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      Context effects on phoneme categorization in children with dyslexia

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          Abstract

          Research shows that, on average, children with dyslexia behave less categorically in phoneme categorization tasks. This study investigates three subtle ways that struggling readers may perform differently than their typically developing peers in this experimental context: sensitivity to the frequency distribution from which speech tokens are drawn, bias induced by previous stimulus presentations, and fatigue during the course of the task. We replicate findings that reading skill is related to categorical labeling, but we do not find evidence that sensitivity to the stimulus frequency distribution, the influence of previous stimulus presentations, and a measure of task engagement differs in children with dyslexia. It is, therefore, unlikely that the reliable relationship between reading skill and categorical labeling is attributable to artifacts of the task design, abnormal neural encoding, or executive function. Rather, categorical labeling may index a general feature of linguistic development whose causal relationship to literacy remains to be ascertained.

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              A practical solution to the pervasive problems of p values.

              In the field of psychology, the practice of p value null-hypothesis testing is as widespread as ever. Despite this popularity, or perhaps because of it, most psychologists are not aware of the statistical peculiarities of the p value procedure. In particular, p values are based on data that were never observed, and these hypothetical data are themselves influenced by subjective intentions. Moreover, p values do not quantify statistical evidence. This article reviews these p value problems and illustrates each problem with concrete examples. The three problems are familiar to statisticians but may be new to psychologists. A practical solution to these p value problems is to adopt a model selection perspective and use the Bayesian information criterion (BIC) for statistical inference (Raftery, 1995). The BIC provides an approximation to a Bayesian hypothesis test, does not require the specification of priors, and can be easily calculated from SPSS output.
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                Author and article information

                Contributors
                Journal
                J Acoust Soc Am
                J Acoust Soc Am
                JASMAN
                The Journal of the Acoustical Society of America
                Acoustical Society of America
                0001-4966
                1520-8524
                October 2020
                19 October 2020
                19 October 2020
                : 148
                : 4
                : 2209-2222
                Affiliations
                [1 ]Institute for Learning and Brain Sciences, University of Washington , Seattle, Washington 98105, USA
                [2 ]Graduate School of Education, Stanford University , Stanford, California 94305, USA
                Author notes
                Article
                10.0002181 JASA-05099
                10.1121/10.0002181
                7575329
                c2c760db-1b30-4c91-b9cd-38d8f972d573
                © 2020 Author(s).

                0001-4966/2020/148(4)/2209/14

                All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 09 December 2019
                : 23 September 2020
                : 28 September 2020
                Page count
                Pages: 14
                Funding
                Funded by: Eunice Kennedy Shriver National Institute of Child Health and Human Development https://doi.org/10.13039/100009633
                Award ID: P50 HD052120
                Funded by: Eunice Kennedy Shriver National Institute of Child Health and Human Development https://doi.org/10.13039/100009633
                Award ID: R21 HD092771
                Funded by: Microsoft https://doi.org/10.13039/100004318
                Funded by: National Institute on Deafness and Other Communication Disorders https://doi.org/10.13039/100000055
                Award ID: T32DC005361-16
                Funded by: National Science Foundation https://doi.org/10.13039/100000001
                Award ID: 1551330
                Categories
                Speech Communication
                Custom metadata

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