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Ding, Cherng G.; Jane, Ten-Der; Wu, Chiu-Hui; Lin, Hang-Rung; Shen, Chih-Kang – International Journal of Behavioral Development, 2017
It has been pointed out in the literature that misspecification of the level-1 error covariance structure in latent growth modeling (LGM) has detrimental impacts on the inferences about growth parameters. Since correct covariance structure is difficult to specify by theory, the identification needs to rely on a specification search, which,…
Descriptors: Statistical Analysis, Statistical Inference, Systems Approach, Sample Size
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Simons, Mandy; Beaver, David; Roberts, Craige; Tonhauser, Judith – Discourse Processes: A multidisciplinary journal, 2017
This article deals with projection in factive sentences. The article first challenges standard assumptions by presenting a series of detailed observations about the interpretations of factive sentences in context, showing that what implication projects, if any, is quite variable and that projection is tightly constrained by prosodic and contextual…
Descriptors: Sentences, Verbs, Linguistics, Context Effect
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Kurumada, Chigusa; Clark, Eve V. – Journal of Child Language, 2017
Can preschoolers make pragmatic inferences based on the intonation of an utterance? Previous work has found that young children appear to ignore intonational meanings and come to understand contrastive intonation contours only after age six. We show that four-year-olds succeed in interpreting an English utterance, such as "It LOOKS like a…
Descriptors: Preschool Children, Pragmatics, Inferences, Intonation
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Alian, Marwah; Shaout, Adnan – Education and Information Technologies, 2017
Learners style is grouped into four types mainly; Visual, auditory, kinesthetic and Read/Write. Each type of learners learns primarily through one of the main receiving senses, visual, listening, or by doing. Learner style has an effect on the learning process and learner's achievement. It is better to select suitable learning tool for the learner…
Descriptors: Prediction, Cognitive Style, Models, Student Characteristics
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Bzdok, Danilo; Varoquaux, Gaël; Thirion, Bertrand – Educational and Psychological Measurement, 2017
Brain-imaging technology has boosted the quantification of neurobiological phenomena underlying human mental operations and their disturbances. Since its inception, drawing inference on neurophysiological effects hinged on classical statistical methods, especially, the general linear model. The tens of thousands of variables per brain scan were…
Descriptors: Neurosciences, Brain, Diagnostic Tests, Statistical Inference
Peng Ding; Jiannan Lu – Grantee Submission, 2017
Practitioners are interested in not only the average causal effect of a treatment on the outcome but also the underlying causal mechanism in the presence of an intermediate variable between the treatment and outcome. However, in many cases we cannot randomize the intermediate variable, resulting in sample selection problems even in randomized…
Descriptors: Principals, Social Stratification, Scores, Causal Models
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Ebadi, Saman; Karimi, Elham; Vakili, Shokoufeh – Language Testing in Asia, 2023
As a part of a more extensive computerized dynamic assessment (CDA) project delivered through a dedicated website, www.lingeli.com, this study explores EFL learners' perspectives on an online listening comprehension dynamic assessment software focusing on inferential listening skills while trying to minimize the guessing effect. The study…
Descriptors: Listening Comprehension, Listening Comprehension Tests, Language Tests, Computer Assisted Testing
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Trott, Sean; Bergen, Benjamin – Discourse Processes: A Multidisciplinary Journal, 2019
People often speak ambiguously, as in the case of "indirect requests." Certain indirect requests are conventional and thus straightforward to interpret, such as "Can you turn on the heater?", but others require substantial additional inference, such as "It's cold in here." How do comprehenders make inferences about a…
Descriptors: Individual Differences, Speech Acts, Discourse Analysis, Intention
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Huh, Michelle; Friedman, Ori – Developmental Psychology, 2019
In 4 experiments, we show that young children (total N = 290) use information about supply and demand to infer the desirability of resources. In each experiment, children saw scenarios about sandwiches from different shops, which varied in supply (number of sandwiches produced for the day) and demand (number of customers attracted). In Experiments…
Descriptors: Young Children, Supply and Demand, Inferences, Childrens Attitudes
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Li, Degao; Wang, Shaai; Zhang, Fan; Zhu, Li; Wang, Tao; Wang, Xiaolu – Journal of Deaf Studies and Deaf Education, 2019
Irony comprehension can be a kind of challenge to those who are relatively less skillful in reading. To examine how DHH college students (DCSs) were different from hearing college students (HCSs) in the reading of ironic discourses, we conducted two experiments in the self-paced reading task. In Experiment 1, the statement was either literally…
Descriptors: Deafness, Hearing Impairments, College Students, Figurative Language
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Shah, Amee P. – Advances in Language and Literary Studies, 2019
While it is well-established that listeners judge accents different from their own, and that this listener bias has pervasive consequences to the speakers, we have only offered a cursory attention to understand the nature of this accent bias. This paper explores listeners' judgments, ratings, and qualitative comments associated with psychosocial,…
Descriptors: Dialects, Pronunciation, Bias, Stereotypes
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Lloyd, Kevin; Sanborn, Adam; Leslie, David; Lewandowsky, Stephan – Cognitive Science, 2019
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the…
Descriptors: Short Term Memory, Bayesian Statistics, Cognitive Ability, Individual Differences
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Vegetabile, Brian G.; Stout-Oswald, Stephanie A.; Davis, Elysia Poggi; Baram, Tallie Z.; Stern, Hal S. – Journal of Educational and Behavioral Statistics, 2019
Predictability of behavior is an important characteristic in many fields including biology, medicine, marketing, and education. When a sequence of actions performed by an individual can be modeled as a stationary time-homogeneous Markov chain the predictability of the individual's behavior can be quantified by the entropy rate of the process. This…
Descriptors: Markov Processes, Prediction, Behavior, Computation
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Vogel, David; Falter-Wagner, Christine M.; Schoofs, Theresa; Krämer, Katharina; Kupke, Christian; Vogeley, Kai – Journal of Autism and Developmental Disorders, 2019
Although the experience of time is of central relevance for psychopathology, qualitative approaches to study the inner experience of time have been largely neglected in autism research. We present results from qualitative data acquired from 26 adults with high functioning autism spectrum disorder (ASD). Employing inductive content analysis we…
Descriptors: Autism, Pervasive Developmental Disorders, Time, Psychopathology
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Rohlfing, Ingo; Schneider, Carsten Q. – Sociological Methods & Research, 2018
The combination of Qualitative Comparative Analysis (QCA) with process tracing, which we call set-theoretic multimethod research (MMR), is steadily becoming more popular in empirical research. Despite the fact that both methods have an elected affinity based on set theory, it is not obvious how a within-case method operating in a single case and a…
Descriptors: Mixed Methods Research, Qualitative Research, Comparative Analysis, Theories
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