theory would replace how we teach probability, but argues that it may make us think more deeply about the use of terms such as chance and probability when used in our lessons.
Descriptors: Probability, Mathematics Instruction, Teaching Methods, Theories
Inga Lück; Victor Mittelstädt; Ian G. Mackenzie; Rico Fischer – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Although humans often multitask, little is known about how the processing of concurrent tasks is managed. The present study investigated whether adjustments in parallel processing during multitasking are local (task-specific) or global (task-unspecific). In three experiments, participants performed one of three tasks: a primary task or, if this…
Descriptors: Task Analysis, Time Management, Probability, Bias
Evangelia Kartsounidou; Rebekka Kluge; Henning Silber; Tobias Gummer – International Journal of Social Research Methodology, 2024
Across waves of a panel survey, panel members are repeatedly exposed to the same or very similar survey questions, which might lead to learning effects. We used data from 24 waves of online interviews in a probability-based panel survey to investigate the positive and negative effects of becoming more familiar with the survey questions. We found…
Descriptors: Surveys, Reaction Time, Familiarity, Replication (Evaluation)
Kevin A. Gee; Michael A. Gottfried; S. Colby Woods – Annenberg Institute for School Reform at Brown University, 2024
While foster youth miss more school versus their non-foster counterparts, their status as a foster youth is not static, with many of them entering and exiting the foster care system over time. These dynamics of entry and exit can represent particularly crucial transition periods of stability and instability that may differentially influence…
Descriptors: Foster Care, Child Welfare, Student Behavior, Attendance
Abdul Haq – Measurement: Interdisciplinary Research and Perspectives, 2024
This article introduces an innovative sampling scheme, the median sampling (MS), utilizing individual observations over time to efficiently estimate the mean of a process characterized by a symmetric (non-uniform) probability distribution. The mean estimator based on MS is not only unbiased but also boasts enhanced precision compared to its simple…
Descriptors: Sampling, Innovation, Computation, Probability
Martin O'Flaherty; Jessica Hill; Matthew Bourke; Sjaan Gomersall; Sean Tweedy; John Cairney – Autism: The International Journal of Research and Practice, 2025
Autistic children are less likely to participate in sport than non-autistic children, but we know little about how patterns of participation in team and individual sport change across childhood. Drawing on a nationally representative cohort of Australian children, this study analysed trajectories of participation in team and individual sport…
Descriptors: Athletics, Participation, Autism Spectrum Disorders, Children
Richard Breen; John Ermisch – Sociological Methods & Research, 2024
We consider the problem of bias arising from conditioning on a post-outcome collider. We illustrate this with reference to Elwert and Winship (2014) but we go beyond their study to investigate the extent to which inverse probability weighting might offer solutions. We use linear models to derive expressions for the bias arising in different kinds…
Descriptors: Probability, Statistical Bias, Weighted Scores, Least Squares Statistics

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