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      Figurative language comprehension in individuals with autism spectrum disorder: A meta-analytic review

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          Abstract

          We present a meta-analysis of studies that compare figurative language comprehension in individuals with autism spectrum disorder and in typically developing controls who were matched based on chronological age or/and language ability. A total of 41 studies and 45 independent effect sizes were included based on predetermined inclusion criteria. Group matching strategy, age, types of figurative language, and cross-linguistic differences were examined as predictors that might explain heterogeneity in effect sizes. Overall, individuals with autism spectrum disorder showed poorer comprehension of figurative language than their typically developing peers (Hedges’ g = –0.57). A meta-regression analysis showed that group matching strategy and types of figurative language were significantly related to differences in effect sizes, whereas chronological age and cross-linguistic differences were not. Differences between the autism spectrum disorder and typically developing groups were small and nonsignificant when the groups were matched based on the language ability. Metaphors were more difficult to comprehend for individuals with autism spectrum disorder compared with typically developing controls than were irony and sarcasm. Our findings highlight the critical role of core language skills in figurative language comprehension. Interventions and educational programmes designed to improve social communication skills in individuals with autism spectrum disorder may beneficially target core language skills in addition to social skills.

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          Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

          Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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            Distribution Theory for Glass's Estimator of Effect size and Related Estimators

            L. Hedges (1981)
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              Does the autistic child have a "theory of mind"?

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                Author and article information

                Journal
                Autism
                Autism
                AUT
                spaut
                Autism
                SAGE Publications (Sage UK: London, England )
                1362-3613
                1461-7005
                30 November 2016
                February 2018
                : 22
                : 2
                : 99-117
                Affiliations
                [1 ]University of Oslo, Norway
                [2 ]University College London, UK
                [3 ]Oslo University Hospital, Norway
                Author notes
                [*]Tamar Kalandadze, Department of Special Needs Education, University of Oslo, PO Box 1140, Blindern, 0318 Oslo, Norway. Email: tamar.kalandadze@ 123456isp.uio.no
                Article
                10.1177_1362361316668652
                10.1177/1362361316668652
                5843023
                27899711
                d59d9baf-5a9b-48f4-ae9c-dbc5c47e8a02
                © The Author(s) 2016

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

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                autism spectrum disorder,figurative language,meta-analysis,metaphor

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