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Pronovost, Megan A.; Scott, Rose M. – Journal of Cognition and Development, 2021
Adults use social-group membership to make inductive inferences about the properties of novel individuals, and this tendency is well established by the preschool years. Recent evidence suggests that infants attend to features associated with social groups and use social-group membership to interpret an agents' actions. The current study sought to…
Descriptors: Social Influences, Inferences, Logical Thinking, Infants
Guan, Shuang; Arnold, Jennifer E. – Discourse Processes: A Multidisciplinary Journal, 2021
In discourses involving implicit causality, the implicit cause of the event is referentially predictable, that is, it is likely to be rementioned. However, it is unclear how referential predictability is calculated. We test two possible explanations: (1) The frequency account suggests that people learn that implicit causes are predictable through…
Descriptors: Influences, Prediction, Incidence, Comprehension
Pilegard, Celeste; Fiorella, Logan – Applied Cognitive Psychology, 2021
This study investigated whether an instructor's gestures can signal the underlying conceptual structure of a lesson and foster learning. In Experiment 1, 123 undergraduates watched a video comparing eastern and western steamboats in which the instructor produced structure gestures, surface gestures, structure and surface gestures, or neither…
Descriptors: Nonverbal Communication, Teaching Methods, Learning Processes, Undergraduate Students
Loy, Adam – Journal of Statistics and Data Science Education, 2021
In the classroom, we traditionally visualize inferential concepts using static graphics or interactive apps. For example, there is a long history of using apps to visualize sampling distributions. The lineup protocol for visual inference is a recent development in statistical graphics that has created an opportunity to build student understanding.…
Descriptors: Statistics Education, Statistical Inference, Visualization, Visual Aids
Danielle Bessett; Laura Dudley Jenkins; Katherine Castiello Jones; Amy Koshoffer; Amber Burkett Peplow; Stephanie Sadre-Orafai; Valerie Weinstein – Journal of Faculty Development, 2021
How can colleges and universities increase the number of women full professors? Criteria and expectations for promotion need more scholarly scrutiny. Through a game-based study, women associate professors from arts, humanities, social science, and STEM fields at a public urban research-1 university categorized different aspects of promotion…
Descriptors: Women Faculty, Teacher Attitudes, Faculty Promotion, Criteria
Weicong Lyu; Peter M. Steiner – Society for Research on Educational Effectiveness, 2021
Doubly robust (DR) estimators that combine regression adjustments and inverse probability weighting (IPW) are widely used in causal inference with observational data because they are claimed to be consistent when either the outcome or the treatment selection model is correctly specified (Scharfstein et al., 1999). This property of "double…
Descriptors: Robustness (Statistics), Causal Models, Statistical Inference, Regression (Statistics)
Per Nilsson; Andreas Eckert – Mathematical Thinking and Learning: An International Journal, 2024
This study contributes to the call for influencing practice by increasing attention to how learning environments can be designed to support learning in statistical inference. We report on a design experiment in secondary school (students 14-16 years old), that resulted in a set of lessons with the learning goal of teaching students how to apply…
Descriptors: Mathematics Instruction, Teaching Methods, Hypothesis Testing, Secondary School Students
Catherine Mata; Katharine Meyer; Lindsay Page – Annenberg Institute for School Reform at Brown University, 2024
This article examines the risk of crossover contamination in individual-level randomization, a common concern in experimental research, in the context of a large-enrollment college course. While individual-level randomization is more efficient for assessing program effectiveness, it also increases the potential for control group students to cross…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Large Group Instruction
Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Avery H. Closser; Adam Sales; Anthony F. Botelho – Educational Technology Research and Development, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data to study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Lyrica Lucas; Anum Khushal; Robert Mayes; Brian A. Couch; Joseph Dauer – International Journal of Science Education, 2025
Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…
Descriptors: Undergraduate Students, College Science, Biology, Classroom Observation Techniques
Paul T. von Hippel; Brendan A. Schuetze – Annenberg Institute for School Reform at Brown University, 2025
Researchers across many fields have called for greater attention to heterogeneity of treatment effects--shifting focus from the average effect to variation in effects between different treatments, studies, or subgroups. True heterogeneity is important, but many reports of heterogeneity have proved to be false, non-replicable, or exaggerated. In…
Descriptors: Educational Research, Replication (Evaluation), Generalizability Theory, Inferences
Emhardt, Selina N.; Wermeskerken, Margot; Scheiter, Katharina; van Gog, Tamara – Applied Cognitive Psychology, 2020
Eye movements reveal what is at the center of people's attention, which is assumed to coincide with what they are thinking about. Eye-movement displays (visualizations of a person's fixations superimposed onto the stimulus, for example, as dots or circles) might provide useful information for diagnosing that person's performance. However, making…
Descriptors: Eye Movements, Performance, Self Esteem, Inferences
Saylor, Ryan – Sociological Methods & Research, 2020
Advice on case selection in small-"N" research emphasizes controlling for confounding variables to facilitate inferential tests of a cross-case pattern. Yet many researchers embrace the "mechanismic worldview" and aim to construct explanations. Explanations differ from inferences because one explains an outcome at the…
Descriptors: Case Studies, Selection, Inferences, Qualitative Research
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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