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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
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
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
Schmid, Matthias; Friede, Tim; Klein, Nadja; Weinhold, Leonie – Research Synthesis Methods, 2023
Recent years have seen the development of many novel scoring tools for disease prognosis and prediction. To become accepted for use in clinical applications, these tools have to be validated on external data. In practice, validation is often hampered by logistical issues, resulting in multiple small-sized validation studies. It is therefore…
Descriptors: Probability, Meta Analysis, Time, Test Validity
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
Karlson, Kristian Bernt; Popham, Frank; Holm, Anders – Sociological Methods & Research, 2023
This article presents two ways of quantifying confounding using logistic response models for binary outcomes. Drawing on the distinction between marginal and conditional odds ratios in statistics, we define two corresponding measures of confounding (marginal and conditional) that can be recovered from a simple standardization approach. We…
Descriptors: Statistical Analysis, Probability, Standards, Mediation Theory
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
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
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
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
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
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
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)