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David Broska; Michael Howes; Austin van Loon – Sociological Methods & Research, 2025
Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not "interchangeable," there is limited guidance on using LLMs to obtain valid estimates of causal effects and other parameters. We argue that LLM predictions…
Descriptors: Artificial Intelligence, Observation, Prediction, Correlation
Luke Keele; Matthew Lenard; Lindsay Page – Journal of Research on Educational Effectiveness, 2024
In education settings, treatments are often non-randomly assigned to clusters, such as schools or classrooms, while outcomes are measured for students. This research design is called the clustered observational study (COS). We examine the consequences of common support violations in the COS context. Common support violations occur when the…
Descriptors: Intervention, Cluster Grouping, Observation, Catholic Schools
Bradley, Holly; Smith, Beth A.; Wilson, Rujuta B. – Infant and Child Development, 2023
Joint attention (JA) is the purposeful coordination of an individual's focus of attention with that of another and begins to develop within the first year of life. Delayed, or atypically developing, JA is an early behavioural sign of many developmental disabilities and so assessing JA in infancy can improve our understanding of trajectories of…
Descriptors: Attention, Infants, Child Development, Qualitative Research
Jeremy L. Hsu; Sara Gartland; Joelle Prate; Charles Hohensee – CBE - Life Sciences Education, 2025
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…
Descriptors: Thinking Skills, Numeracy, Introductory Courses, Biology
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
Commeford, Kelley; Brewe, Eric; Traxler, Adrienne – Physical Review Physics Education Research, 2022
The vast majority of research involving active learning pedagogies uses passive lecture methods as a baseline. We propose to move beyond such comparisons to understand the mechanisms that make different active learning styles unique. Here, we use COPUS observations to record student and instructor activities in six known styles of active learning…
Descriptors: Active Learning, Teaching Methods, Cognitive Style, Physics
Podschuweit, Nicole – Research Ethics, 2021
This paper aims to bring into the ethical debate on covert research two aspects that are neglected to date: the perspective of the research subjects and the special responsibility of investigators towards their observers. Both aspects are falling behind, especially in quantitative social research. From a methodological point of view, quantitative…
Descriptors: Ethics, Observation, Responsibility, Research Assistants
Baggetta, Matthew; Bredenkamp, David M. – Sociological Methods & Research, 2021
Scholars of civil society organizations (CSOs) have long been concerned with face-to-face interactions among participants at meetings, events, and activities--what we collectively call "convenings." Small-N ethnographies have uncovered substantial differences in the dynamics of convenings within and across CSOs. Large-N quantitative…
Descriptors: Observation, Community Organizations, Interaction, Group Dynamics
Lindsay C. Page; Matthew A. Lenard; Luke Keele – Annenberg Institute for School Reform at Brown University, 2020
Clustered observational studies (COSs) are a critical analytic tool for educational effectiveness research. We present a design framework for the development and critique of COSs. The framework is built on the counterfactual model for causal inference and promotes the concept of designing COSs that emulate the targeted randomized trial that would…
Descriptors: Educational Research, Observation, Research Design, Statistical Analysis
Lindsay C. Page; Matthew A. Lenard; Luke Keele – AERA Open, 2020
Clustered observational studies (COSs) are a critical analytic tool for educational effectiveness research. We present a design framework for the development and critique of COSs. The framework is built on the counterfactual model for causal inference and promotes the concept of designing COSs that emulate the targeted randomized trial that would…
Descriptors: Educational Research, Observation, Research Design, Statistical Analysis
Wang, Yan; Rodríguez de Gil, Patricia; Chen, Yi-Hsin; Kromrey, Jeffrey D.; Kim, Eun Sook; Pham, Thanh; Nguyen, Diep; Romano, Jeanine L. – Educational and Psychological Measurement, 2017
Various tests to check the homogeneity of variance assumption have been proposed in the literature, yet there is no consensus as to their robustness when the assumption of normality does not hold. This simulation study evaluated the performance of 14 tests for the homogeneity of variance assumption in one-way ANOVA models in terms of Type I error…
Descriptors: Comparative Analysis, Statistical Analysis, Robustness (Statistics), Observation
Dart, Evan H.; Radley, Keith C.; Briesch, Amy M.; Furlow, Christopher M.; Cavell, Hannah J.; Briesch, Amy M. – Behavioral Disorders, 2016
Two studies investigated the accuracy of eight different interval-based group observation methods that are commonly used to assess the effects of classwide interventions. In Study 1, a Microsoft Visual Basic program was created to simulate a large set of observational data. Binary data were randomly generated at the student level to represent…
Descriptors: Observation, Intervention, Simulation, Statistical Analysis
Mantzicopoulos, Panayota; Patrick, Helen; Strati, Anna; Watson, Jesse S. – Journal of Experimental Education, 2018
We investigated the premise that observation measures of instruction are indicators of effective teaching, using the definition of effectiveness articulated by departments of education: teaching that boosts student achievement. We argued that student motivation is equally as important as achievement in the evaluation of teaching effectiveness…
Descriptors: Observation, Teacher Effectiveness, Kindergarten, Preschool Teachers
Hernández, Maciel M.; Eisenberg, Nancy; Valiente, Carlos; Diaz, Anjolii; VanSchyndel, Sarah K.; Berger, Rebecca H.; Terrell, Nathan; Silva, Kassondra M.; Spinrad, Tracy L.; Southworth, Jody – International Journal of Behavioral Development, 2017
The purpose of the study was to evaluate bidirectional associations between peer acceptance and both emotion and effortful control during kindergarten (N = 301). In both the fall and spring semesters, we obtained peer nominations of acceptance, measures of positive and negative emotion based on naturalistic observations in school (i.e., classroom,…
Descriptors: Peer Acceptance, Emotional Response, Self Control, Kindergarten
Polat, Seyat – Research in Social Sciences and Technology, 2020
This study aims to evaluate critical thinking skills in a multidimensional way. Based on this objective, the level of teachers' critical thinking skills, how they conceptualize critical thinking, their practices of critical thinking in the classroom, and if the critical thinking is referred enough in the curriculum are analyzed in this research.…
Descriptors: Critical Thinking, Thinking Skills, Statistical Analysis, Educational Practices

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