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      Subtypes of Aggressive Behavior in Children with Autism in the Context of Emotion Recognition, Hostile Attribution Bias, and Dysfunctional Emotion Regulation

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          Abstract

          The causes of aggressive behavior in children with autism are poorly understood, which limits treatment options. Therefore, this study used behavioral testing and parent reports of 60 children with autism to investigate the interplay of emotion misinterpretation and hostile attribution bias in the prediction of different aggressive behaviors. Further, the additional impact of dysfunctional emotion regulation was examined. Path analyses indicated that hostile attribution bias increased verbal and covert aggression but not physical aggression and bullying. Dysfunctional emotion regulation had an additional impact on bullying, verbal aggression, and covert aggression. Emotion recognition was positively associated with hostile attribution bias. These findings provide a first insight into a complex interplay of socio-emotional variables; longitudinal studies are needed to examine causal relationships.

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          Nonparametric estimation of Shannon’s index of diversity when there are unseen species in sample

          Journal of Autism and Developmental Disorders, 30(3), 205-223
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            Bias in cross-sectional analyses of longitudinal mediation.

            Most empirical tests of mediation utilize cross-sectional data despite the fact that mediation consists of causal processes that unfold over time. The authors considered the possibility that longitudinal mediation might occur under either of two different models of change: (a) an autoregressive model or (b) a random effects model. For both models, the authors demonstrated that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters even under the ideal conditions when mediation is complete. In longitudinal models where variable M completely mediates the effect of X on Y, cross-sectional estimates of the direct effect of X on Y, the indirect effect of X on Y through M, and the proportion of the total effect mediated by M are often highly misleading. (c) 2007 APA, all rights reserved.
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              Power and sensitivity of alternative fit indices in tests of measurement invariance.

              Confirmatory factor analytic tests of measurement invariance (MI) based on the chi-square statistic are known to be highly sensitive to sample size. For this reason, G. W. Cheung and R. B. Rensvold (2002) recommended using alternative fit indices (AFIs) in MI investigations. In this article, the authors investigated the performance of AFIs with simulated data known to not be invariant. The results indicate that AFIs are much less sensitive to sample size and are more sensitive to a lack of invariance than chi-square-based tests of MI. The authors suggest reporting differences in comparative fit index (CFI) and R. P. McDonald's (1989) noncentrality index (NCI) to evaluate whether MI exists. Although a general value of change in CFI (.002) seemed to perform well in the analyses, condition specific change in McDonald's NCI values exhibited better performance than a single change in McDonald's NCI value. Tables of these values are provided as are recommendations for best practices in MI testing. PsycINFO Database Record (c) 2008 APA, all rights reserved.
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                Author and article information

                Contributors
                simone.kirst@hu-berlin.de
                Journal
                J Autism Dev Disord
                J Autism Dev Disord
                Journal of Autism and Developmental Disorders
                Springer US (New York )
                0162-3257
                1573-3432
                20 December 2021
                20 December 2021
                2022
                : 52
                : 12
                : 5367-5382
                Affiliations
                [1 ]GRID grid.7468.d, ISNI 0000 0001 2248 7639, Clinical Psychology of Social Interaction, Berlin School of Mind and Brain, Department of Psychology, , Humboldt-Universität zu Berlin, ; Berlin, Germany
                [2 ]Berlin, Germany
                [3 ]GRID grid.7450.6, ISNI 0000 0001 2364 4210, Department of Child and Adolescent Psychiatry and Psychotherapy, , University Medicine, Georg-August Universität Göttingen, ; Göttingen, Germany
                Author information
                http://orcid.org/0000-0002-2093-5677
                Article
                5387
                10.1007/s10803-021-05387-w
                9637050
                34931277
                89b6182c-8fe8-4a9f-b2d5-aa82f956761a
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 November 2021
                Funding
                Funded by: stiftung irene (germany)
                Funded by: berlin school of mind and brain
                Funded by: medical-scientific funds of the mayor of vienna (austria)
                Funded by: Humboldt-Universität zu Berlin (1034)
                Categories
                Original Paper
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2022

                Neurology
                autism,children,aggression subtypes,hostile attribution bias,emotion regulation,emotion recognition

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