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Cheng, David; Tchetgen, Eric Tchetgen; Signorovitch, James – Research Synthesis Methods, 2023
Matching-adjusted indirect comparison (MAIC) enables indirect comparisons of interventions across separate studies when individual patient-level data (IPD) are available for only one study. Due to its similarity with propensity score weighting, it has been speculated that MAIC can be combined with outcome regression models in the spirit of…
Descriptors: Comparative Analysis, Robustness (Statistics), Intervention, Patients
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Park, JinHyeong; Kim, Dong-Won – Educational Studies in Mathematics, 2023
Coordination of theoretical probability and relative frequency estimates is challenging in probability teaching and learning. Modeling is one of the ways of teaching and learning that facilitates inquiry between these two perspectives. Given that, we designed a modeling activity to support fifteen secondary students in investigating theoretical…
Descriptors: Probability, Computation, Mathematics Instruction, Mathematical Models
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Grant, David; Setodji, Claude Messan; Hunter, Gerald P.; Diliberti, Melissa Kay – RAND Corporation, 2023
The American School District Panel (ASDP) is the newest addition to the RAND Corporation's American Educator Panels (AEP) and was designed to survey district leaders several times each school year. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national…
Descriptors: Teacher Surveys, Administrator Surveys, School Surveys, School Districts
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Alejandro Ramírez-Contreras; Leopoldo Zúñiga-Silva; Ezequiel Ojeda-Gómez – International Electronic Journal of Mathematics Education, 2023
This paper reports on an exploratory study about probabilistic intuition in learning mathematics for decision-making. The analysis was carried out on a group of high school students in relation to their probabilistic intuition in problem-solving, after performing playful learning activities on a simulation platform specifically designed for this…
Descriptors: High School Students, Mathematics Instruction, Intuition, Probability
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Dragica Ljubisavljevic; Marko Koprivica; Aleksandar Kostic; Vladan Devedžic – International Association for Development of the Information Society, 2023
This paper delves into statistical disparities between human-written and ChatGPT-generated texts, utilizing an analysis of Shannon's equitability values, and token frequency. Our findings indicate that Shannon's equitability can potentially be a differentiating factor between texts produced by humans and those generated by ChatGPT. Additionally,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing (Composition)
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Joseph M. Kush; Elise T. Pas; Rashelle J. Musci; Catherine P. Bradshaw – Journal of Research on Educational Effectiveness, 2023
Propensity score matching and weighting methods are often used in observational effectiveness studies to reduce imbalance between treated and untreated groups on a set of potential confounders. However, much of the prior methodological literature on matching and weighting has yet to examine performance for scenarios with a majority of treated…
Descriptors: Probability, Observation, Weighted Scores, Monte Carlo Methods
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Matthew R. Dougherty; David Halpern; Michael J. Kahana – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Although possible to recall in both forward and backward order, recall proceeds most naturally in the order of encoding. Prior studies ask whether and how forward and backward recall differ. We reexamine this classic question by studying recall dynamics while varying the predictability and timing of forward and backward cues. Although overall…
Descriptors: Recall (Psychology), Serial Ordering, Short Term Memory, Prediction
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van der Linden, Wim J. – Journal of Educational and Behavioral Statistics, 2022
The current literature on test equating generally defines it as the process necessary to obtain score comparability between different test forms. The definition is in contrast with Lord's foundational paper which viewed equating as the process required to obtain comparability of measurement scale between forms. The distinction between the notions…
Descriptors: Equated Scores, Test Items, Scores, Probability
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Rey, Arnaud; Fagot, Joël; Mathy, Fabien; Lazartigues, Laura; Tosatto, Laure; Bonafos, Guillem; Freyermuth, Jean-Marc; Lavigne, Frédéric – Cognitive Science, 2022
The extraction of cooccurrences between two events, A and B, is a central learning mechanism shared by all species capable of associative learning. Formally, the cooccurrence of events A and B appearing in a sequence is measured by the transitional probability (TP) between these events, and it corresponds to the probability of the second stimulus…
Descriptors: Animals, Learning Processes, Associative Learning, Serial Learning
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Doan, Tiffany; Stonehouse, Emily; Denison, Stephanie; Friedman, Ori – Developmental Psychology, 2022
In pursuing goals, people seek favorable odds. We investigated whether young children use this fact to infer goals from people's actions across two experiments on Canadian 3- to 7-year-old children (N = 316; 167 girls, 149 boys). Participants' demographic information was not formally collected, but the region is predominantly middle-class and…
Descriptors: Young Children, Inferences, Probability, Vignettes
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Yusuf, Mardiana; Rahim, Suzieleez Syrene Abdul; Eu, Leong Kwan – Malaysian Online Journal of Educational Sciences, 2022
Many challenges are identified when students solve mathematic problems especially in solving probability word problems. This study was conducted to identify the major challenges faced by matriculation college students while solving the probability of an event word problem. Seven matriculation college students were the sample for this case study.…
Descriptors: College Students, Probability, Problem Solving, Word Problems (Mathematics)
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Martínez-Pérez, Sandra Areli; Sanchez Sanchez, Ernesto A. – Canadian Journal of Science, Mathematics and Technology Education, 2022
This work reports the results of an investigation that aimed to know the informal reasoning of high school students with and about the frequency approach of probability and the law of large numbers when they were faced with a problem about random intervals. The research question was as follows: What features of students' reasoning about the…
Descriptors: High School Students, Thinking Skills, Incidence, Problem Solving
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Renelle, Amy; Budgett, Stephanie; Jones, Rhys – Canadian Journal of Science, Mathematics and Technology Education, 2022
This paper examines coin-toss comparison questions from two recent studies involving undergraduate students and high school teachers and connects to findings from two prior studies in the literature. Considering possible sample spaces employed by participants, this is a reflection on whether one sequence could be more likely depending on the…
Descriptors: Undergraduate Students, High School Teachers, Probability, Statistics Education
Jessica L. Herrod – ProQuest LLC, 2022
The Premack principle states that any Response A can reinforce any other Response B if the independent rate of A is greater than the independent rate of B (Premack, 1959). Applying the Premack principle involves arranging the environment to restrict access to certain responses based on relative probabilities of a set of given responses (Timberlake…
Descriptors: Student Behavior, Behavior Problems, Behavior Modification, Contingency Management
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William D. Riihiluoma; Zeynep Topdemir; John R. Thompson – Physical Review Physics Education Research, 2025
The ability to relate physical concepts and phenomena to multiple mathematical representations--and to move fluidly between these representations--is a critical outcome expected of physics instruction. In upper-division quantum mechanics, students must work with multiple symbolic notations, including some that they have not previously encountered.…
Descriptors: Undergraduate Students, College Faculty, Physics, Science Instruction
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