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Jack Dempsey; Kiel Christianson; Julie A. Van Dyke – Reading and Writing: An Interdisciplinary Journal, 2025
Typical print formatting provides no information regarding the linguistic features of a text, although texts vary considerably with respect to grammatical complexity and readability. Complex texts may be particularly challenging for individuals with weak language knowledge, such as English language learners. This paper investigates the usefulness…
Descriptors: Reading Comprehension, Mandarin Chinese, Korean, Native Language
Norouzian, Reza; de Miranda, Michael; Plonsky, Luke – Modern Language Journal, 2019
Null hypothesis testing has long since been the 'go-to analytic approach' in quantitative second language (L2) research (Norris, 2015, p. 97). To many, however, years of reliance on this approach has resulted in a crisis of inference across the social and behavioral sciences (e.g., Rouder et al., 2016). As an alternative to the null hypothesis…
Descriptors: Bayesian Statistics, Second Language Learning, Second Language Instruction, Hypothesis Testing
Language Learnability Analysis of Hindi: A Comparison with Ideal and Constrained Learning Approaches
Saini, Sandeep; Sahula, Vineet – Journal of Psycholinguistic Research, 2019
Native language acquisition is one of the initial processes undertaken by the human brain in the infant stage of life. The linguist community has always been interested in finding the method, which is adopted by the human brain to acquire the native language. Word segmentation in one of the most important tasks in acquiring the language.…
Descriptors: Cognitive Style, Second Language Learning, Contrastive Linguistics, Indo European Languages
Wu, Mike; Davis, Richard L.; Domingue, Benjamin W.; Piech, Chris; Goodman, Noah – International Educational Data Mining Society, 2020
Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…
Descriptors: Item Response Theory, Accuracy, Data Analysis, Public Policy
Ross, Steven J.; Mackey, Beth – Language Learning, 2015
This chapter introduces three applications of Bayesian inference to common and novel issues in second language research. After a review of the critiques of conventional hypothesis testing, our focus centers on ways Bayesian inference can be used for dealing with missing data, for testing theory-driven substantive hypotheses without a default null…
Descriptors: Bayesian Statistics, Hypothesis Testing, Meta Analysis, Inferences
Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
Stevens, John R.; Taylor, Alan M. – Journal of Educational and Behavioral Statistics, 2009
Meta-analysis is a frequent tool among education and behavioral researchers to combine results from multiple experiments to arrive at a clear understanding of some effect of interest. One of the traditional assumptions in a meta-analysis is the independence of the effect sizes from the studies under consideration. This article presents a…
Descriptors: Meta Analysis, Vertical Organization, Effect Size, Computation