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Ranger, Jochen; Kuhn, Jörg Tobias; Ortner, Tuulia M. – Educational and Psychological Measurement, 2020
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels--one for the responses and one for the response times--that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a…
Descriptors: Reaction Time, Tests, Statistical Distributions, Models
Daher, Wajeeh; Anabousy, Ahlam – International Journal of Technology in Education and Science, 2020
Researchers point at the need to study the creative processes of students in problem solving, as these may indicate how to encourage creative problem solving. The present research attempts to study, based on the heuristic framework of Polya, pre-service teachers' flexibility processes when they solve a mathematical problem with technology. The…
Descriptors: Preservice Teachers, Problem Solving, Technology Uses in Education, Creativity
Batley, Prathiba Natesan; Minka, Tom; Hedges, Larry Vernon – Grantee Submission, 2020
Immediacy is one of the necessary criteria to show strong evidence of treatment effect in single case experimental designs (SCEDs). With the exception of Natesan and Hedges (2017) no inferential statistical tool has been used to demonstrate or quantify it until now. We investigate and quantify immediacy by treating the change-points between the…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Statistical Inference, Markov Processes
Negative Trait Inference in Behaviorally Inhibited Children Influences Their Internalizing Behaviors
Shuyi Zhai; Ruhan Ding; Mowei Shen; Jie He – Developmental Psychology, 2024
Behavioral inhibition (BI) is an early-appearing temperamental trait characterized by intense negative affect and withdrawal behaviors to novel and challenging situations. Inhibited children are more likely to display social withdrawal and experience an increased risk for internalizing problems. Trait inference, the way children interpret…
Descriptors: Inhibition, Individual Differences, Withdrawal (Psychology), At Risk Persons
Huang, Zhenzhen; Hu, Qingfen; Shao, Yi – Developmental Psychology, 2019
The current study investigated whether children understand the conditions under which another agent would hold uncertain knowledge resulting from inferential processes and, more importantly, whether children can make causal inferences about the relationship between the certainty of an agent's epistemic states and consequent behavioral strategies.…
Descriptors: Inferences, Young Children, Logical Thinking, Age Differences
Leighton, Jacqueline P. – British Journal of Educational Psychology, 2019
Background and Aims: In educational measurement, performance assessments occupy a niche for offering a true-to-life format that affords the measurement of high-level cognitive competencies and the evidence to draw inferences about intellectual capital. However, true-to-life formats also introduce myriad complexities and can skew if not outright…
Descriptors: Performance Based Assessment, Cognitive Processes, Inferences, Accuracy
Bonawitz, Elizabeth; Ullman, Tomer D.; Bridgers, Sophie; Gopnik, Alison; Tenenbaum, Joshua B. – Cognitive Science, 2019
Constructing an intuitive theory from data confronts learners with a "chicken-and-egg" problem: The laws can only be expressed in terms of the theory's core concepts, but these concepts are only meaningful in terms of the role they play in the theory's laws; how can a learner discover appropriate concepts and laws simultaneously, knowing…
Descriptors: Theories, Intuition, Magnets, Young Children
Lai, Mark H. C. – Journal of Educational and Behavioral Statistics, 2019
Previous studies have detailed the consequence of ignoring a level of clustering in multilevel models with straightly hierarchical structures and have proposed methods to adjust for the fixed effect standard errors (SEs). However, in behavioral and social science research, there are usually two or more crossed clustering levels, such as when…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Least Squares Statistics, Statistical Bias
Havron, Naomi; de Carvalho, Alex; Fiévet, Anne-Caroline; Christophe, Anne – Child Development, 2019
Adults create and update predictions about what speakers will say next. This study asks whether prediction can drive language acquisition, by testing whether 3- to 4-year-old children (n = 45) adapt to recent information when learning novel words. The study used a syntactic context which can precede both nouns and verbs to manipulate children's…
Descriptors: Prediction, Vocabulary Development, Nouns, Verbs
Joo, Seang-Hwane; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2019
Multilevel modeling has been utilized for combining single-case experimental design (SCED) data assuming simple level-1 error structures. The purpose of this study is to compare various multilevel analysis approaches for handling potential complexity in the level-1 error structure within SCED data, including approaches assuming simple and complex…
Descriptors: Hierarchical Linear Modeling, Synthesis, Data Analysis, Accuracy
Hußmann, Stephan; Schacht, Florian; Schindler, Maike – Mathematics Education Research Journal, 2019
The purpose of this article is to show how the philosophical theory of inferentialism can be used to understand students' conceptual development in the field of mathematics. Based on the works of philosophers such as Robert Brandom, an epistemological theory in mathematics education is presented that offers the opportunity to trace students'…
Descriptors: Inferences, Epistemology, Mathematics Skills, Mathematical Logic
Cranford, Edward A.; Moss, Jarrod – Discourse Processes: A Multidisciplinary Journal, 2019
The generation of predictive inferences may be difficult when a story leads to multiple possible consequences. The present study examined whether inferences are generated when the story implies two mutually exclusive consequences are nearly equally likely to occur. Experiment 1 used a word-naming task and showed that neither inference was…
Descriptors: Prediction, Inferences, Naming, Reading Rate
Chance, Beth; Tintle, Nathan; Reynolds, Shea; Patel, Ajay; Chan, Katherine; Leader, Sean – Statistics Education Research Journal, 2022
Using simulation-based inference (SBI), such as randomization tests, as the primary vehicle for introducing students to the logic and scope of statistical inference has been advocated with the potential of improving student understanding of statistical inference and the statistical investigative process. Moving beyond the individual class…
Descriptors: Mathematics Curriculum, Simulation, Student Characteristics, Prior Learning
Morrison, Timothy G.; Wilcox, Brad; Sudweeks, Richard R.; Bird, Lauren; Murdoch, Erica; Bursey, Hannah; Helvey, McKenzie – Reading Psychology, 2022
The authors of the Common Core State Standards and publishers of literacy programs focus on an essential aspect of comprehension, the process of drawing inferences. An inference refers to any piece of information that an author does not include in text but expects readers to use to make meaning. Four common inference types are anaphoric,…
Descriptors: Common Core State Standards, Inferences, Student Evaluation, Measures (Individuals)
Vasu, Kayatri A/P; Mei Fung, Yong; Nimehchisalem, Vahid; Md Rashid, Sabariah – RELC Journal: A Journal of Language Teaching and Research, 2022
In the English as a second language (ESL) research context, teachers are committed to ensuring that students are aware of their writing skills and the kinds of errors they make in their writing. This explains why teacher feedback is frequently practised in the writing classrooms. Self-assessment is another supplementary strategy that provides…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Writing Instruction

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